Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and
  Vision-Language Tasks

Mapping Tropical Forest Cover and Deforestation with Planet NICFI
  Satellite Images and Deep Learning in Mato Grosso State (Brazil) from 2015 to
  2021

Exact Quantum Algorithms for Quantum Phase Recognition: Renormalization
  Group and Error Correction

MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained
  Object Detectors

ConStruct-VL: Data-Free Continual Structured VL Concepts Learning

SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields

Assessing Neural Network Robustness via Adversarial Pivotal Tuning

Monitoring machine learning (ML)-based risk prediction algorithms in the
  presence of confounding medical interventions

I Can't Believe There's No Images! Learning Visual Tasks Using only
  Language Data

Cheeger Inequalities for Directed Graphs and Hypergraphs Using
  Reweighted Eigenvalues

DeepSense 6G: A Large-Scale Real-World Multi-Modal Sensing and
  Communication Dataset

Heart Abnormality Detection from Heart Sound Signals using MFCC Feature
  and Dual Stream Attention Based Network

Probing for Incremental Parse States in Autoregressive Language Models

Sub-Graph Learning for Spatiotemporal Forecasting via Knowledge
  Distillation

A Finite-Particle Convergence Rate for Stein Variational Gradient
  Descent

Style Classification of Rabbinic Literature for Detection of Lost
  Midrash Tanhuma Material

Sources of performance variability in deep learning-based polyp
  detection

Listen, denoise, action! Audio-driven motion synthesis with diffusion
  models

EfficientTrain: Exploring Generalized Curriculum Learning for Training
  Visual Backbones

Machine learning opens a doorway for microrheology with optical tweezers
  in living systems

Towards Automated Design of Bayesian Optimization via Exploratory
  Landscape Analysis

HARDVS: Revisiting Human Activity Recognition with Dynamic Vision
  Sensors

Language Conditioned Spatial Relation Reasoning for 3D Object Grounding

CPT-V: A Contrastive Approach to Post-Training Quantization of Vision
  Transformers

Design, Optimization, and Reverse Engineering of High-Power Laser
  Systems

On the Sample Complexity of Two-Layer Networks: Lipschitz vs.
  Element-Wise Lipschitz Activation

Finite Approximations and Q learning for Mean Field Type Multi Agent
  Control

Predicting Human Mobility via Self-supervised Disentanglement Learning

AlphaSnake: Policy Iteration on a Nondeterministic NP-hard Markov
  Decision Process

Quantum paraelectricity and structural phase transitions in strontium
  titanate beyond density-functional theory

Validation Diagnostics for SBI algorithms based on Normalizing Flows

Implementation and goals of quantum optics experiments in undergraduate
  lab courses

NorMatch: Matching Normalizing Flows with Discriminative Classifiers for
  Semi-Supervised Learning

Spatial Graph Convolution Neural Networks for Water Distribution Systems

Mitigating the Hubbard Sign Problem. A Novel Application of Machine
  Learning

Towards Good Practices in Evaluating Transfer Adversarial Attacks

Interpretable HER2 scoring by evaluating clinical Guidelines through a
  weakly supervised, constrained Deep Learning Approach

Deep Learning for Optimal Volt/VAR Control using Distributed Energy
  Resources

UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video
  UniFormer

Data fusion techniques for fault diagnosis of industrial machines: a
  survey

A Reinforcement Learning Approach for Process Parameter Optimization in
  Additive Manufacturing

DynaPicker: Dynamic Convolutional Neural Networks for Seismic Phase
  Classification and Arrival time Picking

Neural Langevin Dynamics: towards interpretable Neural Stochastic
  Differential Equations

Towards Building Text-To-Speech Systems for the Next Billion Users

Proactively Predicting Dynamic 6G Link Blockages Using LiDAR and In-Band
  Signatures

Optimised graded metamaterials for energy harvesting via reinforcement
  learning

Air pollution models in epidemiologic studies with geostatistics and
  machine learning

Self-supervised Trajectory Representation Learning with Temporal
  Regularities and Travel Semantics

Adaptive Representations of Sound for Automatic Insect Recognition

EmoDiff: Intensity Controllable Emotional Text-to-Speech with Soft-Label
  Guidance

Photometric redshift estimation of galaxies in the DESI Legacy Imaging
  Surveys

Solar Power driven EV Charging Optimization with Deep Reinforcement
  Learning

Parameterization of state duration in Hidden semi-Markov Models: an
  application in electrocardiography

RDRN: Recursively Defined Residual Network for Image Super-Resolution

Abstractive Summarization Guided by Latent Hierarchical Document
  Structure

Detecting Arbitrary Keypoints on Limbs and Skis with Sparse Partly
  Correct Segmentation Masks

Massive Gauge Theory with Quasigluon for Hot $SU(N)$ Part I: Phase
  Transition and Thermodynamics

Learning to Control Rapidly Changing Synaptic Connections: An
  Alternative Type of Memory in Sequence Processing Artificial Neural Networks

Feature-augmented Machine Reading Comprehension with Auxiliary Tasks

Feedback is Needed for Retakes: An Explainable Poor Image Notification
  Framework for the Visually Impaired

DexPoint: Generalizable Point Cloud Reinforcement Learning for
  Sim-to-Real Dexterous Manipulation

FedSiam-DA: Dual-aggregated Federated Learning via Siamese Networks
  under Non-IID Data

Color Image steganography using Deep convolutional Autoencoders based on
  ResNet architecture

Personalized Federated Learning for Multi-task Fault Diagnosis of
  Rotating Machinery

Data-Efficient Autoregressive Document Retrieval for Fact Verification

Planning Irregular Object Packing via Hierarchical Reinforcement
  Learning

Multilayer Perceptron-based Surrogate Models for Finite Element Analysis

CapEnrich: Enriching Caption Semantics for Web Images via Cross-modal
  Pre-trained Knowledge

Low-Resource Mongolian Speech Synthesis Based on Automatic Prosody
  Annotation

Securer and Faster Privacy-Preserving Distributed Machine Learning

Learning Domain and Pose Invariance for Thermal-to-Visible Face
  Recognition

ACon$^2$: Adaptive Conformal Consensus for Provable Blockchain Oracles

TAX-Pose: Task-Specific Cross-Pose Estimation for Robot Manipulation

Interpretable Dimensionality Reduction by Feature Preserving Manifold
  Approximation and Projection

Improving Federated Learning Communication Efficiency with Global
  Momentum Fusion for Gradient Compression Schemes

Explainable, Domain-Adaptive, and Federated Artificial Intelligence in
  Medicine

Unsupervised Model-based speaker adaptation of end-to-end lattice-free
  MMI model for speech recognition

Problem Behaviors Recognition in Videos using Language-Assisted Deep
  Learning Model for Children with Autism

Proactive Resilient Transmission and Scheduling Mechanisms for mmWave
  Networks

Integration of discrete-event dynamics and machining dynamics for
  machine tool: modeling, analysis and algorithms

You Only Label Once: 3D Box Adaptation from Point Cloud to Image via

FedFA: Federated Learning with Feature Anchors to Align Feature and
  Classifier for Heterogeneous Data

Testing for context-dependent changes in neural encoding in naturalistic
  experiments

Variable selection for nonlinear Cox regression model via deep learning

Privacy against Real-Time Speech Emotion Detection via Acoustic
  Adversarial Evasion of Machine Learning

A Generalized Latent Factor Model Approach to Mixed-data Matrix
  Completion with Entrywise Consistency

Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue
  Response Quality

Informative Initialization and Kernel Selection Improves t-SNE for
  Biological Sequences

Beurling-Selberg Extremization for Dual-Blind Deconvolution Recovery in
  Joint Radar-Communications

Stimulation of soy seeds using environmentally friendly magnetic and
  electric fields

The Surprising Effectiveness of Equivariant Models in Domains with
  Latent Symmetry

The non-overlapping statistical approximation to overlapping group lasso

edBB-Demo: Biometrics and Behavior Analysis for Online Educational
  Platforms

A Graph-Based Context-Aware Model to Understand Online Conversations

An Empirical Analysis of the Advantages of Finite- v.s. Infinite-Width
  Bayesian Neural Networks

CASPR: Customer Activity Sequence-based Prediction and Representation

A Two-Stage Deep Representation Learning-Based Speech Enhancement Method
  Using Variational Autoencoder and Adversarial Training

Learnable Graph Convolutional Network and Feature Fusion for Multi-view
  Learning

A Unified Multimodal De- and Re-coupling Framework for RGB-D Motion

The Pandora project. I: the impact of radiation and cosmic rays on
  baryonic and dark matter properties of dwarf galaxies

DIGS: Deep Inference of Galaxy Spectra with Neural Posterior Estimation

Characterizing 4-string contact interaction using machine learning

AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with
  Masked Autoencoders

MAGE: MAsked Generative Encoder to Unify Representation Learning and
  Image Synthesis

Reconstruction of full sky CMB E and B modes spectra removing E-to-B
  leakage from partial sky using deep learning

Comparative Learning: A Sample Complexity Theory for Two Hypothesis
  Classes

ATEAM: Knowledge Integration from Federated Datasets for Vehicle Feature
  Extraction using Annotation Team of Experts

Testing geometric representation hypotheses from simulated place cell
  recordings

Experimental Analysis of Machine Learning Techniques for Finding Search
  Radius in Locality Sensitive Hashing

Molecular Fingerprints for Robust and Efficient ML-Driven Molecular
  Generation

Technical Report on Neural Language Models and Few-Shot Learning for
  Systematic Requirements Processing in MDSE

Applications of Differentiable Physics Simulations in Particle
  Accelerator Modeling

Mitigating Frequency Bias in Next-Basket Recommendation via
  Deconfounders

Ischemic Stroke Lesion Prediction using imbalanced Temporal Deep
  Gaussian Process (iTDGP)

Squeeze flow of micro-droplets: convolutional neural network with
  trainable and tunable refinement

Deep learning of spatial densities in inhomogeneous correlated quantum
  systems

Region Proposal Network Pre-Training Helps Label-Efficient Object
  Detection

Learning Reward Functions for Robotic Manipulation by Observing Humans

Real Estate Attribute Prediction from Multiple Visual Modalities with
  Missing Data

ToolFlowNet: Robotic Manipulation with Tools via Predicting Tool Flow
  from Point Clouds

On the Accuracy of Hotelling-Type Tensor Deflation: A Random Tensor
  Analysis

Data-pooling Reinforcement Learning for Personalized Healthcare
  Intervention

Estimating Dynamic Spillover Effects along Multiple Networks in a Linear
  Panel Model

Generating Stable and Collision-Free Policies through Lyapunov Function
  Learning

New Frontiers in Graph Autoencoders: Joint Community Detection and Link
  Prediction

Energy Reconstruction in Analysis of Cherenkov Telescopes Images in
  TAIGA Experiment Using Deep Learning Methods

Vector-Valued Least-Squares Regression under Output Regularity
  Assumptions

A Comprehensive Survey on Spectrum Sharing Techniques for 5G/B5G
  Intelligent Wireless Networks: Opportunities, Challenges and Future Research
  Directions

Weakly-supervised Fingerspelling Recognition in British Sign Language
  Videos

Reasons for the Superiority of Stochastic Estimators over Deterministic
  Ones: Robustness, Consistency and Perceptual Quality

Comparing Explanation Methods for Traditional Machine Learning Models
  Part 1: An Overview of Current Methods and Quantifying Their Disagreement

Differentially Private Optimizers Can Learn Adversarially Robust Models

Augmented Physics-Informed Neural Networks (APINNs): A gating
  network-based soft domain decomposition methodology

On the Connection of Generative Models and Discriminative Models for
  Anomaly Detection

Self-supervised Egomotion and Depth Learning via Bi-directional
  Coarse-to-Fine Scale Recovery

Cross-Mode Knowledge Adaptation for Bike Sharing Demand Prediction using
  Domain-Adversarial Graph Neural Networks

Convergence analysis of unsupervised Legendre-Galerkin neural networks
  for linear second-order elliptic PDEs

AdaTriplet-RA: Domain Matching via Adaptive Triplet and Reinforced
  Attention for Unsupervised Domain Adaptation

ELDA: Using Edges to Have an Edge on Semantic Segmentation Based UDA

Stare at What You See: Masked Image Modeling without Reconstruction

Features for the 0-1 knapsack problem based on inclusionwise maximal
  solutions

Temporal-spatial Representation Learning Transformer for EEG-based
  Emotion Recognition

Learning linear operators: Infinite-dimensional regression as a
  well-behaved non-compact inverse problem

Unsupervised Domain Adaptation Based on the Predictive Uncertainty of
  Models

PrivacyProber: Assessment and Detection of Soft-Biometric
  Privacy-Enhancing Techniques

Attacking Object Detector Using A Universal Targeted Label-Switch Patch

Delivering Speaking Style in Low-resource Voice Conversion with
  Multi-factor Constraints

Challenges in creative generative models for music: a divergence
  maximization perspective

Graph Filters for Signal Processing and Machine Learning on Graphs

L2 proficiency assessment using self-supervised speech representations

Fast and Accurate FSA System Using ELBERT: An Efficient and Lightweight
  BERT

Semi-Supervised and Self-Supervised Collaborative Learning for Prostate
  3D MR Image Segmentation

On using the UA-Speech and TORGO databases to validate automatic
  dysarthric speech classification approaches

Neurodevelopmental Phenotype Prediction: A State-of-the-Art Deep
  Learning Model

Interacting Hand-Object Pose Estimation via Dense Mutual Attention

Analysis and Detectability of Offline Data Poisoning Attacks on Linear
  Systems

Giving Feedback on Interactive Student Programs with Meta-Exploration

Adapting to noise distribution shifts in flow-based gravitational-wave
  inference

Model Based Residual Policy Learning with Applications to Antenna
  Control

Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed
  Representations

Boosting Object Representation Learning via Motion and Object Continuity

Minimization and Learning of Deterministic $ω$-Automata in the
  Presence of Don't Care Words

Uncertainty-Aware Multi-Parametric Magnetic Resonance Image Information
  Fusion for 3D Object Segmentation

An Efficient COarse-to-fiNE Alignment Framework @ Ego4D Natural Language
  Queries Challenge 2022

TransCC: Transformer-based Multiple Illuminant Color Constancy Using
  Multitask Learning

Separable PINN: Mitigating the Curse of Dimensionality in
  Physics-Informed Neural Networks

SVD-PINNs: Transfer Learning of Physics-Informed Neural Networks via
  Singular Value Decomposition

Indoor Positioning via Gradient Boosting Enhanced with Feature
  Augmentation using Deep Learning

Auditing Algorithmic Fairness in Machine Learning for Health with
  Severity-Based LOGAN

Minimum information divergence of Q-functions for dynamic treatment
  resumes

A Basic Algorithm for Generating Individualized Numerical Scale (BAGINS)

Near-Term Quantum Computing Techniques: Variational Quantum Algorithms,
  Error Mitigation, Circuit Compilation, Benchmarking and Classical Simulation

Can Strategic Data Collection Improve the Performance of Poverty
  Prediction Models?

Lesion Guided Explainable Few Weak-shot Medical Report Generation

SWIN-SFTNet : Spatial Feature Expansion and Aggregation using Swin
  Transformer For Whole Breast micro-mass segmentation

Conditional variational autoencoder to improve neural audio synthesis
  for polyphonic music sound

Improving Feature-based Visual Localization by Geometry-Aided Matching

Resource Allocation of Federated Learning for the Metaverse with Mobile
  Augmented Reality

Interpretable Self-Aware Neural Networks for Robust Trajectory

PBSM: Backdoor attack against Keyword spotting based on pitch boosting
  and sound masking

Improving Interpretability via Regularization of Neural Activation
  Sensitivity

Automated Analysis of Drawing Process for Detecting Prodromal and
  Clinical Dementia

An Efficient Light-weight LSB steganography with Deep learning
  Steganalysis

XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for
  the Metaverse

LEMMA: Bootstrapping High-Level Mathematical Reasoning with Learned
  Symbolic Abstractions

Addressing the issue of stochastic environments and local
  decision-making in multi-objective reinforcement learning

SETAR-Tree: A Novel and Accurate Tree Algorithm for Global Time Series
  Forecasting

Prediction and Uncertainty Quantification of SAFARI-1 Axial Neutron Flux
  Profiles with Neural Networks

#maskUp: Selective Attribute Encryption for Sensitive Vocalization for
  English language on Social Media Platforms

Using explainability to design physics-aware CNNs for solving subsurface
  inverse problems

Coronavirus statistics causes emotional bias: a social media text mining
  perspective

Keep Your Friends Close & Enemies Farther: Debiasing Contrastive
  Learning with Spatial Priors in 3D Radiology Images

Near-peer mentoring in data science: Two experiences at Stanford
  University

Semantic keypoint extraction for scanned animals using
  multi-depth-camera systems

Leveraging Heteroscedastic Uncertainty in Learning Complex Spectral
  Mapping for Single-channel Speech Enhancement

Impact of Redundancy on Resilience in Distributed Optimization and
  Learning

GLFF: Global and Local Feature Fusion for Face Forgery Detection

LightDepth: A Resource Efficient Depth Estimation Approach for Dealing
  with Ground Truth Sparsity via Curriculum Learning

PU GNN: Chargeback Fraud Detection in P2E MMORPGs via Graph Attention
  Networks with Imbalanced PU Labels

SketchySGD: Reliable Stochastic Optimization via Robust Curvature
  Estimates

Orthogonal Polynomials Quadrature Algorithm (OPQA): A Functional
  Analytical Approach to Bayesian Inference

Exploring Supervised Machine Learning for Multi-Phase Identification and
  Quantification from Powder X-Ray Diffraction Spectra

Disentangling Task Relations for Few-shot Text Classification via
  Self-Supervised Hierarchical Task Clustering

Cyrus2D base: Source Code Base for RoboCup 2D Soccer Simulation League

Toward expanding the scope of radiology report summarization to multiple
  anatomies and modalities

Empirical Study on Optimizer Selection for Out-of-Distribution
  Generalization

Sparse Signal Detection in Heteroscedastic Gaussian Sequence Models:
  Sharp Minimax Rates

Chromospheric and Coronal heating in active region plage by dissipation
  of currents from braiding

Realization of Causal Representation Learning to Adjust Confounding Bias
  in Latent Space

Dynamic-Pix2Pix: Noise Injected cGAN for Modeling Input and Target
  Domain Joint Distributions with Limited Training Data

Graph Sequential Neural ODE Process for Link Prediction on Dynamic and
  Sparse Graphs

Quantum Reservoir Computing Implementations for Classical and Quantum
  Problems

The Association Between SOC and Land Prices Considering Spatial
  Heterogeneity Based on Finite Mixture Modeling

ConvFormer: Combining CNN and Transformer for Medical Image Segmentation

Cross-Domain Self-Supervised Deep Learning for Robust Alzheimer's
  Disease Progression Modeling

Unsupervised Feature Clustering Improves Contrastive Representation
  Learning for Medical Image Segmentation

ALIGN-MLM: Word Embedding Alignment is Crucial for Multilingual
  Pre-training

Behavior of Hyper-Parameters for Selected Machine Learning Algorithms:
  An Empirical Investigation

A Point in the Right Direction: Vector Prediction for Spatially-aware
  Self-supervised Volumetric Representation Learning

LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly Detection

Circumbinary planets: migration, trapping in mean-motion resonances, and
  ejection

A Hierarchical Deep Neural Network for Detecting Lines of Codes with
  Vulnerabilities

Searching for Carriers of the Diffuse Interstellar Bands Across
  Disciplines, using Natural Language Processing

N2V2 -- Fixing Noise2Void Checkerboard Artifacts with Modified Sampling
  Strategies and a Tweaked Network Architecture

ParticleGrid: Enabling Deep Learning using 3D Representation of
  Materials

Classification of the Cervical Vertebrae Maturation (CVM) stages Using
  the Tripod Network

APT: Adaptive Perceptual quality based camera Tuning using reinforcement
  learning

Characterizing the structure of mouse behavior using Motion Sequencing

Vital Measurements of Hospitalized COVID-19 Patients as a Predictor of
  Long COVID: An EHR-based Cohort Study from the RECOVER Program in N3C

Analyse der Entwicklungstreiber militärischer Schwarmdrohnen durch
  Natural Language Processing

DyFraNet: Forecasting and Backcasting Dynamic Fracture Mechanics in
  Space and Time Using a 2D-to-3D Deep Neural Network

Search for supersymmetry in final states with a single electron or muon
  using angular correlations and heavy-object identification in proton-proton
  collisions at $\sqrt{s}$ = 13 TeV

Deep learning for table detection and structure recognition: A survey

Structured Exploration Through Instruction Enhancement for Object
  Navigation

SexWEs: Domain-Aware Word Embeddings via Cross-lingual Semantic
  Specialisation for Chinese Sexism Detection in Social Media

Is the Machine Smarter than the Theorist: Deriving Formulas for Particle
  Kinematics with Symbolic Regression

Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational
  Wave Population Study

Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning
  During Deployment

Decentralized Federated Learning: Fundamentals, State-of-the-art,
  Frameworks, Trends, and Challenges

REPAIR: REnormalizing Permuted Activations for Interpolation Repair

Air Pollution Hotspot Detection and Source Feature Analysis using
  Cross-domain Urban Data

On the Performance of Direct Loss Minimization for Bayesian Neural
  Networks

Photometric identification of compact galaxies, stars and quasars using
  multiple neural networks

CardiacGen: A Hierarchical Deep Generative Model for Cardiac Signals

Universal Distributional Decision-based Black-box Adversarial Attack
  with Reinforcement Learning

Anomaly Detection in Multiplex Dynamic Networks: from Blockchain
  Security to Brain Disease Prediction

Pragmatics in Grounded Language Learning: Phenomena, Tasks, and Modeling
  Approaches

Methodological proposal to identify the nationality of Twitter users
  through Random-Forests

Easy to Decide, Hard to Agree: Reducing Disagreements Between Saliency
  Methods

A Survey on the Integration of Machine Learning with Sampling-based
  Motion Planning

User-Specific Bicluster-based Collaborative Filtering: Handling
  Preference Locality, Sparsity and Subjectivity

Classifying text using machine learning models and determining
  conversation drift

Collaborative and AI-aided Exam Question Generation using Wikidata in
  Education

Probabilistic Deep Metric Learning for Hyperspectral Image
  Classification

On interpretability and proper latent decomposition of autoencoders

Weighted Sum-Rate Maximization With Causal Inference for Latent
  Interference Estimation

Identification of medical devices using machine learning on distribution
  feeder data for informing power outage response

PARTNR: Pick and place Ambiguity Resolving by Trustworthy iNteractive
  leaRning

Solving clustering as ill-posed problem: experiments with K-Means
  algorithm

Molecular strong coupling: an exploration employing open, half- and full
  planar cavities

An FNet based Auto Encoder for Long Sequence News Story Generation

Attacking and Defending Deep-Learning-Based Off-Device Wireless
  Positioning Systems

Cross-Stitched Multi-task Dual Recursive Networks for Unified Single
  Image Deraining and Desnowing

Time-domain Classification of the Brain Reward System: Analysis of
  Natural- and Drug-Reward Driven Local Field Potential Signals in Hippocampus
  and Nucleus Accumbens

Identifying Spurious Correlations and Correcting them with an
  Explanation-based Learning

Towards an objective characterization of an individual's facial
  movements using Self-Supervised Person-Specific-Models

A Comparative Study of Machine Learning and Deep Learning Techniques for
  Prediction of Co2 Emission in Cars

Reads2Vec: Efficient Embedding of Raw High-Throughput Sequencing Reads
  Data

AutoTherm: A Dataset and Ablation Study for Thermal Comfort Prediction
  in Vehicles

HMOE: Hypernetwork-based Mixture of Experts for Domain Generalization

Offline Reinforcement Learning with Adaptive Behavior Regularization

Explaining Cross-Domain Recognition with Interpretable Deep Classifier

Scene-to-Patch Earth Observation: Multiple Instance Learning for Land
  Cover Classification

Exploiting Contrastive Learning and Numerical Evidence for Improving
  Confusing Legal Judgment Prediction

CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive
  Learning

Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big
  Data Analytics

Impact of combining human and analytics feedback on students' engagement
  with, and performance in, reflective writing tasks

Is Style All You Need? Dependencies Between Emotion and GST-based
  Speaker Recognition

Masked Reconstruction Contrastive Learning with Information Bottleneck
  Principle

Phase Distribution in Probabilistic Movement Primitives, Representing
  Time Variability for the Recognition and Reproduction of Human Movements

Detecting train driveshaft damages using accelerometer signals and
  Differential Convolutional Neural Networks

Probing the limits of the phonon quasi-particle picture: The transition
  from underdamped to overdamped dynamics in CsPbBr3

Machine learning for interpreting coherent X-ray speckle patterns

RobBERT-2022: Updating a Dutch Language Model to Account for Evolving
  Language Use

Improved disentangled speech representations using contrastive learning
  in factorized hierarchical variational autoencoder

Chaotic mode-competition dynamics in a multimode semiconductor laser
  with optical feedback and injection

Artificial intelligence approaches for materials-by-design of energetic
  materials: state-of-the-art, challenges, and future directions

Premonition Net, A Multi-Timeline Transformer Network Architecture
  Towards Strawberry Tabletop Yield Forecasting

Few-Shot Inductive Learning on Temporal Knowledge Graphs using
  Concept-Aware Information

Type Information Utilized Event Detection via Multi-Channel GNNs in
  Electrical Power Systems

Exploring the Joint Use of Rehearsal and Knowledge Distillation in
  Continual Learning for Spoken Language Understanding

Spatiotemporal modeling of European paleoclimate using doubly sparse
  Gaussian processes

RelaxNet: A structure-preserving neural network to approximate the
  Boltzmann collision operator

Encoding feature supervised UNet++: Redesigning Supervision for liver
  and tumor segmentation

SSM-Net: feature learning for Music Structure Analysis using a
  Self-Similarity-Matrix based loss

Self-supervised remote sensing feature learning: Learning Paradigms,
  Challenges, and Future Works

DeepRGVP: A Novel Microstructure-Informed Supervised Contrastive
  Learning Framework for Automated Identification Of The Retinogeniculate
  Pathway Using dMRI Tractography

An Efficient Active Learning Pipeline for Legal Text Classification

Instance-aware Model Ensemble With Distillation For Unsupervised Domain
  Adaptation

DualNER: A Dual-Teaching framework for Zero-shot Cross-lingual Named
  Entity Recognition

Hierarchical Pronunciation Assessment with Multi-Aspect Attention

Power-law Scaling to Assist with Key Challenges in Artificial
  Intelligence

Unveiling interpretable development-specific gene signatures in the
  developing human prefrontal cortex with ICGS

ShadowDiffusion: Diffusion-based Shadow Removal using Classifier-driven
  Attention and Structure Preservation

Autonomous Golf Putting with Data-Driven and Physics-Based Methods

UniHPF : Universal Healthcare Predictive Framework with Zero Domain
  Knowledge

EDEN : An Event DEtection Network for the annotation of Breast Cancer
  recurrences in administrative claims data

GLUE-X: Evaluating Natural Language Understanding Models from an
  Out-of-distribution Generalization Perspective

Resisting Graph Adversarial Attack via Cooperative Homophilous
  Augmentation

Physics-Informed Machine Learning: A Survey on Problems, Methods and
  Applications

Forecasting Future Instance Segmentation with Learned Optical Flow and
  Warping

Deep scene-scale material estimation from multi-view indoor captures

On the rate of convergence of Bregman proximal methods in constrained
  variational inequalities

Persian Emotion Detection using ParsBERT and Imbalanced Data Handling

FedTune: A Deep Dive into Efficient Federated Fine-Tuning with
  Pre-trained Transformers

NAR-Former: Neural Architecture Representation Learning towards Holistic
  Attributes Prediction

Universal Time-Uniform Trajectory Approximation for Random Dynamical
  Systems with Recurrent Neural Networks

Bayesian Federated Neural Matching that Completes Full Information

MORA: Improving Ensemble Robustness Evaluation with Model-Reweighing
  Attack

Uncertainty-aware Gait Recognition via Learning from Dirichlet
  Distribution-based Evidence

Auto-outlier Fusion Technique for Chest X-ray classification with
  Multi-head Attention Mechanism

Machine-learning based prediction of small molecule -- surface
  interaction potentials

DIGEST: Deeply supervIsed knowledGE tranSfer neTwork learning for brain
  tumor segmentation with incomplete multi-modal MRI scans

Blind Performance Prediction for Deep Learning Based Ultra-Massive MIMO
  Channel Estimation

Evaluating the Faithfulness of Saliency-based Explanations for Deep
  Learning Models for Temporal Colour Constancy

Deep Instance Segmentation and Visual Servoing to Play Jenga with a
  Cost-Effective Robotic System

Adaptive Multi-Neighborhood Attention based Transformer for Graph
  Representation Learning

Coordination for Connected and Automated Vehicles at Non-signalized
  Intersections: A Value Decomposition-based Multiagent Deep Reinforcement
  Learning Approach

Adaptive PromptNet For Auxiliary Glioma Diagnosis without
  Contrast-Enhanced MRI

The Lean Data Scientist: Recent Advances towards Overcoming the Data
  Bottleneck

HGV4Risk: Hierarchical Global View-guided Sequence Representation
  Learning for Risk Prediction

An Overview on Controllable Text Generation via Variational
  Auto-Encoders

Show Me the Instruments: Musical Instrument Retrieval from Mixture Audio

Breakpoint Transformers for Modeling and Tracking Intermediate Beliefs

An Automatic ICD Coding Network Using Partition-Based Label Attention

Automatic Evaluation of Excavator Operators using Learned Reward
  Functions

Deep Reinforcement Learning for Combined Coverage and Resource
  Allocation in UAV-aided RAN-slicing

An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural
  Policy Gradient Methods

Using Open-Ended Stressor Responses to Predict Depressive Symptoms
  across Demographics

False: False Negative Samples Aware Contrastive Learning for Semantic
  Segmentation of High-Resolution Remote Sensing Image

Selective Memory Recursive Least Squares: Uniformly Allocated
  Approximation Capabilities of RBF Neural Networks in Real-Time Learning

MMD-B-Fair: Learning Fair Representations with Statistical Testing

Identification and Auto-debiased Machine Learning for Outcome
  Conditioned Average Structural Derivatives

CaDM: Codec-aware Diffusion Modeling for Neural-enhanced Video Streaming

Federated Learning for Healthcare Domain -- Pipeline, Applications and
  Challenges

Pretraining ECG Data with Adversarial Masking Improves Model
  Generalizability for Data-Scarce Tasks

Explainable Action Advising for Multi-Agent Reinforcement Learning

ET-AL: Entropy-Targeted Active Learning for Bias Mitigation in Materials
  Data

Brain Tumor Sequence Registration with Non-iterative Coarse-to-fine
  Networks and Dual Deep Supervision

Machine Learning Methods Applied to Cortico-Cortical Evoked Potentials
  Aid in Localizing Seizure Onset Zones

Music Similarity Calculation of Individual Instrumental Sounds Using
  Metric Learning

Enabling AI Quality Control via Feature Hierarchical Edge Inference

Relationship of the language distance to English ability of a country

Variational Quantum Algorithms for Chemical Simulation and Drug
  Discovery

Learning to Correct Mistakes: Backjumping in Long-Horizon Task and

Neighborhood Convolutional Network: A New Paradigm of Graph Neural
  Networks for Node Classification

Characterizing the Spectrum of the NTK via a Power Series Expansion

Evaluating How Fine-tuning on Bimodal Data Effects Code Generation

How the form of weighted networks impacts quantum reservoir computation

The Ball is in Our Court: Conducting Visualization Research with Sports
  Experts

Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain
  MRI with Structured Variational Priors

AgileAvatar: Stylized 3D Avatar Creation via Cascaded Domain Bridging

Extending the Neural Additive Model for Survival Analysis with EHR Data

Hierarchical Inference of the Lensing Convergence from Photometric
  Catalogs with Bayesian Graph Neural Networks

Estimating Discontinuous Time-Varying Risk Factors and Treatment
  Benefits for COVID-19 with Interpretable ML

Diffusion Models for Medical Image Analysis: A Comprehensive Survey

Energy Storage Price Arbitrage via Opportunity Value Function Prediction

On Unsupervised Uncertainty-Driven Speech Pseudo-Label Filtering and
  Model Calibration

Extreme Generative Image Compression by Learning Text Embedding from
  Diffusion Models

Interpreting Bias in the Neural Networks: A Peek Into Representational
  Similarity

Improving Children's Speech Recognition by Fine-tuning Self-supervised
  Adult Speech Representations

Meta-Learning of Neural State-Space Models Using Data From Similar
  Systems

Renewing Iterative Self-labeling Domain Adaptation with Application to
  the Spine Motion Prediction

Generative Aspect-Based Sentiment Analysis with Contrastive Learning and
  Expressive Structure

Describing emotions with acoustic property prompts for speech emotion
  recognition

Aligning Learners' Expectations and Performance by Learning Analytics
  Systemwith a Predictive Model

Logical Tasks for Measuring Extrapolation and Rule Comprehension

An online algorithm for contrastive Principal Component Analysis

The Birds Need Attention Too: Analysing usage of Self Attention in
  identifying bird calls in soundscapes

(When) Are Contrastive Explanations of Reinforcement Learning Helpful?

Do Neural Networks Trained with Topological Features Learn Different
  Internal Representations?

Is my automatic audio captioning system so bad? spider-max: a metric to
  consider several caption candidates

Supervised Fine-tuning Evaluation for Long-term Visual Place Recognition

Self-training of Machine Learning Models for Liver Histopathology:
  Generalization under Clinical Shifts

Uncovering the Portability Limitation of Deep Learning-Based Wireless
  Device Fingerprints

On the Global Convergence of Fitted Q-Iteration with Two-layer Neural
  Network Parametrization

Legged Locomotion in Challenging Terrains using Egocentric Vision

EVA: Exploring the Limits of Masked Visual Representation Learning at
  Scale

Learnable Spatio-Temporal Map Embeddings for Deep Inertial Localization

Follow the Wisdom of the Crowd: Effective Text Generation via Minimum
  Bayes Risk Decoding

Functional Split of In-Network Deep Learning for 6G: A Feasibility Study

Language Agnostic Code-Mixing Data Augmentation by Predicting Linguistic
  Patterns

Alternating minimization algorithm with initialization analysis for
  r-local and k-sparse unlabeled sensing

Federated Learning for Autoencoder-based Condition Monitoring in the
  Industrial Internet of Things

Towards Data-Driven Offline Simulations for Online Reinforcement
  Learning

PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain
  Adaptative Semantic Segmentation

The SNAD Viewer: Everything You Want to Know about Your Favorite ZTF
  Object

Interactively Learning to Summarise Timelines by Reinforcement Learning

Imagination is All You Need! Curved Contrastive Learning for Abstract
  Sequence Modeling Utilized on Long Short-Term Dialogue Planning

Stain-invariant self supervised learning for histopathology image
  analysis

Row Conditional-TGAN for generating synthetic relational databases

Advancing the State-of-the-Art for ECG Analysis through Structured State
  Space Models

Classical shadow tomography for continuous variables quantum systems

Tides Need STEMMED: A Locally Operating Spatio-Temporal Mutually
  Exciting Point Process with Dynamic Network for Improving Opioid Overdose
  Death Prediction

Millimeter Wave Drones with Cameras: Computer Vision Aided Wireless Beam

Self-distillation with Online Diffusion on Batch Manifolds Improves Deep

Machine Learning Performance Analysis to Predict Stroke Based on
  Imbalanced Medical Dataset

Camera Aided Reconfigurable Intelligent Surfaces: Computer Vision Based
  Fast Beam Selection

Robust Real-Time Tracking of Axis-Symmetric Magnets via Neural Networks

Channel Estimation with Reduced Phase Allocations in RIS-Aided Systems

Phenotype Detection in Real World Data via Online MixEHR Algorithm

Aspects of scaling and scalability for flow-based sampling of lattice
  QCD

A Survey on Preserving Fairness Guarantees in Changing Environments

Wikigender: A Machine Learning Model to Detect Gender Bias in Wikipedia

Heterogeneous Graph Sparsification for Efficient Representation Learning

High-Accuracy Machine Learning Techniques for Functional Connectome
  Fingerprinting and Cognitive State Decoding

On Analyzing the Role of Image for Visual-enhanced Relation Extraction

Discovering a Variety of Objects in Spatio-Temporal Human-Object
  Interactions

AdaptKeyBERT: An Attention-Based approach towards Few-Shot & Zero-Shot
  Domain Adaptation of KeyBERT

The Potential of Neural Speech Synthesis-based Data Augmentation for
  Personalized Speech Enhancement

Piecewise Planar Hulls for Semi-Supervised Learning of 3D Shape and Pose
  from 2D Images

Merger identification through photometric bands, colours and their
  errors

Butterfly Effect Attack: Tiny and Seemingly Unrelated Perturbations for
  Object Detection

Explainer Divergence Scores (EDS): Some Post-Hoc Explanations May be
  Effective for Detecting Unknown Spurious Correlations

Cracking Double-Blind Review: Authorship Attribution with Deep Learning

Reinforcement Learning Based Resource Allocation for Network Slices in
  O-RAN Midhaul

Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in
  Scientific Computing

AsyncNeRF: Learning Large-scale Radiance Fields from Asynchronous RGB-D
  Sequences with Time-Pose Function

LGN-Net: Local-Global Normality Network for Video Anomaly Detection

Additive Covariance Matrix Models: Modelling Regional Electricity
  Net-Demand in Great Britain

AI4Food-NutritionDB: Food Image Database, Nutrition Taxonomy, and
  Recognition Benchmark

Parallel Automatic History Matching Algorithm Using Reinforcement
  Learning

Machine learning for the prediction of voter model opinions through
  complex network structures

Modeling MRSA decolonization: Interactions between body sites and the
  impact of site-specific clearance

Multi-center anatomical segmentation with heterogeneous labels via
  landmark-based models

Composed Image Retrieval with Text Feedback via Multi-grained
  Uncertainty Regularization

Follow the Clairvoyant: an Imitation Learning Approach to Optimal
  Control

Unsupervised Method for Intra-patient Registration of Brain Magnetic
  Resonance Images based on Objective Function Weighting by Inverse
  Consistency: Contribution to the BraTS-Reg Challenge

Language models are good pathologists: using attention-based sequence
  reduction and text-pretrained transformers for efficient WSI classification

Multi-Label Training for Text-Independent Speaker Identification

A deep learning framework to generate realistic population and mobility
  data

User Perception and Actions Through Risk Analysis Concerning Cookies

Feature Correlation-guided Knowledge Transfer for Federated
  Self-supervised Learning

Optimal Pricing Schemes in the Presence of Social Learning and Costly
  Reporting

Machine learning approaches for parameter reweighting in Monte-Carlo
  samples of top quark production in CMS

Finding Skill Neurons in Pre-trained Transformer-based Language Models

Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach
  for Speech Emotion Recognition

MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference,
  Temporal, Causal, and Subevent Relation Extraction

Federated Learning for Appearance-based Gaze Estimation in the Wild

Privacy and Security in Network Controlled Systems via Dynamic Masking

Higher degree sum-of-squares relaxations robust against oblivious
  outliers

MT4SSL: Boosting Self-Supervised Speech Representation Learning by
  Integrating Multiple Targets

Bayesian Layer Graph Convolutioanl Network for Hyperspetral Image

MedleyVox: An Evaluation Dataset for Multiple Singing Voices Separation

Fast Text-Conditional Discrete Denoising on Vector-Quantized Latent
  Spaces

Learning to Model Multimodal Semantic Alignment for Story Visualization

CurvPnP: Plug-and-play Blind Image Restoration with Deep Curvature
  Denoiser

Optimizing Stimulus Energy for Cochlear Implants with a Machine Learning
  Model of the Auditory Nerve

Zero-shot Image Captioning by Anchor-augmented Vision-Language Space
  Alignment

The Best Path Algorithm automatic variables selection via High
  Dimensional Graphical Models

Partial counterfactual identification and uplift modeling: theoretical
  results and real-world assessment

The Role of Local Alignment and Uniformity in Image-Text Contrastive
  Learning on Medical Images

Exploiting Device and Audio Data to Tag Music with User-Aware Listening
  Contexts

Contrastive learning for regression in multi-site brain age prediction

FedCL: Federated Multi-Phase Curriculum Learning to Synchronously
  Correlate User Heterogeneity

Assessing Performance and Fairness Metrics in Face Recognition -
  Bootstrap Methods

Federated Learning Framework in Fogbus2-based Edge Computing
  Environments

Scalable Model Selection for Staged Trees: Mean-posterior Clustering and
  Binary Trees

SA-DPSGD: Differentially Private Stochastic Gradient Descent based on
  Simulated Annealing

TriDoNet: A Triple Domain Model-driven Network for CT Metal Artifact
  Reduction

Using Machine Learning Hamiltonians To Compute Molecular Motor Barrier
  Heights

Unsupervised Galaxy Morphological Visual Representation with Deep
  Contrastive Learning

Optimal Privacy Preserving in Wireless Federated Learning System over
  Mobile Edge Computing

Evade the Trap of Mediocrity: Promoting Diversity and Novelty in Text
  Generation via Concentrating Attention

FedTracker: Furnishing Ownership Verification and Traceability for
  Federated Learning Model

Towards Generalization on Real Domain for Single Image Dehazing via
  Meta-Learning

Joint Data Deepening-and-Prefetching for Energy-Efficient Edge Learning

WSC-Trans: A 3D network model for automatic multi-structural
  segmentation of temporal bone CT

Automated Detection, Categorisation and Developers' Experience with the
  Violations of Honesty in Mobile Apps

Noncanonical Domain Wall as a Unified Model of Dark Energy and Dark
  Matter: I. Cosmic Dynamics

Watermarking in Secure Federated Learning: A Verification Framework
  Based on Client-Side Backdooring

The $\ell_p$-Subspace Sketch Problem in Small Dimensions with
  Applications to Support Vector Machines

YM2413-MDB: A Multi-Instrumental FM Video Game Music Dataset with
  Emotion Annotations

Edge-MultiAI: Multi-Tenancy of Latency-Sensitive Deep Learning
  Applications on Edge

Summarisation of Electronic Health Records with Clinical Concept
  Guidance

Global Performance Guarantees for Neural Network Models of AC Power Flow

ContextCLIP: Contextual Alignment of Image-Text pairs on CLIP visual
  representations

Information-guided pixel augmentation for pixel-wise contrastive
  learning

Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval

Recursive Cross-View: Use Only 2D Detectors to Achieve 3D Object
  Detection without 3D Annotations

Bayesian Reconstruction and Differential Testing of Excised mRNA

Knowledge Base Completion using Web-Based Question Answering and
  Multimodal Fusion

Deep learning methods for automatic classification of medical images and
  disease detection based on chest X-Ray images

Alternating Implicit Projected SGD and Its Efficient Variants for
  Equality-constrained Bilevel Optimization

Easy Guided Decoding in Providing Suggestions for Interactive Machine
  Translation

Offline Estimation of Controlled Markov Chains: Minimax Nonparametric
  Estimators and Sample Efficiency

Hand gesture recognition using 802.11ad mmWave sensor in the mobile
  device

Recognition of Cardiac MRI Orientation via Deep Neural Networks and a
  Method to Improve Prediction Accuracy

An Interpretable Neuron Embedding for Static Knowledge Distillation

Designing Efficient Pair-Trading Strategies Using Cointegration for the
  Indian Stock Market

Retrieval-Augmented Generative Question Answering for Event Argument
  Extraction

Evaluating Distribution System Reliability with Hyperstructures Graph
  Convolutional Nets

Dealing with missing data using attention and latent space
  regularization

Treatment-RSPN: Recurrent Sum-Product Networks for Sequential Treatment
  Regimes

Language Model Classifier Aligns Better with Physician Word Sensitivity
  than XGBoost on Readmission Prediction

SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for
  Self-Supervised Learning in Earth Observation

Benefits, Challenges, and Research Topics: A Multi-vocal Literature
  Review of Kubernetes

Similarity-based Feature Extraction for Large-scale Sparse Traffic

Learning Visualization Policies of Augmented Reality for Human-Robot
  Collaboration

Advancing Learned Video Compression with In-loop Frame Prediction

Online Correlation Clustering for Dynamic Complete Signed Graphs

Adaptive Learning-Based Detection for One-Bit Quantized Massive MIMO
  Systems

Autovocoder: Fast Waveform Generation from a Learned Speech
  Representation using Differentiable Digital Signal Processing

FullPack: Full Vector Utilization for Sub-Byte Quantized Inference on
  General Purpose CPUs

Experimental study of Neural ODE training with adaptive solver for
  dynamical systems modeling

Identifying Coordination in a Cognitive Radar Network -- A
  Multi-Objective Inverse Reinforcement Learning Approach

Learning Stable Graph Neural Networks via Spectral Regularization

Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked
  Modeling for Vision Decoding

ECE496Y Final Report: Edge Machine Learning for Detecting Freezing of
  Gait in Parkinson's Patients

Elliptically-Contoured Tensor-variate Distributions with Application to
  Improved Image Learning

Challenges in Close-Proximity Safe and Seamless Operation of Manned and
  Unmanned Aircraft in Shared Airspace

PaintNet: 3D Learning of Pose Paths Generators for Robotic Spray
  Painting

Goal-Conditioned Reinforcement Learning in the Presence of an Adversary

Demystify Self-Attention in Vision Transformers from a Semantic
  Perspective: Analysis and Application

Early Diagnosis of Chronic Obstructive Pulmonary Disease from Chest
  X-Rays using Transfer Learning and Fusion Strategies

A Tale of Two Graphs: Freezing and Denoising Graph Structures for
  Multimodal Recommendation

Towards Privacy-Aware Causal Structure Learning in Federated Setting

Towards a Dynamic Composability Approach for using Heterogeneous Systems
  in Remote Sensing

Secure and Privacy-Preserving Automated End-to-End Integrated
  IoT-Edge-Artificial Intelligence-Blockchain Monitoring System for Diabetes
  Mellitus Prediction

Digital Twin-Assisted Collaborative Transcoding for Better User
  Satisfaction in Live Streaming

HigeNet: A Highly Efficient Modeling for Long Sequence Time Series
  Prediction in AIOps

Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An
  Overview

Discovering Long-period Exoplanets using Deep Learning with Citizen
  Science Labels

Learning from partially labeled data for multi-organ and tumor
  segmentation

OverFlow: Putting flows on top of neural transducers for better TTS

Residual Degradation Learning Unfolding Framework with Mixing Priors
  across Spectral and Spatial for Compressive Spectral Imaging

Multi-Agent Deep Reinforcement Learning for Efficient Passenger Delivery
  in Urban Air Mobility

NREM and REM: cognitive and energetic effects in thalamo-cortical
  sleeping and awake spiking model

Generalizing distribution of partial rewards for multi-armed bandits
  with temporally-partitioned rewards

Mining Unseen Classes via Regional Objectness: A Simple Baseline for
  Incremental Segmentation

Social Welfare Maximization for Collaborative Edge Computing: A Deep
  Reinforcement Learning-Based Approach

Layerwise Sparsifying Training and Sequential Learning Strategy for
  Neural Architecture Adaptation

Generalization Beyond Feature Alignment: Concept Activation-Guided

Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud
  Learning

FPT: Improving Prompt Tuning Efficiency via Progressive Training

Out-of-Dynamics Imitation Learning from Multimodal Demonstrations

Normative Modeling via Conditional Variational Autoencoder and
  Adversarial Learning to Identify Brain Dysfunction in Alzheimer's Disease

Scale-Aware Crowd Counting Using a Joint Likelihood Density Map and
  Synthetic Fusion Pyramid Network

Methods for Recovering Conditional Independence Graphs: A Survey

Deep Learning-enabled Virtual Histological Staining of Biological
  Samples

Energy-Based Residual Latent Transport for Unsupervised Point Cloud
  Completion

Pit-Pattern Classification of Colorectal Cancer Polyps Using a Hyper
  Sensitive Vision-Based Tactile Sensor and Dilated Residual Networks

FedRule: Federated Rule Recommendation System with Graph Neural Networks

CS-Shapley: Class-wise Shapley Values for Data Valuation in

SMR: Satisfied Machine Ratio Modeling for Machine Recognition-Oriented
  Image and Video Compression

Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph
  Counting on Fully Dynamic Graph Streams

Drug-target affinity prediction method based on consistent expression of
  heterogeneous data

Adversarial and Random Transformations for Robust Domain Adaptation and

Reduced order modeling of parametrized systems through autoencoders and
  SINDy approach: continuation of periodic solutions

EdnaML: A Declarative API and Framework for Reproducible Deep Learning

Inv-SENnet: Invariant Self Expression Network for clustering under
  biased data

Searching for Barium Stars from the LAMOST Spectra Using the Machine
  Learning Method: I

The Study of Complex Human Locomotion Behaviors: From Crawling to
  Walking

Improving Deep Facial Phenotyping for Ultra-rare Disorder Verification
  Using Model Ensembles

Integrating Transformer and Autoencoder Techniques with Spectral Graph
  Algorithms for the Prediction of Scarcely Labeled Molecular Data

DriftRec: Adapting diffusion models to blind image restoration tasks

Structural constrained virtual histology staining for human coronary
  imaging using deep learning

Towards reliable calcification detection: calibration of uncertainty in
  coronary optical coherence tomography images

MultiCrossViT: Multimodal Vision Transformer for Schizophrenia
  Prediction using Structural MRI and Functional Network Connectivity Data

Using Features at Multiple Temporal and Spatial Resolutions to Predict
  Human Behavior in Real Time

Auto Lead Extraction and Digitization of ECG Paper Records using cGAN

Bipartite Graph Reasoning GANs for Person Pose and Facial Image
  Synthesis

A Pipeline for Business Intelligence and Data-Driven Root Cause Analysis
  on Categorical Data

PriMask: Cascadable and Collusion-Resilient Data Masking for Mobile
  Cloud Inference

Structure-Preserving 3D Garment Modeling with Neural Sewing Machines

An algebraic approach to spike-time neural codes in the hippocampus

Partial Visual-Semantic Embedding: Fashion Intelligence System with
  Sensitive Part-by-Part Learning

Large-scale Contrastive Language-Audio Pretraining with Feature Fusion
  and Keyword-to-Caption Augmentation

Online Anomalous Subtrajectory Detection on Road Networks with Deep
  Reinforcement Learning

A Generalized Doubly Robust Learning Framework for Debiasing Post-Click
  Conversion Rate Prediction

Learning-based Sustainable Multi-User Computation Offloading for Mobile
  Edge-Quantum Computing

AltCLIP: Altering the Language Encoder in CLIP for Extended Language
  Capabilities

Learning dynamical systems: an example from open quantum system dynamics

A Survey on Explainable Reinforcement Learning: Concepts, Algorithms,

Unsupervised Anomaly Appraisal of Cleft Faces Using a StyleGAN2-based
  Model Adaptation Technique

Learning Neuro-symbolic Programs for Language Guided Robot Manipulation

DATa: Domain Adaptation-Aided Deep Table Detection Using Visual-Lexical

Efficient Speech Quality Assessment using Self-supervised Framewise
  Embeddings

Kinematics Transformer: Solving The Inverse Modeling Problem of Soft
  Robots using Transformers

Prediction of Geometric Transformation on Cardiac MRI via Convolutional
  Neural Network

Modular Clinical Decision Support Networks (MoDN) -- Updatable,
  Interpretable, and Portable Predictions for Evolving Clinical Environments

MARLIN: Masked Autoencoder for facial video Representation LearnINg

CACTO: Continuous Actor-Critic with Trajectory Optimization -- Towards
  global optimality

A Radiogenomics Pipeline for Lung Nodules Segmentation and Prediction of
  EGFR Mutation Status from CT Scans

Empirical Risk Minimization with Generalized Relative Entropy
  Regularization

Divide and Contrast: Source-free Domain Adaptation via Adaptive

Motif-topology improved Spiking Neural Network for the Cocktail Party
  Effect and McGurk Effect

Significant Ties Graph Neural Networks for Continuous-Time Temporal
  Networks Modeling

Variational Augmentation for Enhancing Historical Document Image
  Binarization

Affinity Feature Strengthening for Accurate, Complete and Robust Vessel
  Segmentation

End-to-End Machine Learning Framework for Facial AU Detection in
  Intensive Care Units

RISE: Robust Individualized Decision Learning with Sensitive Variables

Pareto-Optimal Learning-Augmented Algorithms for Online k-Search
  Problems

Innovative Drug-like Molecule Generation from Flow-based Generative
  Model

MSLKANet: A Multi-Scale Large Kernel Attention Network for Scene Text
  Removal

Improving the Robustness of DistilHuBERT to Unseen Noisy Conditions via
  Data Augmentation, Curriculum Learning, and Multi-Task Enhancement

ThreshNet: Segmentation Refinement Inspired by Region-Specific
  Thresholding

Collecting Interactive Multi-modal Datasets for Grounded Language
  Understanding

TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data

Computationally Light Spectrally Normalized Memory Neuron Network based
  Estimator for GPS-Denied operation of Micro UAV

Low Pass Filtering and Bandwidth Extension for Robust Anti-spoofing
  Countermeasure Against Codec Variabilities

Self-Supervised Graph Structure Refinement for Graph Neural Networks

Dark patterns in e-commerce: a dataset and its baseline evaluations

Improving the Efficiency of the PC Algorithm by Using Model-Based
  Conditional Independence Tests

A unified one-shot prosody and speaker conversion system with
  self-supervised discrete speech units

Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning

Rewards Encoding Environment Dynamics Improves Preference-based

Data-driven optimization for Air Traffic Flow Management with trajectory
  preferences

Quantum Split Neural Network Learning using Cross-Channel Pooling

Deep Learning Generates Synthetic Cancer Histology for Explainability
  and Education

Bandits for Online Calibration: An Application to Content Moderation on
  Social Media Platforms

Stackelberg Meta-Learning Based Control for Guided Cooperative LQG
  Systems

SPADE4: Sparsity and Delay Embedding based Forecasting of Epidemics

On the robustness of non-intrusive speech quality model by adversarial
  examples

WindowSHAP: An Efficient Framework for Explaining Time-series
  Classifiers based on Shapley Values

Spectral evolution and invariance in linear-width neural networks

A Non-Volatile All-Spin Non-Binary Matrix Multiplier: An Efficient
  Hardware Accelerator for Machine Learning

Design of Unmanned Air Vehicles Using Transformer Surrogate Models

Augmenting Transformer-Transducer Based Speaker Change Detection With
  Token-Level Training Loss

Exploring Sequence-to-Sequence Transformer-Transducer Models for Keyword
  Spotting

More Generalized and Personalized Unsupervised Representation Learning
  In A Distributed System

Understanding and eliminating spurious modes in variational Monte Carlo
  using collective variables

NeuroCERIL: Robotic Imitation Learning via Hierarchical Cause-Effect
  Reasoning in Programmable Attractor Neural Networks

Cross-Platform and Cross-Domain Abusive Language Detection with
  Supervised Contrastive Learning

Data Quality Over Quantity: Pitfalls and Guidelines for Process
  Analytics

Re-Analyze Gauss: Bounds for Private Matrix Approximation via Dyson
  Brownian Motion

RFFNet: Scalable and interpretable kernel methods via Random Fourier
  Features

Accounting for Temporal Variability in Functional Magnetic Resonance
  Imaging Improves Prediction of Intelligence

Control Transformer: Robot Navigation in Unknown Environments through
  PRM-Guided Return-Conditioned Sequence Modeling

StereoISP: Rethinking Image Signal Processing for Dual Camera Systems

Prior-mean-assisted Bayesian optimization application on FRIB Front-End
  tunning

Using machine learning to compress the matter transfer function $T(k)$

Õptimal Differentially Private Learning of Thresholds and
  Quasi-Concave Optimization

DistGNN-MB: Distributed Large-Scale Graph Neural Network Training on x86
  via Minibatch Sampling

A Multimodal Embedding-Based Approach to Industry Classification in
  Financial Markets

Global and Local Analysis of Interestingness for Competency-Aware Deep

Controlling Commercial Cooling Systems Using Reinforcement Learning

Physics-Constrained Deep Learning of Incompressible Cavity Flows

Adaptive Programmable Networks for In Materia Neuromorphic Computing

Intent-aware Multi-source Contrastive Alignment for Tag-enhanced
  Recommendation

Situating Recommender Systems in Practice: Towards Inductive Learning
  and Incremental Updates

Rethinking Log Odds: Linear Probability Modelling and Expert Advice in
  Interpretable Machine Learning

The Far Side of Failure: Investigating the Impact of Speech Recognition
  Errors on Subsequent Dementia Classification

Emergency action termination for immediate reaction in hierarchical
  reinforcement learning

Striving for data-model efficiency: Identifying data externalities on
  group performance

Non-parametric Clustering of Multivariate Populations with Arbitrary
  Sizes

Graph-Conditioned MLP for High-Dimensional Tabular Biomedical Data

A New Graph Node Classification Benchmark: Learning Structure from
  Histology Cell Graphs

Explainability in Practice: Estimating Electrification Rates from Mobile
  Phone Data in Senegal

Age Prediction Performance Varies Across Deep, Superficial, and
  Cerebellar White Matter Connections

FinBERT-LSTM: Deep Learning based stock price prediction using News
  Sentiment Analysis

Towards Improved Learning in Gaussian Processes: The Best of Two Worlds

Deep-Learning-Empowered Inverse Design for Freeform Reconfigurable
  Metasurfaces

Re-visiting Reservoir Computing architectures optimized by Evolutionary
  Algorithms

Disentangled Uncertainty and Out of Distribution Detection in Medical
  Generative Models

Joint Deep Learning for Improved Myocardial Scar Detection from Cardiac
  MRI

Machine learning based joint polarization and phase compensation for
  CV-QKD

A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic

A monitoring framework for deployed machine learning models with supply
  chain examples

Multitask Learning for Improved Late Mechanical Activation Detection of
  Heart from Cine DENSE MRI

Efficient Deep Reinforcement Learning with Predictive Processing
  Proximal Policy Optimization

Comparison of Uncertainty Quantification with Deep Learning in Time
  Series Regression

From Competition to Collaboration: Making Toy Datasets on Kaggle
  Clinically Useful for Chest X-Ray Diagnosis Using Federated Learning

StrokeGAN+: Few-Shot Semi-Supervised Chinese Font Generation with Stroke
  Encoding

A convergence study of SGD-type methods for stochastic optimization

An introduction to computational complexity and statistical learning
  theory applied to nuclear models

Investigating Enhancements to Contrastive Predictive Coding for Human
  Activity Recognition

MaskedSpeech: Context-aware Speech Synthesis with Masking Strategy

Spatial Temporal Graph Convolution with Graph Structure Self-learning
  for Early MCI Detection

Continuous Emotional Intensity Controllable Speech Synthesis using
  Semi-supervised Learning

REVEL Framework to measure Local Linear Explanations for black-box
  models: Deep Learning Image Classification case of study

Efficient HLA imputation from sequential SNPs data by Transformer

Combining Multi-Fidelity Modelling and Asynchronous Batch Bayesian
  Optimization

FAN-Trans: Online Knowledge Distillation for Facial Action Unit
  Detection

Understanding Approximation for Bayesian Inference in Neural Networks

Practical Approaches for Fair Learning with Multitype and Multivariate
  Sensitive Attributes

Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-agent
  Deep Reinforcement Learning Approach

Active Task Randomization: Learning Visuomotor Skills for Sequential
  Manipulation by Proposing Feasible and Novel Tasks

Weighing votes in human-machine collaboration for hazard recognition:
  Inferring hazard perceptual threshold and decision confidence from
  electroencephalogram wavelets

Physically Consistent Neural ODEs for Learning Multi-Physics Systems

English Contrastive Learning Can Learn Universal Cross-lingual Sentence

Treatment classification of posterior capsular opacification (PCO) using
  automated ground truths

Towards automating Numerical Consistency Checks in Financial Reports

RaLiBEV: Radar and LiDAR BEV Fusion Learning for Anchor Box Free Object
  Detection System

Identifying, measuring, and mitigating individual unfairness for
  supervised learning models and application to credit risk models

A Generative Approach for Production-Aware Industrial Network Traffic
  Modeling

Intrinsically-Motivated Goal-Conditioned Reinforcement Learning in
  Multi-Agent Environments

Overparameterized random feature regression with nearly orthogonal data

Helping the Weak Makes You Strong: Simple Multi-Task Learning Improves
  Non-Autoregressive Translators

Neural Network Approaches for Data Estimation in Unique Word OFDM
  Systems

Reconstruction of gene regulatory network via sparse optimization

Integrated Convolutional and Recurrent Neural Networks for Health Risk
  Prediction using Patient Journey Data with Many Missing Values

An Adapter based Multi-label Pre-training for Speech Separation and
  Enhancement

Does Deep Learning REALLY Outperform Non-deep Machine Learning for
  Clinical Prediction on Physiological Time Series?

GET-DIPP: Graph-Embedded Transformer for Differentiable Integrated
  Prediction and Planning

Progressive Motion Context Refine Network for Efficient Video Frame
  Interpolation

Soft-Landing Strategy for Alleviating the Task Discrepancy Problem in
  Temporal Action Localization Tasks

MDFlow: Unsupervised Optical Flow Learning by Reliable Mutual Knowledge

Gradient Imitation Reinforcement Learning for General Low-Resource
  Information Extraction

What's the Situation with Intelligent Mesh Generation: A Survey and
  Perspectives

LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR
  Semantic Segmentation

Delay Embedded Echo-State Network: A Predictor for Partially Observed
  Systems

CCPrompt: Counterfactual Contrastive Prompt-Tuning for Many-Class

Hardness-guided domain adaptation to recognise biomedical named entities
  under low-resource scenarios

Semi-supervised Variational Autoencoder for Regression: Application on
  Soft Sensors

Codebook-Based Solutions for Reconfigurable Intelligent Surfaces and
  Their Open Challenges

Palm Vein Recognition via Multi-task Loss Function and Attention Layer

Thompson Sampling for High-Dimensional Sparse Linear Contextual Bandits

JSRNN: Joint Sampling and Reconstruction Neural Networks for High
  Quality Image Compressed Sensing

Feature-aggregated spatiotemporal spine surface estimation for wearable
  patch ultrasound volumetric imaging

Efficient Domain Coverage for Vehicles with Second Order Dynamics via
  Multi-Agent Reinforcement Learning

Efficient Integration of Multi-Order Dynamics and Internal Dynamics in
  Stock Movement Prediction

CR-LSO: Convex Neural Architecture Optimization in the Latent Space of
  Graph Variational Autoencoder with Input Convex Neural Networks

Deep Reinforcement Learning Microgrid Optimization Strategy Considering
  Priority Flexible Demand Side

A Gait Triaging Toolkit for Overlapping Acoustic Events in Indoor

Deep equilibrium models as estimators for continuous latent variables

Knowledge Distillation from Cross Teaching Teachers for Efficient
  Semi-Supervised Abdominal Organ Segmentation in CT

Artificial neural networks for predicting the viscosity of
  lead-containing glasses

When Less is More: On the Value of "Co-training" for Semi-Supervised
  Software Defect Predictors

Accelerating Irregular Applications via Efficient Synchronization and
  Data Access Techniques

4DVarNet-SSH: end-to-end learning of variational interpolation schemes
  for nadir and wide-swath satellite altimetry

Blockchain-Assisted Intelligent Symbiotic Radio in Space-Air-Ground
  Integrated Networks

Understanding ME? Multimodal Evaluation for Fine-grained Visual
  Commonsense

Robust Data-Driven Predictive Control of Unknown Nonlinear Systems using
  Reachability Analysis

MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a
  Study on Thyroid Cancer Diagnosis

Robust N-1 secure HV Grid Flexibility Estimation for TSO-DSO coordinated
  Congestion Management with Deep Reinforcement Learning

Test-time adversarial detection and robustness for localizing humans
  using ultra wide band channel impulse responses

Climate Policy Tracker: Pipeline for automated analysis of public
  climate policies

New Interpretable Patterns and Discriminative Features from Brain
  Functional Network Connectivity Using Dictionary Learning

Contrastive Learning for Climate Model Bias Correction and
  Super-Resolution

Strong Lensing Parameter Estimation on Ground-Based Imaging Data Using
  Simulation-Based Inference

A quantum neural network with efficient optimization and
  interpretability

InternImage: Exploring Large-Scale Vision Foundation Models with
  Deformable Convolutions

Heterogeneous Randomized Response for Differential Privacy in Graph
  Neural Networks

Efficient brain age prediction from 3D MRI volumes using 2D projections

Nano: Nested Human-in-the-Loop Reward Learning for Few-shot Language
  Model Control

Sketched Gaussian Model Linear Discriminant Analysis via the Randomized
  Kaczmarz Method

FedLesScan: Mitigating Stragglers in Serverless Federated Learning

NEON: Enabling Efficient Support for Nonlinear Operations in Resistive
  RAM-based Neural Network Accelerators

A Randomised Subspace Gauss-Newton Method for Nonlinear Least-Squares

MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal
  Open-domain Conversation

Privacy-Preserving Machine Learning for Collaborative Data Sharing via
  Auto-encoder Latent Space Embeddings

Simulations with machine learning potentials identify the ion conduction
  mechanism mediating non-Arrhenius behavior in LGPS

Probabilistic thermal stability prediction through sparsity promoting
  transformer representation

Bayesian hierarchical modelling for battery lifetime early prediction

Robust Model Selection of Non Tree-Structured Gaussian Graphical Models

Does the explanation satisfy your needs?: A unified view of properties
  of explanations

Warmup and Transfer Knowledge-Based Federated Learning Approach for IoT
  Continuous Authentication

A Benchmarking Dataset with 2440 Organic Molecules for Volume
  Distribution at Steady State

DisentQA: Disentangling Parametric and Contextual Knowledge with
  Counterfactual Question Answering

Regression as Classification: Influence of Task Formulation on Neural
  Network Features

Generalized Wardrop Equilibrium for Charging Station Selection and Route
  Choice of Electric Vehicles in Joint Power Distribution and Transportation
  Networks

Multiparameter estimation of continuous-time Quantum Walk Hamiltonians
  through Machine Learning

Improving the Robustness of Neural Multiplication Units with Reversible
  Stochasticity

SETGen: Scalable and Efficient Template Generation Framework for
  Groupwise Medical Image Registration

Debiasing Methods for Fairer Neural Models in Vision and Language
  Research: A Survey

Adjustment formulas for learning causal steady-state models from
  closed-loop operational data

Power Grid Congestion Management via Topology Optimization with
  AlphaZero

Online Stochastic Variational Gaussian Process Mapping for Large-Scale
  SLAM in Real Time

Towards efficient and generic entanglement detection by machine learning

A Practical Introduction to Side-Channel Extraction of Deep Neural
  Network Parameters

Computer Vision on X-ray Data in Industrial Production and Security
  Applications: A survey

Self-supervised learning with bi-label masked speech prediction for
  streaming multi-talker speech recognition

Finite basis physics-informed neural networks as a Schwarz domain
  decomposition method

Assistive Completion of Agrammatic Aphasic Sentences: A Transfer
  Learning Approach using Neurolinguistics-based Synthetic Dataset

Generating astronomical spectra from photometry with conditional
  diffusion models

Optimizing Server-side Aggregation For Robust Federated Learning via
  Subspace Training

Vis2Mus: Exploring Multimodal Representation Mapping for Controllable
  Music Generation

SWTF: Sparse Weighted Temporal Fusion for Drone-Based Activity

Cherry Hypothesis: Identifying the Cherry on the Cake for Dynamic
  Networks

Massive MIMO Channel Measurement Data Set for Localization and
  Communication

MGiaD: Multigrid in all dimensions. Efficiency and robustness by
  coarsening in resolution and channel dimensions

Impact of Adversarial Training on Robustness and Generalizability of
  Language Models

Unravelling the Performance of Physics-informed Graph Neural Networks
  for Dynamical Systems

MoNET: Tackle State Momentum via Noise-Enhanced Training for Dialogue
  State Tracking

Reinforcement Learning in an Adaptable Chess Environment for Detecting
  Human-understandable Concepts

DisPositioNet: Disentangled Pose and Identity in Semantic Image
  Manipulation

Adaptive Real Time Exploration and Optimization for Safety-Critical
  Systems

Reconstruction and analysis of negatively buoyant jets with
  interpretable machine learning

ClassPruning: Speed Up Image Restoration Networks by Dynamic N:M Pruning

HSGNet: Object Re-identification with Hierarchical Similarity Graph
  Network

Unsupervised Deep Learning-based clustering for Human Activity

Syntax-Guided Domain Adaptation for Aspect-based Sentiment Analysis

Review of Methods for Handling Class-Imbalanced in Classification
  Problems

Benchmark for Models Predicting Human Behavior in Gap Acceptance
  Scenarios

Towards Human-Centred Explainability Benchmarks For Text Classification

Associated production of Higgs and single top at the LHC in presence of
  the SMEFT operators

Privacy-Utility Balanced Voice De-Identification Using Adversarial
  Examples

Self-supervised learning of audio representations using angular
  contrastive loss

Semantic Learning and Emulation Based Cross-platform Binary
  Vulnerability Seeker

Reliable Extraction of Semantic Information and Rate of Innovation
  Estimation for Graph Signals

A classification performance evaluation measure considering data
  separability

Improving Uncertainty-based Out-of-Distribution Detection for Medical
  Image Segmentation

flowMC: Normalizing-flow enhanced sampling package for probabilistic
  inference in Jax

Desire Backpropagation: A Lightweight Training Algorithm for Multi-Layer
  Spiking Neural Networks based on Spike-Timing-Dependent Plasticity

Radiomics-enhanced Deep Multi-task Learning for Outcome Prediction in
  Head and Neck Cancer

Learning Visual Representation of Underwater Acoustic Imagery Using
  Transformer-Based Style Transfer Method

GANStrument: Adversarial Instrument Sound Synthesis with Pitch-invariant
  Instance Conditioning

A Comprehensive Survey on Distributed Training of Graph Neural Networks

Efficient Unsupervised Video Object Segmentation Network Based on Motion
  Guidance

3D-CSL: self-supervised 3D context similarity learning for
  Near-Duplicate Video Retrieval

Biomedical Multi-hop Question Answering Using Knowledge Graph Embeddings
  and Language Models

Mitigating Forgetting in Online Continual Learning via Contrasting
  Semantically Distinct Augmentations

Secure Aggregation Is Not All You Need: Mitigating Privacy Attacks with
  Noise Tolerance in Federated Learning

Scalable Modular Synthetic Data Generation for Advancing Aerial Autonomy

Fairness and bias correction in machine learning for depression
  prediction: results from four different study populations

Driver Maneuver Detection and Analysis using Time Series Segmentation
  and Classification

When is Realizability Sufficient for Off-Policy Reinforcement Learning?

Cancer-Net BCa: Breast Cancer Pathologic Complete Response Prediction
  using Volumetric Deep Radiomic Features from Synthetic Correlated Diffusion
  Imaging

Contrastive Self-Supervised Learning for Skeleton Representations

Coordinating CAV Swarms at Intersections with a Deep Learning Model

Learning Cross-view Geo-localization Embeddings via Dynamic Weighted
  Decorrelation Regularization

Harmonizing Output Imbalance for semantic segmentation on
  extremely-imbalanced input data

Deep Learning Methods for Software Requirement Classification: A
  Performance Study on the PURE dataset

PhotoFourier: A Photonic Joint Transform Correlator-Based Neural Network
  Accelerator

Average-Case Complexity of Tensor Decomposition for Low-Degree
  Polynomials

BERT-Based Combination of Convolutional and Recurrent Neural Network for
  Indonesian Sentiment Analysis

GAPartNet: Cross-Category Domain-Generalizable Object Perception and
  Manipulation via Generalizable and Actionable Parts

A novel GAN-based paradigm for weakly supervised brain tumor
  segmentation of MR images

Detecting Elevated Air Pollution Levels by Monitoring Web Search
  Queries: Deep Learning-Based Time Series Forecasting

Stabilizing Machine Learning Prediction of Dynamics: Noise and
  Noise-inspired Regularization

Integrating machine learning concepts into undergraduate classes

QuerySnout: Automating the Discovery of Attribute Inference Attacks
  against Query-Based Systems

Vision-based navigation and obstacle avoidance via deep reinforcement
  learning

Reproducibility in medical image radiomic studies: contribution of
  dynamic histogram binning

Training self-supervised peptide sequence models on artificially chopped
  proteins

RecD: Deduplication for End-to-End Deep Learning Recommendation Model
  Training Infrastructure

ViSE: Vision-Based 3D Real-Time Shape Estimation of Continuously
  Deformable Robots

Using Physics Informed Neural Networks for Supernova Radiative Transfer
  Simulation

QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional
  Networks

Mapping the Ictal-Interictal-Injury Continuum Using Interpretable
  Machine Learning

HilMeMe: A Human-in-the-Loop Machine Translation Evaluation Metric
  Looking into Multi-Word Expressions

Training a Vision Transformer from scratch in less than 24 hours with 1
  GPU

Are All Edges Necessary? A Unified Framework for Graph Purification

An Empirical Study on Clustering Pretrained Embeddings: Is Deep Strictly
  Better?

Modeling Motivational Interviewing Strategies On An Online Peer-to-Peer
  Counseling Platform

Efficient Zero-shot Event Extraction with Context-Definition Alignment

Extracting, Visualizing, and Learning from Dynamic Data: Perfusion in
  Surgical Video for Tissue Characterization

QCNN: Quadrature Convolutional Neural Network with Application to
  Unstructured Data Compression

Climbing four tops with graph networks, transformers and pairwise
  features

Physics Beyond the Standard Model with Future X-ray Observatories:
  Projected Constraints on Very-Light Axion-Like Particles with $Athena$ and
  $AXIS$

A Note on Task-Aware Loss via Reweighing Prediction Loss by
  Decision-Regret

ViTALiTy: Unifying Low-rank and Sparse Approximation for Vision
  Transformer Acceleration with a Linear Taylor Attention

Safe Latent Diffusion: Mitigating Inappropriate Degeneration in

Sparse Bayesian Lasso via a Variable-Coefficient $\ell_1$ Penalty

Cross-lingual Transfer Learning for Check-worthy Claim Identification
  over Twitter

Automated Learning: An Implementation of The A* Search Algorithm over
  The Random Base Functions

Prompting Large Pre-trained Vision-Language Models For Compositional
  Concept Learning

A Diffeomorphic Flow-based Variational Framework for Multi-speaker
  Emotion Conversion

Test of Artificial Neural Networks in Likelihood-free Cosmological
  Constraints: A Comparison of IMNN and DAE

In-memory factorization of holographic perceptual representations

DC-Check: A Data-Centric AI checklist to guide the development of
  reliable machine learning systems

A Comparative Study of Data Augmentation Techniques for Deep Learning
  Based Emotion Recognition

Active Acquisition for Multimodal Temporal Data: A Challenging
  Decision-Making Task

Combining Contrastive Learning and Knowledge Graph Embeddings to develop
  medical word embeddings for the Italian language

Duality for Neural Networks through Reproducing Kernel Banach Spaces

The Best of Both Worlds: a Framework for Combining Degradation
  Prediction with High Performance Super-Resolution Networks

Almost Tight Error Bounds on Differentially Private Continual Counting

Emulating cosmological multifields with generative adversarial networks

PAT-CNN: Automatic Segmentation and Quantification of Pericardial
  Adipose Tissue from T2-Weighted Cardiac Magnetic Resonance Images

RL-DWA Omnidirectional Motion Planning for Person Following in Domestic
  Assistance and Monitoring

Piano Learning and Improvisation through Adaptive Visualisation and
  Digital Augmentation

Hyper-GST: Predict Metro Passenger Flow Incorporating GraphSAGE,
  Hypergraph, Social-meaningful Edge Weights and Temporal Exploitation

Interpretable Deep Reinforcement Learning for Green Security Games with
  Real-Time Information

Ordered ground state configurations of the asymmetric Wigner bilayer
  system -- revisited: an unsupervised clustering algorithm analysis

Perceived personality state estimation in dyadic and small group
  interaction with deep learning methods

Workload Forecasting of a Logistic Node Using Bayesian Neural Networks

Accelerating Adversarial Perturbation by 50% with Semi-backward
  Propagation

Accountable and Explainable Methods for Complex Reasoning over Text

Combinatorics of Reduced Ordered Binary Decision Diagrams: Application
  to uniform random sampling

On the Robustness of deep learning-based MRI Reconstruction to image
  transformations

miCSE: Mutual Information Contrastive Learning for Low-shot Sentence

From Distance to Dependency: A Paradigm Shift of Full-reference Image
  Quality Assessment

Optimized Global Perturbation Attacks For Brain Tumour ROI Extraction
  From Binary Classification Models

Utilising Bayesian Networks to combine multimodal data and expert
  opinion for the robust prediction of depression and its symptoms

Profiling and Improving the PyTorch Dataloader for high-latency Storage:
  A Technical Report

Disentangling Aesthetic and Technical Effects for Video Quality
  Assessment of User Generated Content

Artificial intelligence for improved fitting of trajectories of
  elementary particles in inhomogeneous dense materials immersed in a magnetic
  field

Extending Temporal Data Augmentation for Video Action Recognition

Outcome-Oriented Prescriptive Process Monitoring Based on Temporal Logic
  Patterns

Foundation Models for Semantic Novelty in Reinforcement Learning

Interactive Feature Embedding for Infrared and Visible Image Fusion

A Unified Analysis of Multi-task Functional Linear Regression Models
  with Manifold Constraint and Composite Quadratic Penalty

Trackerless freehand ultrasound with sequence modelling and auxiliary
  transformation over past and future frames

Domain-incremental Cardiac Image Segmentation with Style-oriented Replay
  and Domain-sensitive Feature Whitening

ERNIE-UniX2: A Unified Cross-lingual Cross-modal Framework for
  Understanding and Generation

EEG-based performance-driven adaptive automated hazard alerting system
  in security surveillance support

Estimation of Signal Parameters using Deep Convolutional Neural Networks

Deep W-Networks: Solving Multi-Objective Optimisation Problems With Deep

Designing Network Design Strategies Through Gradient Path Analysis

On the use of learning-based forecasting methods for ameliorating
  fashion business processes: A position paper

Physics-separating artificial neural networks for predicting initial
  stages of Al sputtering and thin film deposition in Ar plasma discharges

RadFormer: Transformers with Global-Local Attention for Interpretable
  and Accurate Gallbladder Cancer Detection

Leveraging Sequentiality in Reinforcement Learning from a Single
  Demonstration

Profiling Obese Subgroups in National Health and Nutritional Status
  Survey Data using Machine Learning Techniques: A Case Study from Brunei
  Darussalam

On the Robustness of Explanations of Deep Neural Network Models: A
  Survey

Bayesian deep learning for error estimation in the analysis of anomalous
  diffusion

ARNet: Automatic Refinement Network for Noisy Partial Label Learning

SG-Shuffle: Multi-aspect Shuffle Transformer for Scene Graph Generation

Efficient Large-scale Audio Tagging via Transformer-to-CNN Knowledge

Continual learning autoencoder training for a particle-in-cell
  simulation via streaming

Interpretable Explainability in Facial Emotion Recognition and
  Gamification for Data Collection

Resource-Aware Heterogeneous Federated Learning using Neural
  Architecture Search

Side-Informed Steganography for JPEG Images by Modeling Decompressed
  Images

Nested Named Entity Recognition from Medical Texts: An Adaptive Shared
  Network Architecture with Attentive CRF

Semi-Equivariant Continuous Normalizing Flows for Target-Aware Molecule

Enhanced Bayesian Neural Networks for Macroeconomics and Finance

Knowledge Distillation for Federated Learning: a Practical Guide

Study of nonlinear optical diffraction patterns using machine learning
  models based on ResNet 152 architecture

Framework Construction of an Adversarial Federated Transfer Learning
  Classifier

Inferring the ecology of north-Pacific albacore tuna from
  catch-and-effort data

Efficient Neural Mapping for Localisation of Unmanned Ground Vehicles

Efficient Joint Detection and Multiple Object Tracking with Spatially
  Aware Transformer

Expressive-VC: Highly Expressive Voice Conversion with Attention Fusion
  of Bottleneck and Perturbation Features

Adaptive Multi-Corpora Language Model Training for Speech Recognition

Automated MRI Field of View Prescription from Region of Interest
  Prediction by Intra-stack Attention Neural Network

NoiSER: Noise is All You Need for Enhancing Low-Light Images Without
  Task-Related Data

Unsupervised Extractive Summarization with Heterogeneous Graph
  Embeddings for Chinese Document

Robust Point Cloud Registration Framework Based on Deep Graph
  Matching(TPAMI Version)

Deep Explainable Learning with Graph Based Data Assessing and Rule
  Reasoning

A Solution for a Fundamental Problem of 3D Inference based on 2D

Deep Learning based Computer Vision Methods for Complex Traffic
  Environments Perception: A Review

Few-Shot Character Understanding in Movies as an Assessment to
  Meta-Learning of Theory-of-Mind

Combination of multiple neural networks using transfer learning and
  extensive geometric data augmentation for assessing cellularity scores in
  histopathology images

Gaussian Process Learning-Based Model Predictive Control for Safe
  Interactions of a Platoon of Autonomous and Human-Driven Vehicles

Challenges and Barriers of Using Low Code Software for Machine Learning

Extragradient with Positive Momentum is Optimal for Games with
  Cross-Shaped Jacobian Spectrum

SUPRA: Superpixel Guided Loss for Improved Multi-modal Segmentation in
  Endoscopy

A Method to Judge the Style of Classical Poetry Based on Pre-trained
  Model

Variants of SGD for Lipschitz Continuous Loss Functions in Low-Precision

Gold-standard of HER2 breast cancer biopsies using supervised learning
  based on multiple pathologist annotations

LiCo-Net: Linearized Convolution Network for Hardware-efficient Keyword
  Spotting

Maximum likelihood recursive state estimation in state-space models: A
  new approach based on statistical analysis of incomplete data

MP-SeizNet: A Multi-Path CNN Bi-LSTM Network for Seizure-Type
  Classification Using EEG

Conformal Frequency Estimation with Sketched Data under Relaxed
  Exchangeability

First principles physics-informed neural network for quantum
  wavefunctions and eigenvalue surfaces

StructDiffusion: Object-Centric Diffusion for Semantic Rearrangement of
  Novel Objects

System Safety Engineering for Social and Ethical ML Risks: A Case Study

Reducing Down(stream)time: Pretraining Molecular GNNs using
  Heterogeneous AI Accelerators

Contour Extraction of Inertial Confinement Fusion Images By Data

Contexts can be Cheap: Solving Stochastic Contextual Bandits with Linear
  Bandit Algorithms

Finite Sample Identification of Wide Shallow Neural Networks with Biases

Classification of Colorectal Cancer Polyps via Transfer Learning and
  Vision-Based Tactile Sensing

Towards Algorithmic Fairness in Space-Time: Filling in Black Holes

Toward a Neural Semantic Parsing System for EHR Question Answering

A physics-aware deep learning model for energy localization in
  multiscale shock-to-detonation simulations of heterogeneous energetic
  materials

Estimation of Appearance and Occupancy Information in Birds Eye View
  from Surround Monocular Images

Detecting and Accommodating Novel Types and Concepts in an Embodied
  Simulation Environment

OutlierDetection.jl: A modular outlier detection ecosystem for the Julia
  programming language

Physics-informed inference of aerial animal movements from weather radar
  data

ARMOR: A Model-based Framework for Improving Arbitrary Baseline Policies
  with Offline Data

Creating a Safety Assurance Case for an ML Satellite-Based Wildfire
  Detection and Alert System

Deep IMU Bias Inference for Robust Visual-Inertial Odometry with Factor
  Graphs

Care for the Mind Amid Chronic Diseases: An Interpretable AI Approach
  Using IoT

All rf-based tuning algorithm for quantum devices using machine learning

Amortized Bayesian Inference for Supernovae in the Era of the Vera Rubin
  Observatory Using Normalizing Flows

Discover, Explanation, Improvement: Automatic Slice Detection Framework
  for Natural Language Processing

A new BART prior for flexible modeling with categorical predictors

SLATE: A Sequence Labeling Approach for Task Extraction from Free-form
  Inked Content

Variational Quantum Kernels with Task-Specific Quantum Metric Learning

A study on the ephemeral nature of knowledge shared within multiagent
  systems

Individualized and Global Feature Attributions for Gradient Boosted
  Trees in the Presence of $\ell_2$ Regularization

MicroISP: Processing 32MP Photos on Mobile Devices with Deep Learning

Expressing linear equality constraints in feedforward neural networks

Normalization Perturbation: A Simple Domain Generalization Method for
  Real-World Domain Shifts

Reduced Order Probabilistic Emulation for Physics-Based Thermosphere
  Models

PyNet-V2 Mobile: Efficient On-Device Photo Processing With Neural
  Networks

A machine learning approach to drawing phase diagrams of topological
  lasing modes

Estimating Treatment Effects using Neurosymbolic Program Synthesis

Much Easier Said Than Done: Falsifying the Causal Relevance of Linear
  Decoding Methods

Strong-Lensing Source Reconstruction with Denoising Diffusion
  Restoration Models

Infant hip screening using multi-class ultrasound scan segmentation

Crumbling Crystals: On the Dissolution Mechanism of NaCl in Water

Adaptive Semantic Communications: Overfitting the Source and Channel for
  Profit

Resolution enhancement of one-dimensional molecular wavefunctions in
  plane-wave basis via quantum machine learning

Multi-Stage Based Feature Fusion of Multi-Modal Data for Human Activity

Geometric Constellation Shaping for Fiber-Optic Channels via End-to-End
  Learning

Development, manufacturing and testing of small launcher structures from
  Portugal

Detection is truncation: studying source populations with truncated
  marginal neural ratio estimation

Efficient Compressed Ratio Estimation using Online Sequential Learning
  for Edge Computing

SocioProbe: What, When, and Where Language Models Learn about
  Sociodemographics

Machine Learning-based Framework for Optimally Solving the Analytical
  Inverse Kinematics for Redundant Manipulators

Spoofing Attack Detection in the Physical Layer with Commutative Neural
  Networks

TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative
  Filtering

PhotoRedshift-MML: a multimodal machine learning method for estimating
  photometric redshifts of quasars

Two-stream Multi-dimensional Convolutional Network for Real-time
  Violence Detection

Improving Graph Neural Networks at Scale: Combining Approximate PageRank
  and CoreRank

Single-anchor UWB Localization using Channel Impulse Response
  Distributions

HDRfeat: A Feature-Rich Network for High Dynamic Range Image
  Reconstruction

Learning Spatio-Temporal Model of Disease Progression with NeuralODEs
  from Longitudinal Volumetric Data

Nimbus: Toward Speed Up Function Signature Recovery via Input Resizing
  and Multi-Task Learning

Active Relation Discovery: Towards General and Label-aware Open Relation

Generative Adversarial Networks for anonymous Acneic face dataset
  generation

RRSR:Reciprocal Reference-based Image Super-Resolution with Progressive
  Feature Alignment and Selection

Nondestructive thermographic detection of internal defects using
  pixel-pattern based laser excitation and photothermal super resolution
  reconstruction

Submission-Aware Reviewer Profiling for Reviewer Recommender System

DepthFormer: Multimodal Positional Encodings and Cross-Input Attention
  for Transformer-Based Segmentation Networks

Exploiting segmentation labels and representation learning to forecast
  therapy response of PDAC patients

The Hypervolume Indicator Hessian Matrix: Analytical Expression,
  Computational Time Complexity, and Sparsity

Pushing the limits of self-supervised speaker verification using
  regularized distillation framework

Spiking sampling network for image sparse representation and dynamic
  vision sensor data compression

Theoretical analysis and experimental validation of volume bias of soft
  Dice optimized segmentation maps in the context of inherent uncertainty

Teaching Blockchain in K9-12: Instruction materials and their assessment

A Neural Network Subgrid Model of the Early Stages of Planet Formation

Clustering of countries based on the associated social contact patterns
  in epidemiological modelling

Inferring Class Label Distribution of Training Data from Classifiers: An
  Accuracy-Augmented Meta-Classifier Attack

The Technological Emergence of AutoML: A Survey of Performant Software
  and Applications in the Context of Industry

Stochastic Coded Federated Learning: Theoretical Analysis and Incentive
  Mechanism Design

Efficacy of MRI data harmonization in the age of machine learning. A
  multicenter study across 36 datasets

Unsupervised vocal dereverberation with diffusion-based generative
  models

ConsPrompt: Easily Exploiting Contrastive Samples for Few-shot Prompt
  Learning

Cross-view Graph Contrastive Representation Learning on Partially
  Aligned Multi-view Data

Selective compression learning of latent representations for
  variable-rate image compression

GENIUS: A Novel Solution for Subteam Replacement with Clustering-based
  Graph Neural Network

A Penalty Based Method for Communication-Efficient Decentralized Bilevel
  Programming

COPEN: Probing Conceptual Knowledge in Pre-trained Language Models

Linear Self-Attention Approximation via Trainable Feedforward Kernel

DNN Filter for Bias Reduction in Distribution-to-Distribution Scan
  Matching

Many Destinations, Many Pathways: A Quantitative Analysis of Legitimate
  Peripheral Participation in Scratch

ParticleNeRF: A Particle-Based Encoding for Online Neural Radiance
  Fields in Dynamic Scenes

Fine-grained Population Mapping from Coarse Census Counts and Open
  Geodata

Generating counterfactual explanations of tumor spatial proteomes to
  discover effective, combinatorial therapies that enhance cancer immunotherapy

An Incremental Phase Mapping Approach for X-ray Diffraction Patterns
  using Binary Peak Representations

ABC: Adversarial Behavioral Cloning for Offline Mode-Seeking Imitation
  Learning

SimOn: A Simple Framework for Online Temporal Action Localization

Progress and summary of reinforcement learning on energy management of
  MPS-EV

Time-Varying Correlation Networks for Interpretable Change Point
  Detection

Causal Discovery in Linear Latent Variable Models Subject to Measurement
  Error

Quantization-Based Optimization: Alternative Stochastic Approximation of
  Global Optimization

On the Algorithmic Stability and Generalization of Adaptive Optimization
  Methods

Parameter and Data Efficient Continual Pre-training for Robustness to
  Dialectal Variance in Arabic

Alleviating Sparsity of Open Knowledge Graphs with Ternary Contrastive
  Learning

Non-Sequential Decentralized Stochastic Control Revisited: Static
  Reducibility and Causality

Understanding the Role of Mixup in Knowledge Distillation: An Empirical
  Study

The Interpolated MVU Mechanism For Communication-efficient Private
  Federated Learning

$T$-depth-optimized Quantum Search with Quantum Data-access Machine

From fat droplets to floating forests: cross-domain transfer learning
  using a PatchGAN-based segmentation model

Policy-Based Reinforcement Learning for Assortative Matching in Human
  Behavior Modeling

Robust Manifold Nonnegative Tucker Factorization for Tensor Data
  Representation

A Hypergraph-Based Machine Learning Ensemble Network Intrusion Detection
  System

Enhanced Low-resolution LiDAR-Camera Calibration Via Depth Interpolation
  and Supervised Contrastive Learning

Comparative layer-wise analysis of self-supervised speech models

AutoML-based Almond Yield Prediction and Projection in California

Proactive Detractor Detection Framework Based on Message-Wise Sentiment
  Analysis Over Customer Support Interactions

ShaSTA: Modeling Shape and Spatio-Temporal Affinities for 3D
  Multi-Object Tracking

Policy evaluation from a single path: Multi-step methods, mixing and
  mis-specification

Lessons Learned: Surveying the Practicality of Differential Privacy in
  the Industry

Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable
  Categories

Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022
  challenge: Report

Power Efficient Video Super-Resolution on Mobile NPUs with Deep
  Learning, Mobile AI & AIM 2022 challenge: Report

Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI &
  AIM 2022 Challenge: Report

Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI &

NSNet: A General Neural Probabilistic Framework for Satisfiability
  Problems

EEG-Fest: Few-shot based Attention Network for Driver's Vigilance
  Estimation with EEG Signals

CoNMix for Source-free Single and Multi-target Domain Adaptation

Automatic Change-Point Detection in Time Series via Deep Learning

Exploration of Convolutional Neural Network Architectures for Large
  Region Map Automation

Polite Teacher: Semi-Supervised Instance Segmentation with Mutual
  Learning and Pseudo-Label Thresholding

FED-CD: Federated Causal Discovery from Interventional and Observational
  Data

Lower Bounds for the Convergence of Tensor Power Iteration on Random
  Overcomplete Models

Posterior samples of source galaxies in strong gravitational lenses with
  score-based priors

ToDD: Topological Compound Fingerprinting in Computer-Aided Drug
  Discovery

Quantum-probabilistic Hamiltonian learning for generative modelling &
  anomaly detection

Astronomia ex machina: a history, primer, and outlook on neural networks
  in astronomy

Objective dyspnea evaluation on COVID-19 patients learning from
  exertion-induced dyspnea scores

Novel Muscle Monitoring by Radiomyography(RMG) and Application to Hand
  Gesture Recognition

Easily Accessible Text-to-Image Generation Amplifies Demographic
  Stereotypes at Large Scale

Discrete Distribution Estimation under User-level Local Differential
  Privacy

Monte Carlo Techniques for Addressing Large Errors and Missing Data in
  Simulation-based Inference

Multi-Task Learning Framework for Extracting Emotion Cause Span and
  Entailment in Conversations

AskewSGD : An Annealed interval-constrained Optimisation method to train
  Quantized Neural Networks

Approximating Reachable Sets for Neural Network based Models in
  Real-Time via Optimal Control

DPCSpell: A Transformer-based Detector-Purificator-Corrector Framework
  for Spelling Error Correction of Bangla and Resource Scarce Indic Languages

Machine Learning for Metaverse-enabled Wireless Systems: Vision,
  Requirements, and Challenges

Learning For Predictive Control: A Dual Gaussian Process Approach

A Transfer Learning Approach for UAV Path Design with Connectivity
  Outage Constraint

Learning Feature Descriptors for Pre- and Intra-operative Point Cloud
  Matching for Laparoscopic Liver Registration

Body Part-Based Representation Learning for Occluded Person
  Re-Identification

Metricizing the Euclidean Space towards Desired Distance Relations in
  Point Clouds

LOCAL: Low-Complex Mapping Algorithm for Spatial DNN Accelerators

Application of Graph Neural Networks and graph descriptors for graph
  classification

Machine learning based uncertainty quantification of turbulence model
  for airfoils

Generalizable Re-Identification from Videos with Cycle Association

Investigating Fairness Disparities in Peer Review: A Language Model
  Enhanced Approach

Towards learning to explain with concept bottleneck models: mitigating
  information leakage

Contrastive Classification and Representation Learning with
  Probabilistic Interpretation

On Pricing of Discrete Asian and Lookback Options under the Heston Model

Interpreting deep learning output for out-of-distribution detection

Learning Causal Representations of Single Cells via Sparse Mechanism
  Shift Modeling

Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier
  Transform

Decentralized Complete Dictionary Learning via $\ell^{4}$-Norm
  Maximization

Machine Learning-Aided Operations and Communications of Unmanned Aerial
  Vehicles: A Contemporary Survey

A Deep Double Ritz Method (D$^2$RM) for solving Partial Differential
  Equations using Neural Networks

Camera Alignment and Weighted Contrastive Learning for Domain Adaptation
  in Video Person ReID

Learning Semantic Textual Similarity via Topic-informed Discrete Latent
  Variables

MAISON -- Multimodal AI-based Sensor platform for Older Individuals

A survey of machine learning wall models for large eddy simulation

Towards a mathematical understanding of learning from few examples with
  nonlinear feature maps

Retention Time Prediction for Chromatographic Enantioseparation by
  Quantile Geometry-enhanced Graph Neural Network

Generalized Product-of-Experts for Learning Multimodal Representations
  in Noisy Environments

Highly over-parameterized classifiers generalize since bad solutions are
  rare

Can neural networks extrapolate? Discussion of a theorem by Pedro
  Domingos

Spatiotemporal forecasting of track geometry irregularities with
  exogenous factors

ERNIE-SAT: Speech and Text Joint Pretraining for Cross-Lingual
  Multi-Speaker Text-to-Speech

Adaptive User-Centered Multimodal Interaction towards Reliable and
  Trusted Automotive Interfaces

Knowledge Graph Embedding: A Survey from the Perspective of
  Representation Spaces

A Multi-task Model for Sentiment Aided Stance Detection of Climate
  Change Tweets

Adaptive Contrastive Learning on Multimodal Transformer for Review
  Helpfulness Predictions

C3PO: Learning to Achieve Arbitrary Goals via Massively Entropic
  Pretraining

End-to-End Evaluation of a Spoken Dialogue System for Learning Basic
  Mathematics

Physics-Constrained Backdoor Attacks on Power System Fault Localization

Black-Box Attack against GAN-Generated Image Detector with Contrastive
  Perturbation

Neural Architectural Nonlinear Pre-Processing for mmWave Radar-based
  Human Gesture Perception

Structure and solidification of the (Fe0.75B0.15Si0.1)100-xTax (x=0-2)
  melts: experiment and machine learning

How Much Does Attention Actually Attend? Questioning the Importance of
  Attention in Pretrained Transformers

A Targeted Sampling Strategy for Compressive Cryo Focused Ion Beam
  Scanning Electron Microscopy

Exploiting Transformer-based Multitask Learning for the Detection of
  Media Bias in News Articles

Resilience of Wireless Ad Hoc Federated Learning against Model Poisoning
  Attacks

Can we accurately calculate viscosity in multicomponent metallic melts?

Learning Probabilistic Temporal Safety Properties from Examples in
  Relational Domains

Closing the Gap between Client and Global Model Performance in
  Heterogeneous Federated Learning

How to Coordinate Edge Devices for Over-the-Air Federated Learning?

Automatic Creativity Measurement in Scratch Programs Across Modalities

Complete Cross-triplet Loss in Label Space for Audio-visual Cross-modal
  Retrieval

Human-Machine Collaboration Approaches to Build a Dialogue Dataset for
  Hate Speech Countering

A Federated DRL Approach for Smart Micro-Grid Energy Control with
  Distributed Energy Resources

Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness
  to Model Misspecification

Spectral identification and classification of dusty stellar sources
  using spectroscopic and multiwavelength observations through machine learning

Bayesian Disturbance Injection: Robust Imitation Learning of Flexible
  Policies for Robot Manipulation

Debiasing Graph Transfer Learning via Item Semantic Clustering for
  Cross-Domain Recommendations

Temporal superimposed crossover module for effective continuous sign
  language

BuildMapper: A Fully Learnable Framework for Vectorized Building Contour

Medical Diffusion -- Denoising Diffusion Probabilistic Models for 3D
  Medical Image Generation

Generalization of generative model for neuronal ensemble inference
  method

Contrastive Learning with Prompt-derived Virtual Semantic Prototypes for
  Unsupervised Sentence Embedding

A Semiparametric Efficient Approach To Label Shift Estimation and
  Quantification

Cross-Domain Local Characteristic Enhanced Deepfake Video Detection

Cluster consistency: Simple yet effect robust learning algorithm on
  large-scale photoplethysmography for atrial fibrillation detection in the
  presence of real-world label noise

Accented Text-to-Speech Synthesis with a Conditional Variational
  Autoencoder

CLOP: Video-and-Language Pre-Training with Knowledge Regularizations

DeepFlow: A Cross-Stack Pathfinding Framework for Distributed AI Systems

HFedMS: Heterogeneous Federated Learning with Memorable Data Semantics
  in Industrial Metaverse

Learning Task Requirements and Agent Capabilities for Multi-agent Task
  Allocation

The Dark Side of The Internet of Vehicles: A Survey of the State of IoV
  and its Security Vulnerabilities

Performance and utility trade-off in interpretable sleep staging

A Context-Aware Computational Approach for Measuring Vocal Entrainment
  in Dyadic Conversations

Reconciliation of Pre-trained Models and Prototypical Neural Networks in
  Few-shot Named Entity Recognition

Machine-learning approach for discovery of conventional superconductors

AfroLM: A Self-Active Learning-based Multilingual Pretrained Language
  Model for 23 African Languages

Technical Report on Web-based Visual Corpus Construction for Visual
  Document Understanding

Spatio-temporal Incentives Optimization for Ride-hailing Services with
  Offline Deep Reinforcement Learning

Fitting a Collider in a Quantum Computer: Tackling the Challenges of
  Quantum Machine Learning for Big Datasets

Exponentially Improving the Complexity of Simulating the
  Weisfeiler-Lehman Test with Graph Neural Networks

A new method using machine learning to integrate ECG and gated SPECT MPI
  for Cardiac Resynchronization Therapy Decision Support on behalf of the
  VISION-CRT

SE(3)-equivariant Graph Neural Networks for Learning Glassy Liquids

Cementron: Machine Learning the Constituent Phases in Cement Clinker
  from Optical Images

B-SMART: A Reference Architecture for Artificially Intelligent Autonomic
  Smart Buildings

Unlearning Nonlinear Graph Classifiers in the Limited Training Data
  Regime

Two-Qutrit entanglement: 56-years old algorithm challenges machine
  learning

Towards real-time 6D pose estimation of objects in single-view cone-beam
  X-ray

Recent Developments in Structure-Based Virtual Screening Approaches

"Seeing Sound": Audio Classification with the Wigner-Wille Distribution
  and Convolutional Neural Networks

KGTN-ens: Few-Shot Image Classification with Knowledge Graph Ensembles

Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations
  in Hamiltonian Formulation

Evaluating Digital Tools for Sustainable Agriculture using Causal
  Inference

Applying Association Rules Mining to Investigate Pedestrian Fatal and
  Injury Crash Patterns Under Different Lighting Conditions

Momentum-based Weight Interpolation of Strong Zero-Shot Models for
  Continual Learning

Understanding the properties and limitations of contrastive learning for
  Out-of-Distribution detection

Personalizing Sustainable Agriculture with Causal Machine Learning

Learning Riemannian Stable Dynamical Systems via Diffeomorphisms

Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion

ProtoX: Explaining a Reinforcement Learning Agent via Prototyping

4D Range Reporting in the Pointer Machine Model in Almost-Optimal Time

Examining the Differential Risk from High-level Artificial Intelligence
  and the Question of Control

On the Domain Adaptation and Generalization of Pretrained Language
  Models: A Survey

Integrating Voice-Based Machine Learning Technology into Complex Home

UATTA-ENS: Uncertainty Aware Test Time Augmented Ensemble for PIRC
  Diabetic Retinopathy Detection

MiddleGAN: Generate Domain Agnostic Samples for Unsupervised Domain

MSMG-Net: Multi-scale Multi-grained Supervised Metworks for Multi-task
  Image Manipulation Detection and Localization

Detection Of Insider Attacks In Block Chain Network Using The Trusted
  Two Way Intrusion Detection System

WeakIdent: Weak formulation for Identifying Differential Equations using
  Narrow-fit and Trimming

Confidence-Ranked Reconstruction of Census Microdata from Published
  Statistics

StuArt: Individualized Classroom Observation of Students with Automatic
  Behavior Recognition and Tracking

Going In Style: Audio Backdoors Through Stylistic Transformations

A Sequence Agnostic Multimodal Preprocessing for Clogged Blood Vessel
  Detection in Alzheimer's Diagnosis

FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial

Collaborative Video Analytics on Distributed Edges with Multiagent Deep

The effect of the processing and measurement operators on the expressive
  power of quantum models

Predicting User-specific Future Activities using LSTM-based Multi-label

On the Specialization of FDRL Agents for Scalable and Distributed 6G RAN
  Slicing Orchestration

A Framework for Designing Efficient Deep Learning-Based Genomic
  Basecallers

Prediction of superconducting properties of materials based on machine
  learning models

A Survey on Influence Maximization: From an ML-Based Combinatorial

BriFiSeg: a deep learning-based method for semantic and instance
  segmentation of nuclei in brightfield images

Enabling Deep Learning-based Physical-layer Secret Key Generation for
  FDD-OFDM Systems in Multi-Environments

Developing Decentralised Resilience to Malicious Influence in Collective
  Perception Problem

Towards Real World HDRTV Reconstruction: A Data Synthesis-based Approach

Learning Dual-Fused Modality-Aware Representations for RGBD Tracking

The Importance of Suppressing Complete Reconstruction in Autoencoders
  for Unsupervised Outlier Detection

Wall Street Tree Search: Risk-Aware Planning for Offline Reinforcement
  Learning

Multilayer Perceptron Network Discriminates Larval Zebrafish Genotype
  using Behaviour

Knowledge is Power: Understanding Causality Makes Legal judgment
  Prediction Models More Generalizable and Robust

Tuning Language Models as Training Data Generators for
  Augmentation-Enhanced Few-Shot Learning

Prompt-based Text Entailment for Low-Resource Named Entity Recognition

Preserving background sound in noise-robust voice conversion via
  multi-task learning

Efficient Traffic State Forecasting using Spatio-Temporal Network
  Dependencies: A Sparse Graph Neural Network Approach

A framework for leveraging machine learning tools to estimate
  personalized survival curves

Exposing Surveillance Detection Routes via Reinforcement Learning,
  Attack Graphs, and Cyber Terrain

Characterizing the Efficiency of Graph Neural Network Frameworks with a
  Magnifying Glass

Leveraging Haptic Feedback to Improve Data Quality and Quantity for Deep
  Imitation Learning Models

Hear The Flow: Optical Flow-Based Self-Supervised Visual Sound Source
  Localization

Learning-based Inverse Rendering of Complex Indoor Scenes with
  Differentiable Monte Carlo Raytracing

Experience Report on the Challenges and Opportunities in Securing
  Smartphones Against Zero-Click Attacks

On learning history based policies for controlling Markov decision
  processes

Generalization and Personalization of Mobile Sensing-Based Mood
  Inference Models: An Analysis of College Students in Eight Countries

Graph Reinforcement Learning Application to Co-operative Decision-Making
  in Mixed Autonomy Traffic: Framework, Survey, and Challenges

Distilling Representations from GAN Generator via Squeeze and Span

Accurate control to run and stop chemical reactions via relaxation
  oscillators

A Comprehensive Survey of Regression Based Loss Functions for Time
  Series Forecasting

A Comparison of Automatic Labelling Approaches for Sentiment Analysis

Mixture-Net: Low-Rank Deep Image Prior Inspired by Mixture Models for
  Spectral Image Recovery

Inside Out: Transforming Images of Lab-Grown Plants for Machine Learning
  Applications in Agriculture

Learning to Infer from Unlabeled Data: A Semi-supervised Learning
  Approach for Robust Natural Language Inference

Improved Kidney Stone Recognition Through Attention and Multi-View
  Feature Fusion Strategies

Can Ensemble of Classifiers Provide Better Recognition Results in
  Packaging Activity?

Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions

Breaking the trade-off in personalized speech enhancement with
  cross-task knowledge distillation

Predicting Treatment Adherence of Tuberculosis Patients at Scale

Quantization Adaptor for Bit-Level Deep Learning-Based Massive MIMO CSI
  Feedback

Learning the shape of protein micro-environments with a holographic
  convolutional neural network

Efficient Cavity Searching for Gene Network of Influenza A Virus

1-D Convolutional Graph Convolutional Networks for Fault Detection in
  Distributed Energy Systems

Toward Neural Network Simulation of Variational Quantum Algorithms

Unsupervised Machine Learning for Explainable Medicare Fraud Detection

A Synthetic Dataset for 5G UAV Attacks Based on Observable Network
  Parameters

Accurate and Reliable Methods for 5G UAV Jamming Identification With
  Calibrated Uncertainty

Cross-Subject Emotion Recognition with Sparsely-Labeled Peripheral
  Physiological Data Using SHAP-Explained Tree Ensembles

Neural multi-event forecasting on spatio-temporal point processes using
  probabilistically enriched transformers

A Filtering-based General Approach to Learning Rational Constraints of
  Epistemic Graphs

ESKNet-An enhanced adaptive selection kernel convolution for breast
  tumors segmentation

New Definitions and Evaluations for Saliency Methods: Staying Intrinsic,
  Complete and Sound

ON-DEMAND-FL: A Dynamic and Efficient Multi-Criteria Federated Learning
  Client Deployment Scheme

HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph

VISinger 2: High-Fidelity End-to-End Singing Voice Synthesis Enhanced by
  Digital Signal Processing Synthesizer

Simple Primitives with Feasibility- and Contextuality-Dependence for
  Open-World Compositional Zero-shot Learning

Pitfalls of Climate Network Construction: A Statistical Perspective

HERB: Measuring Hierarchical Regional Bias in Pre-trained Language
  Models

A Data-Driven Evolutionary Transfer Optimization for Expensive Problems
  in Dynamic Environments

Textual Manifold-based Defense Against Natural Language Adversarial
  Examples

Improved Techniques for the Conditional Generative Augmentation of
  Clinical Audio Data

Deep Learning for Rapid Landslide Detection using Synthetic Aperture
  Radar (SAR) Datacubes

Lightweight 3D Convolutional Neural Network for Schizophrenia diagnosis
  using MRI Images and Ensemble Bagging Classifier

Towards a methodology for addressing missingness in datasets, with an
  application to demographic health datasets

Rate-Distortion Optimized Post-Training Quantization for Learned Image
  Compression

Coarse-to-fine Knowledge Graph Domain Adaptation based on
  Distantly-supervised Iterative Training

Degradation Prediction of Semiconductor Lasers using Conditional
  Variational Autoencoder

A Machine Learning-based Framework for Predictive Maintenance of
  Semiconductor Laser for Optical Communication

Learning Fabric Manipulation in the Real World with Human Videos

A Survey of Deep Face Restoration: Denoise, Super-Resolution, Deblur,
  Artifact Removal

Discovering ordinary differential equations that govern time-series

One Person, One Model--Learning Compound Router for Sequential

FLock: Defending Malicious Behaviors in Federated Learning with
  Blockchain

A Robust and Low Complexity Deep Learning Model for Remote Sensing Image

EventEA: Benchmarking Entity Alignment for Event-centric Knowledge
  Graphs

PASTA: Table-Operations Aware Fact Verification via Sentence-Table Cloze

Modeling Multi-Dimensional Datasets via a Fast Scale-Free Network Model

Optimization of generator coordinate method with machine-learning
  algorithms for nuclear spectra and neutrinoless double-beta decay

Multi-Objective Evolutionary for Object Detection Mobile Architectures
  Search

Forecasting User Interests Through Topic Tag Predictions in Online
  Health Communities

Stutter-TTS: Controlled Synthesis and Improved Recognition of Stuttered
  Speech

Heterogeneity-aware Clustered Distributed Learning for Multi-source Data
  Analysis

Near-optimal multiple testing in Bayesian linear models with
  finite-sample FDR control

Detection of High Impedance Faults in Microgrids using Machine Learning

Real-Time Joint Personalized Speech Enhancement and Acoustic Echo
  Cancellation with E3Net

Quantitative Assessment of Drought Impacts Using XGBoost based on the
  Drought Impact Reporter

Clustering above Exponential Families with Tempered Exponential Measures

Bayesian learning of Causal Structure and Mechanisms with GFlowNets and
  Variational Bayes

Diversity-based Deep Reinforcement Learning Towards Multidimensional
  Difficulty for Fighting Game AI

KGLM: Integrating Knowledge Graph Structure in Language Models for Link

Discovering Closed-Loop Failures of Vision-Based Controllers via

GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior
  Modeling Generalization

Uncertainty-aware predictive modeling for fair data-driven decisions

Deep Surrogate Docking: Accelerating Automated Drug Discovery with Graph

SAMO: Speaker Attractor Multi-Center One-Class Learning for Voice
  Anti-Spoofing

Climbing Routes Clustering Using Energy-Efficient Accelerometers
  Attached to the Quickdraws

Resource-Efficient Transfer Learning From Speech Foundation Model Using
  Hierarchical Feature Fusion

A Prompt-based Few-shot Learning Approach to Software Conflict Detection

Contrastive Learning for Diverse Disentangled Foreground Generation

MalGrid: Visualization Of Binary Features In Large Malware Corpora

LightNorm: Area and Energy-Efficient Batch Normalization Hardware for
  On-Device DNN Training

Tutorial and Practice in Linear Programming: Optimization Problems in
  Supply Chain and Transport Logistics

An Adversarial Robustness Perspective on the Topology of Neural Networks

Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content
  Dilutions

A Transformer Architecture for Online Gesture Recognition of
  Mathematical Expressions

CryptoHalal: An Intelligent Decision-System for Identifying Halal and
  Haram Cryptocurrencies

Improving the Predictive Performances of $k$ Nearest Neighbors Learning
  by Efficient Variable Selection

Modeling Temporal Data as Continuous Functions with Process Diffusion

Curiosity search for non-equilibrium behaviors in a dynamically learned
  order parameter space

Material Named Entity Recognition (MNER) for Knowledge-driven Materials
  Using Deep Learning Approach

Evaluating and Improving Factuality in Multimodal Abstractive
  Summarization

Data Models for Dataset Drift Controls in Machine Learning With Images

CCATMos: Convolutional Context-aware Transformer Network for
  Non-intrusive Speech Quality Assessment

Deep reinforcement learning for flow control exploits different physics
  for increasing Reynolds-number regimes

The 'Problem' of Human Label Variation: On Ground Truth in Data,
  Modeling and Evaluation

A Comparison of SVM against Pre-trained Language Models (PLMs) for Text
  Classification Tasks

Beyond spiking networks: the computational advantages of dendritic
  amplification and input segregation

Self-Supervised Learning for Speech Enhancement through Synthesis

Generation of Chinese classical poetry based on pre-trained model

Machine Learning Challenges of Biological Factors in Insect Image Data

A Transformer-Based Substitute Recommendation Model Incorporating Weakly
  Supervised Customer Behavior Data

Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node

BERT-Deep CNN: State-of-the-Art for Sentiment Analysis of COVID-19
  Tweets

Flows for Flows: Training Normalizing Flows Between Arbitrary
  Distributions with Maximum Likelihood Estimation

Generalizability of Deep Adult Lung Segmentation Models to the Pediatric
  Population: A Retrospective Study

Connecting Stochastic Optimal Control and Reinforcement Learning

Improving Adversarial Robustness to Sensitivity and Invariance Attacks
  with Deep Metric Learning

Multi-output Gaussian processes for inverse uncertainty quantification
  in neutron noise analysis

PCQA-GRAPHPOINT: Efficients Deep-Based Graph Metric For Point Cloud

NoreSpeech: Knowledge Distillation based Conditional Diffusion Model for
  Noise-robust Expressive TTS

Lidar-level localization with radar? The CFEAR approach to accurate,
  fast and robust large-scale radar odometry in diverse environments

Robotic Assembly Control Reconfiguration Based on Transfer Reinforcement
  Learning for Objects with Different Geometric Features

Supervised learning applied to high-dimensional millimeter wave
  transient absorption data for age prediction of perovskite thin-film

Optimizing the location of the colony of foragers with Collective
  Learning

Spatially Selective Deep Non-linear Filters for Speaker Extraction

High-Resolution Boundary Detection for Medical Image Segmentation with
  Piece-Wise Two-Sample T-Test Augmented Loss

Rethinking the transfer learning for FCN based polyp segmentation in
  colonoscopy

Multilingual Name Entity Recognition and Intent Classification Employing
  Deep Learning Architectures

Rickrolling the Artist: Injecting Invisible Backdoors into Text-Guided
  Image Generation Models

Fighting the scanner effect in brain MRI segmentation with a progressive
  level-of-detail network trained on multi-site data

Analysing Diffusion-based Generative Approaches versus Discriminative
  Approaches for Speech Restoration

Conformal Quantitative Predictive Monitoring of STL Requirements for
  Stochastic Processes

Path Planning Using Wassertein Distributionally Robust Deep Q-learning

SPEAKER VGG CCT: Cross-corpus Speech Emotion Recognition with Speaker
  Embedding and Vision Transformers

Behavior Score-Embedded Brain Encoder Network for Improved
  Classification of Alzheimer Disease Using Resting State fMRI

Once-for-All Sequence Compression for Self-Supervised Speech Models

Spatial-Temporal Convolutional Attention for Mapping Functional Brain
  Networks

Fradulent User Detection Via Behavior Information Aggregation Network
  (BIAN) On Large-Scale Financial Social Network

Domain Adaptive Video Semantic Segmentation via Cross-Domain Moving
  Object Mixing

Elimination of Non-Novel Segments at Multi-Scale for Few-Shot

Dealing with Drift of Adaptation Spaces in Learning-based Self-Adaptive
  Systems using Lifelong Self-Adaptation

GARNet: Global-Aware Multi-View 3D Reconstruction Network and the
  Cost-Performance Tradeoff

Decentralized Federated Reinforcement Learning for User-Centric Dynamic
  TFDD Control

Learning to Learn Domain-invariant Parameters for Domain Generalization

Automating Vascular Shunt Insertion with the dVRK Surgical Robot

Rethinking Storage Management for Data Processing Pipelines in Cloud
  Data Centers

Unsupervised Visual Representation Learning via Mutual Information
  Regularized Assignment

A Deep Learning Approach to Generating Photospheric Vector Magnetograms
  of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data

Learning to learn: Non-equilibrium design protocols for adaptable
  materials

Impact Learning: A Learning Method from Features Impact and Competition

Seismic-phase detection using multiple deep learning models for global
  and local representations of waveforms

ISA-Net: Improved spatial attention network for PET-CT tumor

Spectral Regularization: an Inductive Bias for Sequence Modeling

How Does Adaptive Optimization Impact Local Neural Network Geometry?

Music Mixing Style Transfer: A Contrastive Learning Approach to
  Disentangle Audio Effects

Unintended Memorization and Timing Attacks in Named Entity Recognition
  Models

Mixline: A Hybrid Reinforcement Learning Framework for Long-horizon
  Bimanual Coffee Stirring Task

Towards Asteroid Detection in Microlensing Surveys with Deep Learning

Materials Property Prediction with Uncertainty Quantification: A
  Benchmark Study

A Latent Space Model for HLA Compatibility Networks in Kidney
  Transplantation

Improved Adaptive Algorithm for Scalable Active Learning with Weak
  Labeler

Residual Skill Policies: Learning an Adaptable Skill-based Action Space
  for Reinforcement Learning for Robotics

Bayesian Sequential Experimental Design for a Partially Linear Model
  with a Gaussian Process Prior

Integrated Parameter-Efficient Tuning for General-Purpose Audio Models

Adversarial Defense via Neural Oscillation inspired Gradient Masking

The Benefits of Model-Based Generalization in Reinforcement Learning

Understanding and Mitigating Overfitting in Prompt Tuning for
  Vision-Language Models

Fully Bayesian inference for latent variable Gaussian process models

Numerical Methods for Distributed Stochastic Compositional Optimization
  Problems with Aggregative Structure

Learning Tool Morphology for Contact-Rich Manipulation Tasks with
  Differentiable Simulation

Miko Team: Deep Learning Approach for Legal Question Answering in ALQAC
  2022

(Machine) Learning from the COVID-19 Lockdown about Electricity Market
  Performance with a Large Share of Renewables

Learning to Rank Graph-based Application Objects on Heterogeneous
  Memories

Benchmarking Quality-Diversity Algorithms on Neuroevolution for

Deep Learning based Defect classification and detection in SEM images: A
  Mask R-CNN approach

Automatic differentiation is no panacea for phylogenetic gradient
  computation

Hardware/Software co-design with ADC-Less In-memory Computing Hardware
  for Spiking Neural Networks

A $k$-additive Choquet integral-based approach to approximate the SHAP
  values for local interpretability in machine learning

Twenty-Five Years of Advances in Beamforming: From Convex and Nonconvex
  Optimization to Learning Techniques

Decomposing Counterfactual Explanations for Consequential Decision
  Making

Robust Time Series Chain Discovery with Incremental Nearest Neighbors

No Agreement Without Loss: Learning and Social Choice in Peer Review

Improving Semi-supervised Deep Learning by using Automatic Thresholding
  to Deal with Out of Distribution Data for COVID-19 Detection using Chest
  X-ray Images

Can Querying for Bias Leak Protected Attributes? Achieving Privacy With
  Smooth Sensitivity

Logographic Information Aids Learning Better Representations for Natural
  Language Inference

Safe Real-World Autonomous Driving by Learning to Predict and Plan with
  a Mixture of Experts

A 3D-Shape Similarity-based Contrastive Approach to Molecular

Scalable Multi-Agent Reinforcement Learning through Intelligent
  Information Aggregation

DetAIL : A Tool to Automatically Detect and Analyze Drift In Language

Handwritten Arabic Character Recognition for Children Writ-ing Using
  Convolutional Neural Network and Stroke Identification

Abstract Images Have Different Levels of Retrievability Per Reverse
  Image Search Engine

Translated Skip Connections -- Expanding the Receptive Fields of Fully
  Convolutional Neural Networks

Sky-image-based solar forecasting using deep learning with
  multi-location data: training models locally, globally or via transfer
  learning?

Beyond Codebook-Based Analog Beamforming at mmWave: Compressed Sensing
  and Machine Learning Methods

Contrastive Value Learning: Implicit Models for Simple Offline RL

Overcoming Barriers to Skill Injection in Language Modeling: Case Study
  in Arithmetic

Making Machine Learning Datasets and Models FAIR for HPC: A Methodology
  and Case Study

Scaling Multimodal Pre-Training via Cross-Modality Gradient
  Harmonization

LMentry: A Language Model Benchmark of Elementary Language Tasks

A unique, ring-like radio source with quadrilateral structure detected
  with machine learning

Unbinned multivariate observables for global SMEFT analyses from machine
  learning

Efficient Spatially Sparse Inference for Conditional GANs and Diffusion
  Models

Fast and robust Bayesian Inference using Gaussian Processes with GPry

Could Giant Pretrained Image Models Extract Universal Representations?

The Projected Covariance Measure for assumption-lean variable
  significance testing

Optimal transport for a global event description at high-intensity
  hadron colliders

Oracle Inequalities for Model Selection in Offline Reinforcement
  Learning

Optimal Compression for Minimizing Classification Error Probability: an
  Information-Theoretic Approach

Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global
  Weather Forecast

Robust Dependence Measure using RKHS based Uncertainty Moments and
  Optimal Transport

Single SMPC Invocation DPHelmet: Differentially Private Distributed
  Learning on a Large Scale

Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language
  Model

Dynamic Kernels and Channel Attention with Multi-Layer Embedding
  Aggregation for Speaker Verification

Quantifying Model Uncertainty for Semantic Segmentation using Operators
  in the RKHS

Driving innovation through project based learning: A pre-university
  STEAM for Social Good initiative

lilGym: Natural Language Visual Reasoning with Reinforcement Learning

Leveraging Fully Observable Policies for Learning under Partial
  Observability

Grounding Scene Graphs on Natural Images via Visio-Lingual Message
  Passing

Machine Learning Methods for Device Identification Using Wireless
  Fingerprinting

Empirical Analysis of Model Selection for Heterogenous Causal Effect
  Estimation

Discovery of Optimal Thermometers with Spin Networks aided by
  Machine-Learning

Automatic Crater Shape Retrieval using Unsupervised and Semi-Supervised
  Systems

Theta-Resonance: A Single-Step Reinforcement Learning Method for Design
  Space Exploration

Expanding Accurate Person Recognition to New Altitudes and Ranges: The
  BRIAR Dataset

Improved Analysis of Score-based Generative Modeling: User-Friendly
  Bounds under Minimal Smoothness Assumptions

Dimensionality reduction of local structure in glassy binary mixtures

Martian Ionosphere Electron Density Prediction Using Bagged Trees

Augmenting photometric redshift estimates using spectroscopic nearest
  neighbours

Deep meta-learning for the selection of accurate ultrasound based breast
  mass classifier

Analysing the effectiveness of a generative model for semi-supervised
  medical image segmentation

Self-Adapting Noise-Contrastive Estimation for Energy-Based Models

A Survey on Evaluation Metrics for Synthetic Material Micro-Structure
  Images from Generative Models

Faster Adaptive Momentum-Based Federated Methods for Distributed
  Composition Optimization

Convex Clustering through MM: An Efficient Algorithm to Perform
  Hierarchical Clustering

M-to-N Backdoor Paradigm: A Stealthy and Fuzzy Attack to Deep Learning
  Models

Port-metriplectic neural networks: thermodynamics-informed machine
  learning of complex physical systems

ImageNet-X: Understanding Model Mistakes with Factor of Variation
  Annotations

Learning safety in model-based Reinforcement Learning using MPC and
  Gaussian Processes

Human Biophysics as Network Weights: Conditional Generative Models for
  Ultra-fast Simulation

Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum
  Minimization

LE3D: A Lightweight Ensemble Framework of Data Drift Detectors for
  Resource-Constrained Devices

HyperSound: Generating Implicit Neural Representations of Audio Signals
  with Hypernetworks

Extra-Newton: A First Approach to Noise-Adaptive Accelerated
  Second-Order Methods

Demo: LE3D: A Privacy-preserving Lightweight Data Drift Detection
  Framework

Fast Noise Removal in Hyperspectral Images via Representative
  Coefficient Total Variation

Liability regimes in the age of AI: a use-case driven analysis of the
  burden of proof

Phase Transitions in Learning and Earning under Price Protection
  Guarantee

Query-based Instance Discrimination Network for Relational Triple

Quantifying and Learning Static vs. Dynamic Information in Deep
  Spatiotemporal Networks

A Fuzzy-set-based Joint Distribution Adaptation Method for Regression
  and its Application to Online Damage Quantification for Structural Digital
  Twin

Exploring explicit coarse-grained structure in artificial neural
  networks

Estimating the Pose of a Euro Pallet with an RGB Camera based on
  Synthetic Training Data

Improving Graph-Based Text Representations with Character and Word Level
  N-grams

SGDA with shuffling: faster convergence for nonconvex-PŁ minimax
  optimization

SARAH-based Variance-reduced Algorithm for Stochastic Finite-sum
  Cocoercive Variational Inequalities

Feasible and Desirable Counterfactual Generation by Preserving Human
  Defined Constraints

Distilling Knowledge from Language Models for Video-based Action
  Anticipation

CLEEGN: A Convolutional Neural Network for Plug-and-Play Automatic EEG

A Momentum Accelerated Adaptive Cubic Regularization Method for
  Nonconvex Optimization

RING++: Roto-translation Invariant Gram for Global Localization on a
  Sparse Scan Map

Adversarial Speaker-Consistency Learning Using Untranscribed Speech Data
  for Zero-Shot Multi-Speaker Text-to-Speech

Human Joint Kinematics Diffusion-Refinement for Stochastic Motion

Boosting the Transferability of Adversarial Attacks with Reverse
  Adversarial Perturbation

Resolving the Approximability of Offline and Online Non-monotone
  DR-Submodular Maximization over General Convex Sets

The computational and learning benefits of Daleian neural networks

JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional
  Networks

Bridging the Gap Between Vision Transformers and Convolutional Neural
  Networks on Small Datasets

Towards Theoretically Inspired Neural Initialization Optimization

Identifiability and Asymptotics in Learning Homogeneous Linear ODE
  Systems from Discrete Observations

Projective Transformation Rectification for Camera-captured Chest X-ray
  Photograph Interpretation with Synthetic Data

Classification by estimating the cumulative distribution function for
  small data

ZITS++: Image Inpainting by Improving the Incremental Transformer on
  Structural Priors

Adaptive Dual Channel Convolution Hypergraph Representation Learning for
  Technological Intellectual Property

Self-Supervised Equivariant Regularization Reconciles Multiple Instance
  Learning: Joint Referable Diabetic Retinopathy Classification and Lesion

Dynamic Clustering Network for Unsupervised Semantic Segmentation

Decomposed Knowledge Distillation for Class-Incremental Semantic

Optimizing Evaluation Metrics for Multi-Task Learning via the
  Alternating Direction Method of Multipliers

Explaining Online Reinforcement Learning Decisions of Self-Adaptive
  Systems

Efficient Adversarial Training without Attacking: Worst-Case-Aware
  Robust Reinforcement Learning

A Unified Framework for Alternating Offline Model Training and Policy
  Learning

Boosting Graph Neural Networks via Adaptive Knowledge Distillation

Finite time analysis of temporal difference learning with linear
  function approximation: Tail averaging and regularisation

Enemy Spotted: in-game gun sound dataset for gunshot classification and
  localization

Hate-CLIPper: Multimodal Hateful Meme Classification based on
  Cross-modal Interaction of CLIP Features

PSNet: Parallel Symmetric Network for Video Salient Object Detection

Common Corruption Robustness of Point Cloud Detectors: Benchmark and

DG-STGCN: Dynamic Spatial-Temporal Modeling for Skeleton-based Action

Point Cloud Scene Completion with Joint Color and Semantic Estimation
  from Single RGB-D Image

Building Heterogeneous Cloud System for Machine Learning Inference

Deterioration Prediction using Time-Series of Three Vital Signs and
  Current Clinical Features Amongst COVID-19 Patients

Pathology Steered Stratification Network for Subtype Identification in
  Alzheimer's Disease

Learning by Asking Questions for Knowledge-based Novel Object

Multi-Content Time-Series Popularity Prediction with Multiple-Model
  Transformers in MEC Networks

Leveraging Off-the-shelf Diffusion Model for Multi-attribute Fashion
  Image Manipulation

LACV-Net: Semantic Segmentation of Large-Scale Point Cloud Scene via
  Local Adaptive and Comprehensive VLAD

SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric
  Models

FlowDrone: Wind Estimation and Gust Rejection on UAVs Using
  Fast-Response Hot-Wire Flow Sensors

Contrastive introspection (ConSpec) to rapidly identify invariant
  prototypes for success in RL

Cross-dataset COVID-19 Transfer Learning with Cough Detection, Cough
  Segmentation, and Data Augmentation

LiveSeg: Unsupervised Multimodal Temporal Segmentation of Long
  Livestream Videos

A composable machine-learning approach for steady-state simulations on
  high-resolution grids

CLIP also Understands Text: Prompting CLIP for Phrase Understanding

Synthetic Power Analyses: Empirical Evaluation and Application to
  Cognitive Neuroimaging

Parameter estimation of the homodyned K distribution based on neural
  networks and trainable fractional-order moments

Social-Group-Agnostic Word Embedding Debiasing via the Stereotype
  Content Model

Exploring Segmentation Approaches for Neural Machine Translation of
  Code-Switched Egyptian Arabic-English Text

Short-term prediction of stream turbidity using surrogate data and a
  meta-model approach

Data-driven construction of stochastic reduced dynamics encoded with
  non-Markovian features

Deep Counterfactual Estimation with Categorical Background Variables

MRI-based Material Mass Density and Relative Stopping Power Estimation
  via Deep Learning for Proton Therapy

Comparison of Soft and Hard Target RNN-T Distillation for Large-scale
  ASR

Transfer Learning with Joint Fine-Tuning for Multimodal Sentiment
  Analysis

Towards Discriminative and Transferable One-Stage Few-Shot Object
  Detectors

Gradient-Guided Importance Sampling for Learning Binary Energy-Based
  Models

A Multi-Agent Approach for Adaptive Finger Cooperation in Learning-based
  In-Hand Manipulation

Joint localization and classification of breast tumors on ultrasound
  images using a novel auxiliary attention-based framework

Uma proposta metodologica para a aprendizagem: reflexao sobre as
  praticas pedagogicas da Estatistica ao elaborar os instrumentos de pesquisa
  sociais

Toward Sustainable Continual Learning: Detection and Knowledge
  Repurposing of Similar Tasks

On RKHS Choices for Assessing Graph Generators via Kernel Stein

Stochastic Constrained DRO with a Complexity Independent of Sample Size

TetGAN: A Convolutional Neural Network for Tetrahedral Mesh Generation

DeepMend: Learning Occupancy Functions to Represent Shape for Repair

Measuring and Improving Semantic Diversity of Dialogue Generation

Embeddings as Epistemic States: Limitations on the Use of Pooling
  Operators for Accumulating Knowledge

Analyzing Text Representations under Tight Annotation Budgets: Measuring
  Structural Alignment

Shapley Head Pruning: Identifying and Removing Interference in
  Multilingual Transformers

Perspectives on Negative Research Results in Pervasive Computing

Dynamic Ensemble Size Adjustment for Memory Constrained Mondrian Forest

Neural Importance Sampling for Rapid and Reliable Gravitational-Wave
  Inference

CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory

Understanding or Manipulation: Rethinking Online Performance Gains of
  Modern Recommender Systems

The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data
  Regimes

Influence of chemistry and structure on interfacial segregation in
  NbMoTaW with high-throughput atomistic simulations

Oflib: Facilitating Operations with and on Optical Flow Fields in Python

SEE-Few: Seed, Expand and Entail for Few-shot Named Entity Recognition

EllipsoNet: Deep-learning-enabled optical ellipsometry for complex thin
  films

Semantic Segmentation under Adverse Conditions: A Weather and
  Nighttime-aware Synthetic Data-based Approach

Application of Deep Learning on Single-Cell RNA-sequencing Data
  Analysis: A Review

Zero-Order One-Point Estimate with Distributed Stochastic
  Gradient-Tracking Technique

Adversarial Attack Against Image-Based Localization Neural Networks

An Experimental Study on Private Aggregation of Teacher Ensemble
  Learning for End-to-End Speech Recognition

Divergence Results and Convergence of a Variance Reduced Version of ADAM

Improving Sample Efficiency of Deep Learning Models in Electricity
  Market

Geometry of Radial Basis Neural Networks for Safety Biased Approximation
  of Unsafe Regions

Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection

On Adaptivity in Non-stationary Stochastic Optimization With Bandit
  Feedback

Digital Twin-Based Multiple Access Optimization and Monitoring via
  Model-Driven Bayesian Learning

What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness?

Motion Aware Self-Supervision for Generic Event Boundary Detection

Improving Long-tailed Object Detection with Image-Level Supervision by
  Multi-Task Collaborative Learning

Global Spectral Filter Memory Network for Video Object Segmentation

Hypergraph Convolutional Networks for Weakly-Supervised Semantic

Unifying Diffusion Models' Latent Space, with Applications to
  CycleDiffusion and Guidance

OPERA: Omni-Supervised Representation Learning with Hierarchical
  Supervisions

What does a deep neural network confidently perceive? The effective
  dimension of high certainty class manifolds and their low confidence
  boundaries

Parallel solutions for preemptive makespan scheduling on two identical
  machines

An anti-confounding method for estimating optimal regime in a survival
  context using instrumental variable

Learning Inter-Superpoint Affinity for Weakly Supervised 3D Instance

A Learning-Based Estimation and Control Framework for Contact-Intensive
  Tight-Tolerance Tasks

An efficient neural-network and finite-difference hybrid method for
  elliptic interface problems with applications

Robust and Controllable Object-Centric Learning through Energy-based
  Models

DeepMLE: A Robust Deep Maximum Likelihood Estimator for Two-view
  Structure from Motion

ViFiCon: Vision and Wireless Association Via Self-Supervised Contrastive
  Learning

Detect, Distill and Update: Learned DB Systems Facing Out of
  Distribution Data

Extracting Meaningful Attention on Source Code: An Empirical Study of
  Developer and Neural Model Code Exploration

Adversarial Contrastive Learning for Evidence-aware Fake News Detection
  with Graph Neural Networks

PromptEHR: Conditional Electronic Healthcare Records Generation with
  Prompt Learning

Mastering the Game of No-Press Diplomacy via Human-Regularized
  Reinforcement Learning and Planning

Generating Approximate Ground States of Molecules Using Quantum Machine
  Learning

Like a bilingual baby: The advantage of visually grounding a bilingual
  language model

Architectural Optimization over Subgroups for Equivariant Neural
  Networks

High-precision Density Mapping of Marine Debris and Floating Plastics
  via Satellite Imagery

Large-to-small Image Resolution Asymmetry in Deep Metric Learning

Unlabelled Sample Compression Schemes for Intersection-Closed Classes
  and Extremal Classes

Towards Consistency and Complementarity: A Multiview Graph Information
  Bottleneck Approach

A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based
  Policy Learning

Disentangling Causal Effects from Sets of Interventions in the Presence
  of Unobserved Confounders

QuCNN : A Quantum Convolutional Neural Network with Entanglement Based
  Backpropagation

CIRCA: comprehensible online system in support of chest X-rays-based
  COVID-19 diagnosis

Retinex Image Enhancement Based on Sequential Decomposition With a
  Plug-and-Play Framework

COVID-19-related Nepali Tweets Classification in a Low Resource Setting

Exploring Interactions and Regulations in Collaborative Learning: An
  Interdisciplinary Multimodal Dataset

Earth as an Exoplanet: II. Earth's Time-Variable Thermal Emission and
  its Atmospheric Seasonality of Bio-Indicators

LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward

Machine Translation between Spoken Languages and Signed Languages
  Represented in SignWriting

Improving efficiency of the path optimization method for a gauge theory

Computationally-efficient initialisation of GPs: The generalised
  variogram method

TGDM: Target Guided Dynamic Mixup for Cross-Domain Few-Shot Learning

Near Real-time CO$_2$ Emissions Based on Carbon Satellite and Artificial

Stable and Efficient Adversarial Training through Local Linearization

FusionDeepMF: A Dual Embedding based Deep Fusion Model for

MAP: Modality-Agnostic Uncertainty-Aware Vision-Language Pre-training
  Model

Label Noise-Robust Learning using a Confidence-Based Sieving Strategy

Reciprocity in Directed Hypergraphs: Measures, Findings, and Generators

Synthetic Model Combination: An Instance-wise Approach to Unsupervised
  Ensemble Learning

Memory transformers for full context and high-resolution 3D Medical

Learning Control Policies for Stochastic Systems with Reach-avoid
  Guarantees

Learning Control Policies for Region Stabilization in Stochastic Systems

Evaluation of the Quality of Exercises for the Data Structures'
  eTextbook and Find the Difficult Topics Using Item Response Theory and Logged
  Data Analysis

Scenario-based Evaluation of Prediction Models for Automated Vehicles

On the Use of Semantically-Aligned Speech Representations for Spoken
  Language Understanding

Revisiting and Advancing Chinese Natural Language Understanding with
  Accelerated Heterogeneous Knowledge Pre-training

Transformers generalize differently from information stored in context
  vs in weights

Computer Vision based inspection on post-earthquake with UAV synthetic
  dataset

ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain
  Few-Shot Learning

EnsembleMOT: A Step towards Ensemble Learning of Multiple Object
  Tracking

RoHNAS: A Neural Architecture Search Framework with Conjoint
  Optimization for Adversarial Robustness and Hardware Efficiency of
  Convolutional and Capsule Networks

Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design

Component-Wise Natural Gradient Descent -- An Efficient Neural Network

MFCCA:Multi-Frame Cross-Channel attention for multi-speaker ASR in
  Multi-party meeting scenario

EOCSA: Predicting Prognosis of Epithelial Ovarian Cancer with Whole
  Slide Histopathological Images

Deep Spectro-temporal Artifacts for Detecting Synthesized Speech

Constrained Deployment Optimization in Integrated Access and Backhaul
  Networks

Graph Neural Network Policies and Imitation Learning for Multi-Domain
  Task-Oriented Dialogues

Cluster-level pseudo-labelling for source-free cross-domain facial
  expression recognition

Dataloader Parameter Tuner: An Automated Dataloader Parameter Tuner for
  Deep Learning Models

Cross-modal Search Method of Technology Video based on Adversarial
  Learning and Feature Fusion

STSC-SNN: Spatio-Temporal Synaptic Connection with Temporal Convolution
  and Attention for Spiking Neural Networks

Multi-site Diagnostic Classification Of Schizophrenia Using 3D CNN On
  Aggregated Task-based fMRI Data

It Takes Two: Masked Appearance-Motion Modeling for Self-supervised
  Video Transformer Pre-training

DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation

From Mimicking to Integrating: Knowledge Integration for Pre-Trained

Deep Learning-Aided Delay-Tolerant Zero-Forcing Precoding in Cell-Free
  Massive MIMO

Provenance of Lyfe: Chemical Autonomous Agents Surviving through
  Associative Learning

Detecting Hidden Attackers in Photovoltaic Systems Using Machine
  Learning

Semi-supervised detection of structural damage using Variational
  Autoencoder and a One-Class Support Vector Machine

On Scrambling Phenomena for Randomly Initialized Recurrent Networks

Mixed-modality Representation Learning and Pre-training for Joint
  Table-and-Text Retrieval in OpenQA

Alzheimer's Diagnosis and Generation-Based Chatbot Using Hierarchical
  Attention and Transformer

Viterbi Decoding of Directed Acyclic Transformer for Non-Autoregressive
  Machine Translation

Legal Element-oriented Modeling with Multi-view Contrastive Learning for
  Legal Case Retrieval

Broad-persistent Advice for Interactive Reinforcement Learning Scenarios

Edge-Cloud Cooperation for DNN Inference via Reinforcement Learning and
  Supervised Learning

Neurosymbolic Motion and Task Planning for Linear Temporal Logic Tasks

Pre-Training for Robots: Offline RL Enables Learning New Tasks from a
  Handful of Trials

Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation
  Approach

Variability Matters : Evaluating inter-rater variability in
  histopathology for robust cell detection

BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised
  Instance Segmentation

LARF: Two-level Attention-based Random Forests with a Mixture of
  Contamination Models

The Fast and Accurate Approach to Detection and Segmentation of Melanoma
  Skin Cancer using Fine-tuned Yolov3 and SegNet Based on Deep Transfer
  Learning

Combining datasets to increase the number of samples and improve model
  fitting

Spectroscopic follow-up of statistically selected extremely metal-poor
  star candidates from GALAH DR3

ConserWeightive Behavioral Cloning for Reliable Offline Reinforcement
  Learning

Contrastive Trajectory Similarity Learning with Dual-Feature Attention

Understanding the Failure of Batch Normalization for Transformers in NLP

TriangleNet: Edge Prior Augmented Network for Semantic Segmentation
  through Cross-Task Consistency

DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical

Renewable Learning for Multiplicative Regression with Streaming Datasets

DiffRoll: Diffusion-based Generative Music Transcription with
  Unsupervised Pretraining Capability

Efficient Gaussian Process Model on Class-Imbalanced Datasets for
  Generalized Zero-Shot Learning

CSS: Combining Self-training and Self-supervised Learning for Few-shot
  Dialogue State Tracking

Classification based credit risk analysis: The case of Lending Club

X-NeRF: Explicit Neural Radiance Field for Multi-Scene 360$^{\circ} $
  Insufficient RGB-D Views

ACRNet: Attention Cube Regression Network for Multi-view Real-time 3D
  Human Pose Estimation in Telemedicine

Multi-Object Navigation with dynamically learned neural implicit

Performance Deterioration of Deep Learning Models after Clinical
  Deployment: A Case Study with Auto-segmentation for Definitive Prostate
  Cancer Radiotherapy

Tackling Instance-Dependent Label Noise with Dynamic Distribution
  Calibration

Exploring CNN-based models for image's aesthetic score prediction with
  using ensemble

Boosting Adversarial Robustness From The Perspective of Effective Margin

DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images

Deep learning model compression using network sensitivity and gradients

Functional Constrained Optimization for Risk Aversion and Sparsity
  Control

3D Matting: A Benchmark Study on Soft Segmentation Method for Pulmonary
  Nodules Applied in Computed Tomography

COMBO: Pre-Training Representations of Binary Code Using Contrastive
  Learning

IsoVec: Controlling the Relative Isomorphism of Word Embedding Spaces

Checks and Strategies for Enabling Code-Switched Machine Translation

Approximation of nearly-periodic symplectic maps via
  structure-preserving neural networks

The Role of Exploration for Task Transfer in Reinforcement Learning

Predicting successful clinical candidates for fiducial-free lung tumor
  tracking with a deep learning binary classification model

Joint Human Orientation-Activity Recognition Using WiFi Signals for
  Human-Machine Interaction

Self-supervised Model Based on Masked Autoencoders Advance CT Scans

VER: Scaling On-Policy RL Leads to the Emergence of Navigation in
  Embodied Rearrangement

Relational Attention: Generalizing Transformers for Graph-Structured
  Tasks

Risk Automatic Prediction for Social Economy Companies using Camels

Improving Retrieval Augmented Neural Machine Translation by Controlling
  Source and Fuzzy-Match Interactions

Formation of amorphous carbon multi-walled nanotubes from random initial
  configurations

Multi-CLS BERT: An Efficient Alternative to Traditional Ensembling

Contrastive Video-Language Learning with Fine-grained Frame Sampling

Automated Audio Captioning via Fusion of Low- and High- Dimensional
  Features

Not All Errors are Equal: Learning Text Generation Metrics using
  Stratified Error Synthesis

Real-Time Dynamic Map with Crowdsourcing Vehicles in Edge Computing

Multilingual Representation Distillation with Contrastive Learning

Using Deep Learning to Improve Early Diagnosis of Pneumonia in
  Underdeveloped Countries

The good, the bad and the ugly sides of data augmentation: An implicit
  spectral regularization perspective

Generalized Optimality Guarantees for Solving Continuous Observation
  POMDPs through Particle Belief MDP Approximation

Energy-Efficient Deployment of Machine Learning Workloads on
  Neuromorphic Hardware

Social Media Personal Event Notifier Using NLP and Machine Learning

Sampling-based inference for large linear models, with application to
  linearised Laplace

On Designing Day Ahead and Same Day Ridership Level Prediction Models
  for City-Scale Transit Networks Using Noisy APC Data

Loop Unrolled Shallow Equilibrium Regularizer (LUSER) -- A
  Memory-Efficient Inverse Problem Solver

Label-free segmentation from cardiac ultrasound using self-supervised
  learning

Domain-guided data augmentation for deep learning on medical imaging

Optimal wireless rate and power control in the presence of jammers using

Multi-step Planning for Automated Hyperparameter Optimization with
  OptFormer

Mining Causality from Continuous-time Dynamics Models: An Application to
  Tsunami Forecasting

Characterization of anomalous diffusion through convolutional
  transformers

f-DM: A Multi-stage Diffusion Model via Progressive Signal
  Transformation

A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream

Reaching Goals is Hard: Settling the Sample Complexity of the Stochastic
  Shortest Path

Interpretable AI for relating brain structural and functional
  connectomes

Deep Insights of Learning based Micro Expression Recognition: A
  Perspective on Promises, Challenges and Research Needs

NeRF2Real: Sim2real Transfer of Vision-guided Bipedal Motion Skills
  using Neural Radiance Fields

EVA3D: Compositional 3D Human Generation from 2D Image Collections

SCAM! Transferring humans between images with Semantic Cross Attention
  Modulation

Translate First Reorder Later: Leveraging Monotonicity in Semantic
  Parsing

CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation

Sequential Neural Score Estimation: Likelihood-Free Inference with
  Conditional Score Based Diffusion Models

SMiLE: Schema-augmented Multi-level Contrastive Learning for Knowledge
  Graph Link Prediction

A copula-based boosting model for time-to-event prediction with
  dependent censoring

Deep object detection for waterbird monitoring using aerial imagery

Tracking changes using Kullback-Leibler divergence for the continual
  learning

Second-order regression models exhibit progressive sharpening to the
  edge of stability

A Posteriori Error Estimate and Adaptivity for QM/MM Models of
  Crystalline Defects

Learning Real-world Autonomous Navigation by Self-Supervised Environment
  Synthesis

A novel generative method for star clusters from hydro-dynamical
  simulations

Benchmarking Reinforcement Learning Techniques for Autonomous Navigation

Knowledge Distillation Transfer Sets and their Impact on Downstream NLU
  Tasks

Learning Credit Assignment for Cooperative Reinforcement Learning

Data types as a more ergonomic frontend for Grammar-Guided Genetic

Driving and characterizing nucleation of urea and glycine polymorphs in
  water

Long N-step Surrogate Stage Reward to Reduce Variances of Deep
  Reinforcement Learning in Complex Problems

Efficient Learning of Locomotion Skills through the Discovery of Diverse
  Environmental Trajectory Generator Priors

Ensemble Learning using Transformers and Convolutional Networks for
  Masked Face Recognition

Truncated proposals for scalable and hassle-free simulation-based
  inference

Bayesian Sparse Regression for Mixed Multi-Responses with Application to
  Runtime Metrics Prediction in Fog Manufacturing

Towards a Theoretical Foundation of Policy Optimization for Learning
  Control Policies

Using Whole Slide Image Representations from Self-Supervised Contrastive
  Learning for Melanoma Concordance Regression

SimSCOOD: Systematic Analysis of Out-of-Distribution Behavior of Source
  Code Models

LMQFormer: A Laplace-Prior-Guided Mask Query Transformer for Lightweight
  Snow Removal

MUSE crowded field 3D spectroscopy in NGC 300 III. Characterizing
  extremely faint HII regions and diffuse ionized gas

Towards an Efficient ML System: Unveiling a Trade-off between Task
  Accuracy and Engineering Efficiency in a Large-scale Car Sharing Platform

Robustification of Multilingual Language Models to Real-world Noise with
  Robust Contrastive Pretraining

Contrastive Learning Approach for Semi-Supervised Seismic Facies
  Identification Using High-Confidence Representations

Semantically Enhanced Hard Negatives for Cross-modal Information
  Retrieval

Multi-mode fiber reservoir computing overcomes shallow neural networks
  classifiers

Knowledge Prompts: Injecting World Knowledge into Language Models
  through Soft Prompts

Uncertainty Quantification with Pre-trained Language Models: A
  Large-Scale Empirical Analysis

'Sawfish' Photonic Crystal Cavity for Near-Unity Emitter-to-Fiber
  Interfacing in Quantum Network Applications

Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut
  Learning in VQA

Learning "O" Helps for Learning More: Handling the Concealed Entity
  Problem for Class-incremental NER

A Survey of Methods for Addressing Class Imbalance in Deep-Learning
  Based Natural Language Processing

Exploiting map information for self-supervised learning in motion
  forecasting

Towards Developing and Analysing Metric-Based Software Defect Severity
  Prediction Model

Controlled defect production in monolayer MoS2 via electron irradiation
  at ultralow accelerating voltages

Denoising Masked AutoEncoders are Certifiable Robust Vision Learners

Association Graph Learning for Multi-Task Classification with Category
  Shifts

FaDIn: Fast Discretized Inference for Hawkes Processes with General
  Parametric Kernels

Non-invasive color imaging through scattering medium under broadband
  illumination

Investigation of inverse design of multilayer thin-films with
  conditional invertible Neural Networks

Calibrating AI Models for Few-Shot Demodulation via Conformal Prediction

FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in
  Realistic Healthcare Settings

Joint Multi-grained Popularity-aware Graph Convolution Collaborative
  Filtering for Recommendation

Is your noise correction noisy? PLS: Robustness to label noise with two
  stage detection

HumSet: Dataset of Multilingual Information Extraction and
  Classification for Humanitarian Crisis Response

A Learning-based approach for bias elimination in low cost gyroscopes

BoundaryFace: A mining framework with noise label self-correction for
  Face Recognition

Exploring Efficient-tuning Methods in Self-supervised Speech Models

Towards Robust Visual Question Answering: Making the Most of Biased
  Samples via Contrastive Learning

A Comprehensive Survey of Data Augmentation in Visual Reinforcement
  Learning

Everything is Varied: The Surprising Impact of Individual Variation on
  ML Robustness in Medicine

Comparing the carbon costs and benefits of low-resource solar nowcasting

Intrinsic motivation, Need for cognition, Grit, Growth Mindset and
  Academic Achievement in High School Students: Latent Profiles and Its
  Predictive Effects

Automatic Evaluation and Analysis of Idioms in Neural Machine

Sparse Semantic Map-Based Monocular Localization in Traffic Scenes Using
  Learned 2D-3D Point-Line Correspondences

DALE: Differential Accumulated Local Effects for efficient and accurate
  global explanations

Local Interpretable Model Agnostic Shap Explanations for machine

A policy gradient approach for Finite Horizon Constrained Markov
  Decision Processes

SelfMix: Robust Learning Against Textual Label Noise with Self-Mixup
  Training

Margin-Based Few-Shot Class-Incremental Learning with Class-Level
  Overfitting Mitigation

Deep Reinforcement Learning Based Joint Downlink Beamforming and RIS
  Configuration in RIS-aided MU-MISO Systems Under Hardware Impairments and
  Imperfect CSI

Improving Continual Relation Extraction through Prototypical Contrastive
  Learning

Multi-Modal Fusion Transformer for Visual Question Answering in Remote
  Sensing

Self-supervised Learning for Label-Efficient Sleep Stage Classification:
  A Comprehensive Evaluation

Learning Robust Representations for Continual Relation Extraction via
  Adversarial Class Augmentation

Unified Detoxifying and Debiasing in Language Generation via
  Inference-time Adaptive Optimization

A survey of Identification and mitigation of Machine Learning
  algorithmic biases in Image Analysis

Improving The Reconstruction Quality by Overfitted Decoder Bias in
  Neural Image Compression

Classification of cow diet based on milk mid infrared spectra: a data
  analysis competition at the "International workshop of spectroscopy and
  chemometrics 2022"

HiCo: Hierarchical Contrastive Learning for Ultrasound Video Model

Using Both Demonstrations and Language Instructions to Efficiently Learn
  Robotic Tasks

Identifying patterns of main causes of death in the young EU population

Distill the Image to Nowhere: Inversion Knowledge Distillation for
  Multimodal Machine Translation

OGC: Unsupervised 3D Object Segmentation from Rigid Dynamics of Point
  Clouds

The Guilty (Silicon) Mind: Blameworthiness and Liability in
  Human-Machine Teaming

Deep Learning in Spatially Resolved Transcriptomics: A Comprehensive
  Technical View

CrowdChecked: Detecting Previously Fact-Checked Claims in Social Media

Don't Copy the Teacher: Data and Model Challenges in Embodied Dialogue

Towards Training Graph Neural Networks with Node-Level Differential
  Privacy

Motion Compensated Self Supervised Deep Learning for Highly Accelerated
  3D Ultrashort Echo Time Pulmonary MRI

Creating a Dynamic Quadrupedal Robotic Goalkeeper with Reinforcement
  Learning

Scientific Machine Learning for Modeling and Simulating Complex Fluids

A Simple Baseline that Questions the Use of Pretrained-Models in

Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again

DeepPerform: An Efficient Approach for Performance Testing of
  Resource-Constrained Neural Networks

Self-explaining Hierarchical Model for Intraoperative Time Series

Reducing Action Space: Reference-Model-Assisted Deep Reinforcement
  Learning for Inverter-based Volt-Var Control

Predicting Blossom Date of Cherry Tree With Support Vector Machine and
  Recurrent Neural Network

Subject-specific quantitative susceptibility mapping using patch based
  deep image priors

Modeling and Mining Multi-Aspect Graphs With Scalable Streaming Tensor
  Decomposition

Focus Plus: Detect Learner's Distraction by Web Camera in Distance
  Teaching

Scaling Up Probabilistic Circuits by Latent Variable Distillation

DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep
  Learning

Unsupervised Domain Adaptive Fundus Image Segmentation with Few Labeled
  Source Data

Contrastive Representation Learning for Conversational Question
  Answering over Knowledge Graphs

A Detailed Study of Interpretability of Deep Neural Network based Top
  Taggers

A Differentiable Distance Approximation for Fairer Image Classification

FairGer: Using NLP to Measure Support for Women and Migrants in 155
  Years of German Parliamentary Debates

Nonlinear Sufficient Dimension Reduction with a Stochastic Neural
  Network

A Method for Computing Inverse Parametric PDE Problems with
  Random-Weight Neural Networks

QuTE: decentralized multiple testing on sensor networks with false
  discovery rate control

SML:Enhance the Network Smoothness with Skip Meta Logit for CTR

ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models

Prediction intervals for neural network models using weighted asymmetric
  loss functions

Pruning Adversarially Robust Neural Networks without Adversarial
  Examples

An Instance Selection Algorithm for Big Data in High imbalanced datasets
  based on LSH

Privacy-preserving Intelligent Resource Allocation for Federated Edge
  Learning in Quantum Internet

KSAT: Knowledge-infused Self Attention Transformer -- Integrating
  Multiple Domain-Specific Contexts

Are All Vision Models Created Equal? A Study of the Open-Loop to
  Closed-Loop Causality Gap

Equivalency of Optimality Criteria of Markov Decision Process and Model
  Predictive Control

Regularizing Score-based Models with Score Fokker-Planck Equations

Skeleton2Humanoid: Animating Simulated Characters for
  Physically-plausible Motion In-betweening

Low Light Video Enhancement by Learning on Static Videos with
  Cross-Frame Attention

CoopHash: Cooperative Learning of Multipurpose Descriptor and
  Contrastive Pair Generator via Variational MCMC Teaching for Supervised Image
  Hashing

Learning to Decompose Visual Features with Latent Textual Prompts

Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained
  Deep Neural Networks

Learning Texture Transformer Network for Light Field Super-Resolution

Event-Driven Tactile Learning with Various Location Spiking Neurons

Stochastic Zeroth-order Functional Constrained Optimization: Oracle
  Complexity and Applications

Sketched Multi-view Subspace Learning for Hyperspectral Anomalous Change
  Detection

Data-driven framework for input/output lookup tables reduction -- with
  application to hypersonic flows in chemical non-equilibrium

3D Reconstruction of Sculptures from Single Images via Unsupervised
  Domain Adaptation on Implicit Models

Coresets for Wasserstein Distributionally Robust Optimization Problems

A Self-attention Guided Multi-scale Gradient GAN for Diversified X-ray

A unit-based symbolic execution method for detecting memory corruption
  vulnerabilities in executable codes

Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma
  Segmentation and Koos Grade Prediction based on Semi-Supervised Contrastive
  Learning

Residual Neural Networks for the Prediction of Planetary Collision
  Outcomes

Improve Transformer Pre-Training with Decoupled Directional Relative
  Position Encoding and Representation Differentiations

Text detection and recognition based on a lensless imaging system

Fusing Event-based Camera and Radar for SLAM Using Spiking Neural
  Networks with Continual STDP Learning

Learning on the Edge: Online Learning with Stochastic Feedback Graphs

Deep learning method in testing the cosmic distance duality relation

Dual-distribution discrepancy with self-supervised refinement for
  anomaly detection in medical images

Hyperactive Learning (HAL) for Data-Driven Interatomic Potentials

Correlative Information Maximization Based Biologically Plausible Neural
  Networks for Correlated Source Separation

Transformer-based Flood Scene Segmentation for Developing Countries

Data augmentation for NeRF: a geometric consistent solution based on
  view morphing

Decomposed Mutual Information Optimization for Generalized Context in
  Meta-Reinforcement Learning

Let Images Give You More:Point Cloud Cross-Modal Training for Shape
  Analysis

Quasi-Monolithic Graph Neural Network for Fluid-Structure Interaction

CHARD: Clinical Health-Aware Reasoning Across Dimensions for Text
  Generation Models

Dialogic: Controllable Dialogue Simulation with In-Context Learning

Guided Nonlocal Patch Regularization and Efficient Filtering-Based
  Inversion for Multiband Fusion

MAMO: Masked Multimodal Modeling for Fine-Grained Vision-Language

Safety Verification for Neural Networks Based on Set-boundary Analysis

Grow and Merge: A Unified Framework for Continuous Categories Discovery

A Transformer-based deep neural network model for SSVEP classification

Galaxy Spin Classification I: Z-wise vs S-wise Spirals With Chirality
  Equivariant Residual Network

Test-time Recalibration of Conformal Predictors Under Distribution Shift
  Based on Unlabeled Examples

Neural Extended Kalman Filters for Learning and Predicting Dynamics of
  Structural Systems

Constrained Maximum Cross-Domain Likelihood for Domain Generalization

Self-supervised Video Representation Learning with Motion-Aware Masked
  Autoencoders

A Contextual Bandit Approach for Value-oriented Prediction Interval

Prediction of Drug-Induced TdP Risks Using Machine Learning and Rabbit
  Ventricular Wedge Assay

From Counter-intuitive Observations to a Fresh Look at Recommender
  System

Implementation of the Digital QS-SVM-based Beamformer on an FPGA
  Platform

Fine-grained Anomaly Detection in Sequential Data via Counterfactual
  Explanations

Adaptive Distribution Calibration for Few-Shot Learning with
  Hierarchical Optimal Transport

Strong Gravitational Lensing Parameter Estimation with Vision
  Transformer

VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature
  Alignment

Adapting Pretrained Vision-Language Foundational Models to Medical
  Imaging Domains

Performances of Symmetric Loss for Private Data from Exponential
  Mechanism

Towards Efficient Neural Scene Graphs by Learning Consistency Fields

DIMES: A Differentiable Meta Solver for Combinatorial Optimization
  Problems

Inferring Line-of-Sight Velocities and Doppler Widths from Stokes
  Profiles of GST/NIRIS Using Stacked Deep Neural Networks

Cognitive Models as Simulators: The Case of Moral Decision-Making

MultiStyleGAN: Multiple One-shot Face Stylizations using a Single GAN

Convergence of the Backward Deep BSDE Method with Applications to
  Optimal Stopping Problems

Leveraging progressive model and overfitting for efficient learned image
  compression

The effect of variable labels on deep learning models trained to predict
  breast density

Training Deep Learning Algorithms on Synthetic Forest Images for Tree
  Detection

PropertyDAG: Multi-objective Bayesian optimization of partially ordered,
  mixed-variable properties for biological sequence design

Break the Wall Between Homophily and Heterophily for Graph

How do you go where? Improving next location prediction by learning
  travel mode information using transformers

Collaborative Domain Blocking: Using federated NLP To Detect Malicious
  Domains

Dual Pyramid Generative Adversarial Networks for Semantic Image
  Synthesis

Unified Probabilistic Neural Architecture and Weight Ensembling Improves
  Model Robustness

SlenderGNN: Accurate, Robust, and Interpretable GNN, and the Reasons for
  its Success

Smart Cup: An impedance sensing based fluid intake monitoring system for
  beverages classification and freshness detection

Robustness of Unsupervised Representation Learning without Labels

Flow-based GAN for 3D Point Cloud Generation from a Single Image

CoBERT: Self-Supervised Speech Representation Learning Through Code

Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects

A deep learning network with differentiable dynamic programming for
  retina OCT surface segmentation

InfoCSE: Information-aggregated Contrastive Learning of Sentence

FedDef: Defense Against Gradient Leakage in Federated Learning-based
  Network Intrusion Detection Systems

Computing non-equilibrium trajectories by a deep learning approach

Online learning of the transfer matrix of dynamic scattering media:
  wavefront shaping meets multidimensional time series

Demand Layering for Real-Time DNN Inference with Minimized Memory Usage

Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous
  Driving via Semantic Masked World Model

(Fusionformer):Exploiting the Joint Motion Synergy with Fusion Network
  Based On Transformer for 3D Human Pose Estimation

Explainable fMRI-based Brain Decoding via Spatial Temporal-pyramid Graph
  Convolutional Network

Dynamically meeting performance objectives for multiple services on a
  service mesh

Don't Waste Data: Transfer Learning to Leverage All Data for
  Machine-Learnt Climate Model Emulation

ngram-OAXE: Phrase-Based Order-Agnostic Cross Entropy for
  Non-Autoregressive Machine Translation

Relational Message Passing for Fully Inductive Knowledge Graph

Weisfeiler--Lehman goes Dynamic: An Analysis of the Expressive Power of
  Graph Neural Networks for Attributed and Dynamic Graphs

TransRepair: Context-aware Program Repair for Compilation Errors

Distilling Causal Effect from Miscellaneous Other-Class for Continual
  Named Entity Recognition

KG-MTT-BERT: Knowledge Graph Enhanced BERT for Multi-Type Medical Text

Kernel-based Substructure Exploration for Next POI Recommendation

Asymptotically Unbiased Instance-wise Regularized Partial AUC
  Optimization: Theory and Algorithm

SDA: Simple Discrete Augmentation for Contrastive Sentence

Robust Graph Structure Learning over Images via Multiple Statistical
  Tests

Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine

Enhanced vectors for top-k document retrieval in Question Answering

ConstGCN: Constrained Transmission-based Graph Convolutional Networks
  for Document-level Relation Extraction

Learning Fine-Grained Visual Understanding for Video Question Answering
  via Decoupling Spatial-Temporal Modeling

Hierarchical Few-Shot Object Detection: Problem, Benchmark and Method

A Hybrid Adaptive Velocity Aided Navigation Filter with Application to
  INS/DVL Fusion

Cloud Native Robotic Applications with GPU Sharing on Kubernetes

APE: Aligning Pretrained Encoders to Quickly Learn Aligned Multimodal

CLIP-PAE: Projection-Augmentation Embedding to Extract Relevant Features
  for a Disentangled, Interpretable, and Controllable Text-Guided Image

Low Error-Rate Approximate Multiplier Design for DNNs with
  Hardware-Driven Co-Optimization

Short Text Pre-training with Extended Token Classification for
  E-commerce Query Understanding

Over-the-Air Split Learning with MIMO-Based Neural Network and
  Constellation-Based Activation

Signal Detection in MIMO Systems with Hardware Imperfections: Message
  Passing on Neural Networks

Bottleneck Analysis of Dynamic Graph Neural Network Inference on CPU and
  GPU

ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial
  Viewpoints

GRANITE: A Graph Neural Network Model for Basic Block Throughput

An associative memory model with very high memory rate: Image storage by
  sequential addition learning

Improving End-to-End Text Image Translation From the Auxiliary Text
  Translation Task

Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from
  Mixture-of-Experts

Improving Fine-Grain Segmentation via Interpretable Modifications: A
  Case Study in Fossil Segmentation

Data-Efficiency with a Single GPU: An Exploration of Transfer Methods
  for Small Language Models

Spectrally-Corrected and Regularized Linear Discriminant Analysis for
  Spiked Covariance Model

AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of
  Large-Scale Pre-Trained Language Models

Revisiting Self-Supervised Contrastive Learning for Facial Expression

Learning Stackelberg Equilibria and Applications to Economic Design
  Games

Constructing Prediction Intervals with Neural Networks: An Empirical
  Evaluation of Bootstrapping and Conformal Inference Methods

Learning to embed semantic similarity for joint image-text retrieval

Learning the Dynamics of Compliant Tool-Environment Interaction for
  Visuo-Tactile Contact Servoing

Early Detection of Bark Beetle Attack Using Remote Sensing and Machine
  Learning: A Review

Sampling-Based Decomposition Algorithms for Arbitrary Tensor Networks

An Analysis of the Effects of Decoding Algorithms on Fairness in
  Open-Ended Language Generation

Is margin all you need? An extensive empirical study of active learning
  on tabular data

The Asymmetric Maximum Margin Bias of Quasi-Homogeneous Neural Networks

Scaling Directed Controller Synthesis via Reinforcement Learning

Conservative Bayesian Model-Based Value Expansion for Offline Policy

Augmentations in Hypergraph Contrastive Learning: Fabricated and
  Generative

Supervised and Unsupervised Learning of Audio Representations for Music

SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained
  Models

iMedBot: A Web-based Intelligent Agent for Healthcare Related Prediction
  and Deep Learning

In What Ways Are Deep Neural Networks Invariant and How Should We
  Measure This?

Traffic-Aware Autonomous Driving with Differentiable Traffic Simulation

Gamma-hadron Separation in Imaging Atmospheric Cherenkov Telescopes
  using Quantum Classifiers

First results of the glitching pulsars monitoring program at the
  Argentine Institute of Radioastronomy

The PI Launchpad: Expanding the base of potential Principal
  Investigators across space sciences

xDBTagger: Explainable Natural Language Interface to Databases Using
  Keyword Mappings and Schema Graph

FedPC: Federated Learning for Language Generation with Personal and
  Context Preference Embeddings

Trustworthiness of Laser-Induced Breakdown Spectroscopy Predictions via
  Simulation-based Synthetic Data Augmentation and Multitask Learning

Automatic Discovery of Composite SPMD Partitioning Strategies in PartIR

Images as Weight Matrices: Sequential Image Generation Through Synaptic
  Learning Rules

Understanding Practices, Challenges, and Opportunities for User-Driven
  Algorithm Auditing in Industry Practice

Reconstructing parton collisions with machine learning techniques

NMTSloth: Understanding and Testing Efficiency Degradation of Neural
  Machine Translation Systems

Multi-Frequency-Aware Patch Adversarial Learning for Neural Point Cloud
  Rendering

Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of
  In-Context Experts

GENHOP: An Image Generation Method Based on Successive Subspace Learning

Koopman Neural Forecaster for Time Series with Temporal Distribution
  Shifts

Reinforcement Learning Approach for Multi-Agent Flexible Scheduling
  Problems

To tree or not to tree? Assessing the impact of smoothing the decision

CommsVAE: Learning the brain's macroscale communication dynamics using
  coupled sequential VAEs

Bi-directional Weakly Supervised Knowledge Distillation for Whole Slide
  Image Classification

GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot

Spatio-temporal Tendency Reasoning for Human Body Pose and Shape
  Estimation from Videos

A deep learning approach to solve forward differential problems on
  graphs

How to Enable Uncertainty Estimation in Proximal Policy Optimization

Leveraging Structure from Motion to Localize Inaccessible Bus Stops

The State-of-the-Art Survey on Optimization Methods for Cyber-physical
  Networks

GraspCaps: Capsule Networks Are All You Need for Grasping Familiar
  Objects

KAST: Knowledge Aware Adaptive Session Multi-Topic Network for
  Click-Through Rate Prediction

1st ICLR International Workshop on Privacy, Accountability,
  Interpretability, Robustness, Reasoning on Structured Data (PAIR^2Struct)

BlanketSet -- A clinical real word action recognition and qualitative
  semi-synchronised MoCap dataset

Modeling Inter-Class and Intra-Class Constraints in Novel Class
  Discovery

An Investigation into Whitening Loss for Self-supervised Learning

Learning Social Navigation from Demonstrations with Conditional Neural
  Processes

Synthetic Voice Detection and Audio Splicing Detection using
  SE-Res2Net-Conformer Architecture

Are Representations Built from the Ground Up? An Empirical Examination
  of Local Composition in Language Models

SAICL: Student Modelling with Interaction-level Auxiliary Contrastive
  Tasks for Knowledge Tracing and Dropout Prediction

AI-Driven Road Maintenance Inspection v2: Reducing Data Dependency &
  Quantifying Road Damage

How Large Language Models are Transforming Machine-Paraphrased
  Plagiarism

Automated segmentation and morphological characterization of placental
  histology images based on a single labeled image

Empowering Graph Representation Learning with Test-Time Graph

A deep learning approach for detection and localization of leaf
  anomalies

In-situ Model Downloading to Realize Versatile Edge AI in 6G Mobile
  Networks

An Empirical Studies on How the Developers Discussed about Pandas Topics

An Energy-Efficient Spiking Neural Network for Finger Velocity Decoding
  for Implantable Brain-Machine Interface

Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with

Private and Efficient Meta-Learning with Low Rank and Sparse

mPSAuth: Privacy-Preserving and Scalable Authentication for Mobile Web

Multi-objective and multi-fidelity Bayesian optimization of laser-plasma
  acceleration

CLAD: A realistic Continual Learning benchmark for Autonomous Driving

Neighbor Regularized Bayesian Optimization for Hyperparameter

Population-Based Reinforcement Learning for Combinatorial Optimization

Algorithmic Trading Using Continuous Action Space Deep Reinforcement
  Learning

Using Interventions to Improve Out-of-Distribution Generalization of
  Text-Matching Recommendation Systems

FastCLIPstyler: Optimisation-free Text-based Image Style Transfer Using
  Style Representations

Indoor Localization with Robust Global Channel Charting: A
  Time-Distance-Based Approach

Mutual Learning of Single- and Multi-Channel End-to-End Neural
  Diarization

Advice Conformance Verification by Reinforcement Learning agents for
  Human-in-the-Loop

Key Information Extraction in Purchase Documents using Deep Learning and
  Rule-based Corrections

Depersonalized Federated Learning: Tackling Statistical Heterogeneity by
  Alternating Stochastic Gradient Descent

ProGReST: Prototypical Graph Regression Soft Trees for Molecular
  Property Prediction

Trans2k: Unlocking the Power of Deep Models for Transparent Object
  Tracking

IDPL: Intra-subdomain adaptation adversarial learning segmentation
  method based on Dynamic Pseudo Labels

PS-ARM: An End-to-End Attention-aware Relation Mixer Network for Person
  Search

Monitoring MBE substrate deoxidation via RHEED image-sequence analysis
  by deep learning

Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs

Missing Modality meets Meta Sampling (M3S): An Efficient Universal
  Approach for Multimodal Sentiment Analysis with Missing Modality

Certified machine learning: Rigorous a posteriori error bounds for PDE
  defined PINNs

SpaceQA: Answering Questions about the Design of Space Missions and
  Space Craft Concepts

Utilizing Explainable AI for improving the Performance of Neural
  Networks

Research on Self-adaptive Online Vehicle Velocity Prediction Strategy
  Considering Traffic Information Fusion

Latent Matrices for Tensor Network Decomposition and to Tensor

Towards Automatic Model Completion: from Requirements to SysML State
  Machines

Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning
  Datasets

Temporal Feature Alignment in Contrastive Self-Supervised Learning for
  Human Activity Recognition

Zero-shot stance detection based on cross-domain feature enhancement by
  contrastive learning

Geomagnetic Survey Interpolation with the Machine Learning Approach

UU-Tax at SemEval-2022 Task 3: Improving the generalizability of
  language models for taxonomy classification through data augmentation

CLEAR: Causal Explanations from Attention in Neural Recommenders

Adversarial network training using higher-order moments in a modified
  Wasserstein distance

The Ethical Risks of Analyzing Crisis Events on Social Media with

Pix2Struct: Screenshot Parsing as Pretraining for Visual Language

A Unified Framework for Multi-intent Spoken Language Understanding with
  prompting

CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models
  for Programming Language Attend Code Structure

Explainable AI based Glaucoma Detection using Transfer Learning and LIME

Elastic Step DQN: A novel multi-step algorithm to alleviate
  overestimation in Deep QNetworks

Efficient and Robust Approaches for Analysis of SMARTs: Illustration
  using the ADAPT-R Trial

Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD
  Coding

Data-driven Approach to Differentiating between Depression and Dementia
  from Noisy Speech and Language Data

GOLLIC: Learning Global Context beyond Patches for Lossless
  High-Resolution Image Compression

Preprocessors Matter! Realistic Decision-Based Attacks on Machine
  Learning Systems

GMA3D: Local-Global Attention Learning to Estimate Occluded Motions of
  Scene Flow

Understanding Edge-of-Stability Training Dynamics with a Minimalist
  Example

EmbryosFormer: Deformable Transformer and Collaborative
  Encoding-Decoding for Embryos Stage Development Classification

Unsupervised Semantic Representation Learning of Scientific Literature
  Based on Graph Attention Mechanism and Maximum Mutual Information

Embedding Representation of Academic Heterogeneous Information Networks
  Based on Federated Learning

Scalable Self-Supervised Representation Learning from Spatiotemporal
  Motion Trajectories for Multimodal Computer Vision

Out-of-Distribution Generalization in Algorithmic Reasoning Through
  Curriculum Learning

TCNL: Transparent and Controllable Network Learning Via Embedding
  Human-Guided Concepts

Maximum Likelihood-based Gridless DoA Estimation Using Structured
  Covariance Matrix Recovery and SBL with Grid Refinement

Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision
  Tasks

Unsupervised Neural Stylistic Text Generation using Transfer learning
  and Adapters

Critical Learning Periods for Multisensory Integration in Deep Networks

Interpreting County Level COVID-19 Infection and Feature Sensitivity
  using Deep Learning Time Series Models

Damage Control During Domain Adaptation for Transducer Based Automatic
  Speech Recognition

Unsupervised Domain Adaptation for COVID-19 Information Service with
  Contrastive Adversarial Domain Mixup

Physics-informed neural networks of the Saint-Venant equations for
  downscaling a large-scale river model

Bayesian Nonlocal Operator Regression (BNOR): A Data-Driven Learning
  Framework of Nonlocal Models with Uncertainty Quantification

NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies

PQLM -- Multilingual Decentralized Portable Quantum Language Model for
  Privacy Protection

Characterization of LEO Satellites With All-Sky Photometric Signatures

On the Resilience of Traffic Networks under Non-Equilibrium Learning

Self-Adaptive Driving in Nonstationary Environments through Conjectural
  Online Lookahead Adaptation

Synthetic Dataset Generation for Privacy-Preserving Machine Learning

Exploration via Planning for Information about the Optimal Trajectory

A ResNet is All You Need? Modeling A Strong Baseline for Detecting
  Referable Diabetic Retinopathy in Fundus Images

Equivariant Shape-Conditioned Generation of 3D Molecules for
  Ligand-Based Drug Design

Probabilistic Model Incorporating Auxiliary Covariates to Control FDR

Evaluating Fairness Without Sensitive Attributes: A Framework Using Only
  Auxiliary Models

Gastrointestinal Disorder Detection with a Transformer Based Approach

Brief Introduction to Contrastive Learning Pretext Tasks for Visual

Prompt Compression and Contrastive Conditioning for Controllability and
  Toxicity Reduction in Language Models

Understanding Neural Coding on Latent Manifolds by Sharing Features and
  Dividing Ensembles

Comparison of Missing Data Imputation Methods using the Framingham Heart
  study dataset

Integrative Imaging Informatics for Cancer Research: Workflow Automation
  for Neuro-oncology (I3CR-WANO)

A New Path: Scaling Vision-and-Language Navigation with Synthetic
  Instructions and Imitation Learning

IR-MCL: Implicit Representation-Based Online Global Localization

Accelerated Single-Call Methods for Constrained Min-Max Optimization

Edge-Varying Fourier Graph Networks for Multivariate Time Series

Adaptive Ranking-based Sample Selection for Weakly Supervised
  Class-imbalanced Text Classification

Rainier: Reinforced Knowledge Introspector for Commonsense Question
  Answering

A Better Way to Decay: Proximal Gradient Training Algorithms for Neural
  Nets

InferES : A Natural Language Inference Corpus for Spanish Featuring
  Negation-Based Contrastive and Adversarial Examples

Few-Shot Calibration of Set Predictors via Meta-Learned
  Cross-Validation-Based Conformal Prediction

MagNet: machine learning enhanced three-dimensional magnetic

Structure Representation Network and Uncertainty Feedback Learning for
  Dense Non-Uniform Fog Removal

Reinforcement Learning with Large Action Spaces for Neural Machine

ByteTransformer: A High-Performance Transformer Boosted for
  Variable-Length Inputs

A neural network approach to high-dimensional optimal switching problems
  with jumps in energy markets

Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning
  Ticket's Mask?

Feature-Realistic Neural Fusion for Real-Time, Open Set Scene

Rolling Shutter Inversion: Bring Rolling Shutter Images to High
  Framerate Global Shutter Video

Digital Human Interactive Recommendation Decision-Making Based on

Uncovering the Structural Fairness in Graph Contrastive Learning

Residual-based error correction for neural operator accelerated
  infinite-dimensional Bayesian inverse problems

To Softmax, or not to Softmax: that is the question when applying Active
  Learning for Transformer Models

A Novel Attention Mechanism Using Anatomical Prior Probability Maps for
  Thoracic Disease Classification from X-Ray Images

Synergistic information supports modality integration and flexible
  learning in neural networks solving multiple tasks

COVID-19 Detection Using Segmentation, Region Extraction and
  Classification Pipeline

Incorporating High-Frequency Weather Data into Consumption Expenditure
  Predictions

SynBench: Task-Agnostic Benchmarking of Pretrained Representations using
  Synthetic Data

Deep Learning of Near Field Beam Focusing in Terahertz Wideband Massive
  MIMO Systems

Fault Diagnosis using eXplainable AI: a Transfer Learning-based Approach
  for Rotating Machinery exploiting Augmented Synthetic Data

Guess the Instruction! Flipped Learning Makes Language Models Stronger
  Zero-Shot Learners

Few-shot Generation of Personalized Neural Surrogates for Cardiac
  Simulation via Bayesian Meta-Learning

Designing a Robust Low-Level Agnostic Controller for a Quadrotor with
  Actor-Critic Reinforcement Learning

POPNASv2: An Efficient Multi-Objective Neural Architecture Search
  Technique

From Rules to Regs: A Structural Topic Model of Collusion Research

Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation

Enhancing Mixup-Based Graph Learning for Language Processing via Hybrid
  Pooling

VLSNR:Vision-Linguistics Coordination Time Sequence-aware News

Deep Learning Mixture-of-Experts Approach for Cytotoxic Edema Assessment
  in Infants and Children

Communication-Efficient and Drift-Robust Federated Learning via Elastic
  Net

Debiasing isn't enough! -- On the Effectiveness of Debiasing MLMs and
  their Social Biases in Downstream Tasks

A Review of Uncertainty Calibration in Pretrained Object Detectors

Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question
  Answering

An Overview of Affective Speech Synthesis and Conversion in the Deep
  Learning Era

Biological neurons act as generalization filters in reservoir computing

CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated
  Learning

A Distributional Lens for Multi-Aspect Controllable Text Generation

Scaling up Stochastic Gradient Descent for Non-convex Optimisation

Digital Asset Valuation: A Study on Domain Names, Email Addresses, and
  NFTs

Temporal Spatial Decomposition and Fusion Network for Time Series

Inference on Causal Effects of Interventions in Time using Gaussian
  Processes

Deep Reinforcement Learning based Evasion Generative Adversarial Network
  for Botnet Detection

Heterogeneous Treatment Effect Estimation for Observational Data using
  Model-based Forests

Matching Text and Audio Embeddings: Exploring Transfer-learning
  Strategies for Language-based Audio Retrieval

Neuroevolution is a Competitive Alternative to Reinforcement Learning
  for Skill Discovery

Effective Self-supervised Pre-training on Low-compute networks without

Data Augmentation-free Unsupervised Learning for 3D Point Cloud

Why Should I Choose You? AutoXAI: A Framework for Selecting and Tuning
  eXplainable AI Solutions

FloatingFusion: Depth from ToF and Image-stabilized Stereo Cameras

Artificial virtuous agents in a multiagent tragedy of the commons

Distilling Task-specific Logical Rules from Large Pre-trained Models

Dual-Stage Deeply Supervised Attention-based Convolutional Neural
  Networks for Mandibular Canal Segmentation in CBCT Scans

AutoQC: Automated Synthesis of Quantum Circuits Using Neural Network

Cyber-Resilient Privacy Preservation and Secure Billing Approach for
  Smart Energy Metering Devices

Assessing radiomics feature stability with simulated CT acquisitions

Learning Consistency-Aware Unsigned Distance Functions Progressively
  from Raw Point Clouds

Low-Thrust Orbital Transfer using Dynamics-Agnostic Reinforcement
  Learning

CLAD: A Contrastive Learning based Approach for Background Debiasing

The Sound of Silence: Efficiency of First Digit Features in Synthetic
  Audio Detection

STSyn: Speeding Up Local SGD with Straggler-Tolerant Synchronization

Spatial-Temporal Graph Convolutional Gated Recurrent Network for Traffic

PSVRF: Learning to restore Pitch-Shifted Voice without reference

Join-Chain Network: A Logical Reasoning View of the Multi-head Attention
  in Transformer

Leveraging Instance Features for Label Aggregation in Programmatic Weak
  Supervision

Understanding Gradient Regularization in Deep Learning: Efficient
  Finite-Difference Computation and Implicit Bias

Continuous Diagnosis and Prognosis by Controlling the Update Process of

hyperbox-brain: A Toolbox for Hyperbox-based Machine Learning Algorithms

Block-Structured Optimization for Subgraph Detection in Interdependent
  Networks

Knowledge Tracing for Complex Problem Solving: Granular Rank-Based
  Tensor Factorization

A Unified Hard-Constraint Framework for Solving Geometrically Complex
  PDEs

Probabilistic partition of unity networks for high-dimensional
  regression problems

Focal and Global Spatial-Temporal Transformer for Skeleton-based Action

Forecasting Bitcoin volatility spikes from whale transactions and
  CryptoQuant data using Synthesizer Transformer models

Neural Matching Fields: Implicit Representation of Matching Fields for
  Visual Correspondence

LGTBIDS: Layer-wise Graph Theory Based Intrusion Detection System in
  Beyond 5G

A Real2Sim2Real Method for Robust Object Grasping with Neural Surface

Conformal Isometry of Lie Group Representation in Recurrent Network of
  Grid Cells

A Machine Learning Based Approach to Categorize Research Journals

DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients
  via Secret Data Sharing

Effective Metaheuristic Based Classifiers for Multiclass Intrusion
  Detection

Uncertainty Estimation for Multi-view Data: The Power of Seeing the
  Whole Picture

Look Ma, Only 400 Samples! Revisiting the Effectiveness of Automatic
  N-Gram Rule Generation for Spelling Normalization in Filipino

Orthogonal Non-negative Matrix Factorization: a
  Maximum-Entropy-Principle Approach

Transformers Implement First-Order Logic with Majority Quantifiers

When not to use machine learning: a perspective on potential and
  limitations

Topological Continual Learning with Wasserstein Distance and Barycenter

Explainable Abuse Detection as Intent Classification and Slot Filling

Learning functional sections in medical conversations: iterative
  pseudo-labeling and human-in-the-loop approach

Predictive Edge Caching through Deep Mining of Sequential Patterns in
  User Content Retrievals

Trust in Motion: Capturing Trust Ascendancy in Open-Source Projects
  using Hybrid AI

Tracking the Evolution of Static Code Warnings: the State-of-the-Art and
  a Better Approach

PrivacyCube: A Tangible Device for Improving Privacy Awareness in IoT

Feasibility on Detecting Door Slamming towards Monitoring Early Signs of
  Domestic Violence

IR2Net: Information Restriction and Information Recovery for Accurate
  Binary Neural Networks

Geodesic Graph Neural Network for Efficient Graph Representation
  Learning

Research on the quantity and brightness evolution characteristics of
  Photospheric Bright Points groups

Data-driven Approaches to Surrogate Machine Learning Model Development

MechRetro is a chemical-mechanism-driven graph learning framework for
  interpretable retrosynthesis prediction and pathway planning

TensorAnalyzer: Identification of Urban Patterns in Big Cities using
  Non-Negative Tensor Factorization

Training Diverse High-Dimensional Controllers by Scaling Covariance
  Matrix Adaptation MAP-Annealing

U3E: Unsupervised and Erasure-based Evidence Extraction for Machine
  Reading Comprehension

Digital Twin-Empowered Network Planning for Multi-Tier Computing

Federated Learning with Server Learning: Enhancing Performance for
  Non-IID Data

Lyapunov Function Consistent Adaptive Network Signal Control with Back
  Pressure and Reinforcement Learning

Evaluating k-NN in the Classification of Data Streams with Concept Drift

ECG for high-throughput screening of multiple diseases: Proof-of-concept
  using multi-diagnosis deep learning from population-based datasets

From plane crashes to algorithmic harm: applicability of safety
  engineering frameworks for responsible ML

Spectral Regularization Allows Data-frugal Learning over Combinatorial
  Spaces

From Threat Reports to Continuous Threat Intelligence: A Comparison of
  Attack Technique Extraction Methods from Textual Artifacts

Learning convergence prediction of astrobots in multi-object
  spectrographs

CCC-wav2vec 2.0: Clustering aided Cross Contrastive Self-supervised
  learning of speech representations

Star-Graph Multimodal Matching Component Analysis for Data Fusion and
  Transfer Learning

Query The Agent: Improving sample efficiency through epistemic
  uncertainty estimation

SPICE: Self-Supervised Learning for MRI with Automatic Coil Sensitivity

A Closer Look at Robustness to L-infinity and Spatial Perturbations and
  their Composition

Bi-Stride Multi-Scale Graph Neural Network for Mesh-Based Physical

Beam shaping using an ultra-high vacuum multileaf collimator and
  emittance exchange beamline

Improved Anomaly Detection by Using the Attention-Based Isolation Forest

Sample-and-Forward: Communication-Efficient Control of the False
  Discovery Rate in Networks

Reprogramming Large Pretrained Language Models for Antibody Sequence
  Infilling

Towards Safe Mechanical Ventilation Treatment Using Deep Offline

Deep learning for ECoG brain-computer interface: end-to-end vs.
  hand-crafted features

A roadmap for edge computing enabled automated multidimensional
  transmission electron microscopy

Towards Semi-automatic Detection and Localization of Indoor
  Accessibility Issues using Mobile Depth Scanning and Computer Vision

Toward Knowledge-Driven Speech-Based Models of Depression: Leveraging
  Spectrotemporal Variations in Speech Vowels

Dual-Domain Cross-Iteration Squeeze-Excitation Network for Sparse
  Reconstruction of Brain MRI

See and Copy: Generation of complex compositional movements from modular
  and geometric RNN representations

Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic
  Fairness Research with U.S. Fair Lending Regulation

Revisiting Syllables in Language Modelling and their Application on
  Low-Resource Machine Translation

A novel non-linear transformation based multi-user identification
  algorithm for fixed text keystroke behavioral dynamics

Honest Students from Untrusted Teachers: Learning an Interpretable
  Question-Answering Pipeline from a Pretrained Language Model

Analyzing historical diagnosis code data from NIH N3C and RECOVER
  Programs using deep learning to determine risk factors for Long Covid

BaseTransformers: Attention over base data-points for One Shot Learning

Machine Learning Classification of Fast Radio Bursts: II. Unsupervised
  Methods

Machine learning classification of fast radio bursts: I. supervised
  methods

Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D

Making Your First Choice: To Address Cold Start Problem in Vision Active
  Learning

IRJIT -- An Information Retrieval Technique for Just-in-time Defect
  Identification

A flow-based formulation for parallel machine scheduling using decision
  diagrams

A deep learning model for brain vessel segmentation in 3DRA with
  arteriovenous malformations

Addressing contingency in algorithmic misinformation detection: Toward a
  responsible innovation agenda

The Vendi Score: A Diversity Evaluation Metric for Machine Learning

The Influence of Explainable Artificial Intelligence: Nudging Behaviour
  or Boosting Capability?

Decomposed Prompting: A Modular Approach for Solving Complex Tasks

Emotion Twenty Questions Dialog System for Lexical Emotional

Phenaki: Variable Length Video Generation From Open Domain Textual
  Description

Temporally Consistent Video Transformer for Long-Term Video Prediction

APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing

Variational prompt tuning improves generalization of vision-language
  models

Domain Adaptation for Unknown Image Distortions in Instance Segmentation

A Novel Entropy-Maximizing TD3-based Reinforcement Learning for
  Automatic PID Tuning

Spatio-Temporal Learnable Proposals for End-to-End Video Object
  Detection

Image Masking for Robust Self-Supervised Monocular Depth Estimation

A kernel-based quantum random forest for improved classification

Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI
  Data with Self-Supervised Machine Learning

Visual Backtracking Teleoperation: A Data Collection Protocol for
  Offline Image-Based Reinforcement Learning

Particle clustering in turbulence: Prediction of spatial and statistical
  properties with deep learning

Using Full-Text Content to Characterize and Identify Best Seller Books

Revisiting Graph Contrastive Learning from the Perspective of Graph
  Spectrum

Learning Across Domains and Devices: Style-Driven Source-Free Domain
  Adaptation in Clustered Federated Learning

Promising or Elusive? Unsupervised Object Segmentation from Real-world
  Single Images

Distributed Online Generalized Nash Equilibrium Tracking for Prosumer
  Energy Trading Games

Real-Time Reinforcement Learning for Vision-Based Robotics Utilizing
  Local and Remote Computers

Multi-stream Fusion for Class Incremental Learning in Pill Image

Neuro-Planner: A 3D Visual Navigation Method for MAV with Depth Camera
  based on Neuromorphic Reinforcement Learning

Imagen Video: High Definition Video Generation with Diffusion Models

GLAD: Grounded Layered Autonomous Driving for Complex Service Tasks

Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of
  Connected Autonomous Vehicles in Challenging Scenarios

SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit
  Neural Representations

Multiclass Learnability Beyond the PAC Framework: Universal Rates and
  Partial Concept Classes

TC-SKNet with GridMask for Low-complexity Classification of Acoustic
  scene

Efficient probabilistic reconciliation of forecasts for real-valued and
  count time series

Extending Conformal Prediction to Hidden Markov Models with Exact
  Validity via de Finetti's Theorem for Markov Chains

ResBeMF: Improving Prediction Coverage of Classification based
  Collaborative Filtering

From Intelligent Agents to Trustworthy Human-Centred Multiagent Systems

Granularity-aware Adaptation for Image Retrieval over Multiple Tasks

Channel Modeling for UAV-to-Ground Communications with Posture Variation
  and Fuselage Scattering Effect

HeartSpot: Privatized and Explainable Data Compression for Cardiomegaly
  Detection

Over-the-Air Federated Learning with Privacy Protection via Correlated
  Additive Perturbations

Thermal (and Hybrid Thermal/Audio) Side-Channel Attacks on Keyboard
  Input

Embodying the Glitch: Perspectives on Generative AI in Dance Practice

Neural Distillation as a State Representation Bottleneck in

On the Statistical Complexity of Estimation and Testing under Privacy
  Constraints

Improving Visual-Semantic Embedding with Adaptive Pooling and
  Optimization Objective

Game Theoretic Rating in N-player general-sum games with Equilibria

Over-the-Air Gaussian Process Regression Based on Product of Experts

Fused mean structure learning in data integration with dependence

TimesNet: Temporal 2D-Variation Modeling for General Time Series
  Analysis

Rediscovery of Numerical Lüscher's Formula from the Neural Network

RankMe: Assessing the downstream performance of pretrained
  self-supervised representations by their rank

Multi-objective optimization via equivariant deep hypervolume
  approximation

On Parallel or Distributed Asynchronous Iterations with Unbounded Delays
  and Possible Out of Order Messages or Flexible Communication for Convex
  Optimization Problems and Machine Learning

Boundary-safe PINNs extension: Application to non-linear parabolic PDEs
  in counterparty credit risk

CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted
  Empirical Risk Minimization

Intelligent and Secure Radio Environments for 6G Vehicular Aided
  HetNets: Key Opportunities and Challenges

An Active Learning Reliability Method for Systems with Partially Defined
  Performance Functions

Differentiable Mathematical Programming for Object-Centric

The Influence of Learning Rule on Representation Dynamics in Wide Neural
  Networks

Fine-Tuning with Differential Privacy Necessitates an Additional
  Hyperparameter Search

Relational Proxies: Emergent Relationships as Fine-Grained
  Discriminators

Adaptive Leading Cruise Control in Mixed Traffic Considering Human
  Behavioral Diversity

SECOE: Alleviating Sensors Failure in Machine Learning-Coupled IoT
  Systems

Common Vulnerability Scoring System Prediction based on Open Source
  Intelligence Information Sources

Density Planner: Minimizing Collision Risk in Motion Planning with
  Dynamic Obstacles using Density-based Reachability

Personalized Decentralized Bilevel Optimization over Stochastic and
  Directed Networks

Stock Volatility Prediction using Time Series and Deep Learning Approach

Development and validation of deep learning based embryo selection
  across multiple days of transfer

ISFL: Trustworthy Federated Learning for Non-i.i.d. Data with Local
  Importance Sampling

Automated Graph Self-supervised Learning via Multi-teacher Knowledge

Teaching Yourself: Graph Self-Distillation on Neighborhood for Node

Functional Central Limit Theorem and Strong Law of Large Numbers for
  Stochastic Gradient Langevin Dynamics

Tripletformer for Probabilistic Interpolation of Asynchronous Time
  Series

Transformer-based conditional generative adversarial network for
  multivariate time series generation

Bilinear Exponential Family of MDPs: Frequentist Regret Bound with
  Tractable Exploration and Planning

Particle swarm optimization of a wind farm layout with active control of
  turbine yaws

Multi-View Independent Component Analysis with Shared and Individual
  Sources

Exploring The Role of Mean Teachers in Self-supervised Masked

Advanced Deep Learning Architectures for Accurate Detection of
  Subsurface Tile Drainage Pipes from Remote Sensing Images

Discovery of double BSS sequences in the old Galactic open cluster
  Berkeley 17

Learning to Act: Novel Integration of Algorithms and Models for Epidemic
  Preparedness

Trustworthy clinical AI solutions: a unified review of uncertainty
  quantification in deep learning models for medical image analysis

GT-GAN: General Purpose Time Series Synthesis with Generative
  Adversarial Networks

Learning Video-independent Eye Contact Segmentation from In-the-Wild
  Videos

DreamShard: Generalizable Embedding Table Placement for Recommender
  Systems

Exploring Effective Knowledge Transfer for Few-shot Object Detection

Atari-5: Distilling the Arcade Learning Environment down to Five Games

DEGAN: Time Series Anomaly Detection using Generative Adversarial
  Network Discriminators and Density Estimation

TgDLF2.0: Theory-guided deep-learning for electrical load forecasting
  via Transformer and transfer learning

Multi-task Self-supervised Graph Neural Networks Enable Stronger Task

Factor Augmented Sparse Throughput Deep ReLU Neural Networks for High
  Dimensional Regression

Waveformer: Linear-Time Attention with Forward and Backward Wavelet
  Transform

Bicoptor: Two-round Secure Three-party Non-linear Computation without
  Preprocessing for Privacy-preserving Machine Learning

Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting
  Models

A Multi-Stage Automated Online Network Data Stream Analytics Framework
  for IIoT Systems

Robust Estimation of Loss-Based Measures of Model Performance under
  Covariate Shift

Split Federated Learning on Micro-controllers: A Keyword Spotting
  Showcase

Detect, Retrieve, Comprehend: A Flexible Framework for Zero-Shot
  Document-Level Question Answering

Calibrating Data Mismatches in Deep Learning-Based Quantitative
  Ultrasound Using Setting Transfer Functions

Learning Dynamic Abstract Representations for Sample-Efficient

Robust Fair Clustering: A Novel Fairness Attack and Defense Framework

Affection: Learning Affective Explanations for Real-World Visual Data

IGNiteR: News Recommendation in Microblogging Applications (Extended
  Version)

On the Robustness of Deep Clustering Models: Adversarial Attacks and
  Defenses

A catalog of candidate double and lensed quasars from Gaia and WISE data

When and why vision-language models behave like bags-of-words, and what
  to do about it?

Regression-Based Elastic Metric Learning on Shape Spaces of Elastic
  Curves

Semantics-aware Dataset Discovery from Data Lakes with Contextualized
  Column-based Representation Learning

Convex and Nonconvex Sublinear Regression with Application to
  Data-driven Learning of Reach Sets

Non-Parametric and Regularized Dynamical Wasserstein Barycenters for
  Time-Series Analysis

Differentiable Raycasting for Self-supervised Occupancy Forecasting

Grounding Language with Visual Affordances over Unstructured Data

Learning Signal Temporal Logic through Neural Network for Interpretable

Supervised Metric Learning for Retrieval via Contextual Similarity

A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games

Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph

Crystal Nucleation in Al-Ni Alloys: an Unsupervised Chemical and
  Topological Learning Approach

AdaWAC: Adaptively Weighted Augmentation Consistency Regularization for
  Volumetric Medical Image Segmentation

Self-supervised Pre-training for Semantic Segmentation in an Indoor
  Scene

A Low-cost Humanoid Prototype Intended to assist people with disability
  using Raspberry Pi

Contrastive Learning Can Find An Optimal Basis For Approximately
  View-Invariant Functions

A Collaborative Approach to the Analysis of the COVID-19 Response in
  Africa

Uncertainty-Aware Meta-Learning for Multimodal Task Distributions

Recycling Scraps: Improving Private Learning by Leveraging Intermediate
  Checkpoints

ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits

Multifaceted Hierarchical Report Identification for Non-Functional Bugs
  in Deep Learning Frameworks

Explaining Patterns in Data with Language Models via Interpretable
  Autoprompting

Learning Perception-Aware Agile Flight in Cluttered Environments

Stateful active facilitator: Coordination and Environmental
  Heterogeneity in Cooperative Multi-Agent Reinforcement Learning

Detecting Anomalies within Smart Buildings using Do-It-Yourself Internet
  of Things

An Interpretable Machine Learning Framework for Modeling High-Resolution
  Spectroscopic Data

Using Pre-/Post-Quizzes Intentionally in Curriculum Development and
  Evaluation

The DAWES review 10: The impact of deep learning for the analysis of
  galaxy surveys

X-ray Reverberation Mapping of Ark 564 using Gaussian Process Regression

Sampling Streaming Data with Parallel Vector Quantization -- PVQ

Goal Misgeneralization: Why Correct Specifications Aren't Enough For
  Correct Goals

Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean
  Function Perspective

COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised
  3D Point Cloud Segmentation

DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

AnoML-IoT: An End to End Re-configurable Multi-protocol Anomaly
  Detection Pipeline for Internet of Things

A Framework for Web Services Retrieval Using Bio Inspired Clustering

Evaluating Disentanglement in Generative Models Without Knowledge of
  Latent Factors

Search for gravitational-wave bursts in the third Advanced LIGO-Virgo
  run with coherent WaveBurst enhanced by Machine Learning

HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon
  Prediction of Event Sequences

Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time

Modular Approach to Machine Reading Comprehension: Mixture of Task-Aware
  Experts

Lightweight Strategy for XOR PUFs as Security Primitives for
  Resource-constrained IoT device

Sharp Analysis of Stochastic Optimization under Global
  Kurdyka-Łojasiewicz Inequality

Learning from Demonstrations of Critical Driving Behaviours Using
  Driver's Risk Field

CADet: Fully Self-Supervised Anomaly Detection With Contrastive Learning

ASIF: Coupled Data Turns Unimodal Models to Multimodal Without Training

Using Entropy Measures for Monitoring the Evolution of Activity Patterns

Detecting and Denoising Gravitational Wave Signals from Binary Black
  Holes using Deep Learning

Learning the Spectrogram Temporal Resolution for Audio Classification

Anatomically constrained CT image translation for heterogeneous blood
  vessel segmentation

Exploring Parameter-Efficient Fine-tuning for Improving Communication
  Efficiency in Federated Learning

Multiple Instance Learning for Detecting Anomalies over Sequential
  Real-World Datasets

Improving Label-Deficient Keyword Spotting Using Self-Supervised

Simultaneous self-supervised reconstruction and denoising of sub-sampled
  MRI data with Noisier2Noise

DISCOVER: Deep identification of symbolic open-form PDEs via enhanced
  reinforcement-learning

Adaptive Synaptic Failure Enables Sampling from Posterior Predictive
  Distributions in the Brain

Deep Learning-based Facial Appearance Simulation Driven by Surgically
  Planned Craniomaxillofacial Bony Movement

Robustness Certification of Visual Perception Models via Camera Motion
  Smoothing

Learning Depth Vision-Based Personalized Robot Navigation From Dynamic
  Demonstrations in Virtual Reality

New Machine Learning Techniques for Simulation-Based Inference:
  InferoStatic Nets, Kernel Score Estimation, and Kernel Likelihood Ratio

Bringing robotics taxonomies to continuous domains via GPLVM on
  hyperbolic manifolds

Improving Quantum Classifier Performance in NISQ Computers by Voting
  Strategy from Ensemble Learning

Codeless App Development: Evaluating A Cloud-Native Domain-Specific
  Functions Approach

Robotic Learning the Sequence of Packing Irregular Objects from Human
  Demonstrations

SecureFedYJ: a safe feature Gaussianization protocol for Federated
  Learning

Predicting the traffic flux in the city of Valencia with Deep Learning

Monte Carlo Tree Search based Variable Selection for High Dimensional
  Bayesian Optimization

Predictive Event Segmentation and Representation with Neural Networks: A
  Self-Supervised Model Assessed by Psychological Experiments

Energy Consumption of Neural Networks on NVIDIA Edge Boards: an
  Empirical Model

Location-aware green energy availability forecasting for multiple time
  frames in smart buildings: The case of Estonia

PlaneDepth: Plane-Based Self-Supervised Monocular Depth Estimation

Machine learning in bioprocess development: From promise to practice

A Generative Shape Compositional Framework: Towards Representative
  Populations of Virtual Heart Chimaeras

Positive Pair Distillation Considered Harmful: Continual Meta Metric
  Learning for Lifelong Object Re-Identification

ROAD-R: The Autonomous Driving Dataset with Logical Requirements

FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast
  Fourier Convolutions

Cross-Geography Generalization of Machine Learning Methods for
  Classification of Flooded Regions in Aerial Images

How Image Generation Helps Visible-to-Infrared Person Re-Identification?

Amortized Bayesian Inference of GISAXS Data with Normalizing Flows

Inclusion of Frequency Nadir constraint in the Unit Commitment Problem
  of Small Power Systems Using Machine Learning

Analysis of the performance of U-Net neural networks for the
  segmentation of living cells

ProDMPs: A Unified Perspective on Dynamic and Probabilistic Movement
  Primitives

DIAGNOSE: Avoiding Out-of-distribution Data using Submodular Information
  Measures

Handling Sparse Rewards in Reinforcement Learning Using Model Predictive
  Control

CLINICAL: Targeted Active Learning for Imbalanced Medical Image

Automatic Generation of Product Concepts from Positive Examples, with an
  Application to Music Streaming

The Dynamics of Sharpness-Aware Minimization: Bouncing Across Ravines
  and Drifting Towards Wide Minima

Code-Switching without Switching: Language Agnostic End-to-End Speech

How deep convolutional neural networks lose spatial information with
  training

Enhancing Spatiotemporal Prediction Model using Modular Design and
  Beyond

Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without
  Gradients

Maximum Entropy Approach for the Prediction of Urban Mobility Patterns

Generative Models and Learning Algorithms for Core-Periphery Structured
  Graphs

SwarMan: Anthropomorphic Swarm of Drones Avatar with Body Tracking and
  Deep Learning-Based Gesture Recognition

APAUNet: Axis Projection Attention UNet for Small Target in 3D Medical

Double Attention-based Lightweight Network for Plant Pest Recognition

Transformer-based Subject Entity Detection in Wikipedia Listings

When to Make Exceptions: Exploring Language Models as Accounts of Human
  Moral Judgment

Learning-based Design of Luenberger Observers for Autonomous Nonlinear
  Systems

Learning from the Best: Contrastive Representations Learning Across
  Sensor Locations for Wearable Activity Recognition

Federated Reinforcement Learning for Real-Time Electric Vehicle Charging
  and Discharging Control

A Novel Light Field Coding Scheme Based on Deep Belief Network and
  Weighted Binary Images for Additive Layered Displays

Low-Light Image Restoration Based on Retina Model using Neural Networks

Bayesian and Machine Learning Methods in the Big Data era for
  astronomical imaging

Analysis of the rate of convergence of an over-parametrized deep neural
  network estimate learned by gradient descent

Boosting Few-shot Fine-grained Recognition with Background Suppression
  and Foreground Alignment

Complementary consistency semi-supervised learning for 3D left atrial
  image segmentation

Shielding Federated Learning: Mitigating Byzantine Attacks with Less

Non-learning Stereo-aided Depth Completion under Mis-projection via
  Selective Stereo Matching

Learning to Occlusion-Robustly Estimate 3-D States of Deformable Linear
  Objects from Single-Frame Point Clouds

Machine Learning based search for Cataclysmic Variables within Gaia
  Science Alerts

Deep Reinforcement Learning for Scheduling and Power Allocation in a 5G
  Urban Mesh

Data drift correction via time-varying importance weight estimator

Learning of Dynamical Systems under Adversarial Attacks -- Null Space
  Property Perspective

Tikhonov Regularization is Optimal Transport Robust under Martingale

SLOT-V: Supervised Learning of Observer Models for Legible Robot Motion
  Planning in Manipulation

Homotopy-based training of NeuralODEs for accurate dynamics discovery

Linear Convergence of Natural Policy Gradient Methods with Log-Linear
  Policies

Learning Deep Nets for Gravitational Dynamics with Unknown Disturbance
  through Physical Knowledge Distillation: Initial Feasibility Study

Bridged Transformer for Vision and Point Cloud 3D Object Detection

Toward Edge-Efficient Dense Predictions with Synergistic Multi-Task
  Neural Architecture Search

Generalizing Bayesian Optimization with Decision-theoretic Entropies

Inverse Game Theory for Stackelberg Games: the Blessing of Bounded
  Rationality

Lattice dynamics and elastic properties of alpha-U at high-temperature
  and high-pressure by machine learning potential simulations

Improved High-Probability Regret for Adversarial Bandits with
  Time-Varying Feedback Graphs

Optimizing Vehicle-to-Edge Mapping with Load Balancing for
  Attack-Resilience in IoV

Safety-Aware Learning-Based Control of Systems with Uncertainty
  Dependent Constraints (extended version)

A Study on the Efficiency and Generalization of Light Hybrid Retrievers

Towards Flexible Inductive Bias via Progressive Reparameterization
  Scheduling

Understanding Older Adults' Perceptions and Challenges in Using
  AI-enabled Everyday Technologies

A Generalizable Artificial Intelligence Model for COVID-19
  Classification Task Using Chest X-ray Radiographs: Evaluated Over Four
  Clinical Datasets with 15,097 Patients

Connecting Surrogate Safety Measures to Crash Probablity via Causal
  Probabilistic Time Series Prediction

Domain Discrepancy Aware Distillation for Model Aggregation in Federated
  Learning

Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in

Less is More: Task-aware Layer-wise Distillation for Language Model

Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural
  Networks

Movement Analytics: Current Status, Application to Manufacturing, and
  Future Prospects from an AI Perspective

The Surprising Computational Power of Nondeterministic Stack RNNs

Estimating heterogeneous treatment effects versus building
  individualized treatment rules: Connection and disconnection

Safely Learning Visuo-Tactile Feedback Policies in Real For Industrial
  Insertion

Learning to Collocate Visual-Linguistic Neural Modules for Image
  Captioning

MTSMAE: Masked Autoencoders for Multivariate Time-Series Forecasting

Automated Medical Device Display Reading Using Deep Learning Object
  Detection

OpBoost: A Vertical Federated Tree Boosting Framework Based on
  Order-Preserving Desensitization

Concurrent build direction, part segmentation, and topology optimization
  for additive manufacturing using neural networks

Beam Management in Ultra-dense mmWave Network via Federated
  Reinforcement Learning: An Intelligent and Secure Approach

Nuisances via Negativa: Adjusting for Spurious Correlations via Data

GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient
  Link Prediction

Revealing Unobservables by Deep Learning: Generative Element Extraction
  Networks (GEEN)

ThinkSum: Probabilistic reasoning over sets using large language models

Data-Efficient Characterization of the Global Dynamics of Robot
  Controllers with Confidence Guarantees

Structural Estimation of Markov Decision Processes in High-Dimensional
  State Space with Finite-Time Guarantees

Random Weight Factorization Improves the Training of Continuous Neural

An attention-based backend allowing efficient fine-tuning of transformer
  models for speaker verification

A systematic review of the use of Deep Learning in Satellite Imagery for
  Agriculture

On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks

Course-Prerequisite Networks for Analyzing and Understanding Academic
  Curricula

Understanding Substructures in Commonsense Relations in ConceptNet

Enriching Vulnerability Reports Through Automated and Augmented
  Description Summarization

Convolutional networks inherit frequency sensitivity from image
  statistics

And what if two musical versions don't share melody, harmony, rhythm, or
  lyrics ?

Prompt Learning with Optimal Transport for Vision-Language Models

OPT-Mimic: Imitation of Optimized Trajectories for Dynamic Quadruped
  Behaviors

Random orthogonal additive filters: a solution to the
  vanishing/exploding gradient of deep neural networks

Event-based Temporally Dense Optical Flow Estimation with Sequential

Learning over time using a neuromorphic adaptive control algorithm for
  robotic arms

Is Reinforcement Learning (Not) for Natural Language Processing?:
  Benchmarks, Baselines, and Building Blocks for Natural Language Policy

CaiRL: A High-Performance Reinforcement Learning Environment Toolkit

CostNet: An End-to-End Framework for Goal-Directed Reinforcement
  Learning

Interpretable Option Discovery using Deep Q-Learning and Variational

Estimating the Performance of Entity Resolution Algorithms: Lessons
  Learned Through PatentsView.org

Force-Aware Interface via Electromyography for Natural VR/AR Interaction

One-shot Detail Retouching with Patch Space Neural Field based
  Transformation Blending

Sparsity by Redundancy: Solving $L_1$ with a Simple Reparametrization

A Reproducible and Realistic Evaluation of Partial Domain Adaptation
  Methods

Automatic Assessment of Functional Movement Screening Exercises with

Diagnosis of Parkinson's Disease Based on Voice Signals Using SHAP and
  Hard Voting Ensemble Method

SinGRAV: Learning a Generative Radiance Volume from a Single Natural
  Scene

Online Update of Safety Assurances Using Confidence-Based Predictions

Extending Compositional Attention Networks for Social Reasoning in
  Videos

ContraGen: Effective Contrastive Learning For Causal Language Model

Applying Machine Learning Techniques To Intermediate-Length Cascade
  Decays

Introducing Vision Transformer for Alzheimer's Disease classification
  task with 3D input

TPGNN: Learning High-order Information in Dynamic Graphs via Temporal

MultiLoad-GAN: A GAN-Based Synthetic Load Group Generation Method
  Considering Spatial-Temporal Correlations

Learning Minimally-Violating Continuous Control for Infeasible Linear
  Temporal Logic Specifications

Unbounded Gradients in Federated Learning with Buffered Asynchronous
  Aggregation

An Analysis of RF Transfer Learning Behavior Using Synthetic Data

That Sounds Right: Auditory Self-Supervision for Dynamic Robot

Language-Aware Soft Prompting for Vision & Language Foundation Models

MultiGuard: Provably Robust Multi-label Classification against
  Adversarial Examples

The (In)Effectiveness of Intermediate Task Training For Domain
  Adaptation and Cross-Lingual Transfer Learning

Nonstationary data stream classification with online active learning and
  siamese neural networks

Learning with Limited Samples -- Meta-Learning and Applications to
  Communication Systems

Emergence of Shared Sensory-motor Graphical Language from Visual Input

On The Effects Of Data Normalisation For Domain Adaptation On EEG Data

Improving Convolutional Neural Networks for Fault Diagnosis by
  Assimilating Global Features

Nonlinear Reconstruction for Operator Learning of PDEs with
  Discontinuities

Understanding Influence Functions and Datamodels via Harmonic Analysis

New Paradigms for Exploiting Parallel Experiments in Bayesian

Process Modeling, Hidden Markov Models, and Non-negative Tensor
  Factorization with Model Selection

Russian Web Tables: A Public Corpus of Web Tables for Russian Language
  Based on Wikipedia

CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth

Optimization of the Memory Reset Rate of a Quantum Echo-State Network
  for Time Sequential Tasks

A machine learning based algorithm selection method to solve the minimum
  cost flow problem

Faster Last-iterate Convergence of Policy Optimization in Zero-Sum
  Markov Games

Probabilistic Safeguard for Reinforcement Learning Using Safety Index
  Guided Gaussian Process Models

Expediting Large-Scale Vision Transformer for Dense Prediction without
  Fine-tuning

Hip Fracture Prediction using the First Principal Component Derived from
  FEA-Computed Fracture Loads

WaveFit: An Iterative and Non-autoregressive Neural Vocoder based on
  Fixed-Point Iteration

Sequential Brick Assembly with Efficient Constraint Satisfaction

Plateau in Monotonic Linear Interpolation -- A "Biased" View of Loss
  Landscape for Deep Networks

Neural network for determining an asteroid mineral composition from
  reflectance spectra

Mutual Information Learned Classifiers: an Information-theoretic
  Viewpoint of Training Deep Learning Classification Systems

Latent State Marginalization as a Low-cost Approach for Improving
  Exploration

Online Self-Concordant and Relatively Smooth Minimization, With
  Applications to Online Portfolio Selection and Learning Quantum States

Efficient Bayes Inference in Neural Networks through Adaptive Importance
  Sampling

Policy Gradient for Reinforcement Learning with General Utilities

A Comparative Study of Hierarchical Risk Parity Portfolio and Eigen
  Portfolio on the NIFTY 50 Stocks

Dissipative Imitation Learning for Robust Dynamic Output Feedback

NCVX: A General-Purpose Optimization Solver for Constrained Machine and
  Deep Learning

Deep learning-based Fast Volumetric Image Generation for Image-guided
  Proton FLASH Radiotherapy

Membership Inference Attacks Against Text-to-image Generation Models

Stability Analysis and Generalization Bounds of Adversarial Training

Bias and Extrapolation in Markovian Linear Stochastic Approximation with
  Constant Stepsizes

Optimal consumption-investment choices under wealth-driven risk aversion

Module-wise Training of Residual Networks via the Minimizing Movement
  Scheme

Cooperative Multi-Agent Deep Reinforcement Learning for Reliable and
  Energy-Efficient Mobile Access via Multi-UAV Control

Attention Distillation: self-supervised vision transformer students need
  more guidance

Unsupervised Multimodal Change Detection Based on Structural
  Relationship Graph Representation Learning

How Relevant is Selective Memory Population in Lifelong Language
  Learning?

Improving Sample Quality of Diffusion Models Using Self-Attention
  Guidance

Perceptual Attacks of No-Reference Image Quality Models with

Multi-view object pose estimation from correspondence distributions and
  epipolar geometry

Fill in Fabrics: Body-Aware Self-Supervised Inpainting for Image-Based
  Virtual Try-On

Federated Domain Generalization for Image Recognition via Cross-Client
  Style Transfer

Automated Identification of Tree Species by Bark Texture Classification
  Using Convolutional Neural Networks

Wheel Impact Test by Deep Learning: Prediction of Location and Magnitude
  of Maximum Stress

Smart-Badge: A wearable badge with multi-modal sensors for kitchen
  activity recognition

MSRL: Distributed Reinforcement Learning with Dataflow Fragments

Requirements Engineering for Machine Learning: A Review and Reflection

A Strong Transfer Baseline for RGB-D Fusion in Vision Transformers

Transfer Learning on Electromyography (EMG) Tasks: Approaches and Beyond

Smooth image-to-image translations with latent space interpolations

Merging Classification Predictions with Sequential Information for
  Lightweight Visual Place Recognition in Changing Environments

Square-root regret bounds for continuous-time episodic Markov decision
  processes

Federated Learning-Based Interference Modeling for Vehicular Dynamic
  Spectrum Access

Self-omics: A Self-supervised Learning Framework for Multi-omics Cancer
  Data

Random Data Augmentation based Enhancement: A Generalized Enhancement
  Approach for Medical Datasets

Combinatorial and algebraic perspectives on the marginal independence
  structure of Bayesian networks

Using Artificial Intelligence in the Reconstruction of Signals from the
  PADME Electromagnetic Calorimeter

A Multi Camera Unsupervised Domain Adaptation Pipeline for Object
  Detection in Cultural Sites through Adversarial Learning and Self-Training

Limitations of neural network training due to numerical instability of
  backpropagation

Obstacle Avoidance for Robotic Manipulator in Joint Space via Improved

DDoS: A Graph Neural Network based Drug Synergy Prediction Algorithm

HPC Storage Service Autotuning Using Variational-Autoencoder-Guided
  Asynchronous Bayesian Optimization

Hierarchical reinforcement learning for in-hand robotic manipulation
  using Davenport chained rotations

Towards a Unified View on Visual Parameter-Efficient Transfer Learning

On the potential and limitations of quantum extreme learning machines

Accelerate Reinforcement Learning with PID Controllers in the Pendulum
  Simulations

Few-Shot Segmentation via Rich Prototype Generation and Recurrent
  Prediction Enhancement

Fully Transformer Network for Change Detection of Remote Sensing Images

CERBERUS: Simple and Effective All-In-One Automotive Perception Model
  with Multi Task Learning

Détection de petites cibles par apprentissage profond et critère a
  contrario

Push-Pull: Characterizing the Adversarial Robustness for Audio-Visual
  Active Speaker Detection

From Face to Natural Image: Learning Real Degradation for Blind Image

Offline Reinforcement Learning with Differentiable Function
  Approximation is Provably Efficient

An Embarrassingly Simple Approach for Intellectual Property Rights
  Protection on Recurrent Neural Networks

FedDig: Robust Federated Learning Using Data Digest to Represent Absent
  Clients

A Dynamic Model for Bus Arrival Time Estimation based on Spatial
  Patterns using Machine Learning

Learning from the Dark: Boosting Graph Convolutional Neural Networks
  with Diverse Negative Samples

Statistical Efficiency of Score Matching: The View from Isoperimetry

Efficient acoustic feature transformation in mismatched environments
  using a Guided-GAN

To Improve Is to Change: Towards Improving Mood Prediction by Learning
  Changes in Emotion

Efficient Meta-Learning for Continual Learning with Taylor Expansion
  Approximation

EraseNet: A Recurrent Residual Network for Supervised Document Cleaning

Theme and Topic: How Qualitative Research and Topic Modeling Can Be
  Brought Together

Information-Theoretic Analysis of Unsupervised Domain Adaptation

Combined Dynamic Virtual Spatiotemporal Graph Mapping for Traffic

Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning
  with Linear Function Approximation

Optimal Weight Adaptation of Model Predictive Control for Connected and
  Automated Vehicles in Mixed Traffic with Bayesian Optimization

NAS-based Recursive Stage Partial Network (RSPNet) for Light-Weight

Spectral2Spectral: Image-spectral Similarity Assisted Spectral CT Deep
  Reconstruction without Reference

Interpreting convolutional neural networks' low dimensional
  approximation to quantum spin systems

Taming Fat-Tailed ("Heavier-Tailed'' with Potentially Infinite Variance)
  Noise in Federated Learning

High Probability Convergence for Accelerated Stochastic Mirror Descent

Multi-view information fusion using multi-view variational autoencoders
  to predict proximal femoral strength

Deep Learning for Wireless Networked Systems: a joint
  Estimation-Control-Scheduling Approach

$β$-Stochastic Sign SGD: A Byzantine Resilient and Differentially
  Private Gradient Compressor for Federated Learning

Automatic Neural Network Hyperparameter Optimization for Extrapolation:
  Lessons Learned from Visible and Near-Infrared Spectroscopy of Mango Fruit

IntrinsicNeRF: Learning Intrinsic Neural Radiance Fields for Editable
  Novel View Synthesis

Pixel-global Self-supervised Learning with Uncertainty-aware Context
  Stabilizer

A deep learning approach for focal-plane wavefront sensing using vortex
  phase diversity

Inability of a graph neural network heuristic to outperform greedy
  algorithms in solving combinatorial optimization problems like Max-Cut

The boundaries of meaning: a case study in neural machine translation

SAGDA: Achieving $\mathcal{O}(ε^{-2})$ Communication Complexity
  in Federated Min-Max Learning

Safe Reinforcement Learning From Pixels Using a Stochastic Latent

Quark: A Gradient-Free Quantum Learning Framework for Classification
  Tasks

Ensembling improves stability and power of feature selection for deep

Deep learning for track recognition in pixel and strip-based particle
  detectors

Composition of Differential Privacy & Privacy Amplification by
  Subsampling

Policy Gradients for Probabilistic Constrained Reinforcement Learning

Community Learning: Understanding A Community Through NLP for Positive
  Impact

Uncertainty estimations methods for a deep learning model to aid in
  clinical decision-making -- a clinician's perspective

FLCert: Provably Secure Federated Learning against Poisoning Attacks

The Dynamic of Consensus in Deep Networks and the Identification of
  Noisy Labels

Large-scale machine-learning-assisted exploration of the whole materials
  space

Deep Invertible Approximation of Topologically Rich Maps between
  Manifolds

AI-Assisted Discovery of Quantitative and Formal Models in Social
  Science

RISC-V Toolchain and Agile Development based Open-source Neuromorphic
  Processor

Adaptive Smoothness-weighted Adversarial Training for Multiple
  Perturbations with Its Stability Analysis

Gradient-tracking based Distributed Optimization with Guaranteed
  Optimality under Noisy Information Sharing

Siamese-NAS: Using Trained Samples Efficiently to Find Lightweight
  Neural Architecture by Prior Knowledge

Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation

Comparison of Data Representations and Machine Learning Architectures
  for User Identification on Arbitrary Motion Sequences

Leveraging unsupervised data and domain adaptation for deep regression
  in low-cost sensor calibration

High Precision Differentiation Techniques for Data-Driven Solution of
  Nonlinear PDEs by Physics-Informed Neural Networks

Neural Implicit Surface Reconstruction from Noisy Camera Observations

Deep-OCTA: Ensemble Deep Learning Approaches for Diabetic Retinopathy
  Analysis on OCTA Images

Fast and Robust Video-Based Exercise Classification via Body Pose
  Tracking and Scalable Multivariate Time Series Classifiers

Loc-VAE: Learning Structurally Localized Representation from 3D Brain MR
  Images for Content-Based Image Retrieval

EUCLID: Towards Efficient Unsupervised Reinforcement Learning with
  Multi-choice Dynamics Model

Approximate Computing and the Efficient Machine Learning Expedition

pMPL: A Robust Multi-Party Learning Framework with a Privileged Party

Learning Algorithm Generalization Error Bounds via Auxiliary

Compositional Generalization in Unsupervised Compositional
  Representation Learning: A Study on Disentanglement and Emergent Language

Robust Bayesian optimization with reinforcement learned acquisition
  functions

Saving the Limping: Fault-tolerant Quadruped Locomotion via

Wireless Semantic Transmission via Revising Modules in Conventional
  Communications

VFLens: Co-design the Modeling Process for Efficient Vertical Federated
  Learning via Visualization

Improved Stein Variational Gradient Descent with Importance Weights

GaIA: Graphical Information Gain based Attention Network for Weakly
  Supervised Point Cloud Semantic Segmentation

Citation Trajectory Prediction via Publication Influence Representation
  Using Temporal Knowledge Graph

Grouped self-attention mechanism for a memory-efficient Transformer

Music-to-Text Synaesthesia: Generating Descriptive Text from Music
  Recordings

Understanding Adversarial Robustness Against On-manifold Adversarial
  Examples

Stochastic optimization on matrices and a graphon McKean-Vlasov limit

Subspace Learning for Feature Selection via Rank Revealing QR
  Factorization: Unsupervised and Hybrid Approaches with Non-negative Matrix
  Factorization and Evolutionary Algorithm

Voice Spoofing Countermeasures: Taxonomy, State-of-the-art, experimental
  analysis of generalizability, open challenges, and the way forward

Metric Distribution to Vector: Constructing Data Representation via
  Broad-Scale Discrepancies

Supervised Parameter Estimation of Neuron Populations from Multiple
  Firing Events

Unsupervised Vision and Vision-motion Calibration Strategies for
  PointGoal Navigation in Indoor Environment

Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening
  Problem

PCONet: A Convolutional Neural Network Architecture to Detect Polycystic
  Ovary Syndrome (PCOS) from Ovarian Ultrasound Images

Reliability-Aware Deployment of DNNs on In-Memory Analog Computing
  Architectures

Systematic Generalization and Emergent Structures in Transformers
  Trained on Structured Tasks

Convolutional Neural Networks on Manifolds: From Graphs and Back

Parameter-varying neural ordinary differential equations with
  partition-of-unity networks

Efficient Solutions of Fermionic Systems using Artificial Neural
  Networks

Detecting Irregular Network Activity with Adversarial Learning and
  Expert Feedback

DCI-ES: An Extended Disentanglement Framework with Connections to
  Identifiability

Counter-Adversarial Learning with Inverse Unscented Kalman Filter

Social and environmental impact of recent developments in machine
  learning on biology and chemistry research

Model-Free Sequential Testing for Conditional Independence via Testing
  by Betting

Zero-Shot Policy Transfer with Disentangled Task Representation of

Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis
  Function Decomposition

Identifying Selections Operating on HIV-1 Reverse Transcriptase via
  Uniform Manifold Approximation and Projection

Speed Up the Cold-Start Learning in Two-Sided Bandits with Many Arms

Uncertainty-aware predictions of molecular X-ray absorption spectra
  using neural network ensembles

On the Automated Detection of Corneal Edema with Second Harmonic
  Generation Microscopy and Deep Learning

Deep Recurrent Q-learning for Energy-constrained Coverage with a Mobile
  Robot

Privacy-preserving Decentralized Federated Learning over Time-varying
  Communication Graph

MALM: Mixing Augmented Language Modeling for Zero-Shot Machine

PathFinder: Discovering Decision Pathways in Deep Neural Networks

Implementation of a Three-class Classification LS-SVM Model for the
  Hybrid Antenna Array with Bowtie Elements in the Adaptive Beamforming
  Application

CAST: Concurrent Recognition and Segmentation with Adaptive Segment
  Tokens

CRISP: Curriculum based Sequential Neural Decoders for Polar Code Family

Clustering for directed graphs using parametrized random walk diffusion
  kernels

PromptKG: A Prompt Learning Framework for Knowledge Graph Representation
  Learning and Application

Federated Representation Learning via Maximal Coding Rate Reduction

An Ensemble of Convolutional Neural Networks to Detect Foliar Diseases
  in Apple Plants

Gait-based Age Group Classification with Adaptive Graph Neural Network

DeltaBound Attack: Efficient decision-based attack in low queries regime

High Q-Factor Silicon Nitride Nanomechanical Resonators Fabricated by
  Maskless Femtosecond Laser Micro-machining

NeuroEvo: A Cloud-based Platform for Automated Design and Training of
  Neural Networks using Evolutionary and Particle Swarm Algorithms

Swift Markov Logic for Probabilistic Reasoning on Knowledge Graphs

Construction and Evaluation of a Self-Attention Model for Semantic
  Understanding of Sentence-Final Particles

Offline Handwritten Amharic Character Recognition Using Few-shot
  Learning

FINDE: Neural Differential Equations for Finding and Preserving
  Invariant Quantities

ML for Location Prediction Using RSSI On WiFi 2.4 GHZ Frequency Band

Solar Power Time Series Forecasting Utilising Wavelet Coefficients

Joint Mobility Control and MEC Offloading for Hybrid
  Satellite-Terrestrial-Network-Enabled Robots

Primal-dual regression approach for Markov decision processes with
  general state and action space

Cascaded Multi-Modal Mixing Transformers for Alzheimer's Disease
  Classification with Incomplete Data

Cross Task Neural Architecture Search for EEG Signal Classifications

On The Relative Error of Random Fourier Features for Preserving Kernel
  Distance

Learnable Distribution Calibration for Few-Shot Class-Incremental
  Learning

T2CI-GAN: Text to Compressed Image generation using Generative
  Adversarial Network

Attention Augmented ConvNeXt UNet For Rectal Tumour Segmentation

Towards Understanding and Mitigating Dimensional Collapse in

Solving practical multi-body dynamics problems using a single neural
  operator

A Dual-Attention Learning Network with Word and Sentence Embedding for
  Medical Visual Question Answering

Differentiable Parsing and Visual Grounding of Verbal Instructions for
  Object Placement

Boosting Exploration in Actor-Critic Algorithms by Incentivizing
  Plausible Novel States

Learning-Based Adaptive Optimal Control of Linear Time-Delay Systems: A
  Policy Iteration Approach

Hierarchical Neyman-Pearson Classification for Prioritizing Severe
  Disease Categories in COVID-19 Patient Data

Integrating Conventional Headway Control with Reinforcement Learning to
  Avoid Bus Bunching

STGIN: A Spatial Temporal Graph-Informer Network for Long Sequence
  Traffic Speed Forecasting

Cut-Paste Consistency Learning for Semi-Supervised Lesion Segmentation

A new nonparametric interpoint distance-based measure for assessment of
  clustering

Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple
  Tasks

Latent Hierarchical Causal Structure Discovery with Rank Constraints

On the tightness of linear relaxation based robustness certification
  methods

A Combinatorial Perspective on the Optimization of Shallow ReLU Networks

Technical Report-IoT Devices Proximity Authentication In Ad Hoc Network
  Environment

Improving ProtoNet for Few-Shot Video Object Recognition: Winner of
  ORBIT Challenge 2022

Multi-stage Progressive Compression of Conformer Transducer for
  On-device Speech Recognition

Automated segmentation of microvessels in intravascular OCT images using
  deep learning

Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph

Deconstructing experimental decay energy spectra: the $^{26}$O case

Multi-objective Deep Data Generation with Correlated Property Control

Probabilistic Traversability Model for Risk-Aware Motion Planning in
  Off-Road Environments

Efficiently Learning Small Policies for Locomotion and Manipulation

School closures and educational path: how the Covid-19 pandemic affected
  transitions to college

Deep Learning Classification of Touch Gestures Using Distributed Normal
  and Shear Force

Alignment-guided Temporal Attention for Video Action Recognition

Exploiting Selection Bias on Underspecified Tasks in Large Language
  Models

Midas: A Multi-Joint Robotics Simulator with Intersection-Free
  Frictional Contact

Adversarial Robustness of Representation Learning for Knowledge Graphs

NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning

Predicting Cellular Responses with Variational Causal Inference and
  Refined Relational Information

FAIR for AI: An interdisciplinary, international, inclusive, and diverse
  community building perspective

ImpNet: Imperceptible and blackbox-undetectable backdoors in compiled
  neural networks

MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP
  Initialization

Aeroacoustic airfoil shape optimization enhanced by autoencoders

Image-Based Detection of Modifications in Gas Pump PCBs with Deep
  Convolutional Autoencoders

Adaptive Weight Decay: On The Fly Weight Decay Tuning for Improving
  Robustness

Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation
  in Machine Learning

Federated Training of Dual Encoding Models on Small Non-IID Client
  Datasets

Data-driven discovery of non-Newtonian astronomy via learning
  non-Euclidean Hamiltonian

A Multi-label Time Series Classification Approach for Non-intrusive
  Water End-Use Monitoring

Causal Estimation for Text Data with (Apparent) Overlap Violations

E-Branchformer: Branchformer with Enhanced merging for speech

Leveraging Industry 4.0 -- Deep Learning, Surrogate Model and Transfer
  Learning with Uncertainty Quantification Incorporated into Digital Twin for
  Nuclear System

Digital Twin and Artificial Intelligence Incorporated With Surrogate
  Modeling for Hybrid and Sustainable Energy Systems

BayesFT: Bayesian Optimization for Fault Tolerant Neural Network
  Architecture

Multi-Task Option Learning and Discovery for Stochastic Path Planning

Application of Deep Q Learning with Stimulation Results for Elevator

DecAF: Joint Decoding of Answers and Logical Forms for Question
  Answering over Knowledge Bases

FedTrees: A Novel Computation-Communication Efficient Federated Learning
  Framework Investigated in Smart Grids

MaskTune: Mitigating Spurious Correlations by Forcing to Explore

Kernel Normalized Convolutional Networks for Privacy-Preserving Machine
  Learning

Task Formulation Matters When Learning Continually: A Case Study in
  Visual Question Answering

Blockchain-based Monitoring for Poison Attack Detection in Decentralized

Search for new heavy resonances decaying to WW, WZ, ZZ, WH, or ZH boson
  pairs in the all-jets final state in proton-proton collisions at $\sqrt{s}$ =
  13 TeV

Direct Estimation of Porosity from Seismic Data using Rock and Wave
  Physics Informed Neural Networks (RW-PINN)

Communication-Enabled Multi-Agent Decentralised Deep Reinforcement
  Learning to Optimise Energy-Efficiency in UAV-Assisted Networks

Multimodality Multi-Lead ECG Arrhythmia Classification using
  Self-Supervised Learning

Differentially Private Optimization on Large Model at Small Cost

Evaluate & Evaluation on the Hub: Better Best Practices for Data and
  Model Measurements

Differentially Private Bias-Term only Fine-tuning of Foundation Models

Neural Causal Models for Counterfactual Identification and Estimation

Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs

VIP: Towards Universal Visual Reward and Representation via
  Value-Implicit Pre-Training

Artificial Replay: A Meta-Algorithm for Harnessing Historical Data in
  Bandits

Improving 3D-aware Image Synthesis with A Geometry-aware Discriminator

Vertical Semi-Federated Learning for Efficient Online Advertising

A General Framework for Sample-Efficient Function Approximation in

ExtrudeNet: Unsupervised Inverse Sketch-and-Extrude for Shape Parsing

B2RL: An open-source Dataset for Building Batch Reinforcement Learning

Finding NEEMo: Geometric Fitting using Neural Estimation of the Energy
  Mover's Distance

Neural Unbalanced Optimal Transport via Cycle-Consistent Semi-Couplings

Beyond Bayes-optimality: meta-learning what you know you don't know

$Φ$-DVAE: Learning Physically Interpretable Representations with
  Nonlinear Filtering

MEIM: Multi-partition Embedding Interaction Beyond Block Term Format for
  Efficient and Expressive Link Prediction

Individual Privacy Accounting with Gaussian Differential Privacy

Rethinking Data Heterogeneity in Federated Learning: Introducing a New
  Notion and Standard Benchmarks

Self-Stabilization: The Implicit Bias of Gradient Descent at the Edge of
  Stability

Where Should I Spend My FLOPS? Efficiency Evaluations of Visual
  Pre-training Methods

New Metric Formulas that Include Measurement Errors in Machine Learning
  for Natural Sciences

Physically Meaningful Uncertainty Quantification in Probabilistic Wind
  Turbine Power Curve Models as a Damage Sensitive Feature

Match to Win: Analysing Sequences Lengths for Efficient Self-supervised
  Learning in Speech and Audio

A Sequence-Aware Recommendation Method Based on Complex Networks

Fault Prognosis in Particle Accelerator Power Electronics Using Ensemble
  Learning

Holographic-(V)AE: an end-to-end SO(3)-Equivariant (Variational)
  Autoencoder in Fourier Space

On the optimization and generalization of overparameterized implicit

Designing and Training of Lightweight Neural Networks on Edge Devices
  using Early Halting in Knowledge Distillation

Out-of-Distribution Detection and Selective Generation for Conditional

Explaining Hierarchical Features in Dynamic Point Cloud Processing

Bayesian Neural Networks for Geothermal Resource Assessment: Prediction
  with Uncertainty

Riemannian geometry as a unifying theory for robot motion learning and
  control

Spike-based local synaptic plasticity: A survey of computational models
  and neuromorphic circuits

Momentum Tracking: Momentum Acceleration for Decentralized Deep Learning
  on Heterogeneous Data

NLP-based classification of software tools for metagenomics sequencing
  data analysis into EDAM semantic annotation

A Closer Look at Temporal Ordering in the Segmentation of Instructional
  Videos

Using Knowledge Distillation to improve interpretable models in a retail
  banking context

Disentangling with Biological Constraints: A Theory of Functional Cell
  Types

Learning Second Order Local Anomaly for General Face Forgery Detection

Graph Neural Networks for Link Prediction with Subgraph Sketching

On The Robustness of Self-Supervised Representations for Spoken Language
  Modeling

Two-headed eye-segmentation approach for biometric identification

Melanoma Skin Cancer and Nevus Mole Classification using Intensity Value
  Estimation with Convolutional Neural Network

GPNet: Simplifying Graph Neural Networks via Multi-channel Geometric

Safe Exploration Method for Reinforcement Learning under Existence of
  Disturbance

Semi-Supervised Domain Generalization for Cardiac Magnetic Resonance
  Image Segmentation with High Quality Pseudo Labels

Explainable Censored Learning: Finding Critical Features with Long Term
  Prognostic Values for Survival Prediction

End-to-End Label Uncertainty Modeling in Speech Emotion Recognition
  using Bayesian Neural Networks and Label Distribution Learning

Fast Topological Signal Identification and Persistent Cohomological
  Cycle Matching

Liquid Crystals as Multifunctional Interfaces for Trapping and
  Characterizing Microplastics

Empowering the trustworthiness of ML-based critical systems through
  engineering activities

Relative representations enable zero-shot latent space communication

PyPose: A Library for Robot Learning with Physics-based Optimization

Higher-order Neural Additive Models: An Interpretable Machine Learning
  Model with Feature Interactions

An information-theoretic approach to unsupervised keypoint
  representation learning

Rethinking the Learning Paradigm for Facial Expression Recognition

Parea: multi-view ensemble clustering for cancer subtype discovery

Evaluation of importance estimators in deep learning classifiers for
  Computed Tomography

Programmable Control of Ultrasound Swarmbots through Reinforcement
  Learning

Semi-Supervised Single-View 3D Reconstruction via Prototype Shape Priors

Linear Convergence for Natural Policy Gradient with Log-linear Policy
  Parametrization

A Novel Explainable Out-of-Distribution Detection Approach for Spiking

Improve learning combining crowdsourced labels by weighting Areas Under
  the Margin

DELAD: Deep Landweber-guided deconvolution with Hessian and sparse prior

On Best-Arm Identification with a Fixed Budget in Non-Parametric
  Multi-Armed Bandits

Efficient computation of the Knowledge Gradient for Bayesian

Robust $Q$-learning Algorithm for Markov Decision Processes under
  Wasserstein Uncertainty

Emergent Communication: Generalization and Overfitting in Lewis Games

A Learnable Optimization and Regularization Approach to Massive MIMO CSI
  Feedback

AdaComm: Tracing Channel Dynamics for Reliable Cross-Technology

Towards a Fully Autonomous UAV Controller for Moving Platform Detection
  and Landing

Sparse Random Networks for Communication-Efficient Federated Learning

SmallCap: Lightweight Image Captioning Prompted with Retrieval

Leveraging variational autoencoders for multiple data imputation

Observational Robustness and Invariances in Reinforcement Learning via
  Lexicographic Objectives

Metro: Memory-Enhanced Transformer for Retrosynthetic Planning via
  Reaction Tree

Did You Get What You Paid For? Rethinking Annotation Cost of Deep
  Learning Based Computer Aided Detection in Chest Radiographs

Proportionally Fair Online Allocation of Public Goods with Predictions

Raman Spectra of Titanium Carbide MXene from Machine-Learning Force
  Field Molecular Dynamics

The Minority Matters: A Diversity-Promoting Collaborative Metric
  Learning Algorithm

QUAK: A Synthetic Quality Estimation Dataset for Korean-English Neural

Diffusive limit approximation of pure jump optimal ergodic control
  problems

Learning Transferable Spatiotemporal Representations from Natural Script
  Knowledge

ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text

Overparameterized ReLU Neural Networks Learn the Simplest Models: Neural
  Isometry and Exact Recovery

Diffusion-based Image Translation using Disentangled Style and Content

Minimalistic Unsupervised Learning with the Sparse Manifold Transform

Energy Efficient Hardware Acceleration of Neural Networks with
  Power-of-Two Quantisation

Mind Reader: Reconstructing complex images from brain activities

S2P: State-conditioned Image Synthesis for Data Augmentation in Offline

Experts in the Loop: Conditional Variable Selection for Accelerating
  Post-Silicon Analysis Based on Deep Learning

Hyperspectral and LiDAR data for the prediction via machine learning of
  tree species, volume and biomass: a possible contribution for updating forest
  management plans

Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated
  Learning via Class-Imbalance Reduction

Efficient Graph based Recommender System with Weighted Averaging of
  Messages

Language-Family Adapters for Multilingual Neural Machine Translation

Unsupervised Multi-task and Transfer Learning on Gaussian Mixture Models

The Role of Time Delay in Sim2real Transfer of Reinforcement Learning
  for Cyber-Physical Systems

Model error and its estimation, with particular application to loss
  reserving

Multi-Prompt Alignment for Multi-source Unsupervised Domain Adaptation

Scale-invariant Bayesian Neural Networks with Connectivity Tangent
  Kernel

Mixture of experts models for multilevel data: modelling framework and
  approximation theory

What Makes Pre-trained Language Models Better Zero/Few-shot Learners?

An efficient encoder-decoder architecture with top-down attention for
  speech separation

Evaluation of taxonomic and neural embedding methods for calculating
  semantic similarity

Leveraging Probabilistic Switching in Superparamagnets for Temporal
  Information Encoding in Neuromorphic Systems

An Interactive Interpretability System for Breast Cancer Screening with

RL-MD: A Novel Reinforcement Learning Approach for DNA Motif Discovery

Adaptive Sparse and Monotonic Attention for Transformer-based Automatic

Dynamic-Backbone Protein-Ligand Structure Prediction with Multiscale
  Generative Diffusion Models

Depth-Wise Attention (DWAtt): A Layer Fusion Method for Data-Efficient

An empirical study of weakly supervised audio tagging embeddings for
  general audio representations

Distilling Style from Image Pairs for Global Forward and Inverse Tone
  Mapping

Blur the Linguistic Boundary: Interpreting Chinese Buddhist Sutra in
  English via Neural Machine Translation

MobileViTv3: Mobile-Friendly Vision Transformer with Simple and
  Effective Fusion of Local, Global and Input Features

MonoNeuralFusion: Online Monocular Neural 3D Reconstruction with
  Geometric Priors

Embedded System Performance Analysis for Implementing a Portable
  Drowsiness Detection System for Drivers

Ensemble Machine Learning Model Trained on a New Synthesized Dataset
  Generalizes Well for Stress Prediction Using Wearable Devices

On Convergence of Average-Reward Off-Policy Control Algorithms in Weakly
  Communicating MDPs

Machine Learning for Stress Monitoring from Wearable Devices: A
  Systematic Literature Review

Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20$\times$
  Speedup

Learning an Efficient Terrain Representation for Haptic Localization of
  a Legged Robot

Modeling driver's evasive behavior during safety-critical lane
  changes:Two-dimensional time-to-collision and deep reinforcement learning

Nonconvex Matrix Factorization is Geodesically Convex: Global Landscape
  Analysis for Fixed-rank Matrix Optimization From a Riemannian Perspective

Structured Optimal Variational Inference for Dynamic Latent Space Models

Machine-learning classification of astronomical sources: estimating
  F1-score in the absence of ground truth

ConceptNet infused DialoGPT for Underlying Commonsense Understanding and
  Reasoning in Dialogue Response Generation

How to tackle an emerging topic? Combining strong and weak labels for
  Covid news NER

Restricted Strong Convexity of Deep Learning Models with Smooth
  Activations

OAK4XAI: Model towards Out-Of-Box eXplainable Artificial Intelligence
  for Digital Agriculture

Improving Molecular Pretraining with Complementary Featurizations

Likelihood adjusted semidefinite programs for clustering heterogeneous
  data

Open-source tool for Airway Segmentation in Computed Tomography using
  2.5D Modified EfficientDet: Contribution to the ATM22 Challenge

Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement
  Learning in Unknown Stochastic Environments

I Speak, You Verify: Toward Trustworthy Neural Program Synthesis

Zero-shot visual reasoning through probabilistic analogical mapping

Cardiotocography Signal Abnormality Detection based on Deep Unsupervised
  Models

Online Weighted Q-Ensembles for Reduced Hyperparameter Tuning in

3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical
  Transformer for Medical Image Segmentation

A Benchmark Comparison of Imitation Learning-based Control Policies for
  Autonomous Racing

Graph Attention Network for Camera Relocalization on Dynamic Scenes

Implicit Bias of Large Depth Networks: a Notion of Rank for Nonlinear
  Functions

Start Small: Training Game Level Generators from Nothing by Learning at
  Multiple Sizes

Predicting CO$_2$ Absorption in Ionic Liquids with Molecular Descriptors
  and Explainable Graph Neural Networks

Generalizability of Adversarial Robustness Under Distribution Shifts

Large-Scale Spatial Cross-Calibration of Hinode/SOT-SP and SDO/HMI

Guided Unsupervised Learning by Subaperture Decomposition for Ocean SAR
  Image Retrieval

Understanding Collapse in Non-Contrastive Siamese Representation
  Learning

Optimistic MLE -- A Generic Model-based Algorithm for Partially
  Observable Sequential Decision Making

Partially Observable RL with B-Stability: Unified Structural Condition
  and Sharp Sample-Efficient Algorithms

No Free Lunch in "Privacy for Free: How does Dataset Condensation Help
  Privacy"

Continuity of Cost in Borkar Control Topology and Implications on
  Discrete Space and Time Approximations for Controlled Diffusions under
  Several Criteria

Stop Wasting My Time! Saving Days of ImageNet and BERT Training with
  Latest Weight Averaging

Enumeration of max-pooling responses with generalized permutohedra

Causal Inference via Nonlinear Variable Decorrelation for Healthcare

Search for Cosmic-ray Boosted Sub-GeV Dark Matter using Recoil Protons
  at Super-Kamiokande

Statistical Learning and Inverse Problems: An Stochastic Gradient
  Approach

Controlling and scripting laboratory hardware with open-source,
  intuitive interfaces: OpenFlexure Voice Control and OpenFlexure Blockly

EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual and
  Language Learning

Reinforcement Learning Algorithms: An Overview and Classification

NAG-GS: Semi-Implicit, Accelerated and Robust Stochastic Optimizers

Contrastive Unsupervised Learning of World Model with Invariant Causal
  Features

Graph Anomaly Detection with Graph Neural Networks: Current Status and

Spotlight: Mobile UI Understanding using Vision-Language Models with a
  Focus

GDIP: Gated Differentiable Image Processing for Object-Detection in
  Adverse Conditions

IvySyn: Automated Vulnerability Discovery for Deep Learning Frameworks

Evaluating the temporal understanding of neural networks on event-based
  action recognition with DVS-Gesture-Chain

Patients' Severity States Classification based on Electronic Health
  Record (EHR) Data using Multiple Machine Learning and Deep Learning

Variance Covariance Regularization Enforces Pairwise Independence in
  Self-Supervised Representations

Joint Optimization of Energy Consumption and Completion Time in

Blessing from Experts: Super Reinforcement Learning in Confounded

Reinforcement-learning-based actuator selection method for active flow
  control

Towards General-Purpose Representation Learning of Polygonal Geometries

Learning Low-Frequency Motion Control for Robust and Dynamic Robot
  Locomotion

Repairing Bugs in Python Assignments Using Large Language Models

Accelerating Laboratory Automation Through Robot Skill Learning For
  Sample Scraping

Accurate Long-term Air Temperature Prediction with a Fusion of
  Artificial Intelligence and Data Reduction Techniques

Accurate global machine learning force fields for molecules with
  hundreds of atoms

Neural Networks Efficiently Learn Low-Dimensional Representations with
  SGD

4D-StOP: Panoptic Segmentation of 4D LiDAR using Spatio-temporal Object
  Proposal Generation and Aggregation

Continuous PDE Dynamics Forecasting with Implicit Neural Representations

META-STORM: Generalized Fully-Adaptive Variance Reduced SGD for
  Unbounded Functions

Modeling High-Dimensional Matrix-Variate Observations by Tensor
  Factorization

Access Control with Encrypted Feature Maps for Object Detection Models

Lightweight Monocular Depth Estimation with an Edge Guided Network

Denoising Diffusion Probabilistic Models for Styled Walking Synthesis

On the Convergence of AdaGrad on $\R^{d}$: Beyond Convexity,
  Non-Asymptotic Rate and Acceleration

Towards Lightweight Black-Box Attacks against Deep Neural Networks

Trading off Quality for Efficiency of Community Detection: An Inductive
  Method across Graphs

SymmNeRF: Learning to Explore Symmetry Prior for Single-View View
  Synthesis

Deep learning and multi-level featurization of graph representations of
  microstructural data

polyBERT: A chemical language model to enable fully machine-driven
  ultrafast polymer informatics

FarNet-II: An improved solar far-side active region detection method

Training β-VAE by Aggregating a Learned Gaussian Posterior with a
  Decoupled Decoder

A case study of spatiotemporal forecasting techniques for weather

Learning Parsimonious Dynamics for Generalization in Reinforcement
  Learning

Perturbations and Subpopulations for Testing Robustness in Token-Based
  Argument Unit Recognition

Real-Time Scheduling of Machine Learning Operations on Heterogeneous
  Neuromorphic SoC

RECALL: Rehearsal-free Continual Learning for Object Classification

An Ontology for Defect Detection in Metal Additive Manufacturing

R2C-GAN: Restore-to-Classify GANs for Blind X-Ray Restoration and
  COVID-19 Classification

Model Zoos: A Dataset of Diverse Populations of Neural Network Models

Anomaly localization for copy detection patterns through print
  estimations

A Multi-Agent Framework for the Asynchronous and Collaborative Extension
  of Multitask ML Systems

Dataset Complexity Assessment Based on Cumulative Maximum Scaled Area
  Under Laplacian Spectrum

Learning Gradient-based Mixup towards Flatter Minima for Domain

Hyper-Representations as Generative Models: Sampling Unseen Neural
  Network Weights

FastPacket: Towards Pre-trained Packets Embedding based on FastText for
  next-generation NIDS

TruEyes: Utilizing Microtasks in Mobile Apps for Crowdsourced Labeling
  of Machine Learning Datasets

GROOT: Corrective Reward Optimization for Generative Sequential Labeling

A canonical correlation-based framework for performance analysis of
  radio access networks

A Recommendation Approach based on Similarity-Popularity Models of
  Complex Networks

Chameleon Cache: Approximating Fully Associative Caches with Random
  Replacement to Prevent Contention-Based Cache Attacks

Towards Equalised Odds as Fairness Metric in Academic Performance

Domain-aware Self-supervised Pre-training for Label-Efficient Meme
  Analysis

Correlated Feature Aggregation by Region Helps Distinguish Aggressive
  from Indolent Clear Cell Renal Cell Carcinoma Subtypes on CT

Increasing Model Generalizability for Unsupervised Domain Adaptation

Tensor-Based Sketching Method for the Low-Rank Approximation of Data
  Streams

Compressed Gastric Image Generation Based on Soft-Label Dataset
  Distillation for Medical Data Sharing

Working With Convex Responses: Antifragility From Finance to Oncology

Is Complexity Required for Neural Network Pruning? A Case Study on
  Global Magnitude Pruning

Dynamic Prompt Learning via Policy Gradient for Semi-structured
  Mathematical Reasoning

Spherical Image Inpainting with Frame Transformation and Data-driven
  Prior Deep Networks

Exploring Cross-Point Embeddings for 3D Dense Uncertainty Estimation

Accurate, reliable and interpretable solubility prediction of druglike
  molecules with attention pooling and Bayesian learning

Online pseudo labeling for polyp segmentation with momentum networks

Dynamic Surrogate Switching: Sample-Efficient Search for Factorization
  Machine Configurations in Online Recommendations

Evaluation of physics constrained data-driven methods for turbulence
  model uncertainty quantification

Bayesian Neural Network Versus Ex-Post Calibration For Prediction
  Uncertainty

Denoising MCMC for Accelerating Diffusion-Based Generative Models

Rectified Flow: A Marginal Preserving Approach to Optimal Transport

COLO: A Contrastive Learning based Re-ranking Framework for One-Stage

Rethinking Counterfactual Explanations as Local and Regional
  Counterfactual Policies

Diffusion Adversarial Representation Learning for Self-supervised Vessel

Quantum neuromorphic approach to efficient sensing of gravity-induced
  entanglement

Regularizing Neural Network Training via Identity-wise Discriminative
  Feature Suppression

Quaternion-based machine learning on topological quantum systems

Offline Reinforcement Learning via High-Fidelity Generative Behavior
  Modeling

A Secure Federated Learning Framework for Residential Short Term Load

NAF: Neural Attenuation Fields for Sparse-View CBCT Reconstruction

Feature Selection via the Intervened Interpolative Decomposition and its
  Application in Diversifying Quantitative Strategies

Motion and Appearance Adaptation for Cross-Domain Motion Transfer

PrivMVMF: Privacy-Preserving Multi-View Matrix Factorization for
  Recommender Systems

Self-Configurable Stabilized Real-Time Detection Learning for Autonomous
  Driving Applications

Label driven Knowledge Distillation for Federated Learning with non-IID
  Data

How Does Value Distribution in Distributional Reinforcement Learning
  Help Optimization?

On Quantum Speedups for Nonconvex Optimization via Quantum Tunneling
  Walks

NVRadarNet: Real-Time Radar Obstacle and Free Space Detection for
  Autonomous Driving

Teaching Where to Look: Attention Similarity Knowledge Distillation for
  Low Resolution Face Recognition

Reconstruction of event kinematics in semi-inclusive deep-inelastic
  scattering using the hadronic final state and Machine Learning

Hierarchical Training of Deep Ensemble Policies for Reinforcement
  Learning in Continuous Spaces

Semantics-Guided Object Removal for Facial Images: with Broad
  Applicability and Robust Style Preservation

Intrinsic Dimensionality Estimation within Tight Localities: A
  Theoretical and Experimental Analysis

medigan: A Python Library of Pretrained Generative Models for Enriched
  Data Access in Medical Imaging

Constrained Dynamic Movement Primitives for Safe Learning of Motor
  Skills

The Chamber Ensemble Generator: Limitless High-Quality MIR Data via
  Generative Modeling

Machine Learning for Optical Motion Capture-driven Musculoskeletal
  Modeling from Inertial Motion Capture Data

CompNet: A Designated Model to Handle Combinations of Images and
  Designed features

Parameterized Quantum Circuits with Quantum Kernels for Machine
  Learning: A Hybrid Quantum-Classical Approach

Synthesizing Annotated Image and Video Data Using a Rendering-Based
  Pipeline for Improved License Plate Recognition

Out-of-Distribution Detection for LiDAR-based 3D Object Detection

DeepAdjoint: An All-in-One Photonic Inverse Design Framework Integrating
  Data-Driven Machine Learning with Optimization Algorithms

Increasing the Accuracy of a Neural Network Using Frequency Selective
  Mesh-to-Grid Resampling

Minimax Optimal Kernel Operator Learning via Multilevel Training

Optimistic Posterior Sampling for Reinforcement Learning with Few
  Samples and Tight Guarantees

Masked Multi-Step Multivariate Time Series Forecasting with Future
  Information

Applying Machine Learning for Duplicate Detection, Throttling and
  Prioritization of Equipment Commissioning Audits at Fulfillment Network

RADACS: Towards Higher-Order Reasoning using Action Recognition in
  Autonomous Vehicles

Biological connectomes as a representation for the architecture of
  artificial neural networks

A novel Machine-Learning method for spin classification of neutron
  resonances

FIRE: A Failure-Adaptive Reinforcement Learning Framework for Edge
  Computing Migrations

Neighborhood Gradient Clustering: An Efficient Decentralized Learning
  Method for Non-IID Data Distributions

Feature Decoupling in Self-supervised Representation Learning for Open
  Set Recognition

Assessing Coarse-to-Fine Deep Learning Models for Optic Disc and Cup
  Segmentation in Fundus Images

UNesT: Local Spatial Representation Learning with Hierarchical
  Transformer for Efficient Medical Segmentation

Improving alignment of dialogue agents via targeted human judgements

Semantic Segmentation of Vegetation in Remote Sensing Imagery Using Deep
  Learning

Happy or grumpy? A Machine Learning Approach to Analyze the Sentiment of
  Airline Passengers' Tweets

Audio Barlow Twins: Self-Supervised Audio Representation Learning

Pareto Actor-Critic for Equilibrium Selection in Multi-Agent

Scalably learning quantum many-body Hamiltonians from dynamical data

Extracting Wilson loop operators and fractional statistics from a single
  bulk ground state

DexTransfer: Real World Multi-fingered Dexterous Grasping with Minimal
  Human Demonstrations

Deep Learning-Based Dose Prediction for Automated, Individualized
  Quality Assurance of Head and Neck Radiotherapy Plans

Multimodal Prediction of Spontaneous Humour: A Novel Dataset and First
  Results

On the Generalization of Deep Reinforcement Learning Methods in the
  Problem of Local Navigation

Less is More: Rethinking Few-Shot Learning and Recurrent Neural Nets

360FusionNeRF: Panoramic Neural Radiance Fields with Joint Guidance

A Multi-scale Graph Signature for Persistence Diagrams based on Return
  Probabilities of Random Walks

Focused Adaptation of Dynamics Models for Deformable Object Manipulation

A Closer Look at Evaluating the Bit-Flip Attack Against Deep Neural
  Networks

Obstacle Identification and Ellipsoidal Decomposition for Fast Motion
  Planning in Unknown Dynamic Environments

Process-guidance improves predictive performance of neural networks for
  carbon turnover in ecosystems

Radio source-component association for the LOFAR Two-metre Sky Survey
  with region-based convolutional neural networks

DMAP: a Distributed Morphological Attention Policy for Learning to
  Locomote with a Changing Body

Longitudinal Variability Analysis on Low-dose Abdominal CT with Deep
  Learning-based Segmentation

Automated Quality Controlled Analysis of 2D Phase Contrast
  Cardiovascular Magnetic Resonance Imaging

Spatial Pruned Sparse Convolution for Efficient 3D Object Detection

Active Transfer Prototypical Network: An Efficient Labeling Algorithm
  for Time-Series Data

Classical and Quantum Iterative Optimization Algorithms Based on Matrix
  Legendre-Bregman Projections

An Automatic Evaluation of the WMT22 General Machine Translation Task

Programmable and Customized Intelligence for Traffic Steering in 5G
  Networks Using Open RAN Architectures

CALIP: Zero-Shot Enhancement of CLIP with Parameter-free Attention

Near Lossless Time Series Data Compression Methods using Statistics and
  Deviation

Supervised Contrastive Learning as Multi-Objective Optimization for
  Fine-Tuning Large Pre-trained Language Models

Automatic Analysis of Available Source Code of Top Artificial
  Intelligence Conference Papers

Privacy-Preserving Convex Optimization: When Differential Privacy Meets
  Stochastic Programming

Speech Enhancement Using Self-Supervised Pre-Trained Model and Vector
  Quantization

Mobile Edge Computing, Metaverse, 6G Wireless Communications, Artificial
  Intelligence, and Blockchain: Survey and Their Convergence

From Zero to Production: Baltic-Ukrainian Machine Translation Systems to
  Aid Refugees

Energy Efficient Deployment and Orchestration of Computing Resources at
  the Network Edge: a Survey on Algorithms, Trends and Open Challenges

Algorithm Unfolding for Block-sparse and MMV Problems with Reduced
  Training Overhead

A deep learning approach to the probabilistic numerical solution of
  path-dependent partial differential equations

Towards Automatic Forecasting: Evaluation of Time-Series Forecasting
  Models for Chickenpox Cases Estimation in Hungary

Zero-Shot Retargeting of Learned Quadruped Locomotion Policies Using
  Hybrid Kinodynamic Model Predictive Control

Deep learning for gradient flows using the Brezis-Ekeland principle

Improving ANAIS-112 sensitivity to DAMA/LIBRA signal with machine
  learning techniques

Debiasing Graph Neural Networks via Learning Disentangled Causal
  Substructure

Exploring the Relationship between Architecture and Adversarially Robust

CSSAM: U-net Network for Application and Segmentation of Welding
  Engineering Drawings

First Principles Study of the Electronic Structure of the
  Ni$_2$MnIn/InAs and Ti$_2$MnIn/InSb interfaces

Data Augmentation using Feature Generation for Volumetric Medical Images

Securing Federated Learning against Overwhelming Collusive Attackers

Reinforcement Learning with Tensor Networks: Application to Dynamical
  Large Deviations

Momentum Gradient Descent Federated Learning with Local Differential
  Privacy

PTSD in the Wild: A Video Database for Studying Post-Traumatic Stress
  Disorder Recognition in Unconstrained Environments

Global Weighted Tensor Nuclear Norm for Tensor Robust Principal
  Component Analysis

Non-contrastive approaches to similarity learning: positive examples are
  all you need

Backward Reachability Analysis of Neural Feedback Loops: Techniques for
  Linear and Nonlinear Systems

Effective General-Domain Data Inclusion for the Machine Translation Task
  by Vanilla Transformers

Discussion about Attacks and Defenses for Fair and Robust Recommendation
  System Design

Efficient block contrastive learning via parameter-free meta-node

LL-GNN: Low Latency Graph Neural Networks on FPGAs for Particle
  Detectors

How Far Does the Predictive Decision Impact the Software Project? The
  Cost, Service Time, and Failure Analysis from a Cross-Project Defect

Adma-GAN: Attribute-Driven Memory Augmented GANs for Text-to-Image

Active vs. Passive: A Comparison of Automata Learning Paradigms for
  Network Protocols

Leveraging machine learning for less developed languages: Progress on
  Urdu text detection

Funnel-based Reachability Control of Unknown Nonlinear Systems using

On the Robustness of Ensemble-Based Machine Learning Against Data
  Poisoning

Argumentative Reward Learning: Reasoning About Human Preferences

A Review of Modern Approaches for Coronary Angiography Imaging Analysis

Towards a scalable discrete quantum generative adversarial neural
  network

Ongoing effects of pandemic-imposed learning disruption on student
  attitudes

Toward Certification of Machine-Learning Systems for Low Criticality
  Airborne Applications

Knowledge-aware Neural Networks with Personalized Feature Referencing
  for Cold-start Recommendation

3D Neural Sculpting (3DNS): Editing Neural Signed Distance Functions

Anomaly detection optimization using big data and deep learning to
  reduce false-positive

Machine Beats Machine: Machine Learning Models to Defend Against
  Adversarial Attacks

Big data analysis and distributed deep learning for next-generation
  intrusion detection system optimization

ArNLI: Arabic Natural Language Inference for Entailment and
  Contradiction Detection

Application of Machine Learning to Mechanical Properties of Copper
  Graphene Composites

Multilingual Transitivity and Bidirectional Multilingual Agreement for
  Multilingual Document-level Machine Translation

Explainable classification of astronomical uncertain time series

Experimental study of time series forecasting methods for groundwater
  level prediction

Entangling Practice with Artistic and Educational Aims: Interviews on
  Technology-based Movement Sound Interactions

A simple but strong baseline for online continual learning: Repeated
  Augmented Rehearsal

An Efficient Multitask Learning Architecture for Affective Vocal Burst
  Analysis

Hierarchical MixUp Multi-label Classification with Imbalanced
  Interdisciplinary Research Proposals

SmartMocap: Joint Estimation of Human and Camera Motion using
  Uncalibrated RGB Cameras

MLink: Linking Black-Box Models from Multiple Domains for Collaborative
  Inference

A machine learning based column-and-row generation approach for
  integrated air cargo recovery problem

YATO: Yet Another deep learning based Text analysis Open toolkit

InFi: End-to-End Learning to Filter Input for Resource-Efficiency in
  Mobile-Centric Inference

Unified Loss of Pair Similarity Optimization for Vision-Language
  Retrieval

XR-RF Imaging Enabled by Software-Defined Metasurfaces and Machine
  Learning: Foundational Vision, Technologies and Challenges

Natural Language Processing Methods to Identify Oncology Patients at
  High Risk for Acute Care with Clinical Notes

Identifying Differential Equations to predict Blood Glucose using Sparse
  Identification of Nonlinear Systems

Bimanual rope manipulation skill synthesis through context dependent
  correction policy learning from human demonstration

Deep Learning based Automatic Quantification of Urethral Plate Quality
  using the Plate Objective Scoring Tool (POST)

VREN: Volleyball Rally Dataset with Expression Notation Language

Deeply Supervised Layer Selective Attention Network: Towards
  Label-Efficient Learning for Medical Image Classification

Mutual Information and Ensemble Based Feature Recommender for Renal
  Cancer Stage Classification

SEMICON: A Learning-to-hash Solution for Large-scale Fine-grained Image
  Retrieval

Learning Deep Representations via Contrastive Learning for Instance
  Retrieval

Supervised Class-pairwise NMF for Data Representation and Classification

Label Distribution Learning via Implicit Distribution Representation

Systematic development of polynomial machine learning potentials for
  metallic and alloy systems

Denoising of 3D MR images using a voxel-wise hybrid residual MLP-CNN
  model to improve small lesion diagnostic confidence

A Learning-based Honeypot Game for Collaborative Defense in UAV Networks

Learning Asynchronous and Error-prone Longitudinal Data via Functional

FedVeca: Federated Vectorized Averaging on Non-IID Data with Adaptive
  Bi-directional Global Objective

Analysis and prediction of heart stroke from ejection fraction and serum
  creatinine using LSTM deep learning approach

PCB-RandNet: Rethinking Random Sampling for LIDAR Semantic Segmentation
  in Autonomous Driving Scene

TRBoost: A Generic Gradient Boosting Machine based on Trust-region
  Method

A Parameter-free Nonconvex Low-rank Tensor Completion Model for
  Spatiotemporal Traffic Data Recovery

Hyperspectral Remote Sensing Benchmark Database for Oil Spill Detection
  with an Isolation Forest-Guided Unsupervised Detector

Solar Flare Index Prediction Using SDO/HMI Vector Magnetic Data Products
  with Statistical and Machine Learning Methods

An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning

ButterflyFlow: Building Invertible Layers with Butterfly Matrices

METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19
  Related Tweets

Mr. Right: Multimodal Retrieval on Representation of ImaGe witH Text

Clustering-Induced Generative Incomplete Image-Text Clustering (CIGIT-C)

Consensus Knowledge Graph Learning via Multi-view Sparse Low Rank Block
  Model

Predictive Crypto-Asset Automated Market Making Architecture for
  Decentralized Finance using Deep Reinforcement Learning

Image Compressed Sensing with Multi-scale Dilated Convolutional Neural
  Network

MultiRoboLearn: An open-source Framework for Multi-robot Deep

Structured Summarization: Unified Text Segmentation and Segment Labeling
  as a Generation Task

MTU-Net: Multi-level TransUNet for Space-based Infrared Tiny Ship
  Detection

Towards Regression-Free Neural Networks for Diverse Compute Platforms

Follow The Rules: Online Signal Temporal Logic Tree Search for Guided
  Imitation Learning in Stochastic Domains

Deep Learning Based Detection of Enlarged Perivascular Spaces on Brain
  MRI

A Quantum Optimization Algorithm for Single Machine Total Weighted
  Tardiness Minimization

SGTM 2.0: Autonomously Untangling Long Cables using Interactive
  Perception

An Overview of the Data-Loader Landscape: Comparative Performance
  Analysis

Hybrid Stochastic Synapses Enabled by Scaled Ferroelectric Field-effect
  Transistors

V2XP-ASG: Generating Adversarial Scenes for Vehicle-to-Everything

Mixed-domain Training Improves Multi-Mission Terrain Segmentation

CEC-CNN: A Consecutive Expansion-Contraction Convolutional Network for
  Very Small Resolution Medical Image Classification

MPC-Pipe: an Efficient Pipeline Scheme for Secure Multi-party Machine
  Learning Inference

Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow
  Hallways

Rethinking Clustering-Based Pseudo-Labeling for Unsupervised

Intercepting A Flying Target While Avoiding Moving Obstacles: A Unified
  Control Framework With Deep Manifold Learning

A critical appraisal of equity in conversational AI: Evidence from
  auditing GPT-3's dialogues with different publics on climate change and Black
  Lives Matter

Reconstruction-guided attention improves the robustness and shape
  processing of neural networks

Efficiency versus effort: a better way to compare best photovoltaic
  research cell efficiencies?

Efficiently Learning Recoveries from Failures Under Partial

Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO)
  Convolutions

Learning-Based Dimensionality Reduction for Computing Compact and
  Effective Local Feature Descriptors

Learning State-Aware Visual Representations from Audible Interactions

Adapting Brain-Like Neural Networks for Modeling Cortical Visual
  Prostheses

FreeSeg: Free Mask from Interpretable Contrastive Language-Image
  Pretraining for Semantic Segmentation

Polymer informatics at-scale with multitask graph neural networks

Escaping saddle points in zeroth-order optimization: two function
  evaluations suffice

Dense-TNT: Efficient Vehicle Type Classification Neural Network Using
  Satellite Imagery

DeepVenn -- a web application for the creation of area-proportional Venn
  diagrams using the deep learning framework Tensorflow.js

Predicting Swarm Equatorial Plasma Bubbles Via Supervised Machine
  Learning

Unsupervised Domain Adaptation with Histogram-gated Image Translation
  for Delayered IC Image Analysis

Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with
  Extremely Limited Labels

AdaFocusV3: On Unified Spatial-temporal Dynamic Video Recognition

EgoSpeed-Net: Forecasting Speed-Control in Driver Behavior from
  Egocentric Video Data

Learning to Counter: Stochastic Feature-based Learning for Diverse
  Counterfactual Explanations

Design Perspectives of Multitask Deep Learning Models and Applications

Fluid Batching: Exit-Aware Preemptive Serving of Early-Exit Neural
  Networks on Edge NPUs

Accelerating hypersonic reentry simulations using deep learning-based
  hybridization (with guarantees)

Manipulation via Membranes: High-Resolution and Highly Deformable
  Tactile Sensing and Control

UniCLIP: Unified Framework for Contrastive Language-Image Pre-training

WeightedSHAP: analyzing and improving Shapley based feature attributions

LitCovid in 2022: an information resource for the COVID-19 literature

Resource Allocation for Mobile Metaverse with the Internet of Vehicles
  over 6G Wireless Communications: A Deep Reinforcement Learning Approach

Stacking Ensemble Learning in Deep Domain Adaptation for Ophthalmic

A Pathologist-Informed Workflow for Classification of Prostate Glands in
  Histopathology

CCTCOVID: COVID-19 Detection from Chest X-Ray Images Using Compact
  Convolutional Transformers

Measuring Overfitting in Convolutional Neural Networks using Adversarial
  Perturbations and Label Noise

Neural Network Panning: Screening the Optimal Sparse Network Before
  Training

StyleMask: Disentangling the Style Space of StyleGAN2 for Neural Face
  Reenactment

OBBStacking: An Ensemble Method for Remote Sensing Object Detection

SuperYOLO: Super Resolution Assisted Object Detection in Multimodal
  Remote Sensing Imagery

Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset
  Copyright Protection

Machine learning-accelerated chemistry modeling of protoplanetary disks

Continuous approximation by convolutional neural networks with a
  sigmoidal function

A micromechanics-based recurrent neural networks model for
  path-dependent cyclic deformation of short fiber composites

Outlier Suppression: Pushing the Limit of Low-bit Transformer Language
  Models

Stability Via Adversarial Training of Neural Network Stochastic Control
  of Mean-Field Type

Safe reinforcement learning of dynamic high-dimensional robotic tasks:
  navigation, manipulation, interaction

Text-Adaptive Multiple Visual Prototype Matching for Video-Text
  Retrieval

Stellar population of the Rosette Nebula and NGC 2244: application of
  the probabilistic random forest

Deep learning and machine learning for Malaria detection: overview,
  challenges and future directions

IFISS3D: A computational laboratory for investigating finite element
  approximation in three dimensions

Active Informed Consent to Boost the Application of Machine Learning in
  Medicine

When Handcrafted Features and Deep Features Meet Mismatched Training and
  Test Sets for Deepfake Detection

A Snapshot of the Frontiers of Client Selection in Federated Learning

Frame Interpolation for Dynamic Scenes with Implicit Flow Encoding

A comparative study of attention mechanism and generative adversarial
  network in facade damage segmentation

Improving Multilingual Neural Machine Translation System for Indic
  Languages

Orbeez-SLAM: A Real-time Monocular Visual SLAM with ORB Features and
  NeRF-realized Mapping

The Curse of Unrolling: Rate of Differentiating Through Optimization

Evolution TANN and the discovery of the internal variables and evolution
  equations in solid mechanics

Approximate Secular Equations for the Cubic Regularization Subproblem

Inducing Data Amplification Using Auxiliary Datasets in Adversarial
  Training

Biologically-Plausible Determinant Maximization Neural Networks for
  Blind Separation of Correlated Sources

Deep Unfolding of the DBFB Algorithm with Application to ROI CT Imaging
  with Limited Angular Density

Exploring the Algorithm-Dependent Generalization of AUPRC Optimization
  with List Stability

SmartFPS: Neural Network based Wireless-inertial fusion positioning
  system

OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning

Identifying and Extracting Football Features from Real-World Media
  Sources using Only Synthetic Training Data

RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud
  Registration

IdeaReader: A Machine Reading System for Understanding the Idea Flow of
  Scientific Publications

Reinforcement Learning for Cognitive Delay/Disruption Tolerant Network
  Node Management in an LEO-based Satellite Constellation

A Derivation of Feedforward Neural Network Gradients Using Fréchet
  Calculus

Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient

A Survey on Graph Neural Networks and Graph Transformers in Computer
  Vision: A Task-Oriented Perspective

View-aware Salient Object Detection for 360° Omnidirectional Image

Exploiting Transformer in Reinforcement Learning for Interpretable
  Temporal Logic Motion Planning

Im2Oil: Stroke-Based Oil Painting Rendering with Linearly Controllable
  Fineness Via Adaptive Sampling

Improving Primal Heuristics for Mixed Integer Programming Problems based
  on Problem Reduction: A Learning-based Approach

Neural Frank-Wolfe Policy Optimization for Region-of-Interest
  Intra-Frame Coding with HEVC/H.265

DAMO-NLP at NLPCC-2022 Task 2: Knowledge Enhanced Robust NER for Speech
  Entity Linking

Explainable Global Fairness Verification of Tree-Based Classifiers

MARS: A Motif-based Autoregressive Model for Retrosynthesis Prediction

RepsNet: Combining Vision with Language for Automated Medical Reports

A Morphology Focused Diffusion Probabilistic Model for Synthesis of
  Histopathology Images

Efficient View Path Planning for Autonomous Implicit Reconstruction

Deep Learning Based Beam Training for Extremely Large-Scale Massive MIMO
  in Near-Field Domain

Using Unmanned Aerial Systems (UAS) for Assessing and Monitoring Fall
  Hazard Prevention Systems in High-rise Building Projects

DCE: Offline Reinforcement Learning With Double Conservative Estimates

Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances

3D Scene Flow Estimation on Pseudo-LiDAR: Bridging the Gap on Estimating
  Point Motion

Design of experiments for the calibration of history-dependent models
  via deep reinforcement learning and an enhanced Kalman filter

Explainable Graph Pyramid Autoformer for Long-Term Traffic Forecasting

CyRSoXS: A GPU-accelerated virtual instrument for Polarized Resonant
  Soft X-ray Scattering (P-RSoXS)

Semi-Synchronous Personalized Federated Learning over Mobile Edge
  Networks

Automated Sex Classification of Children's Voices and Changes in
  Differentiating Factors with Age

WikiDes: A Wikipedia-Based Dataset for Generating Short Descriptions
  from Paragraphs

Controlling mean exit time of stochastic dynamical systems based on
  quasipotential and machine learning

BayesNetCNN: incorporating uncertainty in neural networks for
  image-based classification tasks

EEG-based Image Feature Extraction for Visual Classification using Deep
  Learning

Improving Radiology Report Generation Systems by Removing Hallucinated
  References to Non-existent Priors

Why neural networks find simple solutions: the many regularizers of
  geometric complexity

FedStack: Personalized activity monitoring using stacked federated
  learning

Accelerating the Genetic Algorithm for Large-scale Traveling Salesman
  Problems by Cooperative Coevolutionary Pointer Network with Reinforcement
  Learning

Off-policy estimation of linear functionals: Non-asymptotic theory for
  semi-parametric efficiency

Euclid preparation: XXII. Selection of Quiescent Galaxies from Mock
  Photometry using Machine Learning

EPIC-KITCHENS VISOR Benchmark: VIdeo Segmentations and Object Relations

Enhanced Meta Reinforcement Learning using Demonstrations in Sparse
  Reward Environments

Understanding Hindsight Goal Relabeling Requires Rethinking Divergence

DynImp: Dynamic Imputation for Wearable Sensing Data Through Sensory and
  Temporal Relatedness

An Application of a Runtime Epistemic Probabilistic Event Calculus to
  Decision-making in e-Health Systems

Learning Self-Supervised Representations from Vision and Touch for
  Active Sliding Perception of Deformable Surfaces

Electron energy loss spectroscopy database synthesis and automation of
  core-loss edge recognition by deep-learning neural networks

USE-Evaluator: Performance Metrics for Medical Image Segmentation Models
  with Uncertain, Small or Empty Reference Annotations

Automated Urban Planning aware Spatial Hierarchies and Human
  Instructions

Habitat classification from satellite observations with sparse
  annotations

Going Further With Winograd Convolutions: Tap-Wise Quantization for
  Efficient Inference on 4x4 Tile

Actor-Critic Network for O-RAN Resource Allocation: xApp Design,
  Deployment, and Analysis

Deformation dependence of 2p-radioactivity half-lives: Probe with a new
  formula across the mass region with Z<82

FaRO 2: an Open Source, Configurable Smart City Framework for Real-Time
  Distributed Vision and Biometric Systems

Learning Provably Stable Local Volt/Var Controllers for Efficient
  Network Operation

Developing Machine-Learned Potentials for Coarse-Grained Molecular
  Simulations: Challenges and Pitfalls

Investigation of Machine Learning-based Coarse-Grained Mapping Schemes
  for Organic Molecules

Towards Simple and Efficient Task-Adaptive Pre-training for Text

ERASE-Net: Efficient Segmentation Networks for Automotive Radar Signals

A Comprehensive Review of Trends, Applications and Challenges In
  Out-of-Distribution Detection

Shallow shadows: Expectation estimation using low-depth random Clifford
  circuits

A CNN-LSTM-based Fusion Separation Deep Neural Network for 6G
  Ultra-Massive MIMO Hybrid Beamforming

Learning to Learn with Generative Models of Neural Network Checkpoints

It Takes Two: Learning to Plan for Human-Robot Cooperative Carrying

A streamlined quantum algorithm for topological data analysis with
  exponentially fewer qubits

Approximate Description Length, Covering Numbers, and VC Dimension

Learning and Deploying Robust Locomotion Policies with Minimal Dynamics
  Randomization

Automatic Identification and Classification of Share Buybacks and their
  Effect on Short-, Mid- and Long-Term Returns

AirTrack: Onboard Deep Learning Framework for Long-Range Aircraft
  Detection and Tracking

Towards Direct Comparison of Community Structures in Social Networks

Efficient Multi-Prize Lottery Tickets: Enhanced Accuracy, Training, and
  Inference Speed

Adaptation of Autoencoder for Sparsity Reduction From Clinical Notes

Advanced Skills by Learning Locomotion and Local Navigation End-to-End

Multi-encoder attention-based architectures for sound recognition with
  partial visual assistance

ComplexWoundDB: A Database for Automatic Complex Wound Tissue
  Categorization

Word to Sentence Visual Semantic Similarity for Caption Generation:
  Lessons Learned

Out-of-Distribution Detection with Hilbert-Schmidt Independence

FONDUE: an algorithm to find the optimal dimensionality of the latent
  representations of variational autoencoders

Machine learning constraints on deviations from general relativity from
  the large scale structure of the Universe

Material Prediction for Design Automation Using Graph Representation
  Learning

Application of Quantum Machine Learning in a Higgs Physics Study at the
  CEPC

Do ever larger octopi still amplify reporting biases? Evidence from
  judgments of typical colour

Learning GFlowNets from partial episodes for improved convergence and
  stability

An Explainable Machine Learning Approach to Visual-Interactive Labeling:
  A Case Study on Non-communicable Disease Data

Towards Fine-Dining Recipe Generation with Generative Pre-trained

Generalized conditional gradient and learning in potential mean field
  games

Hamiltonian Monte Carlo for efficient Gaussian sampling: long and random
  steps

Shrinking unit: a Graph Convolution-Based Unit for CNN-like 3D Point
  Cloud Feature Extractors

Optimizing DNN Compilation for Distributed Training with Joint OP and
  Tensor Fusion

The Ability of Self-Supervised Speech Models for Audio Representations

EasyRec: An easy-to-use, extendable and efficient framework for building
  industrial recommendation systems

Just-In-Time Learning for Operational Risk Assessment in Power Grids

Overcoming Referential Ambiguity in Language-Guided Goal-Conditioned

LSAP: Rethinking Inversion Fidelity, Perception and Editability in GAN
  Latent Space

Enhancing Claim Classification with Feature Extraction from
  Anomaly-Detection-Derived Routine and Peculiarity Profiles

Text Independent Speaker Identification System for Access Control

Machine Learning for Improved Gas Network Models in Coordinated Energy
  Systems

DeepFusion: A Robust and Modular 3D Object Detector for Lidars, Cameras
  and Radars

Prayatul Matrix: A Direct Comparison Approach to Evaluate Performance of
  Supervised Machine Learning Models

LOViS: Learning Orientation and Visual Signals for Vision and Language

Self-supervised Denoising via Low-rank Tensor Approximated Convolutional

Taking a Respite from Representation Learning for Molecular Property

More Centralized Training, Still Decentralized Execution: Multi-Agent
  Conditional Policy Factorization

MARLUI: Multi-Agent Reinforcement Learning for Goal-Agnostic Adaptive
  UIs

Learning Variational Models with Unrolling and Bilevel Optimization

FORESEE: Model-based Reinforcement Learning using Unscented Transform
  with application to Tuning of Control Barrier Functions

Modeling Polyp Activity of Paragorgia arborea Using Supervised Learning

ImmunoLingo: Linguistics-based formalization of the antibody language

Power System Anomaly Detection and Classification Utilizing WLS-EKF
  State Estimation and Machine Learning

DVGAN: Stabilize Wasserstein GAN training for time-domain Gravitational
  Wave physics

Improving Image Clustering through Sample Ranking and Its Application to
  remote--sensing images

Effects of language mismatch in automatic forensic voice comparison
  using deep learning embeddings

Deep Manifold Hashing: A Divide-and-Conquer Approach for Semi-Paired
  Unsupervised Cross-Modal Retrieval

Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs

Learning Critical Scenarios in Feedback Control Systems for Automated
  Driving

Two-Tailed Averaging: Anytime Adaptive Once-in-a-while Optimal Iterate
  Averaging for Stochastic Optimization

Robust Causality and False Attribution in Data-Driven Earth Science
  Discoveries

Least-squares methods for nonnegative matrix factorization over rational
  functions

PearNet: A Pearson Correlation-based Graph Attention Network for Sleep
  Stage Recognition

Impact-Friendly Object Catching at Non-Zero Velocity based on Hybrid
  Optimization and Learning

Improving Document Image Understanding with Reinforcement Finetuning

Device-friendly Guava fruit and leaf disease detection using deep
  learning

Multi-Task Adversarial Training Algorithm for Multi-Speaker Neural
  Text-to-Speech

Recent advances in computational methods for studying ligand binding
  kinetics

An Energy Optimized Specializing DAG Federated Learning based on Event
  Triggered Communication

Learning to simulate realistic limit order book markets from data as a
  World Agent

Taming Client Dropout for Distributed Differential Privacy in Federated
  Learning

Generative machine learning methods for multivariate ensemble
  post-processing

Greybox XAI: a Neural-Symbolic learning framework to produce
  interpretable predictions for image classification

Improving Multi-fidelity Optimization with a Recurring Learning Rate for
  Hyperparameter Tuning

Experimental validation of machine-learning based spectral-spatial power
  evolution shaping using Raman amplifiers

Information-Theoretic Hashing for Zero-Shot Cross-Modal Retrieval

Unifying Model-Based and Neural Network Feedforward: Physics-Guided
  Neural Networks with Linear Autoregressive Dynamics

Delayed Geometric Discounts: An Alternative Criterion for Reinforcement
  Learning

Neural-FacTOR: Neural Representation Learning for Website Fingerprinting
  Attack over TOR Anonymity

RetiFluidNet: A Self-Adaptive and Multi-Attention Deep Convolutional
  Network for Retinal OCT Fluid Segmentation

Learned Force Fields Are Ready For Ground State Catalyst Discovery

Accurate ab initio modeling of solid solution strengthening in high
  entropy alloys

Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement
  and measurement reduction

YOLO v3: Visual and Real-Time Object Detection Model for Smart
  Surveillance Systems(3s)

Visual Anomaly Detection Via Partition Memory Bank Module and Error

Deep generative model super-resolves spatially correlated multiregional
  climate data

$O(T^{-1})$ Convergence of Optimistic-Follow-the-Regularized-Leader in
  Two-Player Zero-Sum Markov Games

Online Submodular Coordination with Bounded Tracking Regret: Theory,
  Algorithm, and Applications to Multi-Robot Coordination

Learning Continuous Control Policies for Information-Theoretic Active

Knowledge Distillation to Ensemble Global and Interpretable
  Prototype-Based Mammogram Classification Models

Feature-based model selection for object detection from point cloud data

DEFT: Diverse Ensembles for Fast Transfer in Reinforcement Learning

Entailment Semantics Can Be Extracted from an Ideal Language Model

Sampling Constrained Continuous Probability Distributions: A Review

Deep Fair Clustering via Maximizing and Minimizing Mutual Information

Quantum Speedups of Optimizing Approximately Convex Functions with
  Applications to Logarithmic Regret Stochastic Convex Bandits

Neural State-Space Modeling with Latent Causal-Effect Disentanglement

A Compact Online-Learning Spiking Neuromorphic Biosignal Processor

Convergence of score-based generative modeling for general data
  distributions

FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems

Mental arithmetic task classification with convolutional neural network
  based on spectral-temporal features from EEG

Photon-counting CT thermometry via material decomposition and machine
  learning

Deep Convolutional Neural Network and Transfer Learning for Locomotion
  Intent Prediction

Multi-dataset Training of Transformers for Robust Action Recognition

Reinforcement Learning-based Output Structured Feedback for Distributed
  Multi-Area Power System Frequency Control

UDepth: Fast Monocular Depth Estimation for Visually-guided Underwater
  Robots

TaskMix: Data Augmentation for Meta-Learning of Spoken Intent

Unsupervised Reward Shaping for a Robotic Sequential Picking Task from
  Visual Observations in a Logistics Scenario

Opportunities and Challenges from Using Animal Videos in Reinforcement
  Learning for Navigation

Stochastic Gradient Descent Captures How Children Learn About Physics

A Deep Learning Approximation of Non-Stationary Solutions to Wave
  Kinetic Equations

Solving Seismic Wave Equations on Variable Velocity Models with Fourier
  Neural Operator

NNPred: A Predictor Library to Deploy Neural Networks in Computational
  Fluid Dynamics software

Generating Formal Safety Assurances for High-Dimensional Reachability

An Empirical Study on Cross-X Transfer for Legal Judgment Prediction

Weather2vec: Representation Learning for Causal Inference with Non-Local
  Confounding in Air Pollution and Climate Studies

Deep learning forward and reverse primer design to detect SARS-CoV-2
  emerging variants

Random graph matching at Otter's threshold via counting chandeliers

Reward Learning using Structural Motifs in Inverse Reinforcement
  Learning

VAESim: A probabilistic approach for self-supervised prototype discovery

Knowledge-aided Federated Learning for Energy-limited Wireless Networks

Algorithms that Approximate Data Removal: New Results and Limitations

Enforcing safety for vision-based controllers via Control Barrier
  Functions and Neural Radiance Fields

Cooperative Sensing and Heterogeneous Information Fusion in VCPS: A
  Multi-agent Deep Reinforcement Learning Approach

Analog Image Denoising with an Adaptive Memristive Crossbar Network

Collaboration of Pre-trained Models Makes Better Few-shot Learner

From One to Many: Dynamic Cross Attention Networks for LiDAR and Camera
  Fusion

Energy-Efficiency Maximization for a WPT-D2D Pair in a MISO-NOMA
  Downlink Network

Safety-compliant Generative Adversarial Networks for Human Trajectory

Multimodal Learning with Channel-Mixing and Masked Autoencoder on Facial
  Action Unit Detection

Stochastic projection based approach for gradient free physics informed
  learning

Localizing Anatomical Landmarks in Ocular Images using Zoom-In Attentive
  Networks

High-Resolution Satellite Imagery for Modeling the Impact of
  Aridification on Crop Production

Adaptive Dynamic Programming and Data-Driven Cooperative Optimal Output
  Regulation with Adaptive Observers

Hand Hygiene Assessment via Joint Step Segmentation and Key Action
  Scorer

Partial annotations for the segmentation of large structures with low
  annotation cost

GPatch: Patching Graph Neural Networks for Cold-Start Recommendations

Efficient Long Sequential User Data Modeling for Click-Through Rate

Transfer learning for self-supervised, blind-spot seismic denoising

A Uniform Representation Learning Method for OCT-based Fingerprint
  Presentation Attack Detection and Reconstruction

Bayesian inference of high-purity germanium detector impurities based on
  capacitance measurements and machine-learning accelerated capacitance
  calculations

Capacity dependent analysis for functional online learning algorithms

SPRITZ-1.5C: Employing Deep Ensemble Learning for Improving the Security
  of Computer Networks against Adversarial Attacks

Machine learning technique for morphological classification of galaxies
  from the SDSS. III. Image-based inference of detailed features

Using Multiple Code Representations to Prioritize Static Analysis
  Warnings

Application of Deep Learning in Generating Structured Radiology Reports:
  A Transformer-Based Technique

Dive into Self-Supervised Learning for Medical Image Analysis: Data,
  Models and Tasks

Discriminative feature encoding for intrinsic image decomposition

WinoDict: Probing language models for in-context word acquisition

Self-Supervised Masked Convolutional Transformer Block for Anomaly
  Detection

Machine Learning and Artificial Intelligence-Driven Multi-Scale Modeling
  for High Burnup Accident-Tolerant Fuels for Light Water-Based SMR

Deep Learning Technology-Based Exoskeleton Robot Controller Development

Bigger&Faster: Two-stage Neural Architecture Search for Quantized
  Transformer Models

Error analysis based on inverse modified differential equations for
  discovery of dynamics using linear multistep methods and deep learning

Reconstruction of electron radiation spectra and beam parameters from
  photon spectrometer data in accelerator experiments using machine learning

Online Allocation and Learning in the Presence of Strategic Agents

Answer-Set Programs for Repair Updates and Counterfactual Interventions

An Asymptotically Optimal Batched Algorithm for the Dueling Bandit
  Problem

Conversion Between CT and MRI Images Using Diffusion and Score-Matching
  Models

Learning Decentralized Strategies for a Perimeter Defense Game with
  Graph Neural Networks

Controllable Text Generation for Open-Domain Creativity and Fairness

Identifying latent activity behaviors and lifestyles using mobility data
  to describe urban dynamics

Learn what matters: cross-domain imitation learning with task-relevant
  embeddings

Graph Neural Networks for Multi-Robot Active Information Acquisition

One-Shot Learning of Stochastic Differential Equations with Data Adapted
  Kernels

Inferring subsystem efficiencies in bipartite molecular machines

S^2-Transformer for Mask-Aware Hyperspectral Image Reconstruction

Accelerating Reinforcement Learning for Autonomous Driving using
  Task-Agnostic and Ego-Centric Motion Skills

Controllable Face Manipulation and UV Map Generation by Self-supervised
  Learning

Learning and forecasting of age-specific period mortality via B-spline
  processes with locally-adaptive dynamic coefficients

Blinder: End-to-end Privacy Protection in Sensing Systems via
  Personalized Federated Learning

Song Emotion Recognition: a Performance Comparison Between Audio
  Features and Artificial Neural Networks

Unsupervised domain adaptation for speech recognition with unsupervised
  error correction

Learning robotic cutting from demonstration: Non-holonomic DMPs using
  the Udwadia-Kalaba method

Temperature-dependent anharmonic phonons in quantum paraelectric
  KTaO$_3$ by first principles and machine-learned force fields

Graph Representation Learning for Energy Demand Data: Application to
  Joint Energy System Planning under Emissions Constraints

Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns
  for Cross-Domain Adaptation

Application of the nnU-Net for automatic segmentation of lung lesion on
  CT images, and implication on radiomic models

Energy-Environment evaluation and Forecast of a Novel Regenerative
  turboshaft engine combine cycle with DNN application

Unsupervised Model-based Pre-training for Data-efficient Control from
  Pixels

Non-monotonic Resource Utilization in the Bandits with Knapsacks Problem

Contrastive learning for unsupervised medical image clustering and

Toward Intention Discovery for Early Malice Detection in Bitcoin

Deep Attentive Belief Propagation: Integrating Reasoning and Learning
  for Solving Constraint Optimization Problems

Statistical Analysis of Time-Frequency Features Based On Multivariate
  Synchrosqueezing Transform for Hand Gesture Classification

Graph Neural Network Expressivity and Meta-Learning for Molecular
  Property Regression

Bayesian Modeling of Time-varying Parameters Using Regression Trees

Application of artificial neural network to determine the thickness
  profile of thin film

Approximate better, Attack stronger: Adversarial Example Generation via
  Asymptotically Gaussian Mixture Distribution

Raising the Bar on the Evaluation of Out-of-Distribution Detection

TransPOS: Transformers for Consolidating Different POS Tagset Datasets

Rapid Seismic Waveform Modeling and Inversion with Universal Neural
  Operators

Are Machine Programming Systems using Right Source-Code Measures to
  Select Code Repositories?

Communication-Efficient {Federated} Learning Using Censored Heavy Ball
  Descent

Planning for Multi-Object Manipulation with Graph Neural Network
  Relational Classifiers

Higher-Order Error estimates for physics-informed neural networks
  approximating the primitive equations

Self-supervised Image Clustering from Multiple Incomplete Views via
  Constrastive Complementary Generation

DeepChrome 2.0: Investigating and Improving Architectures,
  Visualizations, & Experiments

Tradeoffs between convergence rate and noise amplification for
  momentum-based accelerated optimization algorithms

Concordance based Survival Cobra with regression type weak learners

Fast Lifelong Adaptive Inverse Reinforcement Learning from

Joint Speech Activity and Overlap Detection with Multi-Exit Architecture

Speech Enhancement with Perceptually-motivated Optimization and Dual
  Transformations

CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph
  Convolutional Network Inference

Unsupervised active speaker detection in media content using cross-modal
  information

Closing the Loop: Graph Networks to Unify Semantic Objects and Visual
  Features for Multi-object Scenes

Highly Scalable Task Grouping for Deep Multi-Task Learning in Prediction
  of Epigenetic Events

JPEG Artifact Correction using Denoising Diffusion Restoration Models

Physics-Informed Graph Neural Network for Spatial-temporal Production

Tighter Variational Bounds are Not Necessarily Better. A Research Report
  on Implementation, Ablation Study, and Extensions

WordStream Maker: A Lightweight End-to-end Visualization Platform for
  Qualitative Time-series Data

Privacy-Preserving Online Content Moderation: A Federated Learning Use
  Case

Comparison of Lexical Alignment with a Teachable Robot in Human-Robot
  and Human-Human-Robot Interactions

Deceptive AI Systems That Give Explanations Are Just as Convincing as
  Honest AI Systems in Human-Machine Decision Making

M2TRec: Metadata-aware Multi-task Transformer for Large-scale and
  Cold-start free Session-based Recommendations

Expanding the Deployment Envelope of Behavior Prediction via Adaptive

An Efficient Algorithm for Fair Multi-Agent Multi-Armed Bandit with Low
  Regret

Periodic Graph Transformers for Crystal Material Property Prediction

Emb-GAM: an Interpretable and Efficient Predictor using Pre-trained

Descriptor Distillation: a Teacher-Student-Regularized Framework for
  Learning Local Descriptors

Multi-Agent Exploration of an Unknown Sparse Landmark Complex via Deep

Safe Real-World Reinforcement Learning for Mobile Agent Obstacle
  Avoidance

Synthesize Efficient Safety Certificates for Learning-Based Safe Control
  using Magnitude Regularization

Tiered Pruning for Efficient Differentialble Inference-Aware Neural

A Knowledge-driven Physics-Informed Neural Network model; Pyrolysis and
  Ablation of Polymers

GLSO: Grammar-guided Latent Space Optimization for Sample-efficient
  Robot Design Automation

Unified Algorithms for RL with Decision-Estimation Coefficients:
  No-Regret, PAC, and Reward-Free Learning

BioKlustering: a web app for semi-supervised learning of maximally
  imbalanced genomic data

Boost CTR Prediction for New Advertisements via Modeling Visual Content

The "Beatrix'' Resurrections: Robust Backdoor Detection via Gram
  Matrices

DeepVol: Volatility Forecasting from High-Frequency Data with Dilated
  Causal Convolutions

PNeRF: Probabilistic Neural Scene Representations for Uncertain 3D
  Visual Mapping

MiCellAnnGELo: Annotate microscopy time series of complex cell surfaces
  with 3D Virtual Reality

Stereo InSE-NET: Stereo Audio Quality Predictor Transfer Learned from
  Mono InSE-NET

Exact conservation laws for neural network integrators of dynamical
  systems

Signal to background discrimination for the production of double Higgs
  boson events via vector boson fusion mechanism in the decay channel with four
  charged leptons and two b-jets in the final state at the LHC experiment

Faith: An Efficient Framework for Transformer Verification on GPUs

View-Invariant Skeleton-based Action Recognition via Global-Local

Facilitating Change Implementation for Continuous ML-Safety Assurance

The SpeakIn Speaker Verification System for Far-Field Speaker
  Verification Challenge 2022

UAV-Assisted Hierarchical Aggregation for Over-the-Air Federated
  Learning

Differentiable physics-enabled closure modeling for Burgers' turbulence

Exact Recovery of Community Detection in dependent Gaussian Mixture
  Models

Neural Clamping: Joint Input Perturbation and Temperature Scaling for
  Neural Network Calibration

Machine Learning and Analytical Power Consumption Models for 5G Base
  Stations

Predicting the Future of AI with AI: High-quality link prediction in an
  exponentially growing knowledge network

Quantification before Selection: Active Dynamics Preference for Robust

Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural
  Network

Detailed simulation for the ClearMind prototype detection module and
  event reconstruction using artificial intelligence

Multi-Granularity Graph Pooling for Video-based Person Re-Identification

Pose-Aided Video-based Person Re-Identification via Recurrent Graph

Neural Network Potentials for Chemistry: Concepts, Applications and
  Prospects

Towards Complete-View and High-Level Pose-based Gait Recognition

Multi-Modal Cross-Domain Alignment Network for Video Moment Retrieval

A Unified Generative Framework based on Prompt Learning for Various
  Information Extraction Tasks

Query-based Hard-Image Retrieval for Object Detection at Test Time

Applications of Machine Learning in Chemical and Biological Oceanography

On Efficient Reinforcement Learning for Full-length Game of StarCraft II

MAGIC: Mask-Guided Image Synthesis by Inverting a Quasi-Robust

Quantile-constrained Wasserstein projections for robust interpretability
  of numerical and machine learning models

A Unified Perspective on Natural Gradient Variational Inference with
  Gaussian Mixture Models

Leveraging the Potential of Novel Data in Power Line Communication of
  Electricity Grids

Deep Learning-based Anonymization of Chest Radiographs: A
  Utility-preserving Measure for Patient Privacy

Solving Robot Assembly Tasks by Combining Interactive Teaching and
  Self-Exploration

An artificial neural network-based system for detecting machine failures
  using tiny sound data: A case study

Statistical shape representations for temporal registration of plant
  components in 3D

Power Management in Smart Residential Building with Deep Learning Model
  for Occupancy Detection by Usage Pattern of Electric Appliances

Error Mitigation-Aided Optimization of Parameterized Quantum Circuits:
  Convergence Analysis

Small time asymptotics of the entropy of the heat kernel on a Riemannian
  manifold

The complexity of unsupervised learning of lexicographic preferences

Feedforward Control in the Presence of Input Nonlinearities: A
  Learning-based Approach

Sequential Causal Effect Variational Autoencoder: Time Series Causal
  Link Estimation under Hidden Confounding

Ensemble-based gradient inference for particle methods in optimization
  and sampling

GIDP: Learning a Good Initialization and Inducing Descriptor
  Post-enhancing for Large-scale Place Recognition

ET5: A Novel End-to-end Framework for Conversational Machine Reading
  Comprehension

Active Few-Shot Classification: a New Paradigm for Data-Scarce Learning
  Settings

Weakly Supervised Two-Stage Training Scheme for Deep Video Fight
  Detection Model

Optimizing Class Distribution in Memory for Multi-Label Online Continual
  Learning

Spatio-Temporal Contrastive Learning Enhanced GNNs for Session-based

Segmentation-based Information Extraction and Amalgamation in Fundus
  Images for Glaucoma Detection

FIAT: Fine-grained Information Audit for Trustless Transborder Data Flow

Understanding Open-Set Recognition by Jacobian Norm of Representation

A Robust and Explainable Data-Driven Anomaly Detection Approach For
  Power Electronics

Recent trends and analysis of Generative Adversarial Networks in
  Cervical Cancer Imaging

LEADER: Learning Attention over Driving Behaviors for Planning under

Relation Embedding based Graph Neural Networks for Handling
  Heterogeneous Graph

Zero-shot Domain Adaptation for Neural Machine Translation with
  Retrieved Phrase-level Prompts

Feature selection in stratification estimators of causal effects:
  lessons from potential outcomes, causal diagrams, and structural equations

Achieve the Minimum Width of Neural Networks for Universal Approximation

Dynamic Cone-beam CT Reconstruction using Spatial and Temporal Implicit
  Neural Representation Learning (STINR)

Do Current Multi-Task Optimization Methods in Deep Learning Even Help?

Tensor-Based Multi-Modality Feature Selection and Regression for
  Alzheimer's Disease Diagnosis

A Jensen-Shannon Divergence Based Loss Function for Bayesian Neural
  Networks

Bayesian Identification of Nonseparable Hamiltonian Systems Using
  Stochastic Dynamic Models

Multi-time Predictions of Wildfire Grid Map using Remote Sensing Local
  Data

Avoiding Biased Clinical Machine Learning Model Performance Estimates in
  the Presence of Label Selection

Differentiable Frequency-based Disentanglement for Aerial Video Action

Self-Relation Attention and Temporal Awareness for Emotion Recognition
  via Vocal Burst

Studying the explanations for the automated prediction of bug and
  non-bug issues using LIME and SHAP

Differentiable Bilevel Programming for Stackelberg Congestion Games

Training Recipe for N:M Structured Sparsity with Decaying Pruning Mask

CES-KD: Curriculum-based Expert Selection for Guided Knowledge

Neuro-symbolic Models for Interpretable Time Series Classification using
  Temporal Logic Description

Hub-aware Random Walk Graph Embedding Methods for Classification

STPOTR: Simultaneous Human Trajectory and Pose Prediction Using a
  Non-Autoregressive Transformer for Robot Following Ahead

Explicit Tradeoffs between Adversarial and Natural Distributional

Prediction of Gender from Longitudinal MRI data via Deep Learning on
  Adolescent Data Reveals Unique Patterns Associated with Brain Structure and
  Change over a Two-year Period

Theoretical Insight into Batch Normalization: Data Dependant Auto-Tuning
  of Regularization Rate

Context-Aware Query Rewriting for Improving Users' Search Experience on
  E-commerce Websites

The Development of Spatial Attention U-Net for The Recovery of
  Ionospheric Measurements and The Extraction of Ionospheric Parameters

Power to the People? Opportunities and Challenges for Participatory AI

Snowmass 2021 Computational Frontier CompF03 Topical Group Report:

ZeroEGGS: Zero-shot Example-based Gesture Generation from Speech

A new family of Constitutive Artificial Neural Networks towards
  automated model discovery

Clustering Network Vertices in Sparse Contextual Multilayer Networks

Toward an understanding of the properties of neural network approaches
  for supernovae light curve approximation

Multi-Modal Beam Prediction Challenge 2022: Towards Generalization

Distribution Aware Metrics for Conditional Natural Language Generation

Medical Image Segmentation using LeViT-UNet++: A Case Study on GI Tract
  Data

Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language
  Models

Random initialisations performing above chance and how to find them

Information Theoretic Measures of Causal Influences during Transient
  Neural Events

Bidirectional Learning for Offline Infinite-width Model-based

Hierarchical Attention Network for Explainable Depression Detection on
  Twitter Aided by Metaphor Concept Mappings

On the Surprising Effectiveness of Transformers in Low-Labeled Video

A Robotic Visual Grasping Design: Rethinking Convolution Neural Network
  with High-Resolutions

Uncertainty Aware ML-based surrogate models for particle accelerators: A
  Study at the Fermilab Booster Accelerator Complex

A Unifying Framework for Online Optimization with Long-Term Constraints

Mean-Field Approximation of Cooperative Constrained Multi-Agent
  Reinforcement Learning (CMARL)

Statistical monitoring of models based on artificial intelligence

Compositional generalization through abstract representations in human
  and artificial neural networks

Machine Reading, Fast and Slow: When Do Models "Understand" Language?

Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and
  Learning Mean-Field Control

Examining Large Pre-Trained Language Models for Machine Translation:
  What You Don't Know About It

EZNAS: Evolving Zero Cost Proxies For Neural Architecture Scoring

Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention
  for Social-Text Classification

Private Stochastic Optimization in the Presence of Outliers: Optimal
  Rates for (Non-Smooth) Convex Losses and Extension to Non-Convex Losses

Private Synthetic Data for Multitask Learning and Marginal Queries

Decision making in cancer: Causal questions require causal answers

On the programming effort required to generate Behavior Trees and Finite
  State Machines for robotic applications

IoT-Aerial Base Station Task Offloading with Risk-Sensitive
  Reinforcement Learning for Smart Agriculture

Understanding Deep Neural Function Approximation in Reinforcement
  Learning via $ε$-Greedy Exploration

Adversarially Robust Learning: A Generic Minimax Optimal Learner and
  Characterization

Causal Coupled Mechanisms: A Control Method with Cooperation and
  Competition for Complex System

Deep Reinforcement Learning for Task Offloading in UAV-Aided Smart Farm
  Networks

Snowmass Computational Frontier: Topical Group Report on Experimental
  Algorithm Parallelization

Rethinking Round-trip Translation for Automatic Machine Translation

Overhead-Free Blockage Detection and Precoding Through Physics-Based
  Graph Neural Networks: LIDAR Data Meets Ray Tracing

CLIPping Privacy: Identity Inference Attacks on Multi-Modal Machine
  Learning Models

Semiparametric Best Arm Identification with Contextual Information

A Continual Development Methodology for Large-scale Multitask Dynamic ML
  Systems

Physically recurrent neural networks for path-dependent heterogeneous
  materials: embedding constitutive models in a data-driven surrogate

Multi-Task Mixture Density Graph Neural Networks for Predicting Cu-based
  Single-Atom Alloy Catalysts for CO2 Reduction Reaction

Optimistic Curiosity Exploration and Conservative Exploitation with
  Linear Reward Shaping

MDE for Machine Learning-Enabled Software Systems: A Case Study and
  Comparison of MontiAnna & ML-Quadrat

Blind and Channel-agnostic Equalization Using Adversarial Networks

AssembleRL: Learning to Assemble Furniture from Their Point Clouds

Robustness in deep learning: The good (width), the bad (depth), and the
  ugly (initialization)

The probabilistic random forest applied to the QUBRICS survey: improving
  the selection of high-redshift quasars with synthetic data

Efficient first-order predictor-corrector multiple objective
  optimization for fair misinformation detection

Generalization Properties of NAS under Activation and Skip Connection
  Search

Distributed Sparse Linear Regression with Sublinear Communication

MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via
  Mixing Recurrent Soft Decision Trees

Number of Attention Heads vs Number of Transformer-Encoders in Computer
  Vision

Face Shape-Guided Deep Feature Alignment for Face Recognition Robust to
  Face Misalignment

ProAPT: Projection of APT Threats with Deep Reinforcement Learning

Improving Mitosis Detection Via UNet-based Adversarial Domain
  Homogenizer

Are Deep Learning-Generated Social Media Profiles Indistinguishable from
  Real Profiles?

NU-net: An Unpretentious Nested U-net for Breast Tumor Segmentation

A First Application of Collaborative Learning In Particle Physics

VS-CAM: Vertex Semantic Class Activation Mapping to Interpret Vision

Revisiting the Practical Effectiveness of Constituency Parse Extraction
  from Pre-trained Language Models

How to solve a classification problem using a cooperative tiling
  Multi-Agent System?

Challenges and Opportunities of Machine Learning for Monitoring and
  Operational Data Analytics in Quantitative Codesign of Supercomputers

On the detrimental effect of invariances in the likelihood for
  variational inference

PTab: Using the Pre-trained Language Model for Modeling Tabular Data

Machine learning based modeling of disordered elemental semiconductors:
  understanding the atomic structure of a-Si and a-C

Domain Adversarial Training on Conditional Variational Auto-Encoder for
  Controllable Music Generation

HARP: Autoregressive Latent Video Prediction with High-Fidelity Image
  Generator

COOL-MC: A Comprehensive Tool for Reinforcement Learning and Model
  Checking

Forgetting to Remember: A Scalable Incremental Learning Framework for
  Cross-Task Blind Image Quality Assessment

How Much Does It Cost to Train a Machine Learning Model over Distributed
  Data Sources?

4DenoiseNet: Adverse Weather Denoising from Adjacent Point Clouds

Align, Reason and Learn: Enhancing Medical Vision-and-Language
  Pre-training with Knowledge

Decentralized Learning with Separable Data: Generalization and Fast

$ρ$-GNF : A Novel Sensitivity Analysis Approach Under Unobserved
  Confounders

GNNInterpreter: A Probabilistic Generative Model-Level Explanation for

Multi-Modal Masked Autoencoders for Medical Vision-and-Language
  Pre-Training

Constrained Update Projection Approach to Safe Policy Optimization

Self-distilled Feature Aggregation for Self-supervised Monocular Depth

DEQGAN: Learning the Loss Function for PINNs with Generative Adversarial
  Networks

Layerwise Bregman Representation Learning with Applications to Knowledge

Responsible AI Implementation: A Human-centered Framework for
  Accelerating the Innovation Process

Bi-level Physics-Informed Neural Networks for PDE Constrained
  Optimization using Broyden's Hypergradients

Noise2Astro: Astronomical Image Denoising With Self-Supervised
  NeuralNetworks

Active Self-Training for Weakly Supervised 3D Scene Semantic

uChecker: Masked Pretrained Language Models as Unsupervised Chinese
  Spelling Checkers

Efficient learning of nonlinear prediction models with time-series
  privileged information

GAGA: Deciphering Age-path of Generalized Self-paced Regularizer

Exploring Visual Interpretability for Contrastive Language-Image

Towards self-attention based visual navigation in the real world

Learning-Based Adaptive Control for Stochastic Linear Systems with Input

Artificial Intelligence in Material Engineering: A review on
  applications of AI in Material Engineering

Out-of-Distribution Representation Learning for Time Series

Upper bounds on the Natarajan dimensions of some function classes

Error Controlled Feature Selection for Ultrahigh Dimensional and Highly
  Correlated Feature Space Using Deep Learning

Uncertainty-aware Efficient Subgraph Isomorphism using Graph Topology

Self-Supervised Texture Image Anomaly Detection By Fusing Normalizing
  Flow and Dictionary Learning

A Survey on the application of Data Science And Analytics in the field
  of Organised Sports

Data Science Approach to predict the winning Fantasy Cricket Team Dream
  11 Fantasy Sports

Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A
  Prompt-Based Uncertainty Propagation Approach

Learning from Future: A Novel Self-Training Framework for Semantic

Weakly Supervised Invariant Representation Learning Via Disentangling
  Known and Unknown Nuisance Factors

Clinical Utility Gains from Incorporating Comorbidity and Geographic
  Location Information into Risk Estimation Equations for Atherosclerotic
  Cardiovascular Disease

Principles for Estimating Causal Effects in Observational Settings

Double Doubly Robust Thompson Sampling for Generalized Linear Contextual
  Bandits

Spin it as you like: the (lack of a) measurement of the spin tilt
  distribution with LIGO-Virgo-KAGRA binary black holes

ViscoelasticNet: A physics informed neural network framework for stress
  discovery and model selection

PointACL:Adversarial Contrastive Learning for Robust Point Clouds
  Representation under Adversarial Attack

Generative Visual Prompt: Unifying Distributional Control of Pre-Trained

Adversarial Correctness and Privacy for Probabilistic Data Structures

Finetuning Pretrained Vision-Language Models with Correlation
  Information Bottleneck for Robust Visual Question Answering

On the interplay of adversarial robustness and architecture components:
  patches, convolution and attention

Landmark Tracking in Liver US images Using Cascade Convolutional Neural
  Networks with Long Short-Term Memory

Spectroscopic r-Process Abundance Retrieval for Kilonovae I: The
  Inferred Abundance Pattern of Early Emission from GW170817

Use case-focused metrics to evaluate machine learning for diseases
  involving parasite loads

Improving Accuracy and Explainability of Online Handwriting Recognition

Joint Debiased Representation and Image Clustering Learning with
  Self-Supervision

TEAM: a parameter-free algorithm to teach collaborative robots motions
  from user demonstrations

Optimizing Connectivity through Network Gradients for the Restricted
  Boltzmann Machine

Robust Transferable Feature Extractors: Learning to Defend Pre-Trained
  Networks Against White Box Adversaries

End-to-End Multi-View Structure-from-Motion with Hypercorrelation
  Volumes

Prompt-based Conservation Learning for Multi-hop Question Answering

Predictive Closed-Loop Remote Control over Wireless Two-Way Split
  Koopman Autoencoder

Out of One, Many: Using Language Models to Simulate Human Samples

Lessons Learned from the Two Largest Galaxy Morphological Classification
  Catalogues built by Convolutional Neural Networks

Transferring Implicit Knowledge of Non-Visual Object Properties Across
  Heterogeneous Robot Morphologies

Vectorized Adjoint Sensitivity Method for Graph Convolutional Neural
  Ordinary Differential Equations

On the State of the Art in Authorship Attribution and Authorship
  Verification

Landmark-free Statistical Shape Modeling via Neural Flow Deformations

Data Lifecycle Management in Evolving Input Distributions for
  Learning-based Aerospace Applications

Neural Point-based Shape Modeling of Humans in Challenging Clothing

Will there be a construction? Predicting road constructions based on
  heterogeneous spatiotemporal data

Accuracy, Fairness, and Interpretability of Machine Learning Criminal
  Recidivism Models

Empowering GNNs with Fine-grained Communication-Computation Pipelining
  on Multi-GPU Platforms

Decoupled Pronunciation and Prosody Modeling in Meta-Learning-Based
  Multilingual Speech Synthesis

Parameter-Efficient Finetuning for Robust Continual Multilingual
  Learning

Falsification of Cyber-Physical Systems using Bayesian Optimization

Toward Improving Health Literacy in Patient Education Materials with
  Neural Machine Translation Models

Modelling Technical and Biological Effects in scRNA-seq data with
  Scalable GPLVMs

The dGLI Cloth Coordinates: A Topological Representation for Semantic
  Classification of Cloth States

Natural Language Inference Prompts for Zero-shot Emotion Classification
  in Text across Corpora

Solutions to preference manipulation in recommender systems require
  knowledge of meta-preferences

Cornucopia: A Framework for Feedback Guided Generation of Binaries

FreeGaze: Resource-efficient Gaze Estimation via Frequency Domain

Virtual Inertia Scheduling for Power Systems with High Penetration of
  Inverter-based Resources

A Temporal Anomaly Detection System for Vehicles utilizing Functional
  Working Groups and Sensor Channels

Predicting Drug-Drug Interactions using Deep Generative Models on Graphs

Efficient Beam Search for Initial Access Using Collaborative Filtering

UIT-ViCoV19QA: A Dataset for COVID-19 Community-based Question Answering
  on Vietnamese Language

SPACE-3: Unified Dialog Model Pre-training for Task-Oriented Dialog

Effects of impact and target parameters on the results of a kinetic
  impactor: predictions for the Double Asteroid Redirection Test (DART) mission

Beyond Learning from Next Item: Sequential Recommendation via
  Personalized Interest Sustainability

SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for
  Task-Oriented Dialog Understanding

Integrating Form and Meaning: A Multi-Task Learning Model for Acoustic
  Word Embeddings

NAAP-440 Dataset and Baseline for Neural Architecture Accuracy

Distributed Multi-Robot Obstacle Avoidance via Logarithmic Map-based
  Deep Reinforcement Learning

Distributionally Robust Offline Reinforcement Learning with Linear
  Function Approximation

Distribution Calibration for Out-of-Domain Detection with Bayesian

Analysis of Reinforcement Learning for determining task replication in
  workflows

PlaStIL: Plastic and Stable Memory-Free Class-Incremental Learning

Learning state correspondence of reinforcement learning tasks for
  knowledge transfer

Towards Better Generalization with Flexible Representation of
  Multi-Module Graph Neural Networks

Combining Metric Learning and Attention Heads For Accurate and Efficient
  Multilabel Image Classification

C^2:Co-design of Robots via Concurrent Networks Coupling Online and
  Offline Reinforcement Learning

Modifying Squint for Prediction with Expert Advice in a Changing

INV-Flow2PoseNet: Light-Resistant Rigid Object Pose from Optical Flow of
  RGB-D Images using Images, Normals and Vertices

Improved proteasomal cleavage prediction with positive-unlabeled
  learning

TASKED: Transformer-based Adversarial learning for human activity
  recognition using wearable sensors via Self-KnowledgE Distillation

Collaborative SQL-injections detection system with machine learning

Tac2Structure: Object Surface Reconstruction Only through Multi Times
  Touch

A patch-based architecture for multi-label classification from single
  label annotations

Explainable AI for clinical and remote health applications: a survey on
  tabular and time series data

FCDSN-DC: An Accurate and Lightweight Convolutional Neural Network for
  Stereo Estimation with Depth Completion

ScaTE: A Scalable Framework for Self-Supervised Traversability
  Estimation in Unstructured Environments

Learning to Evaluate Performance of Multi-modal Semantic Localization

Revisiting Crowd Counting: State-of-the-art, Trends, and Future

Computing XVA for American basket derivatives by Machine Learning
  techniques

ParaTTS: Learning Linguistic and Prosodic Cross-sentence Information in
  Paragraph-based TTS

Automated design of quantum optical experiments for device-independent
  quantum key distribution

A deep learning energy-based method for classical elastoplasticity

Compressed Particle-Based Federated Bayesian Learning and Unlearning

Meta-RegGNN: Predicting Verbal and Full-Scale Intelligence Scores using
  Graph Neural Networks and Meta-Learning

Prediction Intervals and Confidence Regions for Symbolic Regression
  Models based on Likelihood Profiles

Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand
  Rare Biomedical Words

TrADe Re-ID -- Live Person Re-Identification using Tracking and Anomaly
  Detection

Lightweight 1-D CNN-based Timing Synchronization for OFDM Systems with
  CIR Uncertainty

PainPoints: A Framework for Language-based Detection of Chronic Pain and
  Expert-Collaborative Text-Summarization

Real-world Video Anomaly Detection by Extracting Salient Features in
  Videos

CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language
  Representation Alignment

A Hybrid Deep Learning Model-based Remaining Useful Life Estimation for
  Reed Relay with Degradation Pattern Clustering

Efficient low-thrust trajectory data generation based on generative
  adversarial network

SCULPTOR: Skeleton-Consistent Face Creation Using a Learned Parametric
  Generator

Language Chameleon: Transformation analysis between languages using
  Cross-lingual Post-training based on Pre-trained language models

Graph Perceiver IO: A General Architecture for Graph Structured Data

Considering Image Information and Self-similarity: A Compositional
  Denoising Network

ImageArg: A Multi-modal Tweet Dataset for Image Persuasiveness Mining

DMCA: Dense Multi-agent Navigation using Attention and Communication

Continuous longitudinal fetus brain atlas construction via implicit
  neural representation

Noise2SR: Learning to Denoise from Super-Resolved Single Noisy
  Fluorescence Image

Meta Pattern Concern Score: A Novel Metric for Customizable Evaluation
  of Multi-classification

Viewer-Centred Surface Completion for Unsupervised Domain Adaptation in
  3D Object Detection

A Survey on Evolutionary Computation for Computer Vision and Image
  Analysis: Past, Present, and Future Trends

Federated Learning based on Defending Against Data Poisoning Attacks in
  IoT

Point Cloud Registration-Driven Robust Feature Matching for 3D Siamese
  Object Tracking

Classical Sequence Match is a Competitive Few-Shot One-Class Learner

Joint User and Data Detection in Grant-Free NOMA with Attention-based
  BiLSTM Network

Jointly Contrastive Representation Learning on Road Network and
  Trajectory

TSFool: Crafting High-quality Adversarial Time Series through
  Multi-objective Optimization to Fool Recurrent Neural Network Classifiers

Self-Supervised Clustering on Image-Subtracted Data with Deep-Embedded
  Self-Organizing Map

SEEK: model extraction attack against hybrid secure inference protocols

Data-Driven Machine Learning Models for a Multi-Objective Flapping Fin
  Unmanned Underwater Vehicle Control System

A Review and Roadmap of Deep Learning Causal Discovery in Different
  Variable Paradigms

I2CR: Improving Noise Robustness on Keyword Spotting Using Inter-Intra
  Contrastive Regularization

Law Informs Code: A Legal Informatics Approach to Aligning Artificial
  Intelligence with Humans

Federated Pruning: Improving Neural Network Efficiency with Federated
  Learning

Using Rater and System Metadata to Explain Variance in the VoiceMOS
  Challenge 2022 Dataset

DASH: Visual Analytics for Debiasing Image Classification via
  User-Driven Synthetic Data Augmentation

A Simple Approach for State-Action Abstraction using a Learned MDP
  Homomorphism

Tuple Packing: Efficient Batching of Small Graphs in Graph Neural
  Networks

Label Refinement Network from Synthetic Error Augmentation for Medical

Analytics and Machine Learning Powered Wireless Network Optimization and
  Planning

DevNet: Self-supervised Monocular Depth Learning via Density Volume
  Construction

CNN-Trans-Enc: A CNN-Enhanced Transformer-Encoder On Top Of Static BERT
  representations for Document Classification

DMMGAN: Diverse Multi Motion Prediction of 3D Human Joints using
  Attention-Based Generative Adverserial Network

Collective Adaptation in Multi-Agent Systems: How Predator Confusion
  Shapes Swarm-Like Behaviors

Active Perception Applied To Unmanned Aerial Vehicles Through Deep

Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Deep
  Reinforcement Learning Through Environmental Generalization

Learning Category-Level Manipulation Tasks from Point Clouds with
  Dynamic Graph CNNs

Deterministic and Stochastic Analysis of Deep Reinforcement Learning for
  Low Dimensional Sensing-based Navigation of Mobile Robots

Differentially Private Genomic Data Release For GWAS Reproducibility

FaceTopoNet: Facial Expression Recognition using Face Topology Learning

Placing Human Animations into 3D Scenes by Learning Interaction- and
  Geometry-Driven Keyframes

Using machine learning to investigate the populations of dusty evolved
  stars in various metallicities

PINCH: An Adversarial Extraction Attack Framework for Deep Learning
  Models

Data-adaptive Transfer Learning for Translation: A Case Study in Haitian
  and Jamaican

Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks
  from The New Yorker Caption Contest

Warm Start Active Learning with Proxy Labels \& Selection via
  Semi-Supervised Fine-Tuning

PANCETTA: Phoneme Aware Neural Completion to Elicit Tongue Twisters
  Automatically

MLT-LE: predicting drug-target binding affinity with multi-task residual

Observation of Distinct Phase Transitions in a Nonlinear Optical Ising
  Machine

Automated detection of pronunciation errors in non-native English speech
  employing deep learning

High-resolution semantically-consistent image-to-image translation

Unifying Causal Inference and Reinforcement Learning using Higher-Order
  Category Theory

Real2Sim2Real Transfer for Control of Cable-driven Robots via a
  Differentiable Physics Engine

Designing Biological Sequences via Meta-Reinforcement Learning and

SciMED: A Computational Framework For Physics-Informed Symbolic
  Regression with Scientist-In-The-Loop

Structural changes in nonlocal denoising models arising through bi-level
  parameter learning

CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared
  Task

Improving Self-Supervised Learning by Characterizing Idealized

A Benchmark and a Baseline for Robust Multi-view Depth Estimation

HistoPerm: A Permutation-Based View Generation Approach for Learning
  Histopathologic Feature Representations

A simulation experiment of a pipeline based on machine learning for
  neutral hydrogen intensity mapping surveys

Characterizing Graph Datasets for Node Classification: Beyond
  Homophily-Heterophily Dichotomy

Tractable hierarchies of convex relaxations for polynomial optimization
  on the nonnegative orthant

Comparative analysis of segmentation and generative models for
  fingerprint retrieval task

PET image denoising based on denoising diffusion probabilistic models

Automatic Segmentation of the Great Arteries for Computational
  Hemodynamic Assessment

Evaluating individualized treatment effect predictions: a new
  perspective on discrimination and calibration assessment

Analysis of Self-Attention Head Diversity for Conformer-based Automatic

Learning to Solve Multiple-TSP with Time Window and Rejections via Deep

Approaching Digital Humanities at the University: a Cultural Challenge

Improving Language Model Prompting in Support of Semi-autonomous Task
  Learning

Acoustic-Linguistic Features for Modeling Neurological Task Score in
  Alzheimer's

DOMINO: Domain-aware Model Calibration in Medical Image Segmentation

A CMOL-Like Memristor-CMOS Neuromorphic Chip-Core Demonstrating
  Stochastic Binary STDP

SeRP: Self-Supervised Representation Learning Using Perturbed Point
  Clouds

SongDriver: Real-time Music Accompaniment Generation without Logical
  Latency nor Exposure Bias

Investigating the Predictive Reproducibility of Federated Graph Neural
  Networks using Medical Datasets

Generalized Intent Discovery: Learning from Open World Dialogue System

The BlueMUSE data reduction pipeline: lessons learned from MUSE and
  first design choices

Proactive slip control by learned slip model and trajectory adaptation

Predicting probability distributions for cancer therapy drug selection

Deep Cross-Modality and Resolution Graph Integration for Universal Brain
  Connectivity Mapping and Augmentation

Predicting Brain Multigraph Population From a Single Graph Template for
  Boosting One-Shot Classification

Detection of Malicious Websites Using Machine Learning Techniques

Certified Defences Against Adversarial Patch Attacks on Semantic

A Distributed Acoustic Sensor System for Intelligent Transportation
  using Deep Learning

Don't Judge a Language Model by Its Last Layer: Contrastive Learning
  with Layer-Wise Attention Pooling

Weakly-Supervised Stitching Network for Real-World Panoramic Image

A probabilistic deep learning model to distinguish cusps and cores in
  dwarf galaxies

Adversarial Inter-Group Link Injection Degrades the Fairness of Graph

A Learning-Based Trajectory Planning of Multiple UAVs for AoI
  Minimization in IoT Networks

Document-aware Positional Encoding and Linguistic-guided Encoding for
  Abstractive Multi-document Summarization

SVNet: Where SO(3) Equivariance Meets Binarization on Point Cloud

Document Image Binarization in JPEG Compressed Domain using Dual
  Discriminator Generative Adversarial Networks

SpaDE: Improving Sparse Representations using a Dual Document Encoder
  for First-stage Retrieval

A Robust Scientific Machine Learning for Optimization: A Novel
  Robustness Theorem

Binaural Signal Representations for Joint Sound Event Detection and
  Acoustic Scene Classification

Investigating Bias with a Synthetic Data Generator: Empirical Evidence
  and Philosophical Interpretation

R-WhONet: Recalibrated Wheel Odometry Neural Network for Vehicular
  Positioning using Transfer Learning

Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity
  Matching

HEARTS: Multi-task Fusion of Dense Retrieval and Non-autoregressive
  Generation for Sponsored Search

A new Reinforcement Learning framework to discover natural flavor
  molecules

Scheduling Algorithms for Federated Learning with Minimal Energy
  Consumption

Weight-based Channel-model Matrix Framework provides a reasonable
  solution for EEG-based cross-dataset emotion recognition

Continuous Design Control for Machine Learning in Certified Medical
  Systems

Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic

Visual Recipe Flow: A Dataset for Learning Visual State Changes of
  Objects with Recipe Flows

Sparse deep neural networks for modeling aluminum electrolysis dynamics

Addressing overfitting in spectral clustering via a non-parametric
  bootstrap

Molecular Design Based on Integer Programming and Quadratic Descriptors
  in a Two-layered Model

Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass
  Detection

Analyzing the Impact of Varied Window Hyper-parameters on Deep CNN for
  sEMG based Motion Intent Classification

Learning Agent-Aware Affordances for Closed-Loop Interaction with
  Articulated Objects

Model Predictive Control for Dynamic Cloth Manipulation: Parameter
  Learning and Experimental Validation

A Neural Network-based SAT-Resilient Obfuscation Towards Enhanced Logic
  Locking

SFS-A68: a dataset for the segmentation of space functions in apartment
  buildings

Interpretable Machine Learning for Power Systems: Establishing
  Confidence in SHapley Additive exPlanations

Self-supervised motion descriptor for cardiac phase detection in 4D CMR
  based on discrete vector field estimations

Look Before You Leap: Improving Text-based Person Retrieval by Learning
  A Consistent Cross-modal Common Manifold

CAIBC: Capturing All-round Information Beyond Color for Text-based
  Person Retrieval

DeepNoise: Disentanglement of Experimental Noise from Real Biological
  Signals based on Fluorescent Microscopy Image Classification via Deep
  Learning

Moving from 2D to 3D: volumetric medical image classification for rectal
  cancer staging

A Survey on Mobile Edge Computing for Video Streaming: Opportunities and

Genie: A new, fast, and outlier-resistant hierarchical clustering
  algorithm

A Dual-Arm Collaborative Framework for Dexterous Manipulation in
  Unstructured Environments with Contrastive Planning

OCR for TIFF Compressed Document Images Directly in Compressed Domain
  Using Text segmentation and Hidden Markov Model

Neural3Points: Learning to Generate Physically Realistic Full-body
  Motion for Virtual Reality Users

A Tale of HodgeRank and Spectral Method: Target Attack Against Rank
  Aggregation Is the Fixed Point of Adversarial Game

CMR3D: Contextualized Multi-Stage Refinement for 3D Object Detection

RTAW: An Attention Inspired Reinforcement Learning Method for
  Multi-Robot Task Allocation in Warehouse Environments

Data efficient reinforcement learning and adaptive optimal perimeter
  control of network traffic dynamics

A Capsule Network for Hierarchical Multi-Label Image Classification

Socially Enhanced Situation Awareness from Microblogs using Artificial
  Intelligence: A Survey

Data-Driven Spectral Submanifold Reduction for Nonlinear Optimal Control
  of High-Dimensional Robots

Generalization Bounds for Deep Transfer Learning Using Majority
  Predictor Accuracy

Robin: A Novel Online Suicidal Text Corpus of Substantial Breadth and
  Scale

Independent Learning in Mean-Field Games: Satisficing Paths and
  Convergence to Subjective Equilibria

Rethink about the Word-level Quality Estimation for Machine Translation
  from Human Judgement

Sample Complexity of an Adversarial Attack on UCB-based Best-arm
  Identification Policy

One-shot Network Pruning at Initialization with Discriminative Image
  Patches

CovidMis20: COVID-19 Misinformation Detection System on Twitter Tweets
  using Deep Learning Models

Unsupervised representational learning with recognition-parametrised
  probabilistic models

Skip Training for Multi-Agent Reinforcement Learning Controller for
  Industrial Wave Energy Converters

Semantic2Graph: Graph-based Multi-modal Feature Fusion for Action
  Segmentation in Videos

Finite Sample Guarantees for Distributed Online Parameter Estimation
  with Communication Costs

Social-PatteRNN: Socially-Aware Trajectory Prediction Guided by Motion
  Patterns

Bending the Future: Autoregressive Modeling of Temporal Knowledge Graphs
  in Curvature-Variable Hyperbolic Spaces

Blind Calibration of Quantum Devices over Noisy Quantum Channels

Leveraging Large Language Models for Robot 3D Scene Understanding

SENDER: SEmi-Nonlinear Deep Efficient Reconstructor for Extraction
  Canonical, Meta, and Sub Functional Connectivity in the Human Brain

Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering
  of Neural Features

Checklist Models for Improved Output Fluency in Piano Fingering

A Neural Network Approach to Predict Gibbs Free Energy of Ternary Solid
  Solutions

Driving Safety Prediction and Safe Route Mapping Using In-vehicle and
  Roadside Data

It's Not Fairness, and It's Not Fair: The Failure of Distributional
  Equality and the Promise of Relational Equality in Complete-Information
  Hiring Games

BayesLDM: A Domain-Specific Language for Probabilistic Modeling of
  Longitudinal Data

Intrusion Detection Systems Using Support Vector Machines on the
  KDDCUP'99 and NSL-KDD Datasets: A Comprehensive Survey

Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated
  Learning using Independent Component Analysis

Uncovering Regions of Maximum Dissimilarity on Random Process Data

Deep Reinforcement Learning for Cryptocurrency Trading: Practical
  Approach to Address Backtest Overfitting

Spectral decomposition of atomic structures in heterogeneous cryo-EM

Identification of Cognitive Workload during Surgical Tasks with
  Multimodal Deep Learning

Towards a case-based learning approach to support software architecture
  education

Model-based Reinforcement Learning with Multi-step Plan Value Estimation

Generalization despite overfitting in quantum machine learning models

TEDL: A Two-stage Evidential Deep Learning Method for Classification
  Uncertainty Quantification

VBF vs. GGF Higgs with Full-Event Deep Learning: Towards a
  Decay-Agnostic Tagger

Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation

Boosting Robustness Verification of Semantic Feature Neighborhoods

3DFaceShop: Explicitly Controllable 3D-Aware Portrait Generation

Self-supervised Wide Baseline Visual Servoing via 3D Equivariance

Elastic Context: Encoding Elasticity for Data-driven Models of Textiles

Towards More Efficient Data Valuation in Healthcare Federated Learning
  using Ensembling

Statistical Learning Theory for Control: A Finite Sample Perspective

Landmark Enhanced Multimodal Graph Learning for Deepfake Video Detection

On Faithfulness and Coherence of Language Explanations for
  Recommendation Systems

Deterministic Sequencing of Exploration and Exploitation for

Communication-Efficient and Privacy-Preserving Feature-based Federated

Factual and Informative Review Generation for Explainable Recommendation

Action-based Early Autism Diagnosis Using Contrastive Feature Learning

Convergence of Batch Stochastic Gradient Descent Methods with
  Approximate Gradients and/or Noisy Measurements: Theory and Computational
  Results

Model interpretation using improved local regression with variable
  importance

A framework for a generalisation analysis of machine-learned interatomic
  potentials

If Influence Functions are the Answer, Then What is the Question?

Predicting students' learning styles using regression techniques

Locally Weighted Regression with different Kernel Smoothers for Software
  Effort Estimation

VL-Taboo: An Analysis of Attribute-based Zero-shot Capabilities of

Self-supervised Sequential Information Bottleneck for Robust Exploration
  in Deep Reinforcement Learning

Generating Functions and Automatic Differentiation for
  Photon-Number-Resolved Simulations with Multimode Gaussian States

A Temporal Graphlet Kernel for Classifying Dissemination in Evolving
  Networks

Delving into the Devils of Bird's-eye-view Perception: A Review,
  Evaluation and Recipe

Deep Feature Statistics Mapping for Generalized Screen Content Image

Understanding Time Variations of DNN Inference in Autonomous Driving

On the Factory Floor: ML Engineering for Industrial-Scale Ads
  Recommendation Models

GenLoco: Generalized Locomotion Controllers for Quadrupedal Robots

An Evaluation of Low Overhead Time Series Preprocessing Techniques for
  Downstream Machine Learning

DoubleMix: Simple Interpolation-Based Data Augmentation for Text

Active Learning and Approximate Model Calibration for Automated Visual
  Inspection in Manufacturing

A Review of Challenges in Machine Learning based Automated Hate Speech
  Detection

Fairness in Forecasting of Observations of Linear Dynamical Systems

The 2022 Far-field Speaker Verification Challenge: Exploring domain
  mismatch and semi-supervised learning under the far-field scenario

Detecting Driver Drowsiness as an Anomaly Using LSTM Autoencoders

CustOmics: A versatile deep-learning based strategy for multi-omics
  integration

On the Energy Consumption of Different Dataframe Processing Libraries --
  An Exploratory Study

TruVR: Trustworthy Cybersickness Detection using Explainable Machine
  Learning

A Causal-based Approach to Explain, Predict and Prevent Failures in

SmartKex: Machine Learning Assisted SSH Keys Extraction From The Heap
  Dump

$β$-CapsNet: Learning Disentangled Representation for CapsNet by
  Information Bottleneck

Style Variable and Irrelevant Learning for Generalizable Person
  Re-identification

DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation
  Framework for Efficient Device Model Generalization

Efficient Customer Service Combining Human Operators and Virtual Agents

A Review on Visual-SLAM: Advancements from Geometric Modelling to
  Learning-based Semantic Scene Understanding

Learning Dense Visual Descriptors using Image Augmentations for Robot
  Manipulation Tasks

Structured Recognition for Generative Models with Explaining Away

Learning Obstacle-Avoiding Lattice Paths using Swarm Heuristics:
  Exploring the Bijection to Ordered Trees

Statistical Estimation of Confounded Linear MDPs: An Instrumental
  Variable Approach

Evolution of trust in a hierarchical population with punishing investors

On topological data analysis for SHM; an introduction to persistent
  homology

Global Prototype Encoding for Incremental Video Highlights Detection

How Much Does Prosody Help Turn-taking? Investigations using Voice
  Activity Projection Models

Prototypical few-shot segmentation for cross-institution male pelvic
  structures with spatial registration

Cross-Coupled Iterative Learning Control for Complex Systems: A
  Monotonically Convergent and Computationally Efficient Approach

Detecting Network-based Internet Censorship via Latent Feature

A Comparative Study of Classical and Quantum Machine Learning Models for
  Sentimental Analysis

Automated MIMO Motion Feedforward Control: Efficient Learning through
  Data-Driven Gradients via Adjoint Experiments and Stochastic Approximation

HandMime: Sign Language Fingerspelling Acquisition via Imitation
  Learning

On topological data analysis for structural dynamics: an introduction to
  persistent homology

Operational solar flare forecasting via video-based deep learning

Data Augmentation by Selecting Mixed Classes Considering Distance
  Between Classes

Online Continual Learning via the Meta-learning Update with Multi-scale
  Knowledge Distillation and Data Augmentation

Continuous head-related transfer function representation based on
  hyperspherical harmonics

Ordinal Graph Gamma Belief Network for Social Recommender Systems

Robust Data-Driven 3-D Shape Servoing of Unmodeled Continuum Robots
  Using FBG Sensors in Unstructured Environments

Bilevel Optimization for Feature Selection in the Data-Driven Newsvendor
  Problem

Explaining Predictions from Machine Learning Models: Algorithms, Users,
  and Pedagogy

Bayesian Learning for Disparity Map Refinement for Semi-Dense Active
  Stereo Vision

Survey on Machine Learning for Traffic-Driven Service Provisioning in
  Optical Networks

Innovative ideas for teaching supports: Application to Graph theory

BON: An extended public domain dataset for human activity recognition

Hard Negatives or False Negatives: Correcting Pooling Bias in Training
  Neural Ranking Models

Learning Affects Trust: Design Recommendations and Concepts for Teaching
  Children -- and Nearly Anyone -- about Conversational Agents

Modeling the High-Pressure Solid and Liquid Phases of Tin from Deep
  Potentials with ab initio Accuracy

CARE: Certifiably Robust Learning with Reasoning via Variational
  Inference

High-Fidelity Variable-Rate Image Compression via Invertible Activation

Software Resurrection: Discovering Programming Pearls by Showing
  Modernity to Historical Software

Hyperbolic Self-supervised Contrastive Learning Based Network Anomaly
  Detection

Gradient-Free Methods for Deterministic and Stochastic Nonsmooth

On the Optimization Landscape of Dynamic Output Feedback: A Case Study
  for Linear Quadratic Regulator

The impact of topology on the open shell characters of benzenoid
  polycyclic hydrocarbons: a data driven study

SANCL: Multimodal Review Helpfulness Prediction with Selective Attention
  and Natural Contrastive Learning

TMSS: An End-to-End Transformer-based Multimodal Network for
  Segmentation and Survival Prediction

Self-Supervised Coordinate Projection Network for Sparse-View Computed
  Tomography

Vision Transformer with Convolutional Encoder-Decoder for Hand Gesture
  Recognition using 24 GHz Doppler Radar

Graph Polynomial Convolution Models for Node Classification of
  Non-Homophilous Graphs

An Investigation of Smart Contract for Collaborative Machine Learning
  Model Training

Generate novel and robust samples from data: accessible sharing without
  privacy concerns

Large-scale atomistic simulation of dislocation core structure in
  face-centered cubic metal with Deep Potential method

Numerical approximation based on deep convolutional neural network for
  high-dimensional fully nonlinear merged PDEs and 2BSDEs

A novel learning-based robust model predictive control energy management
  strategy for fuel cell electric vehicles

Knowledge Base Question Answering: A Semantic Parsing Perspective

A Molecular Multimodal Foundation Model Associating Molecule Graphs with
  Natural Language

Tutorial Recommendation for Livestream Videos using Discourse-Level
  Consistency and Ontology-Based Filtering

Efficient Approximate Kernel Based Spike Sequence Classification

Unsupervised Learning of 3D Scene Flow with 3D Odometry Assistance

Toward a Framework for Adaptive Impedance Control of an Upper-limb
  Prosthesis

Exploiting Expert Knowledge for Assigning Firms to Industries: A Novel
  Deep Learning Method

Resisting Deep Learning Models Against Adversarial Attack
  Transferability via Feature Randomization

Analysing the Predictivity of Features to Characterise the Search Space

Vec2Face-v2: Unveil Human Faces from their Blackbox Features via
  Attention-based Network in Face Recognition

Public Reaction to Scientific Research via Twitter Sentiment Prediction

Instruction-driven history-aware policies for robotic manipulations

Patching Weak Convolutional Neural Network Models through Modularization
  and Composition

A Statistical Perspective for Predicting the Strength of Metals:
  Revisiting the Hall-Petch Relationship using Machine Learning

Applying wav2vec2 for Speech Recognition on Bengali Common Voices
  Dataset

Communication-efficient Quantum Algorithm for Distributed Machine
  Learning

A Complex Network based Graph Embedding Method for Link Prediction

Statistical mechanics of deep learning beyond the infinite-width limit

Subquadratic Kronecker Regression with Applications to Tensor

Data-Driven Blind Synchronization and Interference Rejection for Digital
  Communication Signals

Adaptive Perturbation-Based Gradient Estimation for Discrete Latent
  Variable Models

Performance-Driven Controller Tuning via Derivative-Free Reinforcement
  Learning

OpenMixup: Open Mixup Toolbox and Benchmark for Visual Representation
  Learning

Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image

Joint Activity Detection and Channel Estimation for Massive IoT Access
  Based on Millimeter-Wave/Terahertz Multi-Panel Massive MIMO

Continual Learning for Pose-Agnostic Object Recognition in 3D Point
  Clouds

Efficiency Evaluation of Banks with Many Branches using a Heuristic
  Framework and Dynamic Data Envelopment Optimization Approach: A Real Case
  Study

Local-Aware Global Attention Network for Person Re-Identification

Graphon Mean-Field Control for Cooperative Multi-Agent Reinforcement
  Learning

Deep Learning Based DOA Estimation for Hybrid Massive MIMO Receive Array
  with Overlapped Subarrays

Examining Uniqueness and Permanence of the WAY EEG GAL dataset toward
  User Authentication

Pathfinding in Random Partially Observable Environments with
  Vision-Informed Deep Reinforcement Learning

Learning to diagnose common thorax diseases on chest radiographs from
  radiology reports in Vietnamese

Temporal Pattern Mining for Analysis of Longitudinal Clinical Data:
  Identifying Risk Factors for Alzheimer's Disease

Towards Understanding the Faults of JavaScript-Based Deep Learning
  Systems

Analyzing Wearables Dataset to Predict ADLs and Falls: A Pilot Study

Leveraging Language Foundation Models for Human Mobility Forecasting

Optimization of the fluid model of scheduling: local predictions

Active Learning for Optimal Intervention Design in Causal Models

Unsupervised Liu-type Shrinkage Estimators for Mixture of Regression
  Models

Anticipating the Unseen Discrepancy for Vision and Language Navigation

Variational Autoencoder Kernel Interpretation and Selection for

Shape Analysis for Pediatric Upper Body Motor Function Assessment

People detection and social distancing classification in smart cities
  for COVID-19 by using thermal images and deep learning algorithms

Adaptive Meta-learner via Gradient Similarity for Few-shot Text

Explainable Image Quality Assessments in Teledermatological Photography

Symbolic Knowledge Extraction from Opaque Predictors Applied to
  Cosmic-Ray Data Gathered with LISA Pathfinder

Cooperation and Competition: Flocking with Evolutionary Multi-Agent

Distributed Learning over a Wireless Network with Non-coherent Majority
  Vote Computation

Simple and Effective Gradient-Based Tuning of Sequence-to-Sequence
  Models

IR-LPR: Large Scale of Iranian License Plate Recognition Dataset

Boltzmann mean-field game model for knowledge growth: limits to learning
  and general utilities

APTx: better activation function than MISH, SWISH, and ReLU's variants
  used in deep learning

OmDet: Language-Aware Object Detection with Large-scale Vision-Language
  Multi-dataset Pre-training

Ask Before You Act: Generalising to Novel Environments by Asking
  Questions

CosmoGridV1: a simulated $w$CDM theory prediction for map-level
  cosmological inference

An Interactive Automation for Human Biliary Tree Diagnosis Using
  Computer Vision

Examining stability of machine learning methods for predicting dementia
  at early phases of the disease

Deriving dilaton potential in improved holographic QCD from chiral
  condensate

A Comparative Study on Unsupervised Anomaly Detection for Time Series:
  Experiments and Analysis

Adversarial Learning-based Stance Classifier for COVID-19-related Health
  Policies

Self-supervised Learning for Panoptic Segmentation of Multiple Fruit
  Flower Species

Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point
  Problems

Preserving Privacy in Federated Learning with Ensemble Cross-Domain
  Knowledge Distillation

Self-supervised Human Mesh Recovery with Cross-Representation Alignment

Unsupervised Domain Adaptation for Extra Features in the Target Domain
  Using Optimal Transport

Causal Intervention for Fairness in Multi-behavior Recommendation

Extended Feature Space-Based Automatic Melanoma Detection System

Bayesian Algorithm Execution for Tuning Particle Accelerator Emittance
  with Partial Measurements

Share the Tensor Tea: How Databases can Leverage the Machine Learning
  Ecosystem

The Bayan Algorithm: Detecting Communities in Networks Through Exact and
  Approximate Optimization of Modularity

Deep Baseline Network for Time Series Modeling and Anomaly Detection

Sample Complexity Bounds for Learning High-dimensional Simplices in
  Noisy Regimes

Automatically Score Tissue Images Like a Pathologist by Transfer
  Learning

Neural Networks for Local Search and Crossover in Vehicle Routing: A
  Possible Overkill?

Alternating Direction Method of Multipliers for Decomposable
  Saddle-Point Problems

Learning Enabled Fast Planning and Control in Dynamic Environments with
  Intermittent Information

DeID-VC: Speaker De-identification via Zero-shot Pseudo Voice Conversion

Gluformer: Transformer-Based Personalized Glucose Forecasting with

Affinity-VAE for disentanglement, clustering and classification of
  objects in multidimensional image data

Deep Learning with Non-Linear Factor Models: Adaptability and Avoidance
  of Curse of Dimensionality

Online Beam Learning with Interference Nulling for Millimeter Wave MIMO
  Systems

Parameterized Linear Power Flow for High Fidelity Voltage Solutions in
  Distribution Systems

DeepSTI: Towards Tensor Reconstruction using Fewer Orientations in
  Susceptibility Tensor Imaging

Fine-grain Inference on Out-of-Distribution Data with Hierarchical

Granger Causal Chain Discovery for Sepsis-Associated Derangements via
  Multivariate Hawkes Processes

Mixed $\mathcal{H}_2/\mathcal{H}_\infty$ LQ Games for Robust Policy
  Optimization Under Unknown Dynamics

Dynamic zoom-in detection of exfoliated two-dimensional crystals using

Investigation of a Machine learning methodology for the SKA pulsar
  search pipeline

Private Read Update Write (PRUW) in Federated Submodel Learning (FSL):
  Communication Efficient Schemes With and Without Sparsification

GRASP-Net: Geometric Residual Analysis and Synthesis for Point Cloud

Restoring AC Power Flow Feasibility from Relaxed and Approximated
  Optimal Power Flow Models

A Semi-Supervised Algorithm for Improving the Consistency of
  Crowdsourced Datasets: The COVID-19 Case Study on Respiratory Disorder

Risk-Averse Multi-Armed Bandits with Unobserved Confounders: A Case
  Study in Emotion Regulation in Mobile Health

T-NER: An All-Round Python Library for Transformer-based Named Entity

Multi-objective hyperparameter optimization with performance uncertainty

Bridging the Gap: Differentially Private Equivariant Deep Learning for
  Medical Image Analysis

Design of a Supervisory Control System for Autonomous Operation of
  Advanced Reactors

Estimating Heterogeneous Bounds for Treatment Effects under Sample
  Selection and Non-response

Saliency Guided Adversarial Training for Learning Generalizable Features
  with Applications to Medical Imaging Classification System

Towards Confidence-guided Shape Completion for Robotic Applications

Automatic Readability Assessment of German Sentences with Transformer
  Ensembles

Continual learning benefits from multiple sleep mechanisms: NREM, REM,
  and Synaptic Downscaling

Robust-by-Design Classification via Unitary-Gradient Neural Networks

Deep learning-based Crop Row Following for Infield Navigation of
  Agri-Robots

Temporally Adjustable Longitudinal Fluid-Attenuated Inversion Recovery
  MRI Estimation / Synthesis for Multiple Sclerosis

Residual-Quantile Adjustment for Adaptive Training of Physics-informed

Location-Routing Planning for Last-Mile Deliveries Using Mobile Parcel
  Lockers: A Hybrid Q-Learning Network Approach

Shapley value-based approaches to explain the robustness of classifiers
  in machine learning

EchoCoTr: Estimation of the Left Ventricular Ejection Fraction from
  Spatiotemporal Echocardiography

Survey on Deep Fuzzy Systems in regression applications: a view on

Pathology Synthesis of 3D Consistent Cardiac MR Im-ages Using 2D VAEs
  and GANs

Self-supervised Learning for Heterogeneous Graph via Structure
  Information based on Metapath

Fast and Accurate Importance Weighting for Correcting Sample Bias

Autoencoder Based Iterative Modeling and Multivariate Time-Series
  Subsequence Clustering Algorithm

Selecting Related Knowledge via Efficient Channel Attention for Online

A Multi-Task Learning Model for Super Resolution of Wireless Channel
  Characteristics

Differentially Private Stochastic Gradient Descent with Low-Noise

Efficient Multi-view Clustering via Unified and Discrete Bipartite Graph
  Learning

Generative Deformable Radiance Fields for Disentangled Image Synthesis
  of Topology-Varying Objects

FLInt: Exploiting Floating Point Enabled Integer Arithmetic for
  Efficient Random Forest Inference

Explanation Method for Anomaly Detection on Mixed Numerical and
  Categorical Spaces

Exploiting Nanoelectronic Properties of Memory Chips for Prevention of
  IC Counterfeiting

Joint Caching and Transmission in the Mobile Edge Network: A Multi-Agent

ApproxTrain: Fast Simulation of Approximate Multipliers for DNN Training
  and Inference

Multi-grained Label Refinement Network with Dependency Structures for
  Joint Intent Detection and Slot Filling

SUPER-Rec: SUrrounding Position-Enhanced Representation for

Post-Quantum Oblivious Transfer from Smooth Projective Hash Functions
  with Grey Zone

Domain-specific Learning of Multi-scale Facial Dynamics for Apparent
  Personality Traits Prediction

Joint Non-parametric Point Process model for Treatments and Outcomes:
  Counterfactual Time-series Prediction Under Policy Interventions

Activity report analysis with automatic single or multispan answer
  extraction

Machine Learning-based Selection of Graph Partitioning Strategy Using
  the Characteristics of Graph Data and Algorithm

SPT-NRTL: A physics-guided machine learning model to predict
  thermodynamically consistent activity coefficients

In-situ animal behavior classification using knowledge distillation and
  fixed-point quantization

Reconstruction of Three-dimensional Scroll Wave Chaos in Opaque and
  Transparent Excitable Media using Deep Neural Networks

Joint Alignment of Multi-Task Feature and Label Spaces for Emotion Cause
  Pair Extraction

MATT: A Multiple-instance Attention Mechanism for Long-tail Music Genre

An Analysis of Deep Reinforcement Learning Agents for Text-based Games

A Memory-Related Multi-Task Method Based on Task-Agnostic Exploration

Quantitative analysis of dynamic CT imaging of methane-hydrate formation
  with a hybrid machine learning approach

PoxVerifi: An Information Verification System to Combat Monkeypox
  Misinformation

Learning Audio-Visual embedding for Person Verification in the Wild

Stochastic Compositional Optimization with Compositional Constraints

Initial Value Problem Enhanced Sampling for Closed-Loop Optimal Control
  Design with Deep Neural Networks

Improving the Environmental Perception of Autonomous Vehicles using Deep
  Learning-based Audio Classification

PhD bridge programmes as engines for access, diversity and inclusion

Boosting Sensitivity of Large-scale Online Experimentation via Dropout
  Buyer Imputation

Deep learning in a bilateral brain with hemispheric specialization

Generating Contextual Load Profiles Using a Conditional Variational

Hybrid Supervised and Reinforcement Learning for the Design and
  Optimization of Nanophotonic Structures

Dr. Neurosymbolic, or: How I Learned to Stop Worrying and Accept

Studying Drowsiness Detection Performance while Driving through Scalable
  Machine Learning Models using Electroencephalography

Assessing Lower Limb Strength using Internet-of-Things Enabled Chair and
  Processing of Time-Series Data in Google GPU Tensorflow CoLab

Uncovering the Connection Between Differential Privacy and Certified
  Robustness of Federated Learning against Poisoning Attacks

Cross-Modal Knowledge Transfer Without Task-Relevant Source Data

Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future

A Nonparametric Contextual Bandit with Arm-level Eligibility Control for
  Customer Service Routing

Q-learning Decision Transformer: Leveraging Dynamic Programming for
  Conditional Sequence Modelling in Offline RL

Towards Linearly Scaling and Chemically Accurate Global Machine Learning
  Force Fields for Large Molecules

$Δ$-PINNs: physics-informed neural networks on complex geometries

The Transfer of Entanglement Negativity at the Onset of Interactions

Using angular two-point correlations to self-calibrate the photometric
  redshift distributions of DECaLS DR9

Text-Free Learning of a Natural Language Interface for Pretrained Face
  Generators

W-Transformers : A Wavelet-based Transformer Framework for Univariate
  Time Series Forecasting

Data Feedback Loops: Model-driven Amplification of Dataset Biases

NeuralFMU: Presenting a workflow for integrating hybrid NeuralODEs into
  real world applications

Lost in Translation: Reimagining the Machine Learning Life Cycle in
  Education

A multi view multi stage and multi window framework for pulmonary artery
  segmentation from CT scans

PixTrack: Precise 6DoF Object Pose Tracking using NeRF Templates and
  Feature-metric Alignment

Riemannian Data preprocessing in Machine Learning to focus on QCD color
  structure

IDIAPers @ Causal News Corpus 2022: Efficient Causal Relation
  Identification Through a Prompt-based Few-shot Approach

Majority Vote for Distributed Differentially Private Sign Selection

Mean Field Games on Weighted and Directed Graphs via Colored Digraphons

A Framework for Evaluating Privacy-Utility Trade-off in Vertical

A Survey on Large-Population Systems and Scalable Multi-Agent

Simpler is better: Multilevel Abstraction with Graph Convolutional
  Recurrent Neural Network Cells for Traffic Prediction

SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp
  and motion optimization through diffusion

Transformer-based classification of premise in tweets related to
  COVID-19

Using Multivariate Linear Regression for Biochemical Oxygen Demand
  Prediction in Waste Water

FADE: Enabling Large-Scale Federated Adversarial Training on
  Resource-Constrained Edge Devices

Tuning arrays with rays: Physics-informed tuning of quantum dot charge
  states

Pre-Training a Graph Recurrent Network for Language Representation

T$^2$LR-Net: An Unrolling Reconstruction Network Learning Transformed
  Tensor Low-Rank prior for Dynamic MR Imaging

Participant Perceptions of a Robotic Coach Conducting Positive
  Psychology Exercises: A Systematic Analysis

Taking Advice from (Dis)Similar Machines: The Impact of Human-Machine
  Similarity on Machine-Assisted Decision-Making

Ethical and Social Considerations in Automatic Expert Identification and
  People Recommendation in Organizational Knowledge Management Systems

What and How of Machine Learning Transparency: Building Bespoke
  Explainability Tools with Interoperable Algorithmic Components

Multi-agent Performative Prediction with Greedy Deployment and Consensus
  Seeking Agents

FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness,
  Accountability and Transparency Algorithms in Predictive Systems

ReX: A Framework for Generating Local Explanations to Recurrent Neural
  Networks

Applying Transformer-based Text Summarization for Keyphrase Generation

Impact of dataset size and long-term ECoG-based BCI usage on deep
  learning decoders performance

FORLORN: A Framework for Comparing Offline Methods and Reinforcement
  Learning for Optimization of RAN Parameters

Stochastic gradient descent with gradient estimator for categorical
  features

Improved Robust Algorithms for Learning with Discriminative Feature
  Feedback

Developing a multi-variate prediction model for the detection of
  COVID-19 from Crowd-sourced Respiratory Voice Data

A crowdsourced dataset of aerial images with annotated solar
  photovoltaic arrays and installation metadata

Towards explainable evaluation of language models on the semantic
  similarity of visual concepts

Incorporating Locality of Images to Generate Targeted Transferable

Unsupervised Video Object Segmentation via Prototype Memory Network

Incremental Correction in Dynamic Systems Modelled with Neural Networks
  for Constraint Satisfaction

Training Scale-Invariant Neural Networks on the Sphere Can Happen in
  Three Regimes

Known by the company we keep: `Triadic influence' as a proxy for
  compatibility in social relationships

Learning-based and unrolled motion-compensated reconstruction for
  cardiac MR CINE imaging

Predict+Optimize for Packing and Covering LPs with Unknown Parameters in

Tag-Aware Document Representation for Research Paper Recommendation

FETA: Towards Specializing Foundation Models for Expert Task

Deep Learning for Hierarchical Beam Alignment in mmWave Communication
  Systems

Geolocation of Cultural Heritage using Multi-View Knowledge Graph
  Embedding

Enabling Connectivity for Automated Mobility: A Novel MQTT-based
  Interface Evaluated in a 5G Case Study on Edge-Cloud Lidar Object Detection

Hierarchical Graph Pooling is an Effective Citywide Traffic Condition

Application of image-to-image translation in improving pedestrian
  detection

Representing Camera Response Function by a Single Latent Variable and
  Fully Connected Neural Network

A Survey of Recent Advances in Deep Learning Models for Detecting
  Malware in Desktop and Mobile Platforms

Adaptive Combination of a Genetic Algorithm and Novelty Search for Deep
  Neuroevolution

DIY-IPS: Towards an Off-the-Shelf Accurate Indoor Positioning System

nVFNet-RDC: Replay and Non-Local Distillation Collaboration for
  Continual Object Detection

A penalized criterion for selecting the number of clusters for K-medians

An Empirical Evaluation of Posterior Sampling for Constrained

Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A
  Survey

Deuteron Structure and Form Factors: Using Inverse Potentials for
  S-waves

SOM-Net: Unrolling the Subspace-based Optimization for Solving Full-wave
  Inverse Scattering Problems

SSL-WM: A Black-Box Watermarking Approach for Encoders Pre-trained by

Does Attention Mechanism Possess the Feature of Human Reading? A
  Perspective of Sentiment Classification Task

Knowledge Based Template Machine Translation In Low-Resource Setting

MalDetConv: Automated Behaviour-based Malware Detection Framework Based
  on Natural Language Processing and Deep Learning Techniques

Optimal mesh generation for a blade passage using deep reinforcement
  learning

CWP: Instance complexity weighted channel-wise soft masks for network
  pruning

CLaCLab at SocialDisNER: Using Medical Gazetteers for Named-Entity
  Recognition of Disease Mentions in Spanish Tweets

Implicit Full Waveform Inversion with Deep Neural Representation

Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine
  Blood Values for Internet of Things Application

Solving the Stock Option Forecast problem by a numerical method for the
  Black-Scholes Equation with Machine Learning Classification Model

A Secure and Efficient Multi-Object Grasping Detection Approach for
  Robotic Arms

So Much in So Little: Creating Lightweight Embeddings of Python
  Libraries

Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D
  Image Representations

On the Near-Optimality of Local Policies in Large Cooperative

Energy Optimization of Wind Turbines via a Neural Control Policy Based
  on Reinforcement Learning Markov Chain Monte Carlo Algorithm

Multi-NeuS: 3D Head Portraits from Single Image with Neural Implicit
  Functions

The Science Gateway Community Institute's Consulting Services Program:
  Lessons for Research Software Engineering Organizations

A Greedy Algorithm for Building Compact Binary Activated Neural Networks

ScGAN: A Generative Adversarial Network to Predict Hypothetical
  Superconductors

Deep Learning-Based Automatic Diagnosis System for Developmental
  Dysplasia of the Hip

SmOOD: Smoothness-based Out-of-Distribution Detection Approach for
  Surrogate Neural Networks in Aircraft Design

Responsibility: An Example-based Explainable AI approach via Training
  Process Inspection

Physics-Guided Adversarial Machine Learning for Aircraft Systems

Foundations and Recent Trends in Multimodal Machine Learning:
  Principles, Challenges, and Open Questions

The (Un)Scalability of Heuristic Approximators for NP-Hard Search
  Problems

Data Leakage in Notebooks: Static Detection and Better Processes

A Self-Similar Sine-Cosine Fractal Architecture for Multiport
  Interferometers

Joint Learning of Deep Texture and High-Frequency Features for
  Computer-Generated Image Detection

What does a platypus look like? Generating customized prompts for
  zero-shot image classification

On the Complementarity between Pre-Training and Random-Initialization
  for Resource-Rich Machine Translation

Riemannian optimization for non-centered mixture of scaled Gaussian

Securing the Spike: On the Transferabilty and Security of Spiking Neural
  Networks to Adversarial Examples

Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are
  Conditional Entropy and Mutual Information Appropriate Measures?

Transfer Learning and Vision Transformer based State-of-Health
  prediction of Lithium-Ion Batteries

High-dimensional neural network potentials for accurate vibrational
  frequencies: The formic acid dimer benchmark

Spotting Virus from Satellites: Modeling the Circulation of West Nile
  Virus Through Graph Neural Networks

Inverse modeling of nonisothermal multiphase poromechanics using
  physics-informed neural networks

Compact and Robust Deep Learning Architecture for Fluorescence Lifetime
  Imaging and FPGA Implementation

Measuring the Interpretability of Unsupervised Representations via
  Quantized Reverse Probing

A Novel Semi-supervised Meta Learning Method for Subject-transfer
  Brain-computer Interface

Quantum reservoir neural network implementation on a Josephson mixer

INFACT: An Online Human Evaluation Framework for Conversational

Driverless road-marking Machines: Ma(r)king the Way towards the Future
  of Mobility

Real-to-Sim: Deep Learning with Auto-Tuning to Predict Residual Errors
  using Sparse Data

Concept-modulated model-based offline reinforcement learning for rapid
  generalization

An Assessment Tool for Academic Research Managers in the Third World

Distilling Deep RL Models Into Interpretable Neuro-Fuzzy Systems

Efficient Implementation of Non-linear Flow Law Using Neural Network
  into the Abaqus Explicit FEM code

Reactmine: a search algorithm for inferring chemical reaction networks
  from time series data

Automatic setup of 18 MeV electron beamline using machine learning

Morphology-preserving Autoregressive 3D Generative Modelling of the
  Brain

Power of Explanations: Towards automatic debiasing in hate speech
  detection

On the utility and protection of optimization with differential privacy
  and classic regularization techniques

Machine Learning for High-entropy Alloys: Progress, Challenges and
  Opportunities

Machine Learning-based Automatic Annotation and Detection of COVID-19
  Fake News

FasterX: Real-Time Object Detection Based on Edge GPUs for UAV

AST-GIN: Attribute-Augmented Spatial-Temporal Graph Informer Network for
  Electric Vehicle Charging Station Availability Forecasting

Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against
  Fact-Verification Systems

RF Fingerprinting Needs Attention: Multi-task Approach for Real-World
  WiFi and Bluetooth

MSSPN: Automatic First Arrival Picking using Multi-Stage Segmentation
  Picking Network

Multi-fidelity hydrodynamic analysis of an autonomous surface vehicle at
  surveying speed in deep water subject to variable payload

DM$^2$S$^2$: Deep Multi-Modal Sequence Sets with Hierarchical Modality
  Attention

A Data-driven Reduced Order Modeling Approach Applied In Context Of
  Numerical Analysis And Optimization Of Plastic Profile Extrusion

CGAN-ECT: Tomography Image Reconstruction from Electrical Capacitance
  Measurements Using CGANs

Modelling of physical systems with a Hopf bifurcation using mechanistic
  models and machine learning

Passive and Privacy-preserving Human Localization via mmWave Access
  Points for Social Distancing

Obtaining Robust Control and Navigation Policies for Multi-Robot
  Navigation via Deep Reinforcement Learning

Predicting the clinical citation count of biomedical papers using
  multilayer perceptron neural network

Plant Species Classification Using Transfer Learning by Pretrained
  Classifier VGG-19

A Review of Resource Management in Fog Computing: Machine Learning
  Perspective

MimCo: Masked Image Modeling Pre-training with Contrastive Teacher

Generative Adversarial Super-Resolution at the Edge with Knowledge

Benchmarking Multimodal Variational Autoencoders: GeBiD Dataset and
  Toolkit

Active particles using reinforcement learning to navigate in complex
  motility landscapes

Graph Neural Networks for Low-Energy Event Classification &
  Reconstruction in IceCube

Multi-Scale Attention-based Multiple Instance Learning for
  Classification of Multi-Gigapixel Histology Images

Not All Instances Contribute Equally: Instance-adaptive Class
  Representation Learning for Few-Shot Visual Recognition

Ultra-low-power Range Error Mitigation for Ultra-wideband Precise

Quantitative probing: Validating causal models using quantitative domain
  knowledge

Flow Straight and Fast: Learning to Generate and Transfer Data with
  Rectified Flow

Optimizing Demonstrated Robot Manipulation Skills for Temporal Logic

Auto-TransRL: Autonomous Composition of Vision Pipelines for Robotic

A Survey on Automated Diagnosis of Alzheimer's Disease Using Optical
  Coherence Tomography and Angiography

Learned Image Compression with Generalized Octave Convolution and
  Cross-Resolution Parameter Estimation

Shifting Perspective to See Difference: A Novel Multi-View Method for
  Skeleton based Action Recognition

Semantic Interactive Learning for Text Classification: A Constructive
  Approach for Contextual Interactions

Improving the Cross-Lingual Generalisation in Visual Question Answering

A hybrid Bayesian network for medical device risk assessment and
  management

That Slepen Al the Nyght with Open Ye! Cross-era Sequence Segmentation
  with Switch-memory

Adam Mickiewicz University at WMT 2022: NER-Assisted and Quality-Aware
  Neural Machine Translation

Difficulty-Net: Learning to Predict Difficulty for Long-Tailed

A Weakly Supervised Learning Framework for Salient Object Detection via
  Hybrid Labels

A Deep Reinforcement Learning Strategy for UAV Autonomous Landing on a
  Platform

Privacy-Preserving Deep Learning Model for Covid-19 Disease Detection

Can GAN-induced Attribute Manipulations Impact Face Recognition?

Grouping-matrix based Graph Pooling with Adaptive Number of Clusters

Adjusted Asymmetric Accuracy: A Well-Behaving External Cluster Validity
  Measure

Boundary Guided Semantic Learning for Real-time COVID-19 Lung Infection
  Segmentation System

Solving Elliptic Problems with Singular Sources using Singularity
  Splitting Deep Ritz Method

Deep Learning for Medical Imaging From Diagnosis Prediction to its
  Counterfactual Explanation

A SUMO Framework for Deep Reinforcement Learning Experiments Solving
  Electric Vehicle Charging Dispatching Problem

Hardware Acceleration of Sampling Algorithms in Sample and Aggregate

Optimal Sensor Placement in Body Surface Networks using Gaussian
  Processes

PERFECT: A Hyperbolic Embedding for Joint User and Community Alignment

Facilitating Global Team Meetings Between Language-Based Subgroups: When
  and How Can Machine Translation Help?

A Data-dependent Approach for High Dimensional (Robust) Wasserstein
  Alignment

Defending Against Backdoor Attack on Graph Nerual Network by
  Explainability

Magnitude-image based data-consistent deep learning method for MRI super
  resolution

Prior Knowledge-Guided Attention in Self-Supervised Vision Transformers

Improving Self-supervised Learning for Out-of-distribution Task via
  Auxiliary Classifier

Self-supervised multimodal neuroimaging yields predictive
  representations for a spectrum of Alzheimer's phenotypes

Interpretations Steered Network Pruning via Amortized Inferred Saliency
  Maps

DC-MRTA: Decentralized Multi-Robot Task Allocation and Navigation in
  Complex Environments

On the Convergence of Monte Carlo UCB for Random-Length Episodic MDPs

Analysis of an Induction Machine Fed by a Space Vector Modulated VSI

A spectral least-squares-type method for heavy-tailed corrupted
  regression with unknown covariance \& heterogeneous noise

Effects of Popular Science Writing Instruction on General Education
  Student Attitudes Towards Science: A Case Study in Astronomy

Inversion of Time-Lapse Surface Gravity Data for Detection of 3D CO$_2$
  Plumes via Deep Learning

Monkeypox virus detection using pre-trained deep learning-based
  approaches

DC-Art-GAN: Stable Procedural Content Generation using DC-GANs for
  Digital Art

Clarifying Theoretical Intricacies through the Use of Conceptual
  Visualization: Case of Production Theory in Advanced Microeconomics

A Zeroth-Order Momentum Method for Risk-Averse Online Convex Games

Low-Energy Convolutional Neural Networks (CNNs) using Hadamard Method

Annealing Optimization for Progressive Learning with Stochastic

CP-AGCN: Pytorch-based Attention Informed Graph Convolutional Network
  for Identifying Infants at Risk of Cerebral Palsy

Deducing Neutron Star Equation of State Parameters Directly From
  Telescope Spectra with Uncertainty-Aware Machine Learning

Fusion of Satellite Images and Weather Data with Transformer Networks
  for Downy Mildew Disease Detection

Read it to me: An emotionally aware Speech Narration Application

At-the-edge Data Processing for Low Latency High Throughput Machine
  Learning Algorithms

A Masked Bounding-Box Selection Based ResNet Predictor for Text Rotation

Semi-supervised Invertible DeepONets for Bayesian Inverse Problems

Rapid dynamic speech imaging at 3 Tesla using combination of a custom
  vocal tract coil, variable density spirals and manifold regularization

Depression Symptoms Modelling from Social Media Text: A Semi-supervised

Change Detection for Local Explainability in Evolving Data Streams

A Data Science Approach to Risk Assessment for Automobile Insurance
  Policies

Specification-Guided Component-Based Synthesis from Effectful Libraries

A Bayesian Approach for Spatio-Temporal Data-Driven Dynamic Equation
  Discovery

Scalable Regularization of Scene Graph Generation Models using Symbolic
  Theories

Educating Educators to Integrate Inclusive Design Across a 4-Year CS
  Degree Program

Spatiotemporal Cardiac Statistical Shape Modeling: A Data-Driven
  Approach

Deep Learning Assisted Optimization for 3D Reconstruction from Single 2D
  Line Drawings

Statistical Foundation Behind Machine Learning and Its Impact on

How important are activation functions in regression and classification?
  A survey, performance comparison, and future directions

A Complex Window-Based Joint-Chirp-Rate-Time-Frequency Transform for BBH
  Merger Gravitational Wave Signal Detection

Using the Interactive Graphic Syllabus in the Teaching of Economics

Hardware Software Co-design of Statistical and Deep Learning Frameworks
  for Wideband Sensing on Zynq System on Chip

Concentration of polynomial random matrices via Efron-Stein inequalities

Learning Interpretable Temporal Properties from Positive Examples Only

Modeling and Active Learning for Experiments with Quantitative-Sequence
  Factors

Multi-agent Deep Reinforcement Learning for Charge-sustaining Control of
  Multi-mode Hybrid Vehicles

Learned practical guidelines for evaluating Conditional Entropy and
  Mutual Information in discovering major factors of response-vs-covariate
  dynamics

Profiling Television Watching Behaviour Using Bayesian Hierarchical
  Joint Models for Time-to-Event and Count Data

Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) with
  Diverse Inter-Correlations and its application to medical image

Deep filter bank regression for super-resolution of anisotropic MR brain
  images

Automatic counting of mounds on UAV images: combining instance
  segmentation and patch-level correction

Domain Engineering for Applied Monocular Reconstruction of Parametric
  Faces

3D Single-pixel imaging with active sampling patterns and learning based

$1D$ to $nD$: A Meta Algorithm for Multivariate Global Optimization via
  Univariate Optimizers

Improving the Accuracy and Robustness of CNNs Using a Deep CCA Neural
  Data Regularizer

When Privacy Meets Partial Information: A Refined Analysis of
  Differentially Private Bandits

Project proposal: A modular reinforcement learning based automated
  theorem prover

The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide
  Detection from Multi-Source Satellite Imagery

A machine learning approach to photometric metallicities of giant stars

Explaining Machine Learning Models in Natural Conversations: Towards a
  Conversational XAI Agent

Graph-PHPA: Graph-based Proactive Horizontal Pod Autoscaling for
  Microservices using LSTM-GNN

Efficient search of active inference policy spaces using k-means

XSimGCL: Towards Extremely Simple Graph Contrastive Learning for

Combining Sequential and Aggregated Data for Churn Prediction in Casual
  Freemium Games

Rethinking Symmetric Matrix Factorization: A More General and Better
  Clustering Perspective

Learned Distributed Image Compression with Multi-Scale Patch Matching in
  Feature Domai

"Mama Always Had a Way of Explaining Things So I Could Understand'': A
  Dialogue Corpus for Learning to Construct Explanations

CausalRCA: Causal Inference based Precise Fine-grained Root Cause
  Localization for Microservice Applications

MMV_Im2Im: An Open Source Microscopy Machine Vision Toolbox for
  Image-to-Image Transformation

Fabrication experience of the pre-production PIP-II SSR2 cavities at
  Fermilab

Transfer Learning of Lexical Semantic Families for Argumentative
  Discourse Units Identification

Surya Namaskar: real-time advanced yoga pose recognition and correction
  for smart healthcare

Segment Augmentation and Differentiable Ranking for Logo Retrieval

Mimose: An Input-Aware Checkpointing Planner for Efficient Training on
  GPU

Multi-task Swin Transformer for Motion Artifacts Classification and
  Cardiac Magnetic Resonance Image Segmentation

Building Surrogate Models of Nuclear Density Functional Theory with
  Gaussian Processesand Autoencoders

Robust and Efficient Imbalanced Positive-Unlabeled Learning with
  Self-supervision

Extending the Universal Approximation Theorem for a Broad Class of
  Hypercomplex-Valued Neural Networks

MRF-PINN: A Multi-Receptive-Field convolutional physics-informed neural
  network for solving partial differential equations

Fun2Vec:a Contrastive Learning Framework of Function-level
  Representation for Binary

Some models are useful, but how do we know which ones? Towards a unified
  Bayesian model taxonomy

Cross apprenticeship learning framework: Properties and solution

Machine learning adaptation for laminar and turbulent flows:
  applications to high order discontinuous Galerkin solvers

A Scene-Text Synthesis Engine Achieved Through Learning from Decomposed
  Real-World Data

Language-aware Domain Generalization Network for Cross-Scene
  Hyperspectral Image Classification

EnergonAI: An Inference System for 10-100 Billion Parameter Transformer
  Models

MACAB: Model-Agnostic Clean-Annotation Backdoor to Object Detection with
  Natural Trigger in Real-World

Let's Learn from Children: Scaffolding to Enable Search as Learning in
  the Educational Environment

Rates of Convergence for Regression with the Graph Poly-Laplacian

Personalized Game Difficulty Prediction Using Factorization Machines

Zero-shot Aspect-level Sentiment Classification via Explicit Utilization
  of Aspect-to-Document Sentiment Composition

Multi-class Classifier based Failure Prediction with Artificial and
  Anonymous Training for Data Privacy

An Indoor Localization Dataset and Data Collection Framework with High
  Precision Position Annotation

Entity Aware Syntax Tree Based Data Augmentation for Natural Language

Towards Intelligent Millimeter and Terahertz Communication for 6G:
  Computer Vision-aided Beamforming

Making the black-box brighter: interpreting machine learning algorithm
  for forecasting drilling accidents

Machine Learning For Classification Of Antithetical Emotional States

The mpEDMD Algorithm for Data-Driven Computations of Measure-Preserving
  Dynamical Systems

Real-Time Cattle Interaction Recognition via Triple-stream Network

Hierarchical Conversational Preference Elicitation with Bandit Feedback

Learning to Predict on Octree for Scalable Point Cloud Geometry Coding

USLN: A statistically guided lightweight network for underwater image
  enhancement via dual-statistic white balance and multi-color space stretch

Reference Resolution and Context Change in Multimodal Situated Dialogue
  for Exploring Data Visualizations

Deep Neural Network Augmented Wireless Channel Estimation on System on
  Chip

Exploiting and Guiding User Interaction in Interactive Machine Teaching

LRT: An Efficient Low-Light Restoration Transformer for Dark Light Field
  Images

A Multitask Deep Learning Model for Parsing Bridge Elements and
  Segmenting Defect in Bridge Inspection Images

Bayesian Neural Network Inference via Implicit Models and the Posterior
  Predictive Distribution

Decentralized Natural Policy Gradient with Variance Reduction for
  Collaborative Multi-Agent Reinforcement Learning

Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the
  Best of Both Students

Impact analysis of recovery cases due to COVID19 using LSTM deep
  learning model

To Compute or not to Compute? Adaptive Smart Sensing in
  Resource-Constrained Edge Computing

Reinforcement learning-based optimised control for tracking of nonlinear
  systems with adversarial attacks

Deep Learning Gaussian Processes For Computer Models with
  Heteroskedastic and High-Dimensional Outputs

Comparative Study of AR Versus Image and Video for Exercise Learning

A New Approach to Training Multiple Cooperative Agents for Autonomous
  Driving

Learning Canonical Embeddings for Unsupervised Shape Correspondence with
  Locally Linear Transformations

Rare but Severe Neural Machine Translation Errors Induced by Minimal
  Deletion: An Empirical Study on Chinese and English

Bayesian nonparametric estimation of coverage probabilities and distinct
  counts from sketched data

Domain Generalization for Prostate Segmentation in Transrectal
  Ultrasound Images: A Multi-center Study

Utilizing Post-Hurricane Satellite Imagery to Identify Flooding Damage
  with Convolutional Neural Networks

SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained
  Image Categorization

A variational neural network approach for glacier modelling with
  nonlinear rheology

The SZ flux-mass ($Y$-$M$) relation at low halo masses: improvements
  with symbolic regression and strong constraints on baryonic feedback

Predicting Electronic Properties of Radical-Containing Polymers at
  Coarse-Grained Resolutions

CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual
  Retrieval

Trust in Language Grounding: a new AI challenge for human-robot teams

Applying Machine Learning to Life Insurance: some knowledge sharing to
  master it

Full Kullback-Leibler-Divergence Loss for Hyperparameter-free Label
  Distribution Learning

RX-ADS: Interpretable Anomaly Detection using Adversarial ML for
  Electric Vehicle CAN data

Fuzzy Attention Neural Network to Tackle Discontinuity in Airway

Data-driven prediction of room temperature density for multicomponent
  silicate-based glasses

Visualization Of Class Activation Maps To Explain AI Classification Of
  Network Packet Captures

Large Graph Signal Denoising with Application to Differential Privacy

4Ward: a Relayering Strategy for Efficient Training of Arbitrarily
  Complex Directed Acyclic Graphs

Robust machine learning segmentation for large-scale analysis of
  heterogeneous clinical brain MRI datasets

Rapid parameter estimation for an all-sky continuous gravitational wave
  search using conditional varitational auto-encoders

Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning

On free energy barriers in Gaussian priors and failure of MCMC for
  high-dimensional unimodal distributions

TFN: An Interpretable Neural Network with Time-Frequency Transform
  Embedded for Intelligent Fault Diagnosis

A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest
  X-Rays

Opening the black-box of Neighbor Embedding with Hotelling's T2
  statistic and Q-residuals

Improving Out-of-Distribution Detection via Epistemic Uncertainty
  Adversarial Training

Investigation into Target Speaking Rate Adaptation for Voice Conversion

Selective Annotation Makes Language Models Better Few-Shot Learners

FIRED: a fine-grained robust performance diagnosis framework for cloud
  applications

HAGCN : Network Decentralization Attention Based Heterogeneity-Aware
  Spatiotemporal Graph Convolution Network for Traffic Signal Forecasting

Deterministic and random features for large-scale quantum kernel machine

Moderately-Balanced Representation Learning for Treatment Effects with
  Orthogonality Information

Deep importance sampling using tensor-trains with application to a
  priori and a posteriori rare event estimation

Incremental Permutation Feature Importance (iPFI): Towards Online
  Explanations on Data Streams

Supervised Contrastive Learning to Classify Paranasal Anomalies in the
  Maxillary Sinus

Forensicability Assessment of Questioned Images in Recapturing Detection

Subject-Independent 3D Hand Kinematics Reconstruction using Pre-Movement
  EEG Signals for Grasp And Lift Task

Multi-frequency PolSAR Image Fusion Classification Based on Semantic
  Interactive Information and Topological Structure

Ensemble of Pre-Trained Neural Networks for Segmentation and Quality
  Detection of Transmission Electron Microscopy Images

A Robust Learning Methodology for Uncertainty-aware Scientific Machine
  Learning models

A Survey on Open-Source-Defined Wireless Networks: Framework, Key
  Technology, and Implementation

PromptAttack: Prompt-based Attack for Language Models via Gradient
  Search

Semi-Supervised Domain Adaptation by Similarity based Pseudo-label
  Injection

SlateFree: a Model-Free Decomposition for Reinforcement Learning with
  Slate Actions

Unsupervised Domain Adaptation via Style-Aware Self-intermediate Domain

Texture image analysis based on joint of multi directions GLCM and local
  ternary patterns

Kinetics Parameter Optimization via Neural Ordinary Differential
  Equations

Consistency-Based Semi-supervised Evidential Active Learning for
  Diagnostic Radiograph Classification

Statistical Comparisons of Classifiers by Generalized Stochastic
  Dominance

DISA: A Dual Inexact Splitting Algorithm for Distributed Convex
  Composite Optimization

A Principled Evaluation Protocol for Comparative Investigation of the
  Effectiveness of DNN Classification Models on Similar-but-non-identical
  Datasets

Conflict-Aware Pseudo Labeling via Optimal Transport for Entity
  Alignment

Investigating the Impact of Model Misspecification in Neural

Dynamics of Fourier Modes in Torus Generative Adversarial Networks

A Benchmark for Unsupervised Anomaly Detection in Multi-Agent
  Trajectories

A Survey on Measuring and Mitigating Reasoning Shortcuts in Machine

HealthyGAN: Learning from Unannotated Medical Images to Detect Anomalies
  Associated with Human Disease

RLIP: Relational Language-Image Pre-training for Human-Object
  Interaction Detection

UDC-UNet: Under-Display Camera Image Restoration via U-Shape Dynamic
  Network

Robust Causal Learning for the Estimation of Average Treatment Effects

Sound Event Localization and Detection for Real Spatial Sound Scenes:
  Event-Independent Network and Data Augmentation Chains

LKD-Net: Large Kernel Convolution Network for Single Image Dehazing

Representation Learning for Non-Melanoma Skin Cancer using a Latent

Indoor Path Planning for Multiple Unmanned Aerial Vehicles via

ElasticROS: An Elastically Collaborative Robot Operation System for Fog
  and Cloud Robotics

B-CANF: Adaptive B-frame Coding with Conditional Augmented Normalizing
  Flows

Uformer-ICS: A Specialized U-Shaped Transformer for Image Compressive
  Sensing

Instrument Separation of Symbolic Music by Explicitly Guided Diffusion
  Model

Boost Decentralized Federated Learning in Vehicular Networks by
  Diversifying Data Sources

4D LUT: Learnable Context-Aware 4D Lookup Table for Image Enhancement

SEFormer: Structure Embedding Transformer for 3D Object Detection

Liu-type Shrinkage Estimators for Mixture of Logistic Regressions: An
  Osteoporosis Study

Towards Deep Learning-aided Wireless Channel Estimation and Channel
  State Information Feedback for 6G

Spiking GATs: Learning Graph Attentions via Spiking Neural Network

Synergistic Redundancy: Towards Verifiable Safety for Autonomous
  Vehicles

Time-domain speech super-resolution with GAN based modeling for
  telephony speaker verification

Combining Forecasts under Structural Breaks Using Graphical LASSO

Variational Inference for Model-Free and Model-Based Reinforcement
  Learning

ASTra: A Novel Algorithm-Level Approach to Imbalanced Classification

Learning to Predict Fitness for Duty using Near Infrared Periocular Iris
  Images

Communication Efficient Distributed Learning over Wireless Channels

Time-distance vision transformers in lung cancer diagnosis from
  longitudinal computed tomography

Treating Motion as Option to Reduce Motion Dependency in Unsupervised
  Video Object Segmentation

SCL-RAI: Span-based Contrastive Learning with Retrieval Augmented
  Inference for Unlabeled Entity Problem in NER

Fraud Detection Using Optimized Machine Learning Tools Under Imbalance
  Classes

Joint Linear and Nonlinear Computation across Functions for Efficient
  Privacy-Preserving Neural Network Inference

Single-source Domain Expansion Network for Cross-Scene Hyperspectral

Why Are Some Online Educational Programs Successful? Student Cognition
  and Success

A systematic study of race and sex bias in CNN-based cardiac MR

Dynamic Regret of Adaptive Gradient Methods for Strongly Convex Problems

A Case Study on the Classification of Lost Circulation Events During
  Drilling using Machine Learning Techniques on an Imbalanced Large Dataset

Representative Image Feature Extraction via Contrastive Learning
  Pretraining for Chest X-ray Report Generation

Towards Understanding the Overfitting Phenomenon of Deep Click-Through
  Rate Prediction Models

Data-Assisted Vision-Based Hybrid Control for Robust Stabilization with
  Obstacle Avoidance via Learning of Perception Maps

A Prufer-Sequence Based Representation of Large Graphs for Structural
  Encoding of Logic Networks

Incremental maximum likelihood estimation for efficient adaptive
  filtering

Latent Preserving Generative Adversarial Network for Imbalance

Conditional Independence Testing via Latent Representation Learning

An Empirical Study of End-to-End Video-Language Transformers with Masked
  Visual Modeling

Cross-Network Social User Embedding with Hybrid Differential Privacy

Interpretable Fake News Detection with Topic and Deep Variational Models

Multi-modal Masked Autoencoders Learn Compositional Histopathological

Informative Language Representation Learning for Massively Multilingual

Disentangled Graph Contrastive Learning for Review-based Recommendation

Symplectically Integrated Symbolic Regression of Hamiltonian Dynamical
  Systems

The Effectiveness of Bidirectional Generative Patent Language Models

Quantitative Stopword Generation for Sentiment Analysis via Recursive
  and Iterative Deletion

Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware

A Novel Nearest Neighbors Algorithm Based on Power Muirhead Mean

Transfer Learning of an Ensemble of DNNs for SSVEP BCI Spellers without
  User-Specific Training

Low-Power Hardware-Based Deep-Learning Diagnostics Support Case Study

Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task

A descriptive analysis of olfactory sensation and memory in Drosophila
  and its relation to artificial neural networks

Learning Differential Operators for Interpretable Time Series Modeling

Model-Free Deep Reinforcement Learning in Software-Defined Networks

Deep autoencoders for physics-constrained data-driven nonlinear
  materials modeling

Learning the Dynamics of Particle-based Systems with Lagrangian Graph

Neural Sign Reenactor: Deep Photorealistic Sign Language Retargeting

Machine learning for dynamically predicting the onset of renal
  replacement therapy in chronic kidney disease patients using claims data

Phishing URL Detection: A Network-based Approach Robust to Evasion

Learning by Consuming: Optimal Pricing with Endogenous Information
  Provision

A comprehensive survey on recent deep learning-based methods applied to
  surgical data

Reinforcement Learning with Prior Policy Guidance for Motion Planning of
  Dual-Arm Free-Floating Space Robot

A note on quadratic constraints with indicator variables: Convex hull
  description and perspective relaxation

From Monte Carlo to neural networks approximations of boundary value
  problems

Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action

Suppressing Noise from Built Environment Datasets to Reduce
  Communication Rounds for Convergence of Federated Learning

Negative Selection Approach to support Formal Verification and
  Validation of BlackBox Models' Input Constraints

Towards Accurate Binary Neural Networks via Modeling Contextual
  Dependencies

Deep learning automates bidimensional and volumetric tumor burden
  measurement from MRI in pre- and post-operative glioblastoma patients

Vision Transformers and YoloV5 based Driver Drowsiness Detection
  Framework

Optimizing Partial Area Under the Top-k Curve: Theory and Practice

Disconnected Emerging Knowledge Graph Oriented Inductive Link Prediction

Hypergraph convolutional neural network-based clustering technique

How to Prompt? Opportunities and Challenges of Zero- and Few-Shot
  Learning for Human-AI Interaction in Creative Applications of Generative
  Models

SaleNet: A low-power end-to-end CNN accelerator for sustained attention
  level evaluation using EEG

Classification of Breast Tumours Based on Histopathology Images Using
  Deep Features and Ensemble of Gradient Boosting Methods

TogetherNet: Bridging Image Restoration and Object Detection Together
  via Dynamic Enhancement Learning

Sharp bounds on the price of bandit feedback for several models of
  mistake-bounded online learning

Machine learning based approach for solving atomic structures of
  nanomaterials combining pair distribution functions with density functional
  theory

Masked Sinogram Model with Transformer for ill-Posed Computed Tomography
  Reconstruction: a Preliminary Study

A repeated unknown game: Decentralized task offloading in vehicular fog
  computing

Semi-supervised Training for Knowledge Base Graph Self-attention
  Networks on Link Prediction

Statistical CSI-based Beamforming for RIS-Aided Multiuser MISO Systems
  using Deep Reinforcement Learning

Explanation Guided Contrastive Learning for Sequential Recommendation

FedAR+: A Federated Learning Approach to Appliance Recognition with
  Mislabeled Data in Residential Buildings

Noise-Robust Bidirectional Learning with Dynamic Sample Reweighting

Quadratic Gradient: Uniting Gradient Algorithm and Newton Method as One

Semi-Supervised Semantic Segmentation with Cross Teacher Training

Deep Stable Representation Learning on Electronic Health Records

Label Structure Preserving Contrastive Embedding for Multi-Label
  Learning with Missing Labels

A Novel Self-Knowledge Distillation Approach with Siamese Representation
  Learning for Action Recognition

TransPolymer: a Transformer-based Language Model for Polymer Property

Source-Free Unsupervised Domain Adaptation with Norm and Shape
  Constraints for Medical Image Segmentation

elhmc: An R Package for Hamiltonian Monte Carlo Sampling in Bayesian
  Empirical Likelihood

Learning Practical Communication Strategies in Cooperative Multi-Agent

Design, Manufacturing, Assembly, Testing, And Lessons Learned Of The
  Prototype 650 Mhz Couplers

A Two-step Metropolis Hastings Method for Bayesian Empirical Likelihood
  Computation with Application to Bayesian Model Selection

Deep-PANTHER: Learning-Based Perception-Aware Trajectory Planner in
  Dynamic Environments

Decentralized Eigendecomposition for Online Learning over Graphs with

Cubic-Regularized Newton for Spectral Constrained Matrix Optimization
  and its Application to Fairness

Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion

Estimation of Correlation Matrices from Limited time series Data using

CLONeR: Camera-Lidar Fusion for Occupancy Grid-aided Neural

Early detection of knee osteoarthritis using deep learning on knee
  magnetic resonance images

Optimal bump functions for shallow ReLU networks: Weight decay, depth
  separation and the curse of dimensionality

An Interpretable and Efficient Infinite-Order Vector Autoregressive
  Model for High-Dimensional Time Series

First Hitting Diffusion Models for Generating Manifold, Graph and
  Categorical Data

"More Than Words": Linking Music Preferences and Moral Values Through
  Lyrics

A Framework for Extracting and Encoding Features from Object-Centric
  Event Data

SIAN: Style-Guided Instance-Adaptive Normalization for Multi-Organ
  Histopathology Image Synthesis

A Novel Approach for Pill-Prescription Matching with GNN Assistance and

Algorithms for Discrepancy, Matchings, and Approximations: Fast, Simple,
  and Practical

Future Gradient Descent for Adapting the Temporal Shifting Data
  Distribution in Online Recommendation Systems

Multi-Step Prediction in Linearized Latent State Spaces for

MaxWeight With Discounted UCB: A Provably Stable Scheduling Policy for
  Nonstationary Multi-Server Systems With Unknown Statistics

Back-to-Bones: Rediscovering the Role of Backbones in Domain

Differentiable Optimal Control via Differential Dynamic Programming

Distilling Facial Knowledge With Teacher-Tasks:
  Semantic-Segmentation-Features For Pose-Invariant Face-Recognition

Inference and dynamic decision-making for deteriorating systems with
  probabilistic dependencies through Bayesian networks and deep reinforcement
  learning

Neighborhood-aware Scalable Temporal Network Representation Learning

When Bioprocess Engineering Meets Machine Learning: A Survey from the
  Perspective of Automated Bioprocess Development

Semi-Centralised Multi-Agent Reinforcement Learning with Policy-Embedded
  Training

Information overload and environmental degradation: learning from H.A.
  Simon and W. Wenders

Learn to Adapt to New Environment from Past Experience and Few Pilot

Exploiting Pretrained Biochemical Language Models for Targeted Drug
  Design

Multimodal Information Fusion for Glaucoma and DR Classification

Automated Assessment of Transthoracic Echocardiogram Image Quality Using

Reducing The Amortization Gap of Entropy Bottleneck In End-to-End Image

LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile
  Devices

Echocardiographic Image Quality Assessment Using Deep Neural Networks

Learning task-specific features for 3D pointcloud graph creation

Macroeconomic Predictions using Payments Data and Machine Learning

Inferring Tabular Analysis Metadata by Infusing Distribution and
  Knowledge Information

IMG2IMU: Applying Knowledge from Large-Scale Images to IMU Applications
  via Contrastive Learning

Which country is this picture from? New data and methods for DNN-based
  country recognition

Thermodynamic fluctuation theorems govern human sensorimotor learning

Predictive GAN-powered Multi-Objective Optimization for Hybrid Federated
  Split Learning

A Class-Aware Representation Refinement Framework for Graph

TB or not TB? Acoustic cough analysis for tuberculosis classification

Mind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue

Detection of diabetic retinopathy using longitudinal self-supervised
  learning

Advanced cryogenic process control and monitoring for the SPIRAL2
  superconducting LINAC

Multi-modal Contrastive Representation Learning for Entity Alignment

Mapping the ocular surface from monocular videos with an application to
  dry eye disease grading

PulseDL-II: A System-on-Chip Neural Network Accelerator for Timing and
  Energy Extraction of Nuclear Detector Signals

Three Learning Stages and Accuracy-Efficiency Tradeoff of Restricted
  Boltzmann Machines

Impact of Colour Variation on Robustness of Deep Neural Networks

Diffusion-based Molecule Generation with Informative Prior Bridges

On Effectively Predicting Autism Spectrum Disorder Using an Ensemble of
  Classifiers

Spatio-Temporal Attack Course-of-Action (COA) Search Learning for
  Scalable and Time-Varying Networks

A Discussion of Discrimination and Fairness in Insurance Pricing

Geometric and Learning-based Mesh Denoising: A Comprehensive Survey

Human Activity Recognition on Microcontrollers with Quantized and
  Adaptive Deep Neural Networks

Self-Score: Self-Supervised Learning on Score-Based Models for MRI

Exploiting Fairness to Enhance Sensitive Attributes Reconstruction

Transverse phase space tomography in the CLARA accelerator test facility
  using image compression and machine learning

CASU: Compromise Avoidance via Secure Update for Low-end Embedded
  Systems

Explainable AI for Android Malware Detection: Towards Understanding Why
  the Models Perform So Well?

Rethinking Efficiency and Redundancy in Training Large-scale Graphs

PCDNF: Revisiting Learning-based Point Cloud Denoising via Joint Normal
  Filtering

Diffusion Models: A Comprehensive Survey of Methods and Applications

Tweak: Towards Portable Deep Learning Models for Domain-Agnostic LoRa
  Device Authentication

EPA Particulate Matter Data -- Analyses using Local Control Strategy

BinImg2Vec: Augmenting Malware Binary Image Classification with Data2Vec

Detection of False Data Injection Attacks in Smart Grid: A Secure
  Federated Deep Learning Approach

Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for
  Ophthalmic Images

Optimizing the Performative Risk under Weak Convexity Assumptions

Exact Decomposition of Quantum Channels for Non-IID Quantum Federated
  Learning

MIME: Minority Inclusion for Majority Group Enhancement of AI
  Performance

Recurrent Convolutional Neural Networks Learn Succinct Learning

Model Order Estimation in the Presence of multipath Interference using
  Residual Convolutional Neural Networks

Enabling Country-Scale Land Cover Mapping with Meter-Resolution

Learning correspondences of cardiac motion from images using
  biomechanics-informed modeling

SkeletonMAE: Spatial-Temporal Masked Autoencoders for Self-supervised
  Skeleton Action Recognition

Generalizing intrusion detection for heterogeneous networks: A
  stacked-unsupervised federated learning approach

A Technique to Create Weaker Abstract Board Game Agents via

DecVi: Adaptive Video Conferencing on Open Peer-to-Peer Networks

Zero-Shot Multi-Modal Artist-Controlled Retrieval and Exploration of 3D
  Object Sets

Exploring traditional machine learning for identification of
  pathological auscultations

Deep reinforcement learning for quantum multiparameter estimation

Stable solid molecular hydrogen above 900K from a machine-learned
  potential trained with diffusion Quantum Monte Carlo

Optimising 2D Pose Representation: Improve Accuracy, Stability and
  Generalisability Within Unsupervised 2D-3D Human Pose Estimation

ID and OOD Performance Are Sometimes Inversely Correlated on Real-world
  Datasets

Sparse Attention Acceleration with Synergistic In-Memory Pruning and
  On-Chip Recomputation

Making Thermodynamic Models of Mixtures Predictive by Machine Learning:
  Matrix Completion of Pair Interactions

Python Implementation of the Dynamic Distributed Dimensional Data Model

Why Do Neural Language Models Still Need Commonsense Knowledge to Handle
  Semantic Variations in Question Answering?

Decomposition of Matrix Product States into Shallow Quantum Circuits

Incremental Online Learning Algorithms Comparison for Gesture and Visual
  Smart Sensors

Adversarial Stain Transfer to Study the Effect of Color Variation on
  Cell Instance Segmentation

Johnson-Lindenstrauss embeddings for noisy vectors -- taking advantage
  of the noise

Go-Explore Complex 3D Game Environments for Automated Reachability
  Testing

Multi-Scale Contrastive Co-Training for Event Temporal Relation

Online Load Balancing on Uniform Machines with Limited Migration

Self-supervised Representation Learning on Electronic Health Records
  with Graph Kernel Infomax

Model Transparency and Interpretability : Survey and Application to the
  Insurance Industry

An Incremental Learning framework for Large-scale CTR Prediction

Systems Theoretic Process Analysis of a Run Time Assured Neural Network
  Control System

MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed
  Laplacian

A Bilevel Optimization Method for Tensor Recovery Under Metric Learning

The Shifting Attention of Political Leaders: Evidence from Two Centuries
  of Presidential Speeches

Holomorphic Equilibrium Propagation Computes Exact Gradients Through
  Finite Size Oscillations

A New Knowledge Distillation Network for Incremental Few-Shot Surface
  Defect Detection

The Neural Process Family: Survey, Applications and Perspectives

Efficient Chemical Space Exploration Using Active Learning Based on
  Marginalized Graph Kernel: an Application for Predicting the Thermodynamic
  Properties of Alkanes with Molecular Simulation

Models and Benchmarks for Representation Learning of Partially Observed
  Subgraphs

Quantum-Classical Hybrid Information Processing via a Single Quantum
  System

TempCLR: Reconstructing Hands via Time-Coherent Contrastive Learning

Focus-Driven Contrastive Learniang for Medical Question Summarization

A Multi-Channel Next POI Recommendation Framework with Multi-Granularity
  Check-in Signals

Negation detection in Dutch clinical texts: an evaluation of rule-based
  and machine learning methods

Ensembling Neural Networks for Improved Prediction and Privacy in Early
  Diagnosis of Sepsis

Agile Effort Estimation: Have We Solved the Problem Yet? Insights From A
  Second Replication Study (GPT2SP Replication Report)

Fair learning with Wasserstein barycenters for non-decomposable
  performance measures

Spoofing-Aware Attention based ASV Back-end with Multiple Enrollment
  Utterances and a Sampling Strategy for the SASV Challenge 2022

MAPLE: Masked Pseudo-Labeling autoEncoder for Semi-supervised Point
  Cloud Action Recognition

Optimal Regularized Online Convex Allocation by Adaptive Re-Solving

A Unified Framework for Estimation of High-dimensional Conditional
  Factor Models

Physics-informed MTA-UNet: Prediction of Thermal Stress and Thermal
  Deformation of Satellites

TokenCut: Segmenting Objects in Images and Videos with Self-supervised
  Transformer and Normalized Cut

SemSegDepth: A Combined Model for Semantic Segmentation and Depth

Combining Machine Learning and Spectroscopy to Model Reactive Atom +
  Diatom Collisions

Learning Generative Embeddings using an Optimal Subsampling Policy for
  Tensor Sketching

Towards Multidimensional Textural Perception and Classification Through
  Whisker

Artificial Intelligence based Position Detection for Hydraulic Cylinders
  using Scattering Parameters

Versatile Single-Loop Method for Gradient Estimator: First and Second
  Order Optimality, and its Application to Federated Learning

Find the Funding: Entity Linking with Incomplete Funding Knowledge Bases

Dynamics-Adaptive Continual Reinforcement Learning via Progressive
  Contextualization

Distributional Drift Adaptation with Temporal Conditional Variational
  Autoencoder for Multivariate Time Series Forecasting

Unsupervised EHR-based Phenotyping via Matrix and Tensor Decompositions

Evolution of boroxol ring in lithium borosilicate glasses using
  machine-learning potential

Black-box optimization for integer-variable problems using Ising
  machines and factorization machines

Intrinsic fluctuations of reinforcement learning promote cooperation

Monocular Camera-based Complex Obstacle Avoidance via Efficient Deep

Generating Coherent Drum Accompaniment With Fills And Improvisations

Conditional graph entropy as an alternating minimization problem

MetaTrader: An Reinforcement Learning Approach Integrating Diverse
  Policies for Portfolio Optimization

Effective Class-Imbalance learning based on SMOTE and Convolutional

Adversarial for Social Privacy: A Poisoning Strategy to Degrade User
  Identity Linkage

Attack Tactic Identification by Transfer Learning of Language Model

Which anonymization technique is best for which NLP task? -- It depends.
  A Systematic Study on Clinical Text Processing

MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality
  Assessment

Less is More: Rethinking State-of-the-art Continual Relation Extraction
  Models with a Frustratingly Easy but Effective Approach

Trading Off Privacy, Utility and Efficiency in Federated Learning

STDEN: Towards Physics-Guided Neural Networks for Traffic Flow

PointCLM: A Contrastive Learning-based Framework for Multi-instance
  Point Cloud Registration

A Genetic Algorithm-based Framework for Learning Statistical Power
  Manifold

Public Parking Spot Detection And Geo-localization Using Transfer
  Learning

An Ion Exchange Mechanism Inspired Story Ending Generator for Different
  Characters

ODE: A Data Sampling Method for Practical Federated Learning with
  Streaming Data and Limited Buffer

A Transferable Multi-stage Model with Cycling Discrepancy Learning for
  Lithium-ion Battery State of Health Estimation

Federated Learning with Label Distribution Skew via Logits Calibration

Hermes: Accelerating Long-Latency Load Requests via Perceptron-Based
  Off-Chip Load Prediction

SketchBetween: Video-to-Video Synthesis for Sprite Animation via
  Sketches

ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical

What is missing in deep music generation? A study of repetition and
  structure in popular music

Towards Optimization and Model Selection for Domain Generalization: A
  Mixup-guided Solution

Universal Multi-Modality Retrieval with One Unified Embedding Space

Continuous-time Particle Filtering for Latent Stochastic Differential
  Equations

CPS Attack Detection under Limited Local Information in Cyber Security:
  A Multi-node Multi-class Classification Ensemble Approach

Prioritization of Metamorphic Relations to reduce the cost of testing

Contextualized language models for semantic change detection: lessons
  learned

Partial Counterfactual Identification for Infinite Horizon Partially
  Observable Markov Decision Process

Archangel: A Hybrid UAV-based Human Detection Benchmark with Position
  and Pose Metadata

Addressing Class Imbalance in Semi-supervised Image Segmentation: A
  Study on Cardiac MRI

A DeepParticle method for learning and generating aggregation patterns
  in multi-dimensional Keller-Segel chemotaxis systems

Recategorising research: Mapping from FoR 2008 to FoR 2020 in Dimensions

Zydeco-Style Spike Sorting Low Power VLSI Architecture for IoT BCI
  Implants

RecLight: A Recurrent Neural Network Accelerator with Integrated Silicon
  Photonics

Feynman on Artificial Intelligence and Machine Learning, with Updates

Multi-View Reconstruction using Signed Ray Distance Functions (SRDF)

Two-stage Hypothesis Tests for Variable Interactions with FDR Control

Incorporating Task-specific Concept Knowledge into Script Learning

ViA: View-invariant Skeleton Action Representation Learning via Motion
  Retargeting

Computational design of antimicrobial active surfaces via automated
  Bayesian optimization

Ranking-Based Physics-Informed Line Failure Detection in Power Grids

Discovering Conservation Laws using Optimal Transport and Manifold
  Learning

Multiscale Non-stationary Causal Structure Learning from Time Series
  Data

Inverse Propensity Score based offline estimator for deterministic
  ranking lists using position bias

Concept Gradient: Concept-based Interpretation Without Linear Assumption

Deep-Learning-Based Device Fingerprinting for Increased LoRa-IoT
  Security: Sensitivity to Network Deployment Changes

Stationary Kernels and Gaussian Processes on Lie Groups and their
  Homogeneous Spaces I: the Compact Case

Segmentation of Weakly Visible Environmental Microorganism Images Using
  Pair-wise Deep Learning Features

Library transfer between distinct Laser-Induced Breakdown Spectroscopy
  systems with shared standards

Explainable Artificial Intelligence Applications in Cyber Security:
  State-of-the-Art in Research

Physically-primed deep-neural-networks for generalized undersampled MRI

Learning Tree Structures from Leaves For Particle Decay Reconstruction

Few-Shot Learning for Clinical Natural Language Processing Using Siamese

ARMA Cell: A Modular and Effective Approach for Neural Autoregressive
  Modeling

Object classification on video data of meteors and meteor-like
  phenomena: algorithm and data

Transmit Power Control for Indoor Small Cells: A Method Based on
  Federated Reinforcement Learning

Monotonic Gaussian process for physics-constrained machine learning with
  materials science applications

Improving RGB-D Point Cloud Registration by Learning Multi-scale Local
  Linear Transformation

Clairvoyant Regret Minimization: Equivalence with Nemirovski's
  Conceptual Prox Method and Extension to General Convex Games

Feature Alignment by Uncertainty and Self-Training for Source-Free
  Unsupervised Domain Adaptation

Table Detection in the Wild: A Novel Diverse Table Detection Dataset and
  Method

Hierarchical Local-Global Transformer for Temporal Sentence Grounding

Formalising the Robustness of Counterfactual Explanations for Neural
  Networks

Automatic Identification of Coal and Rock/Gangue Based on DenseNet and
  Gaussian Process

Sketching the Expression: Flexible Rendering of Expressive Piano
  Performance with Self-Supervised Learning

Active Learning with Effective Scoring Functions for Semi-Supervised
  Temporal Action Localization

Dual-Space NeRF: Learning Animatable Avatars and Scene Lighting in
  Separate Spaces

Listen2YourHeart: A Self-Supervised Approach for Detecting Murmur in
  Heart-Beat Sounds

Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with
  Probabilistically Triggered Arms or Independent Arms

Predicting spatial distribution of Palmer Drought Severity Index

A Fair Experimental Comparison of Neural Network Architectures for
  Latent Representations of Multi-Omics for Drug Response Prediction

Learning Automata-Based Complex Event Patterns in Answer Set Programming

Cadence Detection in Symbolic Classical Music using Graph Neural
  Networks

Domain Shift-oriented Machine Anomalous Sound Detection Model Based on

Sparsification of the regularized magnetic Laplacian with multi-type
  spanning forests

3DLG-Detector: 3D Object Detection via Simultaneous Local-Global Feature
  Learning

Accelerating Deep Unrolling Networks via Dimensionality Reduction

A Machine Learning Approach to Predict Missing Flux Densities in
  Multi-band Galaxy Surveys

Combined effect of Fluid Rheology and Surface Modification on
  Eletrokinetic Energy Generation through Finite Length Microchannel

Classification of eye-state using EEG recordings: speed-up gains using
  signal epochs and mutual information measure

Classification of Electroencephalograms during Mathematical Calculations
  Using Deep Learning

LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval

Cluster-based Sampling in Hindsight Experience Replay for Robot Control

Complete and tractable machine-independent characterizations of
  second-order polytime

A stabilizing reinforcement learning approach for sampled systems with
  partially unknown models

Classical-to-quantum convolutional neural network transfer learning

AutoPET Challenge 2022: Automatic Segmentation of Whole-body Tumor
  Lesion Based on Deep Learning and FDG PET/CT

Let us Build Bridges: Understanding and Extending Diffusion Generative
  Models

Deep Reinforcement Learning for Uplink Multi-Carrier Non-Orthogonal
  Multiple Access Resource Allocation Using Buffer State Information

TRUST: An Accurate and End-to-End Table structure Recognizer Using
  Splitting-based Transformers

NeurIPS'22 Cross-Domain MetaDL competition: Design and baseline results

Be Your Own Neighborhood: Detecting Adversarial Example by the
  Neighborhood Relations Built on Self-Supervised Learning

Active learning algorithm through the lens of rejection arguments

Mapping aids using source location tracking increase novices'
  performance in programming cyber-physical systems

Ferroelectric FET-based strong physical unclonable function: a
  low-power, high-reliable and reconfigurable solution for Internet-of-Things
  security

Unrestricted Adversarial Samples Based on Non-semantic Feature Clusters
  Substitution

Deep Multi-Scale Representation Learning with Attention for Automatic
  Modulation Classification

AWADA: Attention-Weighted Adversarial Domain Adaptation for Object
  Detection

EViT: Privacy-Preserving Image Retrieval via Encrypted Vision
  Transformer in Cloud Computing

Let Me Check the Examples: Enhancing Demonstration Learning via Explicit
  Imitation

Preparing Pre-Service Physics Teachers to Diagnose Students' Conceptions
  Not Covered by Physics Education Textbooks

MAFormer: A Transformer Network with Multi-scale Attention Fusion for
  Visual Recognition

Unified Knowledge Prompt Pre-training for Customer Service Dialogues

Changing Electricity Markets: Quantifying the Price Effects of Greening
  the Energy Matrix

An Empirical Study and Analysis of Learning Generalizable Manipulation
  Skill in the SAPIEN Simulator

Segmentation-guided Domain Adaptation and Data Harmonization of
  Multi-device Retinal Optical Coherence Tomography using Cycle-Consistent
  Generative Adversarial Networks

Application of Data Encryption in Chinese Named Entity Recognition

Temporal Flow Mask Attention for Open-Set Long-Tailed Recognition of
  Wild Animals in Camera-Trap Images

Rethinking Conversational Recommendations: Is Decision Tree All You
  Need?

Non-readily identifiable data collaboration analysis for multiple
  datasets including personal information

SIM-Trans: Structure Information Modeling Transformer for Fine-grained
  Visual Categorization

Intelligent detect for substation insulator defects based on CenterMask

Seq-UPS: Sequential Uncertainty-aware Pseudo-label Selection for
  Semi-Supervised Text Recognition

One-class Recommendation Systems with the Hinge Pairwise Distance Loss
  and Orthogonal Representations

Light curve completion and forecasting using fast and scalable Gaussian
  processes (MuyGPs)

Multitask kernel-learning parameter prediction method for solving
  time-dependent linear systems

Group Activity Recognition in Basketball Tracking Data -- Neural
  Embeddings in Team Sports (NETS)

A Prescriptive Learning Analytics Framework: Beyond Predictive Modelling
  and onto Explainable AI with Prescriptive Analytics

Truncated Matrix Power Iteration for Differentiable DAG Learning

LINKS: A dataset of a hundred million planar linkage mechanisms for
  data-driven kinematic design

Optimizing Bi-Encoder for Named Entity Recognition via Contrastive
  Learning

QuakeFlow: A Scalable Machine-learning-based Earthquake Monitoring
  Workflow with Cloud Computing

Dynamic Global Sensitivity for Differentially Private Contextual Bandits

Do language models make human-like predictions about the coreferents of
  Italian anaphoric zero pronouns?

BioSLAM: A Bio-inspired Lifelong Memory System for General Place

TCAM: Temporal Class Activation Maps for Object Localization in
  Weakly-Labeled Unconstrained Videos

Embedding Functional Data: Multidimensional Scaling and Manifold
  Learning

Boosting 5G on Smart Grid Communication: A Smart RAN Slicing Approach

Modeling Soft-Failure Evolution for Triggering Timely Repair with Low
  QoT Margins

Designing novel protein structures using sequence generator and
  AlphaFold2

Comparative Review of Cloud Computing Platforms for Data Science
  Workflows

Annotated Dataset Creation through General Purpose Language Models for
  non-English Medical NLP

$R$-dependence of inclusive jet suppression and groomed jet splittings
  in heavy-ion collisions with ALICE

Constraining Representations Yields Models That Know What They Don't
  Know

Latent Similarity Identifies Important Functional Connections for
  Phenotype Prediction

Online Meta-Learning for Model Update Aggregation in Federated Learning
  for Click-Through Rate Prediction

Experimental multiparameter quantum metrology in adaptive regime

Dynamical Origin for the Collinder 132-Gulliver 21 Stream: A Mixture of
  three Co-Moving Populations with an Age Difference of 250 Myr

Self-Supervised Pyramid Representation Learning for Multi-Label Visual
  Analysis and Beyond

MapTR: Structured Modeling and Learning for Online Vectorized HD Map

The Intercalation Chemistry of the Disordered RockSalt Li3V2O5 Anode
  from Cluster Expansions and Machine Learning Interatomic Potentials

Towards reliable head and neck cancers locoregional recurrence
  prediction using delta-radiomics and learning with rejection option

Evolutionary Deep Reinforcement Learning for Dynamic Slice Management in
  O-RAN

Convergence Rates for Regularized Optimal Transport via Quantization

k-MS: A novel clustering algorithm based on morphological reconstruction

Expert Opinion Elicitation for Assisting Deep Learning based Lyme
  Disease Classifier with Patient Data

Digital Twin Assisted Risk-Aware Sleep Mode Management Using Deep
  Q-Networks

Automated recognition of the pericardium contour on processed CT images
  using genetic algorithms

Machine learning in the prediction of cardiac epicardial and mediastinal
  fat volumes

SIGNet: Intrinsic Image Decomposition by a Semantic and Invariant
  Gradient Driven Network for Indoor Scenes

Image-Specific Information Suppression and Implicit Local Alignment for
  Text-based Person Search

Dynamic and adaptive mesh-based graph neural network framework for
  simulating displacement and crack fields in phase field models

AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100
  Labels

FAST-AID Brain: Fast and Accurate Segmentation Tool using Artificial
  Intelligence Developed for Brain

Compound Figure Separation of Biomedical Images: Mining Large Datasets
  for Self-supervised Learning

On the Automated Segmentation of Epicardial and Mediastinal Cardiac
  Adipose Tissues Using Classification Algorithms

MeloForm: Generating Melody with Musical Form based on Expert Systems
  and Neural Networks

Deep Reinforcement Learning for Online Latency Aware Workload Offloading
  in Mobile Edge Computing

HPPNet: Modeling the Harmonic Structure and Pitch Invariance in Piano
  Transcription

Distributed Ensembles of Reinforcement Learning Agents for Electricity
  Control

Denoising Architecture for Unsupervised Anomaly Detection in Time-Series

Tree-based Subgroup Discovery In Electronic Health Records:
  Heterogeneity of Treatment Effects for DTG-containing Therapies

GaitFi: Robust Device-Free Human Identification via WiFi and Vision
  Multimodal Learning

Representation Learning based and Interpretable Reactor System Diagnosis
  Using Denoising Padded Autoencoder

Convergence Rates of Training Deep Neural Networks via Alternating
  Minimization Methods

Modeling Volatility and Dependence of European Carbon and Energy Prices

DLDNN: Deterministic Lateral Displacement Design Automation by Neural
  Networks

Reynolds Stress Anisotropy Tensor Predictions for Turbulent Channel Flow
  using Neural Networks

Coarse Retinal Lesion Annotations Refinement via Prototypical Learning

A Dataset and Baseline Approach for Identifying Usage States from
  Non-Intrusive Power Sensing With MiDAS IoT-based Sensors

Dual Representation Learning for One-Step Clustering of Multi-View Data

A Closer Look at Weakly-Supervised Audio-Visual Source Localization

Learning 6D Pose Estimation from Synthetic RGBD Images for Robotic

ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural
  Network Quantization

On the universal consistency of an over-parametrized deep neural network
  estimate learned by gradient descent

Controllable 3D Generative Adversarial Face Model via Disentangling
  Shape and Appearance

Expressions Causing Differences in Emotion Recognition in Social
  Networking Service Documents

Persistence Initialization: A novel adaptation of the Transformer
  architecture for Time Series Forecasting

EasyScale: Accuracy-consistent Elastic Training for Deep Learning

Similarity-based Link Prediction from Modular Compression of Network
  Flows

FUSION: Fully Unsupervised Test-Time Stain Adaptation via Fused
  Normalization Statistics

Identifying Latent Causal Content for Multi-Source Domain Adaptation

Building the Learning Environment for Sustainable Development: a
  Co-creation approach

Leap-frog neural network for learning the symplectic evolution from
  partitioned data

Airway measurement by refinement of synthetic images improves mortality
  prediction in idiopathic pulmonary fibrosis

Large-scale Multi-granular Concept Extraction Based on Machine Reading

On the Trade-Off between Actionable Explanations and the Right to be
  Forgotten

Deep Generative Modeling on Limited Data with Regularization by
  Nontransferable Pre-trained Models

Towards making the most of NLP-based device mapping optimization for
  OpenCL kernels

Analyzing the impact of Driving tasks when detecting emotions through
  Brain-Computer Interfaces

Prolonged Learning and Hasty Stopping: the Wald Problem with Ambiguity

Learning Optimal Feedback Operators and their Polynomial Approximation

Sim-to-Real Transfer of Robotic Assembly with Visual Inputs Using
  CycleGAN and Force Control

Tailoring Molecules for Protein Pockets: a Transformer-based Generative
  Solution for Structured-based Drug Design

Data-Driven Chance Constrained AC-OPF using Hybrid Sparse Gaussian
  Processes

SSORN: Self-Supervised Outlier Removal Network for Robust Homography

Effective Multi-User Delay-Constrained Scheduling with Deep Recurrent

A Self-supervised Riemannian GNN with Time Varying Curvature for
  Temporal Graph Learning

Improving Operational Efficiency In EV Ridepooling Fleets By Predictive
  Exploitation of Idle Times

Attack detection based on machine learning algorithms for different
  variants of Spectre attacks and different Meltdown attack implementations

Weakly Supervised Faster-RCNN+FPN to classify animals in camera trap
  images

An efficient and flexible inference system for serving heterogeneous
  ensembles of deep neural networks

A Deep Neural Networks ensemble workflow from hyperparameter search to
  inference leveraging GPU clusters

Deep Autoencoders for Anomaly Detection in Textured Images using CW-SSIM

A further exploration of deep Multi-Agent Reinforcement Learning with
  Hybrid Action Space

Towards Artificial Virtuous Agents: Games, Dilemmas and Machine Learning

Nonparametric and Online Change Detection in Multivariate Datastreams
  using QuantTree

Stabilize, Decompose, and Denoise: Self-Supervised Fluoroscopy Denoising

Prediction of Red Wine Quality Using One-dimensional Convolutional

Finding neural signatures for obesity through feature selection on
  source-localized EEG

EchoGNN: Explainable Ejection Fraction Estimation with Graph Neural
  Networks

Discovery of Peculiar Radio Morphologies with ASKAP using Unsupervised

HiGNN: Hierarchical Informative Graph Neural Networks for Molecular
  Property Prediction Equipped with Feature-Wise Attention

Uncertainty-Induced Transferability Representation for Source-Free

Virtual impactor-based label-free bio-aerosol detection using holography
  and deep learning

Graph Distance Neural Networks for Predicting Multiple Drug Interactions

Learned Lossless Image Compression With Combined Autoregressive Models
  And Attention Modules

Airway Tree Modeling Using Dual-channel 3D UNet 3+ with Vesselness Prior

Neural Architecture Search for Improving Latency-Accuracy Trade-off in
  Split Computing

Multi-task learning on nuclear masses and separation energies with the
  kernel ridge regression

A Survey of Augmented Piano Prototypes: Has Augmentation Improved
  Learning Experiences?

Deepfake: Definitions, Performance Metrics and Standards, Datasets and
  Benchmarks, and a Meta-Review

A semi-supervised Teacher-Student framework for surgical tool detection
  and localization

A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function

A Syntax Aware BERT for Identifying Well-Formed Queries in a Curriculum
  Framework

Scalable mRMR feature selection to handle high dimensional datasets:
  Vertical partitioning based Iterative MapReduce framework

Byzantines can also Learn from History: Fall of Centered Clipping in

G2Φnet: Relating Genotype and Biomechanical Phenotype of Tissues
  with Deep Learning

DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples
  Discrimination

A predictor-corrector deep learning algorithm for high dimensional
  stochastic partial differential equations

Masked Video Modeling with Correlation-aware Contrastive Learning for
  Breast Cancer Diagnosis in Ultrasound

DPTNet: A Dual-Path Transformer Architecture for Scene Text Detection

Provably Tightest Linear Approximation for Robustness Verification of
  Sigmoid-like Neural Networks

Twin Papers: A Simple Framework of Causal Inference for Citations via
  Coupling

Can Pre-trained Models Really Learn Better Molecular Representations for
  AI-aided Drug Discovery?

Last-Iterate Convergence with Full- and Noisy-Information Feedback in
  Two-Player Zero-Sum Games

Multi-task Learning for Monocular Depth and Defocus Estimations with
  Real Images

Scattered or Connected? An Optimized Parameter-efficient Tuning Approach
  for Information Retrieval

A Contrastive Pre-training Approach to Learn Discriminative Autoencoder
  for Dense Retrieval

CycleTrans: Learning Neutral yet Discriminative Features for
  Visible-Infrared Person Re-Identification

CODER: Coupled Diversity-Sensitive Momentum Contrastive Learning for
  Image-Text Retrieval

CMSBERT-CLR: Context-driven Modality Shifting BERT with Contrastive
  Learning for linguistic, visual, acoustic Representations

Tyche: A library for probabilistic reasoning and belief modelling in
  Python

Comparison-based Conversational Recommender System with Relative Bandit
  Feedback

qDWI-Morph: Motion-compensated quantitative Diffusion-Weighted MRI
  analysis for fetal lung maturity assessment

Improving Speech Emotion Recognition Through Focus and Calibration
  Attention Mechanisms

Combating Noisy-Labeled and Imbalanced Data by Two Stage Bi-Dimensional
  Sample Selection

Representation Learning with Graph Neural Networks for Speech Emotion

I Know What You Do Not Know: Knowledge Graph Embedding via
  Co-distillation Learning

Memristive Computing for Efficient Inference on Resource Constrained
  Devices

Critical Bach Size Minimizes Stochastic First-Order Oracle Complexity of
  Deep Learning Optimizer using Hyperparameters Close to One

Genome-wide nucleotide-resolution model of single-strand break site
  reveals species evolutionary hierarchy

Turing Machines with Two-level Memory: A Deep Look into the Input/Output
  Complexity

System Fingerprints Detection for DeepFake Audio: An Initial Dataset and
  Investigation

PointDP: Diffusion-driven Purification against Adversarial Attacks on 3D
  Point Cloud Recognition

Forensic Dental Age Estimation Using Modified Deep Learning Neural
  Network

Towards MOOCs for Lipreading: Using Synthetic Talking Heads to Train
  Humans in Lipreading at Scale

Robust Node Classification on Graphs: Jointly from Bayesian Label
  Transition and Topology-based Label Propagation

Visualising Model Training via Vowel Space for Text-To-Speech Systems

ReckOn: A 28nm Sub-mm2 Task-Agnostic Spiking Recurrent Neural Network
  Processor Enabling On-Chip Learning over Second-Long Timescales

Equivalence between finite state stochastic machine, non-dissipative and
  dissipative tight-binding and Schroedinger model

An End-to-End OCR Framework for Robust Arabic-Handwriting Recognition
  using a Novel Transformers-based Model and an Innovative 270 Million-Words
  Multi-Font Corpus of Classical Arabic with Diacritics

FLIS: Clustered Federated Learning via Inference Similarity for Non-IID
  Data Distribution

Evaluating Out-of-Distribution Detectors Through Adversarial Generation
  of Outliers

MLExchange: A web-based platform enabling exchangeable machine learning
  workflows for scientific studies

C$^{2}$IMUFS: Complementary and Consensus Learning-based Incomplete
  Multi-view Unsupervised Feature Selection

How a Small Amount of Data Sharing Benefits Distributed Optimization and
  Learning

A Multi-Head Model for Continual Learning via Out-of-Distribution Replay

Security Implications of Large Language Model Code Assistants: A User
  Study

On Robustness in Nonconvex Optimization with Application to Defense
  Planning

Matrix Completion with Cross-Concentrated Sampling: Bridging Uniform
  Sampling and CUR Sampling

The R-Process Alliance: Chemo-Dynamically Tagged Groups II. An Extended
  Sample of Halo $r$-Process-Enhanced Stars

Improving Multilayer-Perceptron(MLP)-based Network Anomaly Detection
  with Birch Clustering on CICIDS-2017 Dataset

Adversarial contamination of networks in the setting of vertex
  nomination: a new trimming method

DenseShift: Towards Accurate and Transferable Low-Bit Shift Network

Fuse and Attend: Generalized Embedding Learning for Art and Sketches

Carbon phase diagram with empirical and machine learned interatomic

Learning Sub-Pixel Disparity Distribution for Light Field Depth

Machine learning based surrogate models for microchannel heat sink

Data Centred Intelligent Geosciences: Research Agenda and Opportunities,
  Position Paper

Modeling, Quantifying, and Predicting Subjectivity of Image Aesthetics

Visual Analysis of Neural Architecture Spaces for Summarizing Design
  Principles

Feature Identification in Complex Fluid Flows by Convolutional Neural
  Networks

Offline Handwritten Mathematical Recognition using Adversarial Learning
  and Transformers

Trigger-free Event Detection via Derangement Reading Comprehension

A biologically-inspired multi-modal evaluation of molecular generative

A Visual Analytics Framework for Composing a Hierarchical Classification
  for Medieval Illuminations

A Domain Generalization Approach for Out-Of-Distribution 12-lead ECG
  Classification with Convolutional Neural Networks

Few-Shot Learning of Accurate Folding Landscape for Protein Structure

Combining Machine Learning and Many-body Calculations:
  Coverage-Dependent Adsorption of CO on Rh(111)

The computational complexity of some explainable clustering problems

Challenges and Complexities in Machine Learning based Credit Card Fraud
  Detection

Are You Comfortable Now: Deep Learning the Temporal Variation in Thermal
  Comfort in Winters

Persuasion Strategies in Advertisements: Dataset, Modeling, and
  Baselines

SPOT: Knowledge-Enhanced Language Representations for Information

AntCritic: Argument Mining for Free-Form and Visually-Rich Financial
  Comments

Quo Vadis: Hybrid Machine Learning Meta-Model based on Contextual and
  Behavioral Malware Representations

General-to-Specific Transfer Labeling for Domain Adaptable Keyphrase

Looking For A Match: Self-supervised Clustering For Automatic Doubt
  Matching In e-learning Platforms

Transferable Cross-Tokamak Disruption Prediction with Deep Hybrid Neural
  Network Feature Extractor

TopoDiff: A Performance and Constraint-Guided Diffusion Model for
  Topology Optimization

Data-Driven Causal Effect Estimation Based on Graphical Causal
  Modelling: A Survey

HySAGE: A Hybrid Static and Adaptive Graph Embedding Network for
  Context-Drifting Recommendations

Sharp Analysis of Sketch-and-Project Methods via a Connection to
  Randomized Singular Value Decomposition

Learning in Audio-visual Context: A Review, Analysis, and New

Contrastive Domain Adaptation for Early Misinformation Detection: A Case
  Study on COVID-19

Reversible Data hiding in Encrypted Domain with Public Key Embedding
  Mechanism

Study of Novel Sparse Array Design Based on the Maximum Inter-Element
  Spacing Criterion

A Dual Modality Approach For (Zero-Shot) Multi-Label Classification

Neural network facilitated ab initio derivation of linear formula: A
  case study on formulating the relationship between DNA motifs and gene
  expression

Evaluating Diverse Knowledge Sources for Online One-shot Learning of
  Novel Tasks

Sudakov-Fernique post-AMP, and a new proof of the local convexity of the
  TAP free energy

Meta Learning for High-dimensional Ising Model Selection Using
  $\ell_1$-regularized Logistic Regression

Predicting Exotic Hadron Masses with Data Augmentation Using Multilayer
  Perceptron

Glass-Vault: A Generic Transparent Privacy-preserving Exposure
  Notification Analytics Platform

Recurrent Neural Network-based Anti-jamming Framework for Defense
  Against Multiple Jamming Policies

Exploring Popularity Bias in Music Recommendation Models and Commercial
  Steaming Services

Spectral Decomposition Representation for Reinforcement Learning

Exploring the Limits of Synthetic Creation of Solar EUV Images via
  Image-to-Image Translation

Topical: Learning Repository Embeddings from Source Code using Attention

Communication Size Reduction of Federated Learning based on Neural ODE
  Model

Carefully choose the baseline: Lessons learned from applying XAI
  attribution methods for regression tasks in geoscience

Gender Bias and Universal Substitution Adversarial Attacks on
  Grammatical Error Correction Systems for Automated Assessment

A Physics-based Domain Adaptation framework for modelling and
  forecasting building energy systems

Unified Policy Optimization for Continuous-action Reinforcement Learning
  in Non-stationary Tasks and Games

A Novel Plug-and-Play Approach for Adversarially Robust Generalization

MonoPCNS: Monocular 3D Object Detection via Point Cloud Network

Feature Selection for Fault Detection and Prediction based on Event Log
  Analysis

Graph-Augmented Cyclic Learning Framework for Similarity Estimation of
  Medical Clinical Notes

Estimating a potential without the agony of the partition function

Federated Select: A Primitive for Communication- and Memory-Efficient

Curbing Task Interference using Representation Similarity-Guided
  Multi-Task Feature Sharing

Hierarchical Compositional Representations for Few-shot Action

Forecasting Evolution of Clusters in StarCraft II with Hebbian Learning

SAFARI: Versatile and Efficient Evaluations for Robustness of
  Interpretability

Aspect-based Sentiment Classification with Sequential Cross-modal
  Semantic Graph

Diffusion-based Time Series Imputation and Forecasting with Structured
  State Space Models

Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise

Predicting the protein-ligand affinity from molecular dynamics
  trajectories

J-PLUS: Discovery and characterisation of ultracool dwarfs using Virtual
  Observatory tools II. Second data release and machine learning methodology

Personalized Federated Recommendation via Joint Representation Learning,
  User Clustering, and Model Adaptation

Non-Stationary Dynamic Pricing Via Actor-Critic Information-Directed
  Pricing

Learning filtered discretization operators: non-intrusive versus
  intrusive approaches

PyMIC: A deep learning toolkit for annotation-efficient medical image

FORBID: Fast Overlap Removal By stochastic gradIent Descent for Graph
  Drawing

Machine Learning-Based Distributed Authentication of UWAN Nodes with
  Limited Shared Information

Self-Supervised Visual Place Recognition by Mining Temporal and Feature
  Neighborhoods

Intensity-Aware Loss for Dynamic Facial Expression Recognition in the
  Wild

Graph Convolutional Networks from the Perspective of Sheaves and the
  Neural Tangent Kernel

Expressing Multivariate Time Series as Graphs with Time Series Attention

Locally temporal-spatial pattern learning with graph attention mechanism
  for EEG-based emotion recognition

Feature Selection Enhancement and Feature Space Visualization for
  Speech-Based Emotion Recognition

A Two-phase Metamorphic Approach for Testing Industrial Control Systems

Mitigating Disparity while Maximizing Reward: Tight Anytime Guarantee
  for Improving Bandits

Deep Joint Source-Channel and Encryption Coding: Secure Semantic

An Unsupervised Short- and Long-Term Mask Representation for
  Multivariate Time Series Anomaly Detection

SoMoFormer: Social-Aware Motion Transformer for Multi-Person Motion

Demystifying Randomly Initialized Networks for Evaluating Generative
  Models

Almost Cost-Free Communication in Federated Best Arm Identification

Graph Neural Network Based Node Deployment for Throughput Enhancement

Improving Post-Processing of Audio Event Detectors Using Reinforcement
  Learning

To show or not to show: Redacting sensitive text from videos of
  electronic displays

EAA-Net: Rethinking the Autoencoder Architecture with Intra-class
  Features for Medical Image Segmentation

Real-Time Robust Video Object Detection System Against Physical-World

Cross-Domain Evaluation of a Deep Learning-Based Type Inference System

A Physics-informed Deep Learning Approach for Minimum Effort Stochastic
  Control of Colloidal Self-Assembly

Effective Transfer Learning for Low-Resource Natural Language

Crafting Monocular Cues and Velocity Guidance for Self-Supervised
  Multi-Frame Depth Learning

Requirements and impacts of energy storage characteristics in a highly
  renewable European energy system

Application of Causal Inference to Analytical Customer Relationship
  Management in Banking and Insurance

Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a
  Single Machine via Provably Optimal In-memory Caching

Part-aware Prototypical Graph Network for One-shot Skeleton-based Action

Disentangled Representation with Causal Constraints for Counterfactual
  Fairness

Semi-analytic PINN methods for singularly perturbed boundary value
  problems

Classification Performance Metric Elicitation and its Applications

Vector Quantized Diffusion Model with CodeUnet for Text-to-Sign Pose
  Sequences Generation

DAFT: Distilling Adversarially Fine-tuned Models for Better OOD

Personalizing Intervened Network for Long-tailed Sequential User

Coarse-to-Fine: Hierarchical Multi-task Learning for Natural Language

IAN: Iterated Adaptive Neighborhoods for manifold learning and
  dimensionality estimation

Towards Unbiased Label Distribution Learning for Facial Pose Estimation
  Using Anisotropic Spherical Gaussian

Discourse Cohesion Evaluation for Document-Level Neural Machine

Learning Local Volt/Var Controllers Towards Efficient Network Operation
  with Stability Guarantees

Universally Adaptive Cross-Platform Reinforcement Learning Testing via
  GUI Image Understanding

3M: An Effective Multi-view, Multi-granularity, and Multi-aspect
  Modeling Approach to English Pronunciation Assessment

MonaCoBERT: Monotonic attention based ConvBERT for Knowledge Tracing

A Causality-Based Learning Approach for Discovering the Underlying
  Dynamics of Complex Systems from Partial Observations with Stochastic
  Parameterization

Simulation-Informed Revenue Extrapolation with Confidence Estimate for
  Scaleup Companies Using Scarce Time-Series Data

Discovering Faint and High Apparent Motion Rate Near-Earth Asteroids
  Using A Deep Learning Program

Representation Learning for the Automatic Indexing of Sound Effects
  Libraries

Out-of-distribution Detection via Frequency-regularized Generative
  Models

A Multi-Modal Wildfire Prediction and Personalized Early-Warning System
  Based on a Novel Machine Learning Framework

dPMP-Deep Probabilistic Motion Planning: A use case in Strawberry
  Picking Robot

Electronic, Wireless, and Photonic Network-on-Chip Security: Challenges
  and Countermeasures

How important are socioeconomic factors for hurricane performance of
  power systems? An analysis of disparities through machine learning

MARTI-4: new model of human brain, considering neocortex and basal
  ganglia -- learns to play Atari game by reinforcement learning on a single
  CPU

Machine learning algorithms for three-dimensional mean-curvature
  computation in the level-set method

Self-Supervised Primal-Dual Learning for Constrained Optimization

Is Monte Carlo a bad sampling strategy for learning smooth functions in
  high dimensions?

In Silico Prediction of Blood-Brain Barrier Permeability of Chemical
  Compounds through Molecular Feature Modeling

An introduction to the concept of function within Descartes's algebra of
  segments

Quantitative Universal Approximation Bounds for Deep Belief Networks

GraTO: Graph Neural Network Framework Tackling Over-smoothing with

Single-Stage Open-world Instance Segmentation with Cross-task
  Consistency Regularization

VAuLT: Augmenting the Vision-and-Language Transformer for Sentiment
  Classification on Social Media

Improving Small Molecule Generation using Mutual Information Machine

Treeformer: Dense Gradient Trees for Efficient Attention Computation

Nonlinearity of the post-spinel transition and its expression in slabs
  and plumes worldwide

Blind Image Deblurring with Unknown Kernel Size and Substantial Noise

A semantic web approach to uplift decentralized household energy data

GSRFormer: Grounded Situation Recognition Transformer with Alternate
  Semantic Attention Refinement

DeepClouds.ai: Deep learning enabled computationally cheap direct
  numerical simulations

A Hybrid Self-Supervised Learning Framework for Vertical Federated
  Learning

Sequence Prediction Under Missing Data : An RNN Approach Without
  Imputation

ManiFlow: Implicitly Representing Manifolds with Normalizing Flows

Learning-based estimation of in-situ wind speed from underwater
  acoustics

Learned Indexing in Proteins: Extended Work on Substituting Complex
  Distance Calculations with Embedding and Clustering Techniques

GomalizingFlow.jl: A Julia package for Flow-based sampling algorithm for
  lattice field theory

Designing, Modeling, and Optimizing Data-Intensive Computing Systems

The Gaia-ESO Survey: Preparing the ground for 4MOST & WEAVE galactic
  surveys -- Chemical Evolution of Lithium with Machine-Learning

The Gaia-ESO Survey: Chemical evolution of Mg and Al in the Milky Way
  with Machine-Learning

Network inference via process motifs for lagged correlation in linear
  stochastic processes

Unsupervised Interpretable Learning of Phases From Many-Qubit Systems

A Two-stream Convolutional Network for Musculoskeletal and Neurological
  Disorders Prediction

Debiasing Neighbor Aggregation for Graph Neural Network in Recommender
  Systems

Outlier Detection using Self-Organizing Maps for Automated Blood Cell
  Analysis

Discovering Bugs in Vision Models using Off-the-shelf Image Generation
  and Captioning

Learning Spatial-Frequency Transformer for Visual Object Tracking

A Coarse-to-Fine Approach for Urban Land Use Mapping Based on
  Multisource Geospatial Data

COPE: End-to-end trainable Constant Runtime Object Pose Estimation

Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations
  Among Team Members

Explainable Reinforcement Learning on Financial Stock Trading using SHAP

Towards Label-efficient Automatic Diagnosis and Analysis: A
  Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised,
  Semi-supervised and Self-supervised Techniques in Histopathological Image
  Analysis

Efficient data-driven gap filling of satellite image time series using
  deep neural networks with partial convolutions

Evaluating Continual Test-Time Adaptation for Contextual and Semantic
  Domain Shifts

Graph Embeddings via Tensor Products and Approximately Orthonormal Codes

FedComm: Understanding Communication Protocols for Edge-based Federated
  Learning

Speech Representation Disentanglement with Adversarial Mutual
  Information Learning for One-shot Voice Conversion

Trustworthy modelling of atmospheric formaldehyde powered by deep
  learning

MPInspector: A Systematic and Automatic Approach for Evaluating the
  Security of IoT Messaging Protocols

Exploring and Exploiting Multi-Granularity Representations for Machine

Quantum phase detection generalisation from marginal quantum neural
  network models

Global Convergence of Two-timescale Actor-Critic for Solving Linear
  Quadratic Regulator

A Joint Framework to Privacy-Preserving Edge Intelligence in Vehicular
  Networks

Bayesian Optimization Augmented with Actively Elicited Expert Knowledge

Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for

RFLA: Gaussian Receptive Field based Label Assignment for Tiny Object
  Detection

Intelligent problem-solving as integrated hierarchical reinforcement
  learning

Reconstruction of tokamak plasma safety factor profile using deep
  learning

Efficient Signed Graph Sampling via Balancing & Gershgorin Disc Perfect
  Alignment

Learning Generative Models for Active Inference using Tensor Networks

Deep Neural Network Approximation of Invariant Functions through

Resisting Adversarial Attacks in Deep Neural Networks using Diverse
  Decision Boundaries

KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly
  Exposed Videos

Intention estimation from gaze and motion features for human-robot
  shared-control object manipulation

T-Person-GAN: Text-to-Person Image Generation with Identity-Consistency
  and Manifold Mix-Up

Reproducibility Report: Contrastive Learning of Socially-aware Motion

Communication-Efficient Decentralized Online Continuous DR-Submodular

Enhancing Targeted Attack Transferability via Diversified Weight Pruning

Tree species classification from hyperspectral data using
  graph-regularized neural networks

RRWaveNet: A Compact End-to-End Multi-Scale Residual CNN for Robust PPG
  Respiratory Rate Estimation

On an Application of Generative Adversarial Networks on Remaining
  Lifetime Estimation

Enhancing Diffusion-Based Image Synthesis with Robust Classifier
  Guidance

Private, Efficient, and Accurate: Protecting Models Trained by
  Multi-party Learning with Differential Privacy

Domain-Specific Risk Minimization for Out-of-Distribution Generalization

Generating Synthetic Clinical Data that Capture Class Imbalanced
  Distributions with Generative Adversarial Networks: Example using
  Antiretroviral Therapy for HIV

Modeling road user response timing in naturalistic settings: a
  surprise-based framework

A Tree-structured Transformer for Program Representation Learning

Lost in the Shuffle: Testing Power in the Presence of Errorful Network
  Vertex Labels

Physics-Informed Neural Network Method for Parabolic Differential
  Equations with Sharply Perturbed Initial Conditions

ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency

MulZDG: Multilingual Code-Switching Framework for Zero-shot Dialogue

CP-PINNs: Changepoints Detection in PDEs using Physics Informed Neural
  Networks with Total-Variation Penalty

Domain Camera Adaptation and Collaborative Multiple Feature Clustering
  for Unsupervised Person Re-ID

Challenges and opportunities in applying Neural Temporal Point Processes
  to large scale industry data

LoRD: Local 4D Implicit Representation for High-Fidelity Dynamic Human
  Modeling

Hybrid Learning with New Value Function for the Maximum Common Subgraph
  Problem

Group-based control of large-scale micro-robot swarms with on-board
  Physical Finite-State Machines

Visual Explanation of Deep Q-Network for Robot Navigation by Fine-tuning
  Attention Branch

Truth-Table Net: A New Convolutional Architecture Encodable By Design
  Into SAT Formulas

See Finer, See More: Implicit Modality Alignment for Text-based Person
  Retrieval

AoI-based Temporal Attention Graph Neural Network for Popularity
  Prediction and Content Caching

Contrastive Semi-supervised Learning for Domain Adaptive Segmentation
  Across Similar Anatomical Structures

Towards Practical Single-shot Phase Retrieval with Physics-Driven Deep

Robust Causal Graph Representation Learning against Confounding Effects

Merchandise Recommendation for Retail Events with Word Embedding
  Weighted Tf-idf and Dynamic Query Expansion

MvDeCor: Multi-view Dense Correspondence Learning for Fine-grained 3D

DIET: Conditional independence testing with marginal dependence measures
  of residual information

ObfuNAS: A Neural Architecture Search-based DNN Obfuscation Approach

High Probability Bounds for Stochastic Subgradient Schemes with Heavy
  Tailed Noise

Embracing Graph Neural Networks for Hardware Security (Invited Paper)

A Framework for Understanding and Visualizing Strategies of RL Agents

Estimating individual treatment effects under unobserved confounding
  using binary instruments

Node-level community detection within edge exchangeable models for
  interaction processes

Learn to Detect and Detect to Learn: Structure Learning and Decision
  Feedback for MIMO-OFDM Receive Processing

Analyzing Robustness of End-to-End Neural Models for Automatic Speech

On the evolution of research in hypersonics: application of natural
  language processing and machine learning

NET-FLEET: Achieving Linear Convergence Speedup for Fully Decentralized
  Federated Learning with Heterogeneous Data

Complex-Value Spatio-temporal Graph Convolutional Neural Networks and
  its Applications to Electric Power Systems AI

"Task-relevant autoencoding" enhances machine learning for human
  neuroscience

Multi-View Correlation Consistency for Semi-Supervised Semantic

Label Flipping Data Poisoning Attack Against Wearable Human Activity
  Recognition System

SYNTHESIS: A Semi-Asynchronous Path-Integrated Stochastic Gradient
  Method for Distributed Learning in Computing Clusters

Conformal Inference for Online Prediction with Arbitrary Distribution
  Shifts

The Counterfactual-Shapley Value: Attributing Change in System Metrics

LAMA-Net: Unsupervised Domain Adaptation via Latent Alignment and
  Manifold Learning for RUL Prediction

Deep Generative Views to Mitigate Gender Classification Bias Across
  Gender-Race Groups

Commander's Intent: A Dataset and Modeling Approach for Human-AI Task
  Specification in Strategic Play

Radial basis approximation of tensor fields on manifolds: From operator
  estimation to manifold learning

Semantic Communications with Discrete-time Analog Transmission: A PAPR

Class-Aware Visual Prompt Tuning for Vision-Language Pre-Trained Model

SO(3)-Pose: SO(3)-Equivariance Learning for 6D Object Pose Estimation

Robust and scalable uncertainty estimation with conformal prediction for
  machine-learned interatomic potentials

Towards Learning in Grey Spatiotemporal Systems: A Prophet to
  Non-consecutive Spatiotemporal Dynamics

Leukocyte Classification using Multimodal Architecture Enhanced by

BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic
  Consistency

Active Learning for Deterministic Bottom-up Nominal Tree Automata

Video-TransUNet: Temporally Blended Vision Transformer for CT VFSS

SC-Explorer: Incremental 3D Scene Completion for Safe and Efficient
  Exploration Mapping and Planning

Position-aware Structure Learning for Graph Topology-imbalance by
  Relieving Under-reaching and Over-squashing

Transformer-Based Deep Learning Model for Stock Price Prediction: A Case
  Study on Bangladesh Stock Market

ParaColorizer: Realistic Image Colorization using Parallel Generative
  Networks

Silicon sensors with resistive read-out: Machine Learning techniques for
  ultimate spatial resolution

Debiased Inference on Identified Linear Functionals of Underidentified
  Nuisances via Penalized Minimax Estimation

Metal artifact correction in cone beam computed tomography using
  synthetic X-ray data

Sparse Nonnegative Tucker Decomposition and Completion under Noisy
  Observations

Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction

On the Privacy Effect of Data Enhancement via the Lens of Memorization

Solving nonequilibrium statistical mechanics by evolving autoregressive

Semi-Supervised Anomaly Detection Based on Quadratic Multiform
  Separation

Multimodal foundation models are better simulators of the human brain

Stochastic learning control of adiabatic speedup in a non-Markovian open
  qutrit system

Long-term dynamics of fairness: understanding the impact of data-driven
  targeted help on job seekers

ILLUME: Rationalizing Vision-Language Models by Interacting with their
  Jabber

Performance Optimization for Semantic Communications: An Attention-based
  Reinforcement Learning Approach

Safety Assessment for Autonomous Systems' Perception Capabilities

DPA-1: Pretraining of Attention-based Deep Potential Model for Molecular

Dynamical softassign and adaptive parameter tuning for graph matching

HELP ME THINK: A Simple Prompting Strategy for Non-experts to Create
  Customized Content with Models

Two-Stage Robust and Sparse Distributed Statistical Inference for
  Large-Scale Data

Simulation of angular resolution of a new electromagnetic sampling
  calorimeter

A Scalable and Extensible Approach to Benchmarking NL2Code for 18
  Programming Languages

Auto-segmentation of Hip Joints using MultiPlanar UNet with Transfer
  learning

Which Factors Drive Open Access Publishing? A Springer Nature Case Study

Towards an Error-free Deep Occupancy Detector for Smart Camera Parking
  System

How does the degree of novelty impacts semi-supervised representation
  learning for novel class retrieval?

SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault
  Diagnosis in Chemical Processes

EEG-BBNet: a Hybrid Framework for Brain Biometric using Graph
  Connectivity

NeurIPS Competition Instructions and Guide: Causal Insights for Learning
  Paths in Education

AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection
  Approach

Assurance Cases as Foundation Stone for Auditing AI-enabled and
  Autonomous Systems: Workshop Results and Political Recommendations for Action
  from the ExamAI Project

Transformer Vs. MLP-Mixer: Exponential Expressive Gap For NLP Problems

DeepSportradar-v1: Computer Vision Dataset for Sports Understanding with
  High Quality Annotations

Expressivity of Hidden Markov Chains vs. Recurrent Neural Networks from
  a system theoretic viewpoint

Random Search Hyper-Parameter Tuning: Expected Improvement Estimation
  and the Corresponding Lower Bound

Data-Efficient Vision Transformers for Multi-Label Disease
  Classification on Chest Radiographs

Early heart disease prediction using hybrid quantum classification

A Monotonicity Constrained Attention Module for Emotion Classification
  with Limited EEG Data

A Concept and Argumentation based Interpretable Model in High Risk
  Domains

Gradient-Based Meta-Learning Using Uncertainty to Weigh Loss for

Metric Residual Networks for Sample Efficient Goal-Conditioned

Maximising the Utility of Validation Sets for Imbalanced Noisy-label
  Meta-learning

Domestic sound event detection by shift consistency mean-teacher
  training and adversarial domain adaptation

On the Performance of Deep Learning-based Data-aided Active User
  Detection for GF-SCMA System

Autism spectrum disorder classification based on interpersonal neural
  synchrony: Can classification be improved by dyadic neural biomarkers using
  unsupervised graph representation learning?

An Empirical Study on the Membership Inference Attack against Tabular
  Data Synthesis Models

DLCFT: Deep Linear Continual Fine-Tuning for General Incremental
  Learning

PCC: Paraphrasing with Bottom-k Sampling and Cyclic Learning for
  Curriculum Data Augmentation

Disentangling Identity and Pose for Facial Expression Recognition

Near Threshold Computation of Partitioned Ring Learning With Error
  (RLWE) Post Quantum Cryptography on Reconfigurable Architecture

Paint2Pix: Interactive Painting based Progressive Image Synthesis and
  Editing

Progressive Cross-modal Knowledge Distillation for Human Action

Constrained Few-Shot Learning: Human-Like Low Sample Complexity Learning
  and Non-Episodic Text Classification

AutoTSMM: An Auto-tuning Framework for Building High-Performance
  Tall-and-Skinny Matrix-Matrix Multiplication on CPUs

Autonomous Resource Management in Construction Companies Using Deep
  Reinforcement Learning Based on IoT

Efficient Detection and Filtering Systems for Distributed Training

Performance Evaluation of Selective Fixed-filter Active Noise Control
  based on Different Convolutional Neural Networks

Two Heads are Better than One: Robust Learning Meets Multi-branch Models

A Hybrid SFANC-FxNLMS Algorithm for Active Noise Control based on Deep
  Learning

Evaluating virtual laboratory platforms for supporting on-line
  information security courses

Multimodal Lecture Presentations Dataset: Understanding Multimodality in
  Educational Slides

An Efficient Multi-Step Framework for Malware Packing Identification

ASTRO: An AST-Assisted Approach for Generalizable Neural Clone Detection

Opening the Black Box of the Radiation Belt Machine Learning Model

Revisiting the propensity score's central role: Towards bridging balance
  and efficiency in the era of causal machine learning

Semi-supervised Learning with Deterministic Labeling and Large Margin
  Projection

Deep-Learning-Aided Voltage-Stability-Enhancing Stochastic Distribution
  Network Reconfiguration

Urban feature analysis from aerial remote sensing imagery using
  self-supervised and semi-supervised computer vision

Soft MIMO Detection Using Marginal Posterior Probability Statistics

InterTrack: Interaction Transformer for 3D Multi-Object Tracking

Artificial Intelligence Empowered Multiple Access for Ultra Reliable and
  Low Latency THz Wireless Networks

UniLayout: Taming Unified Sequence-to-Sequence Transformers for Graphic
  Layout Generation

Deep Reinforcement Learning based Robot Navigation in Dynamic
  Environments using Occupancy Values of Motion Primitives

Deep Learning based Security-Constrained Unit Commitment Considering
  Locational Frequency Stability in Low-Inertia Power Systems

AutoCAT: Reinforcement Learning for Automated Exploration of Cache
  Timing-Channel Attacks

CCL4Rec: Contrast over Contrastive Learning for Micro-video

Low-Mass dark matter (in)direct detection with inelastic scattering

Cross-Domain Few-Shot Classification via Inter-Source Stylization

Disentangled Speaker Representation Learning via Mutual Information

Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest

ShortcutLens: A Visual Analytics Approach for Exploring Shortcuts in
  Natural Language Understanding Dataset

Field-wise Embedding Size Search via Structural Hard Auxiliary Mask
  Pruning for Click-Through Rate Prediction

The Final Ascent: When Bigger Models Generalize Worse on Noisy-Labeled
  Data

A Study on Learning and Simulating Personalized Car-Following Driving
  Style

DeeperDive: The Unreasonable Effectiveness of Weak Supervision in
  Document Understanding A Case Study in Collaboration with UiPath Inc

What Artificial Neural Networks Can Tell Us About Human Language
  Acquisition

DICE: Data-Efficient Clinical Event Extraction with Generative Models

Federated Multi-Discriminator BiWGAN-GP based Collaborative Anomaly
  Detection for Virtualized Network Slicing

Tiny-HR: Towards an interpretable machine learning pipeline for heart
  rate estimation on edge devices

Resource-aware Federated Learning using Knowledge Extraction and
  Multi-model Fusion

NMPC-LBF: Nonlinear MPC with Learned Barrier Function for Decentralized
  Safe Navigation of Multiple Robots in Unknown Environments

Centroid Molecular Dynamics Can Be Greatly Accelerated Through Neural
  Network Learned Centroid Forces Derived from Path Integral Molecular Dynamics

"Are you okay, honey?": Recognizing Emotions among Couples Managing
  Diabetes in Daily Life using Multimodal Real-World Smartwatch Data

Blind Users Accessing Their Training Images in Teachable Object
  Recognizers

Mixed Quantum-Classical Method For Fraud Detection with Quantum Feature
  Selection

Generative Thermal Design Through Boundary Representation and
  Multi-Agent Cooperative Environment

On the generalization of learning algorithms that do not converge

Measuring Statistical Dependencies via Maximum Norm and Characteristic
  Functions

Semi-supervised Transfer Learning for Evaluation of Model Classification

FedPerm: Private and Robust Federated Learning by Parameter Permutation

PD-MORL: Preference-Driven Multi-Objective Reinforcement Learning
  Algorithm

Reducing the background in X-ray imaging detectors via machine learning

On the Convergence of Multi-Server Federated Learning with Overlapping
  Area

Error Parity Fairness: Testing for Group Fairness in Regression Tasks

A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free

Estimating Appearance Models for Image Segmentation via Tensor

Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation
  with Large Language Models

Diagnosis of COVID-19 disease using CT scan images and pre-trained
  models

Learning Facial Liveness Representation for Domain Generalized Face
  Anti-spoofing

A Deep Reinforcement Learning-based Adaptive Charging Policy for
  Wireless Rechargeable Sensor Networks

Deep Reinforcement Learning for RIS-aided Multiuser Full-Duplex Secure
  Communications with Hardware Impairments

Training Latent Variable Models with Auto-encoding Variational Bayes: A
  Tutorial

Adaptive POVM implementations and measurement error mitigation
  strategies for near-term quantum devices

Quantum Machine Learning for Material Synthesis and Hardware Security

Does Lorentz-symmetric design boost network performance in jet physics?

Counterfactual Supervision-based Information Bottleneck for
  Out-of-Distribution Generalization

Delaunay-Triangulation-Based Learning with Hessian Total-Variation

SMPL-IK: Learned Morphology-Aware Inverse Kinematics for AI Driven
  Artistic Workflows

Unsupervised Domain Adaptation for Segmentation with Black-box Source
  Model

Enhancing Dynamic Mode Decomposition Workflow with In-Situ Visualization
  and Data Compression

Solving the Diffusion of Responsibility Problem in Multiagent
  Reinforcement Learning with a Policy Resonance Approach

Predicting student performance using sequence classification with
  time-based windows

Linear and Nonlinear Dimensionality Reduction from Fluid Mechanics to

Wave simulation in non-smooth media by PINN with quadratic neural
  network and PML condition

A Latent Feature Analysis-based Approach for Spatio-Temporal Traffic
  Data Recovery

Learning Operators with Ignore Effects for Bilevel Planning in
  Continuous Domains

Rain Removal from Light Field Images with 4D Convolution and Multi-scale

Self-supervision is not magic: Understanding Data Augmentation in Image

Complex-Valued K-means Clustering for Interpolative Separable Density
  Fitting to Large-Scale Hybrid Functional Ab Initio Molecular Dynamics with
  Plane-Wave Basis Sets

Unsupervised domain adaptation semantic segmentation of high-resolution
  remote sensing imagery with invariant domain-level context memory

Novel Deep Learning Approach to Derive Cytokeratin Expression and
  Epithelium Segmentation from DAPI

Generating a Terrain-Robustness Benchmark for Legged Locomotion: A
  Prototype via Terrain Authoring and Active Learning

Enhancement to Training of Bidirectional GAN : An Approach to Demystify
  Tax Fraud

On Optimizing Back-Substitution Methods for Neural Network Verification

Representation Learning on Graphs to Identifying Circular Trading in
  Goods and Services Tax

Uconv-Conformer: High Reduction of Input Sequence Length for End-to-End

A Hybrid Deep Feature-Based Deformable Image Registration Method for
  Pathological Images

Matching Multiple Perspectives for Efficient Representation Learning

CorpusBrain: Pre-train a Generative Retrieval Model for
  Knowledge-Intensive Language Tasks

A Review of the Convergence of 5G/6G Architecture and Deep Learning

Educating Reflective Systems Developers at Scale: Towards productive
  feedback in a semi-capstone large-scale software engineering course

Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex
  Logical Queries

Online Learning for Non-monotone Submodular Maximization: From Full
  Information to Bandit Feedback

FALCON: Sound and Complete Neural Semantic Entailment over ALC
  Ontologies

Algorithmic Assistance with Recommendation-Dependent Preferences

KRACL: Contrastive Learning with Graph Context Modeling for Sparse
  Knowledge Graph Completion

Does lossy image compression affect racial bias within face recognition?

Accelerating nanomaterials discovery with artificial intelligence at the
  HPC centers

Online Learning Based NLOS Ranging Error Mitigation in 5G Positioning

Multi-Point Integrated Sensing and Communication: Fusion Model and
  Functionality Selection

Neural Networks for Extreme Quantile Regression with an Application to
  Forecasting of Flood Risk

Efficient Multimodal Transformer with Dual-Level Feature Restoration for
  Robust Multimodal Sentiment Analysis

Deletion Robust Non-Monotone Submodular Maximization over Matroids

SOLBP: Second-Order Loopy Belief Propagation for Inference in Uncertain
  Bayesian Networks

A unifying partially-interpretable framework for neural network-based
  extreme quantile regression

Object Discovery via Contrastive Learning for Weakly Supervised Object
  Detection

Higher-order accurate two-sample network inference and network hashing

Multi-dimensional topological loss for cortical plate segmentation in
  fetal brain MRI

Data-driven End-to-end Learning of Pole Placement Control for Nonlinear
  Dynamics via Koopman Invariant Subspaces

Coil2Coil: Self-supervised MR image denoising using phased-array coil
  images

Hybrid UAV-enabled Secure Offloading via Deep Reinforcement Learning

Multi-level Contrast Network for Wearables-based Joint Activity
  Segmentation and Recognition

Social Interactions for Autonomous Driving: A Review and Perspectives

Reliable Decision from Multiple Subtasks through Threshold Optimization:
  Content Moderation in the Wild

Combinatorial optimization solving by coherent Ising machines based on
  spiking neural networks

Universal Solutions of Feedforward ReLU Networks for Interpolations

HetVis: A Visual Analysis Approach for Identifying Data Heterogeneity in
  Horizontal Federated Learning

Deep convolutional surrogates and degrees of freedom in thermal design

CTI4AI: Threat Intelligence Generation and Sharing after Red Teaming AI
  Models

Semidefinite Programming versus Burer-Monteiro Factorization for Matrix
  Sensing

Encoding Integers and Rationals on Neuromorphic Computers using Virtual
  Neuron

An Overview and Prospective Outlook on Robust Training and Certification
  of Machine Learning Models

Conv-Adapter: Exploring Parameter Efficient Transfer Learning for
  ConvNets

A Library for Representing Python Programs as Graphs for Machine
  Learning

Hypergraphs with Edge-Dependent Vertex Weights: p-Laplacians and
  Spectral Clustering

Invariant Inference With Provable Complexity From the Monotone Theory

Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs:
  Application to Seizure Analysis

C3-DINO: Joint Contrastive and Non-contrastive Self-Supervised Learning
  for Speaker Verification

Exploring the Viability of Robot-supported Flipped Classes in English
  for Medical Purposes Reading Com-prehension

WatchPed: Pedestrian Crossing Intention Prediction Using Embedded
  Sensors of Smartwatch

The Laplace method for energy eigenvalue problems in quantum mechanics

Deep Reinforcement Learning for RIS-Assisted FD Systems: Single or
  Distributed RIS?

Deep Unsupervised Domain Adaptation: A Review of Recent Advances and

An Efficient Multi-Scale Fusion Network for 3D Organ at Risk (OAR)

Progress towards machine learning methodologies for laser-induced
  breakdown spectroscopy with an emphasis on soil analysis

Reward Design For An Online Reinforcement Learning Algorithm Supporting
  Oral Self-Care

Combining Predictions under Uncertainty: The Case of Random Decision
  Trees

Dürfen Maschinen denken (können)? Warum Künstliche Intelligenz
  eine Ethik braucht. (Are Machines Allowed to (be able to) Think? Why
  Artificial Intelligence Needs Ethics)

Unsupervised Video Domain Adaptation: A Disentanglement Perspective

Online Pole Segmentation on Range Images for Long-term LiDAR
  Localization in Urban Environments

Benchmarking Validation Methods for Unsupervised Domain Adaptation

Action Recognition based on Cross-Situational Action-object Statistics

Can a latent Hawkes process be used for epidemiological modelling?

LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale

Domain-aware Control-oriented Neural Models for Autonomous Underwater
  Vehicles

Cross-scale Attention Guided Multi-instance Learning for Crohn's Disease
  Diagnosis with Pathological Images

MENLI: Robust Evaluation Metrics from Natural Language Inference

Learn2Trust: A video and streamlit-based educational programme for
  AI-based medical image analysis targeted towards medical students

Transformer-based Value Function Decomposition for Cooperative
  Multi-agent Reinforcement Learning in StarCraft

A Tool for Neural Network Global Robustness Certification and Training

Evaluating and improving real-world evidence with Targeted Learning

Differentiable WORLD Synthesizer-based Neural Vocoder With Application
  To End-To-End Audio Style Transfer

LCSM: A Lightweight Complex Spectral Mapping Framework for Stereophonic
  Acoustic Echo Cancellation

Self-Supervised Multimodal Fusion Transformer for Passive Activity

Understanding the "Pathway" Towards a Searcher's Learning Objective

Regime-based Implied Stochastic Volatility Model for Crypto Option
  Pricing

Combining Gradients and Probabilities for Heterogeneous Approximation of

Bias amplification in experimental social networks is reduced by
  resampling

Energy and Spectrum Efficient Federated Learning via High-Precision
  Over-the-Air Computation

DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images

AMinerGNN: Heterogeneous Graph Neural Network for Paper Click-through
  Rate Prediction with Fusion Query

An Efficient and Reliable Asynchronous Federated Learning Scheme for
  Smart Public Transportation

WiFi Based Distance Estimation Using Supervised Machine Learning

DHSA: Efficient Doubly Homomorphic Secure Aggregation for Cross-silo

One-shot Generative Prior in Hankel-k-space for Parallel Imaging

Cooperative guidance of multiple missiles: a hybrid co-evolutionary
  approach

Urban precipitation downscaling using deep learning: a smart city
  application over Austin, Texas, USA

Quantum bandit with amplitude amplification exploration in an
  adversarial environment

Applying Regularized Schrödinger-Bridge-Based Stochastic Process in

Online 3D Bin Packing Reinforcement Learning Solution with Buffer

Towards Parametric Speech Synthesis Using Gaussian-Markov Model of
  Spectral Envelope and Wavelet-Based Decomposition of F0

Towards Informed Design and Validation Assistance in Computer Games
  Using Imitation Learning

Preventing Deterioration of Classification Accuracy in Predictive Coding
  Networks

Context-aware Mixture-of-Experts for Unbiased Scene Graph Generation

Analysis of impact of emotions on target speech extraction and speech
  separation

Enhancing Deep Learning-based 3-lead ECG Classification with Heartbeat
  Counting and Demographic Data Integration

Scaling Up Dynamic Graph Representation Learning via Spiking Neural
  Networks

Predictive Data Calibration for Linear Correlation Significance Testing

Crowd Counting on Heavily Compressed Images with Curriculum Pre-Training

A Vision Transformer-Based Approach to Bearing Fault Classification via
  Vibration Signals

Hierarchical Attention Network for Few-Shot Object Detection via
  Meta-Contrastive Learning

A Drift Handling Approach for Self-Adaptive ML Software in Scalable
  Industrial Processes

Model Predictive Impedance Control with Gaussian Processes for Human and
  Environment Interaction

Federated Quantum Natural Gradient Descent for Quantum Federated
  Learning

Acceleration of Subspace Learning Machine via Particle Swarm
  Optimization and Parallel Processing

MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood
  Feature Distribution

Automatic Controlling Fish Feeding Machine using Feature Extraction of
  Nutriment and Ripple Behavior

AI for Global Climate Cooperation: Modeling Global Climate Negotiations,
  Agreements, and Long-Term Cooperation in RICE-N

Combining deep learning and crowdsourcing geo-images to predict housing
  quality in rural China

Towards Interpretable Sleep Stage Classification Using Cross-Modal

IRL with Partial Observations using the Principle of Uncertain Maximum
  Entropy

A Unified Causal View of Domain Invariant Representation Learning

A Multi-objective Memetic Algorithm for Auto Adversarial Attack
  Optimization Design

Rényi Cross-Entropy Measures for Common Distributions and Processes
  with Memory

Explainable Artificial Intelligence for Assault Sentence Prediction in
  New Zealand

Faster Attention Is What You Need: A Fast Self-Attention Neural Network
  Backbone Architecture for the Edge via Double-Condensing Attention Condensers

DuETA: Traffic Congestion Propagation Pattern Modeling via Efficient
  Graph Learning for ETA Prediction at Baidu Maps

From Known to Unknown: Quality-aware Self-improving Graph Neural Network
  for Open Set Social Event Detection

STAR-GNN: Spatial-Temporal Video Representation for Content-based
  Retrieval

Privacy-Preserving Decentralized Inference with Graph Neural Networks in
  Wireless Networks

InvisibiliTee: Angle-agnostic Cloaking from Person-Tracking Systems with
  a Tee

A Domain-Specific Language for Simulation-Based Testing of IoT
  Edge-to-Cloud Solutions

Towards Spatio-Temporal Cross-Platform Graph Embedding Fusion for Urban
  Traffic Flow Prediction

GNPassGAN: Improved Generative Adversarial Networks For Trawling Offline
  Password Guessing

Self-Organizing Map Neural Network Algorithm for the Determination of
  Fracture Location in Solid-State Process joined Dissimilar Alloys

Novel Ordering-based Approaches for Causal Structure Learning in the
  Presence of Unobserved Variables

Predicting Creep Failure by Machine Learning -- Which Features Matter?

Single-channel EOG-based human-machine interface with exploratory
  assessments using harmonic source separation

Gradient Mask: Lateral Inhibition Mechanism Improves Performance in
  Artificial Neural Networks

MTCSNN: Multi-task Clinical Siamese Neural Network for Diabetic
  Retinopathy Severity Prediction

Model Generalization: A Sharpness Aware Optimization Perspective

Convolutional Spiking Neural Networks for Detecting Anticipatory Brain
  Potentials Using Electroencephalogram

The SVD of Convolutional Weights: A CNN Interpretability Framework

Global Priors Guided Modulation Network for Joint Super-Resolution and
  Inverse Tone-Mapping

Confidence-Guided Learning Process for Continuous Classification of Time
  Series

Fast Vocabulary Projection Method via Clustering for Multilingual
  Machine Translation on GPU

Frouros: A Python library for drift detection in Machine Learning
  problems

HyP$^2$ Loss: Beyond Hypersphere Metric Space for Multi-label Image
  Retrieval

Virgo: Scalable Unsupervised Classification of Cosmological Shock Waves

Multinomial Logistic Regression Algorithms via Quadratic Gradient

Widely Used and Fast De Novo Drug Design by a Protein Sequence-Based
  Reinforcement Learning Model

Teacher Guided Training: An Efficient Framework for Knowledge Transfer

Remote Photoplethysmography from Low Resolution videos: An end-to-end
  solution using Efficient ConvNets

An Improved Greedy Algorithm for Stochastic Online Scheduling on
  Unrelated Machines

Contrastive Learning for Joint Normal Estimation and Point Cloud
  Filtering

Semi-Supervised Video Inpainting with Cycle Consistency Constraints

Light Weight Character and Shape Recognition for Autonomous Drones

DisenHCN: Disentangled Hypergraph Convolutional Networks for
  Spatiotemporal Activity Prediction

Hybrid explicit-implicit learning for multiscale problems with time
  dependent source

HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields

Text Difficulty Study: Do machines behave the same as humans regarding
  text difficulty?

$β$-Divergence-Based Latent Factorization of Tensors model for QoS
  prediction

Long-Short History of Gradients is All You Need: Detecting Malicious and
  Unreliable Clients in Federated Learning

Link-Backdoor: Backdoor Attack on Link Prediction via Node Injection

TL;DW? Summarizing Instructional Videos with Task Relevance &
  Cross-Modal Saliency

Friendly Noise against Adversarial Noise: A Powerful Defense against
  Data Poisoning Attacks

Predicting skull fractures via CNN with classification algorithms

Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple
  Imbalanced Treatment Effects

Interventional Recommendation with Contrastive Counterfactual Learning
  for Better Understanding User Preferences

Feasibility Layer Aided Machine Learning Approach for Day-Ahead
  Operations

Machine Learning Based Radiomics for Glial Tumor Classification and
  Comparison with Volumetric Analysis

Reliable emulation of complex functionals by active learning with error
  control

A hands-on gaze on HTTP/3 security through the lens of HTTP/2 and a
  public dataset

Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning

A Near-Optimal Algorithm for Univariate Zeroth-Order Budget Convex

An Empirical Comparison of Explainable Artificial Intelligence Methods
  for Clinical Data: A Case Study on Traumatic Brain Injury

Simulating Personal Food Consumption Patterns using a Modified Markov
  Chain

Solving the Schrödinger Equation in the Configuration Space with
  Generative Machine Learning

UAV-CROWD: Violent and non-violent crowd activity simulator from the
  perspective of UAV

BinBert: Binary Code Understanding with a Fine-tunable and
  Execution-aware Transformer

Inverse Extended Kalman Filter -- Part II: Highly Non-Linear and
  Uncertain Systems

A new way of video compression via forward-referencing using deep
  learning

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep
  Models

Finite Sample Complexity of Sequential Monte Carlo Estimators on
  Multimodal Target Distributions

Bidirectional Feature Globalization for Few-shot Semantic Segmentation
  of 3D Point Cloud Scenes

Cloud-Based Real-Time Molecular Screening Platform with MolFormer

SSP-Pose: Symmetry-Aware Shape Prior Deformation for Direct
  Category-Level Object Pose Estimation

Revisiting Adversarial Attacks on Graph Neural Networks for Graph

Imputation Strategies Under Clinical Presence: Impact on Algorithmic
  Fairness

Airborne Radiometric Surveys and Machine Learning Algorithms for
  Revealing Soil Texture

Granular Directed Rough Sets, Concept Organization and Soft Clustering

Opinion Market Model: Stemming Far-Right Opinion Spread using Positive
  Interventions

Self-supervised Contrastive Representation Learning for Semi-supervised
  Time-Series Classification

A Unified Two-Stage Group Semantics Propagation and Contrastive Learning
  Network for Co-Saliency Detection

MetricBERT: Text Representation Learning via Self-Supervised Triplet
  Training

Incoporating Weighted Board Learning System for Accurate Occupational
  Pneumoconiosis Staging

An Adam-adjusting-antennae BAS Algorithm for Refining Latent Factors

Practical Vertical Federated Learning with Unsupervised Representation
  Learning

Confidence Matters: Inspecting Backdoors in Deep Neural Networks via
  Distribution Transfer

Massively Parallel Universal Linear Transformations using a
  Wavelength-Multiplexed Diffractive Optical Network

Enhanced Vehicle Re-identification for ITS: A Feature Fusion approach

Demo: RhythmEdge: Enabling Contactless Heart Rate Estimation on the Edge

Attention Mechanism Based Intelligent Channel Feedback for mmWave
  Massive MIMO Systems

On the Limitations of Continual Learning for Malware Classification

Memory Efficient Temporal & Visual Graph Model for Unsupervised Video
  Domain Adaptation

ExpansionNet v2: Block Static Expansion in fast end to end training for
  Image Captioning

MaskBlock: Transferable Adversarial Examples with Bayes Approach

Defense against Backdoor Attacks via Identifying and Purifying Bad
  Neurons

SNGuess: A method for the selection of young extragalactic transients

Siamese neural networks for a generalized, quantitative comparison of
  complex model outputs

Dynamic Bayesian Learning and Calibration of Spatiotemporal Mechanistic
  Systems

Automated Utterance Labeling of Conversations Using Natural Language
  Processing

Continual Unsupervised Domain Adaptation for Semantic Segmentation using
  a Class-Specific Transfer

Orthogonal Gated Recurrent Unit with Neumann-Cayley Transformation

Hyperparameter Optimization of Generative Adversarial Network Models for
  High-Energy Physics Simulations

How good are recent density functionals for ground and excited states of
  one-electron systems?

Simulation of multi-shell fullerenes using Machine-Learning Gaussian
  Approximation Potential

Real-Time Accident Detection in Traffic Surveillance Using Deep Learning

LM-CORE: Language Models with Contextually Relevant External Knowledge

Quantum reinforcement learning in the presence of thermal dissipation

When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class
  Medical Image Semantic Segmentation

RLang: A Declarative Language for Expression Prior Knowledge for

Function Classes for Identifiable Nonlinear Independent Component
  Analysis

Computational and Data Requirements for Learning Generic Properties of
  Simulation-Based Games

AutoShard: Automated Embedding Table Sharding for Recommender Systems

Low Emission Building Control with Zero-Shot Reinforcement Learning

Topological data analysis for revealing structural origin of density
  anomalies in silica glass

BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers

On establishing learning separations between classical and quantum
  machine learning with classical data

USB: A Unified Semi-supervised Learning Benchmark for Classification

Voxels Intersecting along Orthogonal Levels Attention U-Net (viola-Unet)
  to Segment Intracerebral Haemorrhage Using Computed Tomography Head Scans

Robotic Inspection and Characterization of Subsurface Defects on
  Concrete Structures Using Impact Sounding

Solving Linear Systems on a GPU with Hierarchically Off-Diagonal
  Low-Rank Approximations

Semantic decomposition Network with Contrastive and Structural
  Constraints for Dental Plaque Segmentation

Sequential Causal Imitation Learning with Unobserved Confounders

RényiCL: Contrastive Representation Learning with Skew Rényi
  Divergence

Non-invasive improvement of machining by reversible electrochemical
  doping: a proof of principle with computational modeling

Simulation of Atlantic Hurricane Tracks and Features: A Deep Learning
  Approach

Unifying Gradients to Improve Real-world Robustness for Deep Networks

Sim2real for Autonomous Vehicle Control using Executable Digital Twin

Measuring incompatibility and clustering quantum observables with a
  quantum switch

Image Translation Based Nuclei Segmentation for Immunohistochemistry
  Images

Evaluating the performance of sigmoid quantum perceptrons in quantum

Category-Level Pose Retrieval with Contrastive Features Learnt with
  Occlusion Augmentation

Diffusion Policies as an Expressive Policy Class for Offline

Personalizing or Not: Dynamically Personalized Federated Learning with
  Incentives

Non-Autoregressive Sign Language Production via Knowledge Distillation

A Knowledge Distillation-Based Backdoor Attack in Federated Learning

Two-person Graph Convolutional Network for Skeleton-based Human
  Interaction Recognition

Defensive Distillation based Adversarial Attacks Mitigation Method for
  Channel Estimation using Deep Learning Models in Next-Generation Wireless
  Networks

Joint Optimization of Ranking and Calibration with Contextualized Hybrid
  Model

Unifying local and global model explanations by functional decomposition
  of low dimensional structures

Pre-training Tasks for User Intent Detection and Embedding Retrieval in
  E-commerce Search

GSim: A Graph Neural Network based Relevance Measure for Heterogeneous
  Graphs

Style Spectroscope: Improve Interpretability and Controllability through
  Fourier Analysis

Beyond potentials: integrated machine-learning models for materials

Scholastic: Graphical Human-Al Collaboration for Inductive and
  Interpretive Text Analysis

RuDi: Explaining Behavior Sequence Models by Automatic Statistics
  Generation and Rule Distillation

Analysis, Detection, and Classification of Android Malware using System
  Calls

An investigation on selecting audio pre-trained models for audio
  captioning

A Practical Second-order Latent Factor Model via Distributed Particle
  Swarm Optimization

Gradient Estimation for Binary Latent Variables via Gradient Variance
  Clipping

Instance Image Retrieval by Learning Purely From Within the Dataset

An Algorithm-Hardware Co-Optimized Framework for Accelerating N:M Sparse

MAIScope: A low-cost portable microscope with built-in vision AI to
  automate microscopic diagnosis of diseases in remote rural settings

Motion Sensitive Contrastive Learning for Self-supervised Video

Zeus: Understanding and Optimizing GPU Energy Consumption of DNN
  Training

Exploring High-quality Target Domain Information for Unsupervised Domain
  Adaptive Semantic Segmentation

TBI-GAN: An Adversarial Learning Approach for Data Synthesis on
  Traumatic Brain Segmentation

High-Throughput Condensed-Phase Hybrid Density Functional Theory for
  Large-Scale Finite-Gap Systems: The SeA Approach

Comparing Baseline Shapley and Integrated Gradients for Local
  Explanation: Some Additional Insights

A Fast Blockchain-based Federated Learning Framework with Compressed

Scalable and Sparsity-Aware Privacy-Preserving K-means Clustering with
  Application to Fraud Detection

Accurate Action Recommendation for Smart Home via Two-Level Encoders and
  Commonsense Knowledge

Class-attention Video Transformer for Engagement Intensity Prediction

Structural Biases for Improving Transformers on Translation into
  Morphologically Rich Languages

Towards Coupling Full-disk and Active Region-based Flare Prediction for
  Operational Space Weather Forecasting

An Accelerated Doubly Stochastic Gradient Method with Faster Explicit
  Model Identification

Adaptive Sampling of Latent Phenomena using Heterogeneous Robot Teams
  (ASLaP-HR)

MILAN: Masked Image Pretraining on Language Assisted Representation

A Twitter-Driven Deep Learning Mechanism for the Determination of
  Vehicle Hijacking Spots in Cities

Figure Descriptive Text Extraction using Ontological Representation

Region-Based Evidential Deep Learning to Quantify Uncertainty and
  Improve Robustness of Brain Tumor Segmentation

Shifted Windows Transformers for Medical Image Quality Assessment

BSAC: Bayesian Strategy Network Based Soft Actor-Critic in Deep

CORNET: A neurosymbolic approach to learning conditional table
  formatting rules by example

Handling big tabular data of ICT supply chains: a multi-task,
  machine-interpretable approach

New drugs and stock market: how to predict pharma market reaction to
  clinical trial announcements

Conformal Cyclic Cosmology Signatures and Anomalies of the CMB Sky

Cross Section Doppler Broadening prediction using Physically Informed

A Probabilistic Framework for Mutation Testing in Deep Neural Networks

Comparison of Forecasting Methods of House Electricity Consumption for
  Honda Smart Home

Anomaly segmentation model for defects detection in electroluminescence
  images of heterojunction solar cells

RelPose: Predicting Probabilistic Relative Rotation for Single Objects
  in the Wild

PointTree: Transformation-Robust Point Cloud Encoder with Relaxed K-D
  Trees

Robust Control Barrier Functions for Nonlinear Control Systems with
  Uncertainty: A Duality-based Approach

Partition Pooling for Convolutional Graph Network Applications in
  Particle Physics

Interactive Code Generation via Test-Driven User-Intent Formalization

Heatmap Regression for Lesion Detection using Pointwise Annotations

Near-Optimal Algorithms for Making the Gradient Small in Stochastic
  Minimax Optimization

Regularizing Deep Neural Networks with Stochastic Estimators of Hessian
  Trace

Incorporating Customer Reviews in Size and Fit Recommendation systems
  for Fashion E-Commerce

3, 2, 1, Drones Go! A Testbed to Take off UAV Swarm Intelligence for
  Distributed Sensing

Atomistic fracture in bcc iron revealed by active learning of Gaussian
  approximation potential

Federated Deep Reinforcement Learning for Resource Allocation in O-RAN
  Slicing

An Open-Source Cultural Consensus Approach to Name-Based Gender

No Pattern, No Recognition: a Survey about Reproducibility and
  Distortion Issues of Text Clustering and Topic Modeling

Optimal Rates for Regularized Conditional Mean Embedding Learning

Adapting Triplet Importance of Implicit Feedback for Personalized

Success of Uncertainty-Aware Deep Models Depends on Data Manifold
  Geometry

Recognizing and Extracting Cybersecurtity-relevant Entities from Text

A cloud platform for automating and sharing analysis of raw simulation
  data from high throughput polymer molecular dynamics simulations

Neural Basis Functions for Accelerating Solutions to High Mach Euler
  Equations

Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to
  Cooperative MARL

Diagnosis of Paratuberculosis in Histopathological Images Based on
  Explainable Artificial Intelligence and Deep Learning

Stochastic additive manufacturing simulation: from experiment to surface
  roughness and porosity prediction

Applications of Machine Learning to Predicting Core-collapse Supernova
  Explosion Outcomes

Stochastic Primal-Dual Three Operator Splitting with Arbitrary Sampling
  and Preconditioning

Single chip photonic deep neural network with accelerated training

An Image is Worth One Word: Personalizing Text-to-Image Generation using
  Textual Inversion

Enabling scalable clinical interpretation of ML-based phenotypes using
  real world data

Lossy compression of multidimensional medical images using sinusoidal
  activation networks: an evaluation study

Block sparsity and gauge mediated weight sharing for learning dynamical
  laws from data

Learning to Incorporate Texture Saliency Adaptive Attention to Image
  Cartoonization

Cluster Weighted Model Based on TSNE algorithm for High-Dimensional Data

Stochastic Deep Networks with Linear Competing Units for Model-Agnostic

Approximate Bayesian Neural Operators: Uncertainty Quantification for
  Parametric PDEs

The Curse of Low Task Diversity: On the Failure of Transfer Learning to
  Outperform MAML and Their Empirical Equivalence

CIPCaD-Bench: Continuous Industrial Process datasets for benchmarking
  Causal Discovery methods

MT-SNN: Spiking Neural Network that Enables Single-Tasking of Multiple
  Tasks

DSR -- A dual subspace re-projection network for surface anomaly
  detection

Reduced-order modeling for parameterized large-eddy simulations of
  atmospheric pollutant dispersion

s-LIME: Reconciling Locality and Fidelity in Linear Explanations

MEMO: Coverage-guided Model Generation For Deep Learning Library Testing

Using Software Product Lines to Create Blockchain Products: Application
  to Supply Chain Traceability

Deconstructing Self-Supervised Monocular Reconstruction: The Design
  Decisions that Matter

IterMiUnet: A lightweight architecture for automatic blood vessel

A Recursive Partitioning Approach for Dynamic Discrete Choice Modeling
  in High Dimensional Settings

AI-driven Hypernetwork of Organic Chemistry: Network Statistics and
  Applications in Reaction Classification

Unravelling Interlanguage Facts via Explainable Machine Learning

Materials Swelling Revealed Through Automated Semantic Segmentation of
  Cavities in Electron Microscopy Images

On the role of benchmarking data sets and simulations in method
  comparison studies

AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq
  Model

Viskositas: Viscosity Prediction of Multicomponent Chemical Systems

A New Probabilistic V-Net Model with Hierarchical Spatial Feature
  Transform for Efficient Abdominal Multi-Organ Segmentation

GaitGL: Learning Discriminative Global-Local Feature Representations for
  Gait Recognition

Semantic Data Augmentation based Distance Metric Learning for Domain

Detecting Individual Decision-Making Style: Exploring Behavioral
  Stylometry in Chess

Concentration inequalities for correlated network-valued processes with
  applications to community estimation and changepoint analysis

SCFI: State Machine Control-Flow Hardening Against Fault Attacks

A Comparative Study on COVID-19 Fake News Detection Using Different
  Transformer Based Models

BPMN4sML: A BPMN Extension for Serverless Machine Learning. Technology
  Independent and Interoperable Modeling of Machine Learning Workflows and
  their Serverless Deployment Orchestration

A Screening Strategy for Structured Optimization Involving Nonconvex
  $\ell_{q,p}$ Regularization

Self-Supervised Traversability Prediction by Learning to Reconstruct
  Safe Terrain

Pan-chromatic photometric classification of supernovae from multiple
  surveys and transfer learning for future surveys

CTooth+: A Large-scale Dental Cone Beam Computed Tomography Dataset and
  Benchmark for Tooth Volume Segmentation

Compound Density Networks for Risk Prediction using Electronic Health
  Records

Joint Learning-based Causal Relation Extraction from Biomedical
  Literature

Transfer learning for affordable and high quality tunneling splittings
  from instanton calculations

BEIKE NLP at SemEval-2022 Task 4: Prompt-Based Paragraph Classification
  for Patronizing and Condescending Language Detection

Humble Machines: Attending to the Underappreciated Costs of Misplaced
  Distrust

Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge
  for Human Motion Prediction

To Answer or Not to Answer? Improving Machine Reading Comprehension
  Model with Span-based Contrastive Learning

Understanding the classes better with class-specific and rule-specific
  feature selection, and redundancy control in a fuzzy rule based framework

Control theoretically explainable application of autoencoder methods to
  fault detection in nonlinear dynamic systems

Evaluating Inter-Operator Cooperation Scenarios to Save Radio Access
  Network Energy

In-Hand Pose Estimation and Pin Inspection for Insertion of Through-Hole
  Components

Towards V2I Age-aware Fairness Access: A DQN Based Intelligent Vehicular
  Node Training and Test Method

Automatic Classification of Bug Reports Based on Multiple Text
  Information and Reports' Intention

Explicit Use of Fourier Spectrum in Generative Adversarial Networks

Chemotaxis of sea urchin sperm cells through deep reinforcement learning

A Novel Transformer Network with Shifted Window Cross-Attention for
  Spatiotemporal Weather Forecasting

Asynchronous Federated Learning Based Mobility-aware Caching in
  Vehicular Edge Computing

Terahertz-Band Integrated Sensing and Communications: Challenges and

DashBot: Insight-Driven Dashboard Generation Based on Deep Reinforcement
  Learning

A Multifaceted Benchmarking of Synthetic Electronic Health Record

Generative Adversarial Learning for Intelligent Trust Management in 6G

Streaming-capable High-performance Architecture of Learned Image
  Compression Codecs

GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for
  Robust Electrocardiogram Prediction

Mobility-Aware Cooperative Caching in Vehicular Edge Computing Based on
  Asynchronous Federated and Deep Reinforcement Learning

Audio Deepfake Detection Based on a Combination of F0 Information and
  Real Plus Imaginary Spectrogram Features

Gesture-aware Interactive Machine Teaching with In-situ Object

Fast Kernel Density Estimation with Density Matrices and Random Fourier
  Features

Making a Spiking Net Work: Robust brain-like unsupervised machine
  learning

Analog Gated Recurrent Neural Network for Detecting Chewing Events

Towards Efficient Communications in Federated Learning: A Contemporary
  Survey

Late Fusion Multi-view Clustering via Global and Local Alignment

Making the Best of Both Worlds: A Domain-Oriented Transformer for

Mitigating Biases in Student Performance Prediction via Attention-Based

MV6D: Multi-View 6D Pose Estimation on RGB-D Frames Using a Deep
  Point-wise Voting Network

A Modified PINN Approach for Identifiable Compartmental Models in
  Epidemiology with Applications to COVID-19

Ithaca365: Dataset and Driving Perception under Repeated and Challenging
  Weather Conditions

Pose Uncertainty Aware Movement Synchrony Estimation via
  Spatial-Temporal Graph Transformer

Hierarchical Reinforcement Learning for Precise Soccer Shooting Skills
  using a Quadrupedal Robot

A Feasibility Study on Image Inpainting for Non-cleft Lip Generation
  from Patients with Cleft Lip

Short-term Load Forecasting with Distributed Long Short-Term Memory

Improving the Trainability of Deep Neural Networks through Layerwise
  Batch-Entropy Regularization

Disparate Censorship & Undertesting: A Source of Label Bias in Clinical

Computing coherent light scattering on the millimetre scale using a
  recurrent neural network without training

On the Evaluation of User Privacy in Deep Neural Networks using Timing
  Side Channel

VacciNet: Towards a Smart Framework for Learning the Distribution Chain
  Optimization of Vaccines for a Pandemic

Toward deep-learning-assisted spectrally-resolved imaging of magnetic
  noise

Safe and Efficient Exploration of Human Models During Human-Robot
  Interaction

Dyadic Movement Synchrony Estimation Under Privacy-preserving Conditions

Efficient Personalized Learning for Wearable Health Applications using
  HyperDimensional Computing

Robotic Interestingness via Human-Informed Few-Shot Object Detection

A knee cannot have lung disease: out-of-distribution detection with
  in-distribution voting using the medical example of chest X-ray

What Can Transformers Learn In-Context? A Case Study of Simple Function
  Classes

On the Limitations of Sociodemographic Adaptation with Transformers

Learning Multi-Object Symbols for Manipulation with Attentive Deep
  Effect Predictors

Predicting Future Mosquito Larval Habitats Using Time Series Climate
  Forecasting and Deep Learning

MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task
  Learning

Automatically Discovering Novel Visual Categories with Self-supervised
  Prototype Learning

Information Gain Sampling for Active Learning in Medical Image

A penalized two-pass regression to predict stock returns with
  time-varying risk premia

Probabilistic forecasts of extreme heatwaves using convolutional neural
  networks in a regime of lack of data

Counterfactual Intervention Feature Transfer for Visible-Infrared Person

Large-Scale Product Retrieval with Weakly Supervised Representation
  Learning

VolTeMorph: Realtime, Controllable and Generalisable Animation of
  Volumetric Representations

Motion-aware Memory Network for Fast Video Salient Object Detection

Amino Acid Classification in 2D NMR Spectra via Acoustic Signal

Choose, not Hoard: Information-to-Model Matching for Artificial
  Intelligence in O-RAN

Graphical Representations for Algebraic Constraints of Linear Structural
  Equations Models

Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose
  Regression and Odometry-aided Absolute Pose Regression

Understanding Adversarial Robustness of Vision Transformers via Cauchy
  Problem

Retrieval of surgical phase transitions using reinforcement learning

Joint covariate-alignment and concept-alignment: a framework for domain

Towards Computing an Optimal Abstraction for Structural Causal Models

Computer vision-based analysis of buildings and built environments: A
  systematic review of current approaches

Physics-informed Machine Learning of Parameterized Fundamental Diagrams

S$^2$Contact: Graph-based Network for 3D Hand-Object Contact Estimation
  with Semi-Supervised Learning

Towards R-learner of conditional average treatment effects with a
  continuous treatment: T-identification, estimation, and inference

Learning from flowsheets: A generative transformer model for
  autocompletion of flowsheets

ATCA: an Arc Trajectory Based Model with Curvature Attention for Video
  Frame Interpolation

DeFL: Decentralized Weight Aggregation for Cross-silo Federated Learning

MAFW: A Large-scale, Multi-modal, Compound Affective Database for
  Dynamic Facial Expression Recognition in the Wild

ASTA: Learning Analytical Semantics over Tables for Intelligent Data
  Analysis and Visualization

Relay Hindsight Experience Replay: Self-Guided Continual Reinforcement
  Learning for Sequential Object Manipulation Tasks with Sparse Rewards

Unsupervised machine learning framework for discriminating major
  variants of concern during COVID-19

Learning to Grasp on the Moon from 3D Octree Observations with Deep

Gradient-descent quantum process tomography by learning Kraus operators

A Maintenance Planning Framework using Online and Offline Deep

Efficient atomistic simulations of radiation damage in W and W-Mo using
  machine-learning potentials

GANDSE: Generative Adversarial Network based Design Space Exploration
  for Neural Network Accelerator Design

Partial Connection Based on Channel Attention for Differentiable Neural

Off-Policy Correction for Actor-Critic Methods without Importance
  Sampling

Performance Comparison of Deep RL Algorithms for Energy Systems Optimal

Graph Neural Network with Local Frame for Molecular Potential Energy
  Surface

TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical

Iterative shaping of optical potentials for one-dimensional
  Bose-Einstein condensates

Berezinskii-Kosterlitz-Thouless transition from Neural Network Flows

Model-based graph reinforcement learning for inductive traffic signal
  control

De-biased Representation Learning for Fairness with Unreliable Labels

Replacing Backpropagation with Biological Plausible Top-down Credit
  Assignment in Deep Neural Networks Training

An Evidential Neural Network Model for Regression Based on Random Fuzzy
  Numbers

DictBERT: Dictionary Description Knowledge Enhanced Language Model
  Pre-training via Contrastive Learning

Multi-spectral Vehicle Re-identification with Cross-directional
  Consistency Network and a High-quality Benchmark

XOOD: Extreme Value Based Out-Of-Distribution Detection For Image

RISeer: Inspecting the Status and Dynamics of Regional Industrial
  Structure via Visual Analytics

HBMax: Optimizing Memory Efficiency for Parallel Influence Maximization
  on Multicore Architectures

Newly discovered $z\sim5$ quasars based on deep learning and Bayesian
  information criterion

A Deep Generative Model for Feasible and Diverse Population Synthesis

Beyond kNN: Adaptive, Sparse Neighborhood Graphs via Optimal Transport

A System for Imitation Learning of Contact-Rich Bimanual Manipulation
  Policies

Voice Analysis for Stress Detection and Application in Virtual Reality
  to Improve Public Speaking in Real-time: A Review

Breast Cancer Classification Based on Histopathological Images Using a
  Deep Learning Capsule Network

Long Short-Term Preference Modeling for Continuous-Time Sequential

An Enhanced Deep Learning Technique for Prostate Cancer Identification
  Based on MRI Scans

Momentum Transformer: Closing the Performance Gap Between Self-attention
  and Its Linearization

The quasar luminosity function at $z\sim5$ via deep learning and
  Bayesian information criterion

CircuitNet: An Open-Source Dataset for Machine Learning Applications in
  Electronic Design Automation (EDA)

Backdoor Watermarking Deep Learning Classification Models With Deep
  Fidelity

Unifying Approaches in Active Learning and Active Sampling via Fisher
  Information and Information-Theoretic Quantities

Analysis of Semi-Supervised Methods for Facial Expression Recognition

DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and
  Noise Removal

Is current research on adversarial robustness addressing the right
  problem?

CloudAttention: Efficient Multi-Scale Attention Scheme For 3D Point
  Cloud Learning

Online Decentralized Frank-Wolfe: From theoretical bound to applications
  in smart-building

Learning an Interpretable Model for Driver Behavior Prediction with
  Inductive Biases

Sampling, Communication, and Prediction Co-Design for Synchronizing the
  Real-World Device and Digital Model in Metaverse

Formal guarantees for heuristic optimization algorithms used in machine
  learning

DNNShield: Dynamic Randomized Model Sparsification, A Defense Against
  Adversarial Machine Learning

A Hetero-functional Graph Structural Analysis of the American
  Multi-modal Energy System

Editorial: Special Issue on Collaborative Aspects of Open Data in
  Software EngineeringJohan

Adaptive Edge Offloading for Image Classification Under Rate Limit

Building an Efficiency Pipeline: Commutativity and Cumulativeness of
  Efficiency Operators for Transformers

Robot Policy Learning from Demonstration Using Advantage Weighting and
  Early Termination

Augmenting Vision Language Pretraining by Learning Codebook with Visual
  Semantics

Feather-Light Fourier Domain Adaptation in Magnetic Resonance Imaging

Vector-Based Data Improves Left-Right Eye-Tracking Classifier
  Performance After a Covariate Distributional Shift

Learning while Acquisition: Towards Active Learning Framework for
  Beamforming in Ultrasound Imaging

Adaptive Temperature Scaling for Robust Calibration of Deep Neural
  Networks

INSightR-Net: Interpretable Neural Network for Regression using
  Similarity-based Comparisons to Prototypical Examples

One-Shot Medical Landmark Localization by Edge-Guided Transform and
  Noisy Landmark Refinement

Photon-Limited Blind Deconvolution using Unsupervised Iterative Kernel

Out-of-Distribution Detection with Semantic Mismatch under Masking

BYOLMed3D: Self-Supervised Representation Learning of Medical Videos
  using Gradient Accumulation Assisted 3D BYOL Framework

Toward Understanding WordArt: Corner-Guided Transformer for Scene Text

The Who in Code-Switching: A Case Study for Predicting Egyptian
  Arabic-English Code-Switching Levels based on Character Profiles

Robust Real-World Image Super-Resolution against Adversarial Attacks

Active Learning of One-Clock Timed Automata using Constraint Solving

Eco2AI: carbon emissions tracking of machine learning models as the
  first step towards sustainable AI

Intelligent decision-making method of TBM operating parameters based on
  multiple constraints and objective optimization

Speckle2Speckle: Unsupervised Learning of Ultrasound Speckle Filtering
  Without Clean Data

FixMatchSeg: Fixing FixMatch for Semi-Supervised Semantic Segmentation

Ultra-low Latency Adaptive Local Binary Spiking Neural Network with
  Accuracy Loss Estimator

AI in Telemedicine: An Appraisal on Deep Learning-Based Approaches to
  Virtual Diagnostic Solutions (VDS)

Cross-Modal Alignment Learning of Vision-Language Conceptual Systems

An Experimental Study on Learning Correlated Equilibrium in Routing
  Games

DRL-M4MR: An Intelligent Multicast Routing Approach Based on DQN Deep
  Reinforcement Learning in SDN

Less is More: Consistent Video Depth Estimation with Masked Frames
  Modeling

Neuro-Symbolic Learning: Principles and Applications in Ophthalmology

Interpreting and predicting the economy flows: A time-varying parameter
  global vector autoregressive integrated the machine learning model

Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction

One for All: One-stage Referring Expression Comprehension with Dynamic
  Reasoning

Age of View: A New Metric for Evaluating Heterogeneous Information
  Fusion in Vehicular Cyber-Physical Systems

What Do Deep Neural Networks Find in Disordered Structures of Glasses?

Improving Distantly Supervised Relation Extraction by Natural Language
  Inference

Towards Intercultural Affect Recognition: Audio-Visual Affect
  Recognition in the Wild Across Six Cultures

GraphMFT: A Graph Network based Multimodal Fusion Technique for Emotion
  Recognition in Conversation

Symmetry Regularization and Saturating Nonlinearity for Robust

Tai-e: A Static Analysis Framework for Java by Harnessing the Best
  Designs of Classics

Functional Rule Extraction Method for Artificial Neural Networks

CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for
  Energy-Efficient Low-precision Deep Convolutional Neural Networks

Convex duality for stochastic shortest path problems in known and
  unknown environments

enpheeph: A Fault Injection Framework for Spiking and Compressed Deep

A Multi-View Learning Approach to Enhance Automatic 12-Lead ECG
  Diagnosis Performance

PrePARE: Predictive Proprioception for Agile Failure Event Detection in
  Robotic Exploration of Extreme Terrains

Untargeted Region of Interest Selection for GC-MS Data using a Pseudo
  F-Ratio Moving Window ($ψ$FRMV)

Delving into Effective Gradient Matching for Dataset Condensation

Doubly Deformable Aggregation of Covariance Matrices for Few-shot

Automated Detection of Acute Lymphoblastic Leukemia Subtypes from
  Microscopic Blood Smear Images using Deep Neural Networks

Efficient Compilation and Mapping of Fixed Function Combinational Logic
  onto Digital Signal Processors Targeting Neural Network Inference and
  Utilizing High-level Synthesis

ANOVA-based Automatic Attribute Selection and a Predictive Model for
  Heart Disease Prognosis

Global Attention-based Encoder-Decoder LSTM Model for Temperature
  Prediction of Permanent Magnet Synchronous Motors

A Gradient Smoothed Functional Algorithm with Truncated Cauchy Random
  Perturbations for Stochastic Optimization

Simplex Clustering via sBeta with Applications to Online Adjustment of
  Black-Box Predictions

MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient
  Neural Field Rendering on Mobile Architectures

Revisiting the Critical Factors of Augmentation-Invariant Representation
  Learning

Automatically Categorising GitHub Repositories by Application Domain

Unified Automatic Control of Vehicular Systems with Reinforcement
  Learning

Machine and quantum learning for diamond-based quantum applications

A Bayesian Approach to Learning Bandit Structure in Markov Decision
  Processes

Geometric deep learning for computational mechanics Part II: Graph
  embedding for interpretable multiscale plasticity

Improving Fine-tuning of Self-supervised Models with Contrastive

'PeriHack': Designing a Serious Game for Cybersecurity Awareness

Learning Pseudo Front Depth for 2D Forward-Looking Sonar-based
  Multi-view Stereo

A Comparative Study of Application-level Caching Recommendations at the
  Method Level

Masked Autoencoders As The Unified Learners For Pre-Trained Sentence

Predicting electronic stopping powers using stacking ensemble machine
  learning method

PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds

HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means
  of Exploratory Landscape Analysis

Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation
  Exploitation

DRSOM: A Dimension Reduced Second-Order Method and Preliminary Analyses

LRIP-Net: Low-Resolution Image Prior based Network for Limited-Angle CT

Developing Deep Learning Algorithms for Inferring Upstream Separatrix
  Density at JET

Tackling Neural Architecture Search With Quality Diversity Optimization

Solving the vehicle routing problem with deep reinforcement learning

Streaming Algorithms for Diversity Maximization with Fairness

Few-shot Single-view 3D Reconstruction with Memory Prior Contrastive
  Network

A Survey on Masked Autoencoder for Self-supervised Learning in Vision
  and Beyond

Virtual Reality Simulator for Fetoscopic Spina Bifida Repair Surgery

Temporal extrapolation of heart wall segmentation in cardiac magnetic
  resonance images via pixel tracking

Distilled Low Rank Neural Radiance Field with Quantization for Light
  Field Compression

Resolution enhancement of placenta histological images using deep
  learning

Learning Feature Decomposition for Domain Adaptive Monocular Depth

Reinforcement learning with experience replay and adaptation of action
  dispersion

Local Graph Embeddings Based on Neighbors Degree Frequency of Nodes

Few-Shot Class-Incremental Learning from an Open-Set Perspective

Learning robot inverse dynamics using sparse online Gaussian process
  with forgetting mechanism

Estimating Cosmological Constraints from Galaxy Cluster Abundance using

Research on Stable Obstacle Avoidance Control Strategy for Tracked
  Intelligent Transportation Vehicles in Non-structural Environment Based on

Outcome Adaptive Propensity Score Methods for Handling Censoring and
  High-Dimensionality: Application to Insurance Claims

Weakly Supervised Deep Instance Nuclei Detection using Points Annotation
  in 3D Cardiovascular Immunofluorescent Images

Robust Rayleigh Regression Method for SAR Image Processing in Presence

Explicit Occlusion Reasoning for Multi-person 3D Human Pose Estimation

Machine Learning and Computer Vision Techniques in Bee Monitoring

Sampling Attacks on Meta Reinforcement Learning: A Minimax Formulation
  and Complexity Analysis

Face-to-Face Contrastive Learning for Social Intelligence
  Question-Answering

Topology-Driven Generative Completion of Lacunae in Molecular Data

Generating Complex 4D Expression Transitions by Learning Face Landmark

MulViMotion: Shape-aware 3D Myocardial Motion Tracking from Multi-View
  Cardiac MRI

Personalised recommendations of sleep behaviour with neural networks
  using sleep diaries captured in Sleepio

A review of Deep learning Techniques for COVID-19 identification on
  Chest CT images

Paddy Leaf diseases identification on Infrared Images based on

GLEAN: Generative Latent Bank for Image Super-Resolution and Beyond

StyleLight: HDR Panorama Generation for Lighting Estimation and Editing

PageNet: Towards End-to-End Weakly Supervised Page-Level Handwritten
  Chinese Text Recognition

Artifact Identification in X-ray Diffraction Data using Machine Learning
  Methods

Recognition of Handwritten Chinese Text by Segmentation: A
  Segment-annotation-free Approach

Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning
  in Online Reinforcement Learning

Bragg glass signatures in Pd$_x$ErTe$_3$ with X-ray diffraction
  Temperature Clustering (X-TEC)

Minimal Neural Atlas: Parameterizing Complex Surfaces with Minimal
  Charts and Distortion

Using Multi-modal Data for Improving Generalizability and Explainability
  of Disease Classification in Radiology

Open-radiomics: A Research Protocol to Make Radiomics-based Machine
  Learning Pipelines Reproducible

Combining Evolutionary Search with Behaviour Cloning for Procedurally
  Generated Content

Image Quality Assessment: Integrating Model-Centric and Data-Centric

Deep Reinforcement Learning for End-to-End Network Slicing: Challenges
  and Solutions

Reconstructing Sparse Illicit Supply Networks: A Case Study of Multiplex
  Drug Trafficking Networks

SimCURL: Simple Contrastive User Representation Learning from Command
  Sequences

ALADIN: Distilling Fine-grained Alignment Scores for Efficient
  Image-Text Matching and Retrieval

Asymptotic Consistency for Nonconvex Risk-Averse Stochastic Optimization
  with Infinite Dimensional Decision Spaces

Rating the Crisis of Online Public Opinion Using a Multi-Level Index
  System

Modelling multivariate extreme value distributions via Markov trees

Meta Reinforcement Learning with Successor Feature Based Context

Automatic Reward Design via Learning Motivation-Consistent Intrinsic
  Rewards

Bayesian nonparametric mixture inconsistency for the number of
  components: How worried should we be in practice?

Design Methodology for Deep Out-of-Distribution Detectors in Real-Time
  Cyber-Physical Systems

Leveraging data from nearby stations to improve short-term wind speed
  forecasts

AlphaVC: High-Performance and Efficient Learned Video Compression

Big Data and Analytics Implementation in Tertiary Institutions to
  Predict Students Performance in Nigeria

Global-Local Self-Distillation for Visual Representation Learning

Going Off-Grid: Continuous Implicit Neural Representations for 3D
  Vascular Modeling

Multimodal SuperCon: Classifier for Drivers of Deforestation in
  Indonesia

Ensemble forecasts in reproducing kernel Hilbert space family: dynamical
  systems in Wonderland

SYNTA: A novel approach for deep learning-based image analysis in muscle
  histopathology using photo-realistic synthetic data

Phase Code Discovery for Pulse Compression Radar: A Genetic Algorithm
  Approach

Towards Communication-efficient Vertical Federated Learning Training via
  Cache-enabled Local Updates

Restoring Vision in Adverse Weather Conditions with Patch-Based
  Denoising Diffusion Models

Content-Aware Differential Privacy with Conditional Invertible Neural
  Networks

Innate Dynamics and Identity Crisis of a Metal Surface Unveiled by
  Machine Learning of Atomic Environments

KG-NSF: Knowledge Graph Completion with a Negative-Sample-Free Approach

Archaeology of random recursive dags and Cooper-Frieze random networks

Multi-Agent Reinforcement Learning for Long-Term Network Resource
  Allocation through Auction: a V2X Application

Deep Reinforcement Learning for System-on-Chip: Myths and Realities

Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering

Decentralized Machine Learning for Intelligent Health Care Systems on
  the Computing Continuum

Learning Phone Recognition from Unpaired Audio and Phone Sequences Based
  on Generative Adversarial Network

Cyclic Policy Distillation: Sample-Efficient Sim-to-Real Reinforcement
  Learning with Domain Randomization

Reweighted Manifold Learning of Collective Variables from Enhanced
  Sampling Simulations

ScaleFormer: Revisiting the Transformer-based Backbones from a
  Scale-wise Perspective for Medical Image Segmentation

A One-Shot Reparameterization Method for Reducing the Loss of Tile
  Pruning on DNNs

Effectiveness of Transformer Models on IoT Security Detection in
  StackOverflow Discussions

Contrastive Pre-training of Spatial-Temporal Trajectory Embeddings

Leveraging Explanations in Interactive Machine Learning: An Overview

Curriculum Learning for Data-Efficient Vision-Language Alignment

Rapid localization of gravitational wave sources from compact binary
  coalescences using deep learning

Transfer Learning for Segmentation Problems: Choose the Right Encoder
  and Skip the Decoder

GPU-accelerated SIFT-aided source identification of stabilized videos

A Transfer Learning-Based Approach to Marine Vessel Re-Identification

Class-Difficulty Based Methods for Long-Tailed Visual Recognition

Reference-Guided Texture and Structure Inference for Image Inpainting

Conservative Generator, Progressive Discriminator: Coordination of
  Adversaries in Few-shot Incremental Image Synthesis

Deep learning-based fast time-resolved flame emission spectroscopy in
  high-pressure combustion environment

FCSN: Global Context Aware Segmentation by Learning the Fourier
  Coefficients of Objects in Medical Images

Centrality and Consistency: Two-Stage Clean Samples Identification for
  Learning with Instance-Dependent Noisy Labels

Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image

Significant changes in EEG neural oscillations during different phases
  of three-dimensional multiple object tracking task (3D-MOT) imply different
  roles for attention and working memory

Deep Learning Based Successive Interference Cancellation for the
  Non-Orthogonal Downlink

GTrans: Grouping and Fusing Transformer Layers for Neural Machine

RCA: Ride Comfort-Aware Visual Navigation via Self-Supervised Learning

PC-GANs: Progressive Compensation Generative Adversarial Networks for
  Pan-sharpening

Testing Relational Understanding in Text-Guided Image Generation

Bibliometric Patterns and Concept Evolution Trajectories in research
  publications in Future Generation Computer Systems

Treatment Effect Estimation with Unobserved and Heterogeneous
  Confounding Variables

Lower bounds for learning quantum states with single-copy measurements

Paired Cross-Modal Data Augmentation for Fine-Grained Image-to-Text
  Retrieval

Neural-Guided RuntimePrediction of Planners for Improved Motion and Task
  Planning with Graph Neural Networks

Sample-efficient Safe Learning for Online Nonlinear Control with Control
  Barrier Functions

Building spatial symmetries into parameterized quantum circuits for
  faster training

Deep learning for understanding multilabel imbalanced Chest X-ray
  datasets

Distributed Stochastic Bandit Learning with Delayed Context Observation

Model Reduction for Nonlinear Systems by Balanced Truncation of State
  and Gradient Covariance

Expanding the class of global objective functions for
  dissimilarity-based hierarchical clustering

A Recommender System for Equitable Public Art Curation and Installation

Semi-supervised Learning of Partial Differential Operators and Dynamical
  Flows

Analysis of the Spatio-temporal Dynamics of COVID-19 in Massachusetts
  via Spectral Graph Wavelet Theory

Predicting Global Head-Related Transfer Functions From Scanned Head
  Geometry Using Deep Learning and Compact Representations

Bridging the Gap between Deep Learning and Hypothesis-Driven Analysis
  via Permutation Testing

Training a universal instance segmentation network for live cell images
  of various cell types and imaging modalities

Supplementing Recurrent Neural Network Wave Functions with Symmetry and
  Annealing to Improve Accuracy

SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection
  and Segmentation

Depth Field Networks for Generalizable Multi-view Scene Representation

CuDi: Curve Distillation for Efficient and Controllable Exposure
  Adjustment

Cryptographic Hardness of Learning Halfspaces with Massart Noise

Gradient estimates for the Schrödinger potentials: convergence to the
  Brenier map and quantitative stability

Exploiting and Defending Against the Approximate Linearity of Apple's
  NeuralHash

Improving the Performance of Robust Control through Event-Triggered
  Learning

Combining human parsing with analytical feature extraction and ranking
  schemes for high-generalization person reidentification

Correlating Visual Characteristics and Cryogenic Performance of
  Superconducting Detectors

Re-thinking and Re-labeling LIDC-IDRI for Robust Pulmonary Cancer

Unlocking device-scale atomistic modelling of phase-change memory
  materials

Electricity Price Forecasting Model based on Gated Recurrent Units

A general framework for multi-step ahead adaptive conformal
  heteroscedastic time series forecasting

Gender In Gender Out: A Closer Look at User Attributes in Context-Aware

Regret Minimization and Convergence to Equilibria in General-sum Markov
  Games

Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric
  Framework for Exemplar-free Class-Incremental Learning

Mining Cross-Person Cues for Body-Part Interactiveness Learning in HOI
  Detection

Learning with Limited Annotations: A Survey on Deep Semi-Supervised

Optimization of Artificial Neural Networks models applied to the
  identification of images of asteroids' resonant arguments

Bayesian Optimization-Based Beam Alignment for MmWave MIMO Communication
  Systems

RHA-Net: An Encoder-Decoder Network with Residual Blocks and Hybrid
  Attention Mechanisms for Pavement Crack Segmentation

Evaluation of a Gaussian Mixture Model-based Channel Estimator using
  Measurement Data

A Probabilistic Framework for Estimating the Risk of Pedestrian-Vehicle
  Conflicts at Intersections

Playing a 2D Game Indefinitely using NEAT and Reinforcement Learning

Towards Robust Ad Hoc Teamwork Agents By Creating Diverse Training
  Teammates

A Transformer-based Generative Adversarial Network for Brain Tumor

PencilNet: Zero-Shot Sim-to-Real Transfer Learning for Robust Gate
  Perception in Autonomous Drone Racing

FedVARP: Tackling the Variance Due to Partial Client Participation in

Claim-Dissector: An Interpretable Fact-Checking System with Joint
  Re-ranking and Veracity Prediction

Classification of FIB/SEM-tomography images for highly porous multiphase
  materials using random forest classifiers

Weakly-Supervised Camouflaged Object Detection with Scribble Annotations

Topological Analysis of Ensembles of Hydrodynamic Turbulent Flows -- An
  Experimental Study

PEA: Improving the Performance of ReLU Networks for Free by Using
  Progressive Ensemble Activations

Neural Strands: Learning Hair Geometry and Appearance from Multi-View
  Images

Hardness of Agnostically Learning Halfspaces from Worst-Case Lattice
  Problems

Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion

Automated Classification of Nanoparticles with Various Ultrastructures
  and Sizes

Learning Personalized Representations using Graph Convolutional Network

Online Inference for Mixture Model of Streaming Graph Signals with
  Non-White Excitation

Marvel DC: A Blockchain-Based Decentralized and Incentive-Compatible
  Distributed Computing Protocol

Raising Student Completion Rates with Adaptive Curriculum and Contextual
  Bandits

Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study
  on Out-of-Distribution Generalisation

Gotham Testbed: a Reproducible IoT Testbed for Security Experiments and
  Dataset Generation

Knowing Where and What: Unified Word Block Pretraining for Document

Federated Learning for IoUT: Concepts, Applications, Challenges and

On the Effects of Different Types of Label Noise in Multi-Label Remote
  Sensing Image Classification

A Hybrid CNN-LSTM model for Video Deepfake Detection by Leveraging
  Optical Flow Features

Verification system based on long-range iris and Graph Siamese Neural
  Networks

PHEMEPlus: Enriching Social Media Rumour Verification with External
  Evidence

Meta-Learning based Degradation Representation for Blind

Learning Based High-Level Decision Making for Abortable Overtaking in

Subtype-Former: a deep learning approach for cancer subtype discovery
  with multi-omics data

HelixFold-Single: MSA-free Protein Structure Prediction by Using Protein
  Language Model as an Alternative

A Novel Data Augmentation Technique for Out-of-Distribution Sample
  Detection using Compounded Corruptions

A health telemonitoring platform based on data integration from
  different sources

Exploiting Negative Preference in Content-based Music Recommendation
  with Contrastive Learning

ReFRS: Resource-efficient Federated Recommender System for Dynamic and
  Diversified User Preferences

HOB-CNN: Hallucination of Occluded Branches with a Convolutional Neural
  Network for 2D Fruit Trees

Quantifying Safety of Learning-based Self-Driving Control Using
  Almost-Barrier Functions

Adaptive Second Order Coresets for Data-efficient Machine Learning

Towards overcoming data scarcity in materials science: unifying models
  and datasets with a mixture of experts framework

Real Image Restoration via Structure-preserving Complementarity
  Attention

A Repulsive Force Unit for Garment Collision Handling in Neural Networks

Extraction of Vascular Wall in Carotid Ultrasound via a Novel
  Boundary-Delineation Network

Diversity Boosted Learning for Domain Generalization with Large Number
  of Domains

Analysis of Phonetic Soliton Propagation in Neutral Weyl Fermion-sea

Learning to Adapt Classifier for Imbalanced Semi-supervised Learning

One-Pass Learning via Bridging Orthogonal Gradient Descent and Recursive
  Least-Squares

Subgraph Neighboring Relations Infomax for Inductive Link Prediction on
  Knowledge Graphs

Predicting the Output Structure of Sparse Matrix Multiplication with
  Sampled Compression Ratio

Deep Learning-Based Acoustic Mosquito Detection in Noisy Conditions
  Using Trainable Kernels and Augmentations

Dive into Machine Learning Algorithms for Influenza Virus Host
  Prediction with Hemagglutinin Sequences

A Hybrid Complex-valued Neural Network Framework with Applications to
  Electroencephalogram (EEG)

A Criterion for the Stability of Planets in Chains of Resonances

Decentralized Computation Offloading With Cooperative UAVs: Multi-Agent
  Deep Reinforcement Learning Perspective

Multi-Objective Provisioning of Network Slices using Deep Reinforcement
  Learning

Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery
  with Transformers

Structural Similarity for Improved Transfer in Reinforcement Learning

Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields

Towards Sleep Scoring Generalization Through Self-Supervised

Learning to Assess Danger from Movies for Cooperative Escape Planning in
  Hazardous Environments

Image sensing with multilayer, nonlinear optical neural networks

AvatarPoser: Articulated Full-Body Pose Tracking from Sparse Motion
  Sensing

Physical Pooling Functions in Graph Neural Networks for Molecular

Label-Only Membership Inference Attack against Node-Level Graph Neural
  Networks

Deep Learning for Classification of Thyroid Nodules on Ultrasound:
  Validation on an Independent Dataset

Arbitrage Equilibrium, Invariance, and the Emergence of Spontaneous
  Order in the Dynamics of Birds Flocking

Break and Make: Interactive Structural Understanding Using LEGO Bricks

A New Emulated Monte Carlo Radiative Transfer Disk-Wind Model: X-Ray
  Accretion Disk-wind Emulator -- XRADE

Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous
  Control

ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and
  Pose Optimization

Quantifying the Cost of Privately Storing Data in Distributed Storage
  Systems

Multi-layer Representation Learning for Robust OOD Image Classification

Open Source Vizier: Distributed Infrastructure and API for Reliable and
  Flexible Blackbox Optimization

Fast expansion into harmonics on the disk: a steerable basis with fast
  radial convolutions

Meta-Interpolation: Time-Arbitrary Frame Interpolation via Dual

SAC-AP: Soft Actor Critic based Deep Reinforcement Learning for Alert
  Prioritization

Chemical Abundances for 25 JWST Exoplanet Host Stars with KeckSpec

On the robustness of self-supervised representations for multi-view
  object classification

Conformal Prediction Bands for Two-Dimensional Functional Time Series

Explain My Surprise: Learning Efficient Long-Term Memory by Predicting
  Uncertain Outcomes

Continuous User Authentication Using Machine Learning and Multi-Finger
  Mobile Touch Dynamics with a Novel Dataset

NAUTS: Negotiation for Adaptation to Unstructured Terrain Surfaces

Deep 360$^\circ$ Optical Flow Estimation Based on Multi-Projection
  Fusion

Neural Radiance Transfer Fields for Relightable Novel-view Synthesis
  with Global Illumination

Lightweight and Progressively-Scalable Networks for Semantic

Fairness and Randomness in Machine Learning: Statistical Independence
  and Relativization

Towards the Neuroevolution of Low-level Artificial General Intelligence

D3C2-Net: Dual-Domain Deep Convolutional Coding Network for Compressive
  Sensing

Data-Driven Sample Average Approximation with Covariate Information

iCub Being Social: Exploiting Social Cues for Interactive Object
  Detection Learning

A Proper Orthogonal Decomposition approach for parameters reduction of
  Single Shot Detector networks

A Variational AutoEncoder for Transformers with Nonparametric
  Variational Information Bottleneck

Early Results From GLASS-JWST. XII: The Morphology of Galaxies at the
  Epoch of Reionization

Learning with Combinatorial Optimization Layers: a Probabilistic
  Approach

Generalizable multi-task, multi-domain deep segmentation of sparse
  pediatric imaging datasets via multi-scale contrastive regularization and
  multi-joint anatomical priors

Modelling Social Context for Fake News Detection: A Graph Neural Network
  Based Approach

Towards the Probabilistic Fusion of Learned Priors into Standard
  Pipelines for 3D Reconstruction

Reducing the Vision and Language Bias for Temporal Sentence Grounding

Safe and Robust Experience Sharing for Deterministic Policy Gradient

Dynamic Shielding for Reinforcement Learning in Black-Box Environments

A Contact-Safe Reinforcement Learning Framework for Contact-Rich Robot

Rethinking Efficacy of Softmax for Lightweight Non-Local Neural Networks

Measurement of the top quark pole mass using
  $\text{t}\bar{\text{t}}$+jet events in the dilepton final state at
  $\sqrt{s}=$ 13 TeV with the CMS experiment

  $\sqrt{s}=13$ TeV

Exactly equivalent thermal conductivity in finite systems from
  equilibrium and nonequilibrium molecular dynamics simulations

Versatile Domain Mapping Of Scanning Electron Nanobeam Diffraction
  Datasets Utilising Variational AutoEncoders and Decoder-Assisted Latent-Space
  Clustering

Look Closer to Your Enemy: Learning to Attack via Teacher-student
  Mimicking

Bridging Traditional and Machine Learning-based Algorithms for Solving
  PDEs: The Random Feature Method

Inferring origin-destination distribution of agent transfer in a complex
  network using deep gated recurrent units

MagGlove: A Haptic Glove with Movable Magnetic Force for Manipulation
  Learning

Optimizing transformations for contrastive learning in a differentiable
  framework

POSET-RL: Phase ordering for Optimizing Size and Execution Time using

Learning Appearance-motion Normality for Video Anomaly Detection

PointFix: Learning to Fix Domain Bias for Robust Online Stereo

ALBench: A Framework for Evaluating Active Learning in Object Detection

Subword Dictionary Learning and Segmentation Techniques for Automatic
  Speech Recognition in Tamil and Kannada

Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross
  Merchandise Value Forecast in E-commerce

Point Cloud Attacks in Graph Spectral Domain: When 3D Geometry Meets
  Graph Signal Processing

DynaMarks: Defending Against Deep Learning Model Extraction Using
  Dynamic Watermarking

Generator Knows What Discriminator Should Learn in Unconditional GANs

NICEST: Noisy Label Correction and Training for Robust Scene Graph

JDRec: Practical Actor-Critic Framework for Online Combinatorial
  Recommender System

Learning the Evolution of Correlated Stochastic Power System Dynamics

Object-ABN: Learning to Generate Sharp Attention Maps for Action

GPS-GLASS: Learning Nighttime Semantic Segmentation Using Daytime Video
  and GPS data

Applied Computer Vision on 2-Dimensional Lung X-Ray Images for Assisted
  Medical Diagnosis of Pneumonia

Detecting Concept Drift in the Presence of Sparsity -- A Case Study of
  Automated Change Risk Assessment System

INTERACT: Achieving Low Sample and Communication Complexities in
  Decentralized Bilevel Learning over Networks

Learning from Positive and Unlabeled Data with Augmented Classes

Fault Detection and Classification of Aerospace Sensors using a
  VGG16-based Deep Neural Network

Sparse Deep Neural Network for Nonlinear Partial Differential Equations

Blockchain associated machine learning and IoT based hypoglycemia
  detection system with auto-injection feature

IoT based Smart Water Quality Prediction for Biofloc Aquaculture

Brain Tumor Diagnosis and Classification via Pre-Trained Convolutional

Spatiotemporal Self-attention Modeling with Temporal Patch Shift for
  Action Recognition

AADG: Automatic Augmentation for Domain Generalization on Retinal Image

Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain

Toward Transparent AI: A Survey on Interpreting the Inner Structures of

Uncertainty-based Visual Question Answering: Estimating Semantic
  Inconsistency between Image and Knowledge Base

Contrastive Image Synthesis and Self-supervised Feature Adaptation for
  Cross-Modality Biomedical Image Segmentation

BrainActivity1: A Framework of EEG Data Collection and Machine Learning
  Analysis for College Students

Mid-level Representation Enhancement and Graph Embedded Uncertainty
  Suppressing for Facial Expression Recognition

SoundChoice: Grapheme-to-Phoneme Models with Semantic Disambiguation

Investigating the Impact of Backward Strategy Learning in a Logic Tutor:
  Aiding Subgoal Learning towards Improved Problem Solving

Atomic structure generation from reconstructing structural fingerprints

A Multicriteria Evaluation for Data-Driven Programming Feedback Systems:
  Accuracy, Effectiveness, Fallibility, and Students' Response

PI-ARS: Accelerating Evolution-Learned Visual-Locomotion with Predictive
  Information Representations

XADLiME: eXplainable Alzheimer's Disease Likelihood Map Estimation via
  Clinically-guided Prototype Learning

Information We Can Extract About a User From 'One Minute Mobile
  Application Usage'

Deep Model-Based Architectures for Inverse Problems under Mismatched
  Priors

Perception-Aware Attack: Creating Adversarial Music via
  Reverse-Engineering Human Perception

GCN-WP -- Semi-Supervised Graph Convolutional Networks for Win
  Prediction in Esports

On Missing Labels, Long-tails and Propensities in Extreme Multi-label

Planning and Learning: A Review of Methods involving Path-Planning for

Multimodal Imaging-based Material Mass Density Estimation for Proton
  Therapy Using Physics-Constrained Deep Learning

Unsupervised Contrastive Learning of Image Representations from
  Ultrasound Videos with Hard Negative Mining

Semi-analytical Industrial Cooling System Model for Reinforcement
  Learning

LGV: Boosting Adversarial Example Transferability from Large Geometric
  Vicinity

Approximation Algorithms for Scheduling under Non-Uniform
  Machine-Dependent Delays

Analysis and Design of Quadratic Neural Networks for Regression,
  Classification, and Lyapunov Control of Dynamical Systems

Pareto-optimal cycles for power, efficiency and fluctuations of quantum
  heat engines using reinforcement learning

Video Manipulations Beyond Faces: A Dataset with Human-Machine Analysis

Reconstruction of inhomogeneous media by iterative reconstruction
  algorithm with learned projector

Efficient protocol for solving combinatorial graph problems on
  neutral-atom quantum processors

Modeling the Social Influence of COVID-19 via Personalized Propagation

Efficient Algorithms for Sparse Moment Problems without Separation

Infant movement classification through pressure distribution analysis --
  added value for research and clinical implementation

An Urban Population Health Observatory for Disease Causal Pathway
  Analysis and Decision Support: Underlying Explainable Artificial Intelligence
  Model

V$^2$L: Leveraging Vision and Vision-language Models into Large-scale
  Product Retrieval

Deep COVID-19 Recognition using Chest X-ray Images: A Comparative
  Analysis

Vision-Aided Blockage Avoidance in UAV-assisted V2X Communications

Learning Series-Parallel Lookup Tables for Efficient Image

Branch Ranking for Efficient Mixed-Integer Programming via Offline
  Ranking-based Policy Learning

Incremental Few-Shot Semantic Segmentation via Embedding Adaptive-Update
  and Hyper-class Representation

From Interpretable Filters to Predictions of Convolutional Neural
  Networks with Explainable Artificial Intelligence

AMF: Adaptable Weighting Fusion with Multiple Fine-tuning for Image

Learning structures of the French clinical language:development and
  validation of word embedding models using 21 million clinical reports from
  electronic health records

"I Used To Carry A Wallet, Now I Just Need To Carry My Phone":
  Understanding Current Banking Practices and Challenges Among Older Adults in
  China

Tree edit distance for hierarchical data compatible with HMIL paradigm

A Guide to Image and Video based Small Object Detection using Deep
  Learning : Case Study of Maritime Surveillance

AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object

Playback-centric visualisations of video usage using weighted
  interactions to guide where to watch in an educational context

Cross-Modality Image Registration using a Training-Time Privileged Third
  Modality

RandProx: Primal-Dual Optimization Algorithms with Randomized Proximal
  Updates

Probing electron beam induced transformations on a single defect level
  via automated scanning transmission electron microscopy

Fixed-Time Convergence for a Class of Nonconvex-Nonconcave Min-Max
  Problems

Unsupervised Domain Adaptation for Video Transformers in Action

KinePose: A temporally optimized inverse kinematics technique for 6DOF
  human pose estimation with biomechanical constraints

Classical and quantum machine learning applications in spintronics

Multimodal-GuideNet: Gaze-Probe Bidirectional Guidance in Obstetric
  Ultrasound Scanning

Lifelong DP: Consistently Bounded Differential Privacy in Lifelong

Visualization Design Practices in a Crisis: Behind the Scenes with
  COVID-19 Dashboard Creators

Compositional Human-Scene Interaction Synthesis with Semantic Control

S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for
  Domain Incremental Learning

Generative Extraction of Audio Classifiers for Speaker Identification

AI Approaches in Processing and Using Data in Personalized Medicine

Class-Aware Universum Inspired Re-Balance Learning for Long-Tailed

Visual correspondence-based explanations improve AI robustness and
  human-AI team accuracy

PIXEL: Physics-Informed Cell Representations for Fast and Accurate PDE
  Solvers

Static and Dynamic Concepts for Self-supervised Video Representation
  Learning

Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing
  Methods

An Explainable Decision Support System for Predictive Process Analytics

Reconciling Security and Communication Efficiency in Federated Learning

A Study on the Use of Edge TPUs for Eye Fundus Image Segmentation

Using clarification questions to improve software developers' Web search

Criteria Comparative Learning for Real-scene Image Super-Resolution

SPAIC: A Spike-based Artificial Intelligence Computing Framework

ScoreCAM GNN: une explication optimale des réseaux profonds sur
  graphes

Distribution Learning Based on Evolutionary Algorithm Assisted Deep
  Neural Networks for Imbalanced Image Classification

Multimodal Neural Machine Translation with Search Engine Based Image
  Retrieval

$\textbf{P$^2$A}$: A Dataset and Benchmark for Dense Action Detection
  from Table Tennis Match Broadcasting Videos

Convolutional neural networks and multi-threshold analysis for
  contamination detection in the apparel industry

Comparison of Deep Learning and Machine Learning Models and Frameworks
  for Skin Lesion Classification

Active Learning of Ordinal Embeddings: A User Study on Football Data

Teaching Programming to Novices Using the codeBoot Online Environment

Advanced Conditional Variational Autoencoders (A-CVAE): Towards
  interpreting open-domain conversation generation via disentangling latent
  feature representation

CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for

Analyzing Sharpness along GD Trajectory: Progressive Sharpening and Edge
  of Stability

A Data Driven Method for Multi-step Prediction of Ship Roll Motion in
  High Sea States

EEG-Based Detection of Braking Intention During Simulated Driving

Time Majority Voting, a PC-based EEG Classifier for Non-expert Users

A Two-Stage Efficient 3-D CNN Framework for EEG Based Emotion

Learning Visual Representation from Modality-Shared Contrastive
  Language-Image Pre-training

Deep reinforcement learning for preparation of thermal and prethermal
  quantum states

ProposalContrast: Unsupervised Pre-training for LiDAR-based 3D Object
  Detection

Can Deep Learning Assist Automatic Identification of Layered Pigments
  From XRF Data?

Efficient and Accurate Skeleton-Based Two-Person Interaction Recognition
  Using Inter- and Intra-body Graphs

Learning Bipedal Walking On Planned Footsteps For Humanoid Robots

SOUL-Net: A Sparse and Low-Rank Unrolling Network for Spectral CT Image

Key frames assisted hybrid encoding for photorealistic compressive video
  sensing

Multi-Attention Network for Compressed Video Referring Object

Exploring the Design of Adaptation Protocols for Improved Generalization
  and Machine Learning Safety

Physics Embedded Machine Learning for Electromagnetic Data Imaging

Remote Medication Status Prediction for Individuals with Parkinson's
  Disease using Time-series Data from Smartphones

A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation
  Metrics

Compiler-Aware Neural Architecture Search for On-Mobile Real-time

Static Hand Gesture Recognition for American Sign Language using

The Bearable Lightness of Big Data: Towards Massive Public Datasets in
  Scientific Machine Learning

$p$-DkNN: Out-of-Distribution Detection Through Statistical Testing of
  Deep Representations

Bayesian tensor factorization for predicting clinical outcomes using
  integrated human genetics evidence

Live Stream Temporally Embedded 3D Human Body Pose and Shape Estimation

Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning

Deep learning-based algorithm for assessment of knee osteoarthritis
  severity in radiographs matches performance of radiologists

3D Lidar Reconstruction with Probabilistic Depth Completion for Robotic

Rapid Prediction of Phonon Structure and Properties using an Atomistic
  Line Graph Neural Network (ALIGNN)

Optimizing Empty Container Repositioning and Fleet Deployment via
  Configurable Semi-POMDPs

Benchmark time series data sets for PyTorch -- the torchtime package

Estimating and Controlling for Fairness via Sensitive Attribute
  Predictors

Machine Learning to Predict the Antimicrobial Activity of Cold
  Atmospheric Plasma-Activated Liquids

VDL-Surrogate: A View-Dependent Latent-based Model for Parameter Space
  Exploration of Ensemble Simulations

Reproducible Sorbent Materials Foundry for Carbon Capture at Scale

Provably Efficient Fictitious Play Policy Optimization for Zero-Sum
  Markov Games with Structured Transitions

Automated discovery of interpretable gravitational-wave population
  models

Systematic Quark/Gluon Identification with Ratios of Likelihoods

C3-SL: Circular Convolution-Based Batch-Wise Compression for
  Communication-Efficient Split Learning

MemSAC: Memory Augmented Sample Consistency for Large Scale Domain

LightX3ECG: A Lightweight and eXplainable Deep Learning System for
  3-lead Electrocardiogram Classification

A novel Deep Learning approach for one-step Conformal Prediction

Fine-Tuning BERT for Automatic ADME Semantic Labeling in FDA Drug
  Labeling to Enhance Product-Specific Guidance Assessment

OpenRAN Gym: AI/ML Development, Data Collection, and Testing for O-RAN
  on PAWR Platforms

On the Learnability of Physical Concepts: Can a Neural Network
  Understand What's Real?

Developing Optimal Causal Cyber-Defence Agents via Cyber Security

Energy-efficient DNN Inference on Approximate Accelerators Through
  Formal Property Exploration

Contrastive Knowledge-Augmented Meta-Learning for Few-Shot

Localization of Coordinated Cyber-Physical Attacks in Power Grids Using
  Moving Target Defense and Deep Learning

The Three Hundred project: A Machine Learning method to infer clusters
  of galaxies mass radial profiles from mock Sunyaev-Zel'dovich maps

Integrating Statistical and Machine Learning Approaches to Identify
  Receptive Field Structure in Neural Populations

Technical Report: Assisting Backdoor Federated Learning with Whole
  Population Knowledge Alignment

Stable Parallel Training of Wasserstein Conditional Generative
  Adversarial Neural Networks

Estimación de áreas de cultivo mediante Deep Learning y
  programación convencional

Learning Generalizable Latent Representations for Novel Degradations in
  Super Resolution

Dynamic Planning in Open-Ended Dialogue using Reinforcement Learning

Exploiting Diversity of Unlabeled Data for Label-Efficient
  Semi-Supervised Active Learning

MedML: Fusing Medical Knowledge and Machine Learning Models for Early
  Pediatric COVID-19 Hospitalization and Severity Prediction

Orthogonalization of data via Gromov-Wasserstein type feedback for
  clustering and visualization

MAPIE: an open-source library for distribution-free uncertainty
  quantification

Continuous ErrP detections during multimodal human-robot interaction

Dynamics of (mis)information flow and engaging power of narratives

SecretGen: Privacy Recovery on Pre-Trained Models via Distribution

Transplantation of Conversational Speaking Style with Interjections in
  Sequence-to-Sequence Speech Synthesis

Surrogate Modeling of Melt Pool Thermal Field using Deep Learning

Equivariance and Invariance Inductive Bias for Learning from
  Insufficient Data

Lifelong Machine Learning of Functionally Compositional Structures

DeepFusion: Real-Time Dense 3D Reconstruction for Monocular SLAM using
  Single-View Depth and Gradient Predictions

OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel
  Segmentation in Weakly-Supervised Learning with Locality Augmentation

Advancing Semi-Supervised Task Oriented Dialog Systems by JSA Learning
  of Discrete Latent Variable Models

Learning Human Body Motions from Skeleton-Based Observations for
  Robot-Assisted Therapy

Finite-Time Analysis of Asynchronous Q-learning under Diminishing
  Step-Size from Control-Theoretic View

Laplacian-based Cluster-Contractive t-SNE for High Dimensional Data
  Visualization

Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series

Machine-Learning Inspired Clustering of Distributed Energy Resources

Improving Adversarial Robustness via Mutual Information Estimation

Calibrated One-class Classification for Unsupervised Time Series Anomaly
  Detection

COSIME: FeFET based Associative Memory for In-Memory Cosine Similarity
  Search

Post-processing Networks: Method for Optimizing Pipeline Task-oriented
  Dialogue Systems using Reinforcement Learning

Novel Strategy Generating Variable-length State Machine Test Paths

dCAM: Dimension-wise Class Activation Map for Explaining Multivariate
  Data Series Classification

Multi-Scale RAFT: Combining Hierarchical Concepts for Learning-based
  Optical FLow Estimation

Personalised Robot Behaviour Modelling for Robot-Assisted Therapy in the
  Context of Autism Spectrum Disorder

Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy

Improving Pseudo Labels With Intra-Class Similarity for Unsupervised

Label Uncertainty Modeling and Prediction for Speech Emotion Recognition
  using t-Distributions

When Virtual Reality Meets Rate Splitting Multiple Access: A Joint
  Communication and Computation Approach

Active Learning Strategies for Weakly-supervised Object Detection

Ego-graph Replay based Continual Learning for Misinformation Engagement

W2N:Switching From Weak Supervision to Noisy Supervision for Object
  Detection

Is GPT-3 all you need for Visual Question Answering in Cultural
  Heritage?

IGFormer: Interaction Graph Transformer for Skeleton-based Human

Efficient Classification with Counterfactual Reasoning and Active
  Learning

Graph neural networks for the prediction of molecular structure-property
  relationships

Homomorphism Autoencoder -- Learning Group Structured Representations
  from Observed Transitions

Adaptive Asynchronous Control using Meta-learned Neural Ordinary

Balancing Stability and Plasticity through Advanced Null Space in

REPNP: Plug-and-Play with Deep Reinforcement Learning Prior for Robust
  Image Restoration

Transferability limitations for Covid 3D Localization Using SARS-CoV-2
  segmentation models in 4D CT images

Designing an AI-Driven Talent Intelligence Solution: Exploring Big Data
  to extend the TOE Framework

Flowsheet synthesis through hierarchical reinforcement learning and
  graph neural networks

Few-Shot Object Detection by Knowledge Distillation Using
  Bag-of-Visual-Words Representations

What makes you change your mind? An empirical investigation in online
  group decision-making conversations

Cost Volume Pyramid Network with Multi-strategies Range Searching for

Collaboration in Participant-Centric Federated Learning: A
  Game-Theoretical Perspective

Effective and Interpretable Information Aggregation with Capacity
  Networks

LETS-GZSL: A Latent Embedding Model for Time Series Generalized Zero
  Shot Learning

Deep dual stream residual network with contextual attention for
  pansharpening of remote sensing images

GNN Transformation Framework for Improving Efficiency and Scalability

Generative Subgraph Contrast for Self-Supervised Graph Representation
  Learning

3D Siamese Transformer Network for Single Object Tracking on Point
  Clouds

$\textrm{D}^3\textrm{Former}$: Debiased Dual Distilled Transformer for
  Incremental Learning

Information Processing Equalities and the Information-Risk Bridge

RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation

Differential testing for machine learning: an analysis for
  classification algorithms beyond deep learning

TransCL: Transformer Makes Strong and Flexible Compressive Learning

Deep Learning for Forecasting the Energy Consumption in Public Buildings

Transition1x -- a Dataset for Building Generalizable Reactive Machine
  Learning Potentials

Optimal Boxes: Boosting End-to-End Scene Text Recognition by Adjusting
  Annotated Bounding Boxes via Reinforcement Learning

Semiparametric Estimation on Multi-treatment Causal Effects via
  Cross-Fitting

Analysis and Optimization of GNN-Based Recommender Systems on Persistent
  Memory

Boolean and $\mathbb{F}_p$-Matrix Factorization: From Theory to Practice

NeuMesh: Learning Disentangled Neural Mesh-based Implicit Field for
  Geometry and Texture Editing

A Closed-Loop Perception, Decision-Making and Reasoning Mechanism for
  Human-Like Navigation

AI Powered Anti-Cyber Bullying System using Machine Learning Algorithm
  of Multinomial Naive Bayes and Optimized Linear Support Vector Machine

UrduFake@FIRE2020: Shared Track on Fake News Identification in Urdu

Overview of the Shared Task on Fake News Detection in Urdu at FIRE 2020

HIRE: Distilling High-order Relational Knowledge From Heterogeneous

Deep learning based non-contact physiological monitoring in Neonatal
  Intensive Care Unit

Implementation of Data Mining on a Secure Cloud Computing over a Web API
  using Supervised Machine Learning Algorithm

Adaptive Marginalized Semantic Hashing for Unpaired Cross-Modal
  Retrieval

Understanding Deep Learning using Topological Dynamical Systems, Index
  Theory, and Homology

Visual Perturbation-aware Collaborative Learning for Overcoming the
  Language Prior Problem

Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease
  Progression Modeling

$\textit{FastSVD-ML-ROM}$: A Reduced-Order Modeling Framework based on
  Machine Learning for Real-Time Applications

Inter-model Interpretability: Self-supervised Models as a Case Study

Optimal data generation for machine learned interatomic potentials

Hyperdimensional Computing vs. Neural Networks: Comparing Architecture
  and Learning Process

Federated Graph Machine Learning: A Survey of Concepts, Techniques, and

VizWiz-FewShot: Locating Objects in Images Taken by People With Visual
  Impairments

PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval
  and Deformation

Hierarchical Semi-Supervised Contrastive Learning for
  Contamination-Resistant Anomaly Detection

Privacy Against Inference Attacks in Vertical Federated Learning

Using (1 + 1)D Quantum Cellular Automata for Exploring Collective
  Effects in Large Scale Quantum Neural Networks

Incorporating Heterogeneous User Behaviors and Social Influences for
  Predictive Analysis

Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head
  Synthesis

CODiT: Conformal Out-of-Distribution Detection in Time-Series Data

Anti-Overestimation Dialogue Policy Learning for Task-Completion
  Dialogue System

Spatial-Temporal Federated Learning for Lifelong Person
  Re-identification on Distributed Edges

Source Separation of Unknown Numbers of Single-Channel Underwater
  Acoustic Signals Based on Autoencoders

Improved Super Resolution of MR Images Using CNNs and Vision

From Multi-label Learning to Cross-Domain Transfer: A Model-Agnostic
  Approach

AMS-Net: Adaptive Multiscale Sparse Neural Network with Interpretable
  Basis Expansion for Multiphase Flow Problems

Combining Internal and External Constraints for Unrolling Shutter in
  Videos

Adaptive Decision Making at the Intersection for Autonomous Vehicles
  Based on Skill Discovery

Progressive Feature Learning for Realistic Cloth-Changing Gait

Gradient-based Bi-level Optimization for Deep Learning: A Survey

A Priority Map for Vision-and-Language Navigation with Trajectory Plans
  and Feature-Location Cues

TVCalib: Camera Calibration for Sports Field Registration in Soccer

Towards an Improved Understanding of Software Vulnerability Assessment
  Using Data-Driven Approaches

Improving Test-Time Adaptation via Shift-agnostic Weight Regularization
  and Nearest Source Prototypes

A Transformer-based Neural Language Model that Synthesizes Brain
  Activation Maps from Free-Form Text Queries

Proving Common Mechanisms Shared by Twelve Methods of Boosting
  Adversarial Transferability

HouseX: A Fine-grained House Music Dataset and its Potential in the
  Music Industry

Kernel Relative-prototype Spectral Filtering for Few-shot Learning

PCA: Semi-supervised Segmentation with Patch Confidence Adversarial
  Training

Clustering of bivariate satellite time series: a quantile approach

Learnable Privacy-Preserving Anonymization for Pedestrian Images

Modeling Associative Plasticity between Synapses to Enhance Learning of
  Spiking Neural Networks

Linking Properties to Microstructure in Liquid Metal Embedded Elastomers
  via Machine Learning

Data Augmentation in Temporal and Polar Domains for Event-Based Learning

BPFISH: Blockchain and Privacy-preserving FL Inspired Smart Healthcare

Pavementscapes: a large-scale hierarchical image dataset for asphalt
  pavement damage segmentation

Reliable amortized variational inference with physics-based latent
  distribution correction

Explored An Effective Methodology for Fine-Grained Snake Recognition

Prediction Intervals in the Beta Autoregressive Moving Average Model

Generalized Attention Mechanism and Relative Position for Transformer

Composing RNNs and FSTs for Small Data: Recovering Missing Characters in
  Old Hawaiian Text

A Simplistic and Cost-Effective Design for Real-World Development of an
  Ambient Assisted Living System for Fall Detection and Indoor Localization:
  Proof of Concept

A Universal Trade-off Between the Model Size, Test Loss, and Training
  Loss of Linear Predictors

Will You Trust This TLS Certificate? Perceptions of People Working in IT
  (Extended Version)

Exploration in Linear Bandits with Rich Action Sets and its Implications
  for Inference

Thermal half-lives of azobenzene derivatives: virtual screening based on
  intersystem crossing using a machine learning potential

Hierarchical Kickstarting for Skill Transfer in Reinforcement Learning

Boosting the Efficiency of Parametric Detection with Hierarchical Neural
  Networks

Defining an action of SO(d)-rotations on images generated by projections
  of d-dimensional objects: Applications to pose inference with Geometric VAEs

Self-Supervised Learning of Echocardiogram Videos Enables Data-Efficient
  Clinical Diagnosis

Augmented Bilinear Network for Incremental Multi-Stock Time-Series

Accelerating high order discontinuous Galerkin solvers using neural
  networks: 3D compressible Navier-Stokes equations

A general-purpose method for applying Explainable AI for Anomaly
  Detection

Better Reasoning Behind Classification Predictions with BERT for Fake
  News Detection

Tensor-based Multi-view Spectral Clustering via Shared Latent Space

3DOS: Towards 3D Open Set Learning -- Benchmarking and Understanding
  Semantic Novelty Detection on Point Clouds

Variational Temporal Deconfounder for Individualized Treatment Effect
  Estimation from Longitudinal Observational Data

Initial Orbit Determination for the CR3BP using Particle Swarm

A Ligand-and-structure Dual-driven Deep Learning Method for the
  Discovery of Highly Potent GnRH1R Antagonist to treat Uterine Diseases

FastATDC: Fast Anomalous Trajectory Detection and Classification

An NLP-Assisted Bayesian Time Series Analysis for Prevalence of Twitter
  Cyberbullying During the COVID-19 Pandemic

Comparative Validation of AI and non-AI Methods in MRI Volumetry to
  Diagnose Parkinsonian Syndromes

Supporting peace negotiations in the Yemen war through machine learning

Unstructured Road Segmentation using Hypercolumn based Random Forests of
  Local experts

Online Knowledge Distillation via Mutual Contrastive Learning for Visual

Marior: Margin Removal and Iterative Content Rectification for Document
  Dewarping in the Wild

Semantic Abstraction: Open-World 3D Scene Understanding from 2D

Combining Self-Training and Hybrid Architecture for Semi-supervised
  Abdominal Organ Segmentation

SSBNet: Improving Visual Recognition Efficiency by Adaptive Sampling

Intelligent 3D Network Protocol for Multimedia Data Classification using

A Data-driven Latent Semantic Analysis for Automatic Text Summarization
  using LDA Topic Modelling

Implementation Of Tiny Machine Learning Models On Arduino 33 BLE For
  Gesture And Speech Recognition

Time Series Prediction under Distribution Shift using Differentiable
  Forgetting

GraphFit: Learning Multi-scale Graph-Convolutional Representation for
  Point Cloud Normal Estimation

Multimodal Emotion Recognition with Modality-Pairwise Unsupervised
  Contrastive Loss

Distributed Nonlinear State Estimation in Electric Power Systems using

Optimization of the Shape of a Hydrokinetic Turbine's Draft Tube and Hub
  Assembly Using Design-by-Morphing with Bayesian Optimization

Handling Data Heterogeneity in Federated Learning via Knowledge Fusion

BuyTheDips: PathLoss for improved topology-preserving deep
  learning-based image segmentation

Personalized Promotion Decision Making Based on Direct and Enduring
  Effect Predictions

$μ\text{KG}$: A Library for Multi-source Knowledge Graph Embeddings
  and Applications

The prediction of the quality of results in Logic Synthesis using
  Transformer and Graph Neural Networks

Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs

RIBBON: Cost-Effective and QoS-Aware Deep Learning Model Inference using
  a Diverse Pool of Cloud Computing Instances

Driver Dojo: A Benchmark for Generalizable Reinforcement Learning for

Epersist: A Self Balancing Robot Using PID Controller And Deep

MISO: Exploiting Multi-Instance GPU Capability on Multi-Tenant Systems
  for Machine Learning

Multiscale Neural Operator: Learning Fast and Grid-independent PDE
  Solvers

Detection and Initial Assessment of Lunar Landing Sites Using Neural
  Networks

Satellite Detection in Unresolved Space Imagery for Space Domain
  Awareness Using Neural Networks

A New Approach to Drifting Games, Based on Asymptotically Optimal
  Potentials

Orientation and Context Entangled Network for Retinal Vessel

Deep Pneumonia: Attention-Based Contrastive Learning for
  Class-Imbalanced Pneumonia Lesion Recognition in Chest X-rays

Two-Aspect Information Fusion Model For ABAW4 Multi-task Challenge

Density-Aware Personalized Training for Risk Prediction in Imbalanced
  Medical Data

Egocentric scene context for human-centric environment understanding
  from video

Machine Learning Modeling to Evaluate the Value of Football Players

Learning Distributed Quantum State Discrimination with Noisy Classical

A Supervised Tensor Dimension Reduction-Based Prognostics Model for
  Applications with Incomplete Imaging Data

Deep neural network heatmaps capture Alzheimer's disease patterns
  reported in a large meta-analysis of neuroimaging studies

First AI for deep super-resolution wide-field imaging in radio
  astronomy: unveiling structure in ESO 137-006

Scalable training of graph convolutional neural networks for fast and
  accurate predictions of HOMO-LUMO gap in molecules

Learning from Multiple Annotator Noisy Labels via Sample-wise Label
  Fusion

A flexible PageRank-based graph embedding framework closely related to
  spectral eigenvector embeddings

Graph-Structured Policy Learning for Multi-Goal Manipulation Tasks

A Novel Meta-predictor based Algorithm for Testing VLSI Circuits

Understanding Non-linearity in Graph Neural Networks from the
  Bayesian-Inference Perspective

JAM: The JavaScript Agent Machine for Distributed Computing and
  Simulation with reactive and mobile Multi-agent Systems -- A Technical Report

Accelerated and Quantitative 3D Semisolid MT/CEST Imaging using a
  Generative Adversarial Network (GAN-CEST)

Distributed Deep Learning Inference Acceleration using Seamless
  Collaboration in Edge Computing

TRUST-LAPSE: An Explainable & Actionable Mistrust Scoring Framework for
  Model Monitoring

Communities in C.elegans connectome through the prism of
  non-backtracking walks

PanGu-Coder: Program Synthesis with Function-Level Language Modeling

Searching for the extra-tidal stars of globular clusters using
  high-dimensional analysis and a core particle spray code

Deep Learning Hyperparameter Optimization for Breast Mass Detection in
  Mammograms

E2N: Error Estimation Networks for Goal-Oriented Mesh Adaptation

Seeing 3D Objects in a Single Image via Self-Supervised Static-Dynamic
  Disentanglement

Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free
  Replay

Statistical and Computational Trade-offs in Variational Inference: A
  Case Study in Inferential Model Selection

Multi-Faceted Distillation of Base-Novel Commonality for Few-shot Object
  Detection

Secure and Lightweight Strong PUF Challenge Obfuscation with Keyed
  Non-linear FSR

Applying Spatiotemporal Attention to Identify Distracted and Drowsy
  Driving with Vision Transformers

Explaining Dynamic Graph Neural Networks via Relevance Back-propagation

Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark

METER-ML: A Multi-Sensor Earth Observation Benchmark for Automated
  Methane Source Mapping

High dimensional stochastic linear contextual bandit with missing
  covariates

Generalized Identifiability Bounds for Mixture Models with Grouped
  Samples

Lagrangian Method for Q-Function Learning (with Applications to Machine
  Translation)

SPRT-based Efficient Best Arm Identification in Stochastic Bandits

Learn Continuously, Act Discretely: Hybrid Action-Space Reinforcement
  Learning For Optimal Execution

InfiniteNature-Zero: Learning Perpetual View Generation of Natural
  Scenes from Single Images

Deep learning of diffeomorphisms for optimal reparametrizations of
  shapes

Optimism in Face of a Context: Regret Guarantees for Stochastic
  Contextual MDP

Adaptive Graph-Based Feature Normalization for Facial Expression

V-Coder: Adaptive AutoEncoder for Semantic Disclosure in Knowledge
  Graphs

Near Real-Time Distributed State Estimation via AI/ML-Empowered 5G
  Networks

Fast strategies for multi-temporal speckle reduction of Sentinel-1 GRD
  images

CARBON: A Counterfactual Reasoning based Framework for Neural Code
  Comprehension Debiasing

DeVIS: Making Deformable Transformers Work for Video Instance

Physiology-based simulation of the retinal vasculature enables
  annotation-free segmentation of OCT angiographs

Seeing moiré: convolutional network learning applied to twistronics

Visual Speech-Aware Perceptual 3D Facial Expression Reconstruction from
  Videos

Multi-Level Fine-Tuning, Data Augmentation, and Few-Shot Learning for
  Specialized Cyber Threat Intelligence

RealFlow: EM-based Realistic Optical Flow Dataset Generation from Videos

Context-aware controller inference for stabilizing dynamical systems
  from scarce data

Quantized Sparse Weight Decomposition for Neural Network Compression

Spatial-Temporal Feature Extraction and Evaluation Network for Citywide
  Traffic Condition Prediction

MobileDenseNet: A new approach to object detection on mobile devices

A Transferable Intersection Reconstruction Network for Traffic Speed

Centralized and Decentralized ML-Enabled Integrated Terrestrial and
  Non-Terrestrial Networks

Layer-Wise Partitioning and Merging for Efficient and Scalable Deep
  Learning

Learning from what we know: How to perform vulnerability prediction
  using noisy historical data

Guided Evolutionary Neural Architecture Search With Efficient
  Performance Estimation

Revisiting Parameter Reuse to Overcome Catastrophic Forgetting in Neural
  Networks

POP: Mining POtential Performance of new fashion products via webly
  cross-modal query expansion

Applying Machine Learning on RSRP-based Features for False Base Station
  Detection

Rapid Lung Ultrasound COVID-19 Severity Scoring with Resource-Efficient
  Deep Feature Extraction

Meta-Registration: Learning Test-Time Optimization for Single-Pair Image

Learning Generalized Non-Rigid Multimodal Biomedical Image Registration
  from Generic Point Set Data

Taguchi based Design of Sequential Convolution Neural Network for
  Classification of Defective Fasteners

Learning Human Kinematics by Modeling Temporal Correlations between
  Joints for Video-based Human Pose Estimation

Opportunistic hip fracture risk prediction in Men from X-ray: Findings
  from the Osteoporosis in Men (MrOS) Study

Convergence Theory of Generalized Distributed Subgradient Method with
  Random Quantization

Principal Geodesic Analysis of Merge Trees (and Persistence Diagrams)

Vision-based Human Fall Detection Systems using Deep Learning: A Review

Redundancy-aware unsupervised ranking based on game theory --
  application to gene enrichment analysis

Dynamic Local Aggregation Network with Adaptive Clusterer for Anomaly
  Detection

Multilabel Prototype Generation for Data Reduction in k-Nearest
  Neighbour classification

Efficient Testing of Deep Neural Networks via Decision Boundary Analysis

Respecting Time Series Properties Makes Deep Time Series Forecasting
  Perfect

Statistical Hypothesis Testing Based on Machine Learning: Large
  Deviations Analysis

Physics-informed convolutional neural network with bicubic spline
  interpolation for sound field estimation

What's in the laundromat? Mapping and characterising offshore owned
  domestic property in London

Evolution of the public opinion on COVID-19 vaccination in Japan

Simulation of Noncircular Rigid Bodies: Machine Learning Based Overlap
  Calculation Technique with System Size Independent Computational Cost

Search for the Higgs boson pair production in the $b\bar{b}μ^+μ^-$
  final state at the LHC

Decoupled Adversarial Contrastive Learning for Self-supervised
  Adversarial Robustness

Privacy and Transparency in Graph Machine Learning: A Unified

3D Random Occlusion and Multi-Layer Projection for Deep Multi-Camera
  Pedestrian Localization

Bi-directional Contrastive Learning for Domain Adaptive Semantic

FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute

My View is the Best View: Procedure Learning from Egocentric Videos

An Ensemble Approach for Multiple Emotion Descriptors Estimation Using
  Multi-task Learning

Enhancing Oceanic Variables Forecast in the Santos Channel by Estimating
  Model Error with Random Forests

Assessing mortality prediction through different representation models
  based on concepts extracted from clinical notes

On Higher Adversarial Susceptibility of Contrastive Self-Supervised
  Learning

Transformer with Implicit Edges for Particle-based Physics Simulation

Two-Stage Fine-Tuning: A Novel Strategy for Learning Class-Imbalanced
  Data

Uncertainty-aware Multi-modal Learning via Cross-modal Random Network

Robust and Safe Autonomous Navigation for Systems with Learned SE(3)
  Hamiltonian Dynamics

Characterizing Coherent Integrated Photonic Neural Networks under
  Imperfections

DeFakePro: Decentralized DeepFake Attacks Detection using ENF
  Authentication

Automated Dilated Spatio-Temporal Synchronous Graph Modeling for Traffic

Learn and Control while Switching: with Guaranteed Stability and
  Sublinear Regret

Just Rotate it: Deploying Backdoor Attacks via Rotation Transformation

Complementing Semi-Supervised Learning with Uncertainty Quantification

Rethinking Sim2Real: Lower Fidelity Simulation Leads to Higher Sim2Real
  Transfer in Navigation

Strategising template-guided needle placement for MR-targeted prostate
  biopsy

Learning Deep SDF Maps Online for Robot Navigation and Exploration

Solving the optimal stopping problem with reinforcement learning: an
  application in financial option exercise

Efficient Graph-Friendly COCO Metric Computation for Train-Time Model

An advanced combination of semi-supervised Normalizing Flow & Yolo
  (YoloNF) to detect and recognize vehicle license plates

Modeling User Behavior With Interaction Networks for Spam Detection

Benchmarks for a Global Extraction of Information from Deeply Virtual
  Exclusive Scattering

Towards Interpretable Video Super-Resolution via Alternating

Tactile Gym 2.0: Sim-to-real Deep Reinforcement Learning for Comparing
  Low-cost High-Resolution Robot Touch

TIDEE: Tidying Up Novel Rooms using Visuo-Semantic Commonsense Priors

DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection

Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization

A Transferable Recommender Approach for Selecting the Best Density
  Functional Approximations in Chemical Discovery

GreenDB -- A Dataset and Benchmark for Extraction of Sustainability
  Information of Consumer Goods

Explainable AI Algorithms for Vibration Data-based Fault Detection: Use
  Case-adadpted Methods and Critical Evaluation

The trade-offs of model size in large recommendation models : A 10000
  $\times$ compressed criteo-tb DLRM model (100 GB parameters to mere 10MB)

Federated Semi-Supervised Domain Adaptation via Knowledge Transfer

Heterogeneous Ensemble Learning for Enhanced Crash Forecasts -- A
  Frequentest and Machine Learning based Stacking Framework

Synthetic Dataset Generation for Adversarial Machine Learning Research

Learning Physics from the Machine: An Interpretable Boosted Decision
  Tree Analysis for the Majorana Demonstrator

Efficient model compression with Random Operation Access Specific Tile
  (ROAST) hashing

A machine learning based approach to gravitational lens identification
  with the International LOFAR Telescope

Unveiling ground state sign structures of frustrated quantum systems via
  non-glassy Ising models

Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset

Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild

Deep Learning of Radiative Atmospheric Transfer with an Autoencoder

A Dynamical Systems Algorithm for Clustering in Hyperspectral Imagery

Leveraging Natural Supervision for Language Representation Learning and

Unsupervised pre-training of graph transformers on patient population
  graphs

Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement
  Learning

Unsupervised Night Image Enhancement: When Layer Decomposition Meets
  Light-Effects Suppression

Careful What You Wish For: on the Extraction of Adversarially Trained
  Models

The MABe22 Benchmarks for Representation Learning of Multi-Agent
  Behavior

A Primer on Topological Data Analysis to Support Image Analysis Tasks in
  Environmental Science

Scaling Laws vs Model Architectures: How does Inductive Bias Influence
  Scaling?

Surrey System for DCASE 2022 Task 5: Few-shot Bioacoustic Event
  Detection with Segment-level Metric Learning

Assume, Guarantee or Repair -- A Regular Framework for Non Regular
  Properties (full version)

Hybrid Data-Driven Closure Strategies for Reduced Order Modeling

Neural Network Learning of Chemical Bond Representations in Spectral
  Indices and Features

MQRetNN: Multi-Horizon Time Series Forecasting with Retrieval

Multi-modal Retinal Image Registration Using a Keypoint-Based Vessel
  Structure Aligning Network

Correlation between bandwidth and frequency of plasmaspheric hiss
  uncovered with unsupervised machine learning

Classifying Crop Types using Gaussian Bayesian Models and Neural
  Networks on GHISACONUS USGS data from NASA Hyperspectral Satellite Imagery

A Forgotten Danger in DNN Supervision Testing: Generating and Detecting
  True Ambiguity

ME-GAN: Learning Panoptic Electrocardio Representations for Multi-view
  ECG Synthesis Conditioned on Heart Diseases

Metropolis Monte Carlo sampling: convergence, localization transition
  and optimality

Towards Confident Detection of Prostate Cancer using High Resolution
  Micro-ultrasound

Room geometry blind inference based on the localization of real sound
  source and first order reflections

Target Identification and Bayesian Model Averaging with Probabilistic
  Hierarchical Factor Probabilities

Fast Data Driven Estimation of Cluster Number in Multiplex Images using
  Embedded Density Outliers

Low cost prediction of probability distributions of molecular properties
  for early virtual screening

Magic ELF: Image Deraining Meets Association Learning and Transformer

Machine Learning assisted excess noise suppression for
  continuous-variable quantum key distribution

Estimation of Non-Crossing Quantile Regression Process with Deep ReQU

Incorporating Prior Knowledge into Reinforcement Learning for Soft
  Tissue Manipulation with Autonomous Grasping Point Selection

DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using
  Unsupervised Domain-Classifier Guided Network

A Wavelet Transform and self-supervised learning-based framework for
  bearing fault diagnosis with limited labeled data

The Neural Race Reduction: Dynamics of Abstraction in Gated Networks

KD-MVS: Knowledge Distillation Based Self-supervised Learning for MVS

Differentiable Integrated Motion Prediction and Planning with Learnable
  Cost Function for Autonomous Driving

Log Barriers for Safe Black-box Optimization with Application to Safe

Semantic-aware Modular Capsule Routing for Visual Question Answering

Detecting Deepfake by Creating Spatio-Temporal Regularity Disruption

Correspondence Matters for Video Referring Expression Comprehension

On the Implementation of a Reinforcement Learning-based Capacity Sharing
  Algorithm in O-RAN

NSNet: Non-saliency Suppression Sampler for Efficient Video Recognition

Detecting and Preventing Shortcut Learning for Fair Medical AI using
  Shortcut Testing (ShorT)

Multi-Asset Closed-Loop Reservoir Management Using Deep Reinforcement
  Learning

UAV Trajectory, User Association and Power Control for Multi-UAV Enabled
  Energy Harvesting Communications: Offline Design and Online Reinforcement
  Learning

Land Classification in Satellite Images by Injecting Traditional
  Features to CNN Models

EC-KitY: Evolutionary Computation Tool Kit in Python with Seamless
  Machine Learning Integration

Domain Decomposition Learning Methods for Solving Elliptic Problems

Learning from Data with Noisy Labels Using Temporal Self-Ensemble

Auto Machine Learning for Medical Image Analysis by Unifying the Search
  on Data Augmentation and Neural Architecture

Efficient Search of Multiple Neural Architectures with Different
  Complexities via Importance Sampling

Jointly Predicting Emotion, Age, and Country Using Pre-Trained Acoustic
  Embedding

Reinforcement learning for Energies of the future and carbon neutrality:
  a Challenge Design

Improved Chest Anomaly Localization without Pixel-level Annotation via
  Image Translation Network Application in Pseudo-paired Registration Domain

OIMNet++: Prototypical Normalization and Localization-aware Learning for
  Person Search

AdaNeRF: Adaptive Sampling for Real-time Rendering of Neural Radiance
  Fields

A Survey on Leveraging Pre-trained Generative Adversarial Networks for
  Image Editing and Restoration

Detecting Small Query Graphs in A Large Graph via Neural Subgraph Search

Learn From All: Erasing Attention Consistency for Noisy Label Facial
  Expression Recognition

Deep Learning for Unsupervised Anomaly Localization in Industrial
  Images: A Survey

A Theoretical Framework for Inference and Learning in Predictive Coding
  Networks

Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning

Affective Behavior Analysis using Action Unit Relation Graph and
  Multi-task Cross Attention

A comprehensive study of non-adaptive and residual-based adaptive
  sampling for physics-informed neural networks

Comparative Study on Supervised versus Semi-supervised Machine Learning
  for Anomaly Detection of In-vehicle CAN Network

Grounding Visual Representations with Texts for Domain Generalization

Switching One-Versus-the-Rest Loss to Increase the Margin of Logits for

Beyond single receptive field: A receptive field
  fusion-and-stratification network for airborne laser scanning point cloud

ProMix: Combating Label Noise via Maximizing Clean Sample Utility

DeltaGAN: Towards Diverse Few-shot Image Generation with Sample-Specific
  Delta

Different Channels to Transmit Information in a Scattering Medium

FOCUS: Fairness via Agent-Awareness for Federated Learning on
  Heterogeneous Data

Domain Generalization for Activity Recognition via Adaptive Feature
  Fusion

Roles of scattered and ballistic photons in imaging through scattering
  media: a deep learning-based study

SGBANet: Semantic GAN and Balanced Attention Network for Arbitrarily
  Oriented Scene Text Recognition

GBDF: Gender Balanced DeepFake Dataset Towards Fair DeepFake Detection

A Ransomware Triage Approach using a Task Memory based on Meta-Transfer
  Learning Framework

Unsupervised Legendre-Galerkin Neural Network for Stiff Partial

Improving Privacy-Preserving Vertical Federated Learning by Efficient
  Communication with ADMM

Direct Localization in Underwater Acoustics via Convolutional Neural
  Networks: A Data-Driven Approach

The Game of Hidden Rules: A New Kind of Benchmark Challenge for Machine
  Learning

Hybrid CNN-Transformer Model For Facial Affect Recognition In the ABAW4
  Challenge

Bitwidth-Adaptive Quantization-Aware Neural Network Training: A
  Meta-Learning Approach

Learning to estimate a surrogate respiratory signal from cardiac motion
  by signal-to-signal translation

Flow-based Visual Quality Enhancer for Super-resolution Magnetic
  Resonance Spectroscopic Imaging

Controllable and Guided Face Synthesis for Unconstrained Face

Scene Recognition with Objectness, Attribute and Category Learning

Benchmark tests of atom segmentation deep learning models with a
  consistent dataset

Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw
  Puzzles

Illusionary Attacks on Sequential Decision Makers and Countermeasures

CEGANN: Crystal Edge Graph Attention Neural Network for multiscale
  classification of materials environment

Liver Segmentation using Turbolift Learning for CT and Cone-beam C-arm
  Perfusion Imaging

GOCA: Guided Online Cluster Assignment for Self-Supervised Video

Multimodal Estimation of End Point Force During Quasi-dynamic and
  Dynamic Muscle Contractions Using Deep Learning

Digraphwave: Scalable Extraction of Structural Node Embeddings via
  Diffusion on Directed Graphs

Learning Deformable Object Manipulation from Expert Demonstrations

Machine Learning for First Principles Calculations of Material
  Properties for Ferromagnetic Materials

An Exploratory Study of Tweets about the SARS-CoV-2 Omicron Variant:
  Insights from Sentiment Analysis, Language Interpretation, Source Tracking,
  Type Classification, and Embedded URL Detection

AudioScopeV2: Audio-Visual Attention Architectures for Calibrated
  Open-Domain On-Screen Sound Separation

Learning to identify cracks on wind turbine blade surfaces using
  drone-based inspection images

Machine learning and geospatial methods for large-scale mining data

Continual Variational Autoencoder Learning via Online Cooperative
  Memorization

Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance

BRACE: The Breakdancing Competition Dataset for Dance Motion Synthesis

A Large-Scale Dataset of Twitter Chatter about Online Learning during
  the Current COVID-19 Omicron Wave

World Robot Challenge 2020 -- Partner Robot: A Data-Driven Approach for
  Room Tidying with Mobile Manipulator

Discover and Mitigate Unknown Biases with Debiasing Alternate Networks

Is an Object-Centric Video Representation Beneficial for Transfer?

Discriminator-Weighted Offline Imitation Learning from Suboptimal

Can a Hebbian-like learning rule be avoiding the curse of dimensionality
  in sparse distributed data?

Locality Guidance for Improving Vision Transformers on Tiny Datasets

Learning from Synthetic Data: Facial Expression Classification based on
  Ensemble of Multi-task Networks

MANI-Rank: Multiple Attribute and Intersectional Group Fairness for
  Consensus Ranking

Sampling type method combined with deep learning for inverse scattering
  with one incident wave

Two-Unitary Decomposition Algorithm and Open Quantum System Simulation

Fine-grained Early Frequency Attention for Deep Speaker Recognition

Overcoming Shortcut Learning in a Target Domain by Generalizing Basic
  Visual Factors from a Source Domain

Digital Twin-based Intrusion Detection for Industrial Control Systems

DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation

ReFactor GNNs: Revisiting Factorisation-based Models from a
  Message-Passing Perspective

NeuralBF: Neural Bilateral Filtering for Top-down Instance Segmentation
  on Point Clouds

Temporal and cross-modal attention for audio-visual zero-shot learning

Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis
  in Hyperbolic Geometry

Measuring and signing fairness as performance under multiple stakeholder

Estimating Model Performance under Domain Shifts with Class-Specific
  Confidence Scores

Operation-Level Performance Benchmarking of Graph Neural Networks for
  Scientific Applications

Learning Pedestrian Group Representations for Multi-modal Trajectory

Deep Reinforcement Learning for Market Making Under a Hawkes
  Process-Based Limit Order Book Model

VirtualPose: Learning Generalizable 3D Human Pose Models from Virtual
  Data

Fixed Points of Cone Mapping with the Application to Neural Networks

Deep Preconditioners and their application to seismic wavefield
  processing

Deep reinforcement learning for key distribution based on quantum
  repeaters

ViGAT: Bottom-up event recognition and explanation in video using
  factorized graph attention network

An Efficient Framework for Few-shot Skeleton-based Temporal Action

Decentralized Bandits with Feedback for Cognitive Radar Networks

Face-to-Face Co-Located Human-Human Social Interaction Analysis using
  Nonverbal Cues: A Survey

A Novel Neural Network Training Method for Autonomous Driving Using
  Semi-Pseudo-Labels and 3D Data Augmentations

Adaptive Mixture of Experts Learning for Generalizable Face

A System-driven Automatic Ground Truth Generation Method for DL
  Inner-City Driving Corridor Detectors

Learning to Solve Soft-Constrained Vehicle Routing Problems with
  Lagrangian Relaxation

Automated machine learning for borehole resistivity measurements

Many-to-One Knowledge Distillation of Real-Time Epileptic Seizure
  Detection for Low-Power Wearable Internet of Things Systems

Quantifying the Effect of Feedback Frequency in Interactive
  Reinforcement Learning for Robotic Tasks

End-to-End and Self-Supervised Learning for ComParE 2022 Stuttering
  Sub-Challenge

UNIF: United Neural Implicit Functions for Clothed Human Reconstruction
  and Animation

The Atlas Benchmark: an Automated Evaluation Framework for Human Motion

Journal Impact Factor and Peer Review Thoroughness and Helpfulness: A
  Supervised Machine Learning Study

Operating Envelopes under Probabilistic Electricity Demand and Solar
  Generation Forecasts

NUWA-Infinity: Autoregressive over Autoregressive Generation for
  Infinite Visual Synthesis

Mixed-Precision Inference Quantization: Radically Towards Faster
  inference speed, Lower Storage requirement, and Lower Loss

The Anatomy of Video Editing: A Dataset and Benchmark Suite for
  AI-Assisted Video Editing

Unsupervised Industrial Anomaly Detection via Pattern Generative and
  Contrastive Networks

Incremental Quasi-Newton Algorithms for Solving Nonconvex, Nonsmooth,
  Finite-Sum Optimization Problems

Cross-Modal Contrastive Representation Learning for Audio-to-Image

Unsupervised energy disaggregation via convolutional sparse coding

Anomaly Detection of Smart Metering System for Power Management with
  Battery Storage System/Electric Vehicle

Cancer Subtyping by Improved Transcriptomic Features Using Vector
  Quantized Variational Autoencoder

CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR

AU-Supervised Convolutional Vision Transformers for Synthetic Facial

A Hybrid Convolutional Neural Network with Meta Feature Learning for
  Abnormality Detection in Wireless Capsule Endoscopy Images

Collaborating Domain-shared and Target-specific Feature Clustering for
  Cross-domain 3D Action Recognition

ApHMM: Accelerating Profile Hidden Markov Models for Fast and
  Energy-Efficient Genome Analysis

GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D
  LiDAR Segmentation

Task-adaptive Spatial-Temporal Video Sampler for Few-shot Action

A Temporally and Spatially Local Spike-based Backpropagation Algorithm
  to Enable Training in Hardware

Facial Affect Analysis: Learning from Synthetic Data & Multi-Task
  Learning Challenges

Transfer Learning of wav2vec 2.0 for Automatic Lyric Transcription

MLMSA: Multi-Label Multi-Side-Channel-Information enabled Deep Learning
  Attacks on APUF Variants

Interpreting Latent Spaces of Generative Models for Medical Images using
  Unsupervised Methods

CrossHuman: Learning Cross-Guidance from Multi-Frame Images for Human

Introducing Auxiliary Text Query-modifier to Content-based Audio
  Retrieval

Feature Representation Learning for Unsupervised Cross-domain Image
  Retrieval

Multi-Task Learning for Emotion Descriptors Estimation at the fourth
  ABAW Challenge

Learning Sequence Representations by Non-local Recurrent Neural Memory

Resolving Copycat Problems in Visual Imitation Learning via Residual
  Action Prediction

Correntropy-Based Logistic Regression with Automatic Relevance
  Determination for Robust Sparse Brain Activity Decoding

BigColor: Colorization using a Generative Color Prior for Natural Images

On the Versatile Uses of Partial Distance Correlation in Deep Learning

Improving Data Driven Inverse Text Normalization using Data Augmentation

Generalizable and Robust Deep Learning Algorithm for Atrial Fibrillation
  Diagnosis Across Ethnicities, Ages and Sexes

ExoSGAN and ExoACGAN: Exoplanet Detection using Adversarial Training

Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical
  Scene Segmentation with Limited Annotations

Hand-Assisted Expression Recognition Method from Synthetic Images at the
  Fourth ABAW Challenge

Alternating minimization for generalized rank one matrix sensing: Sharp
  predictions from a random initialization

How can I improve my scientific impact? The most influential factors in
  predicting the h-index

Learning Topological Interactions for Multi-Class Medical Image

FedDM: Iterative Distribution Matching for Communication-Efficient

Deep Learning Based Automatic Modulation Recognition: Models, Datasets,
  and Challenges

Hierarchically Self-Supervised Transformer for Human Skeleton

Doge Tickets: Uncovering Domain-general Language Models by Playing
  Lottery Tickets

HyperNet: Self-Supervised Hyperspectral Spatial-Spectral Feature
  Understanding Network for Hyperspectral Change Detection

EVHA: Explainable Vision System for Hardware Testing and Assurance -- An
  Overview

Learning from few examples: Classifying sex from retinal images via deep
  learning

Overlooked factors in concept-based explanations: Dataset choice,
  concept salience, and human capability

Exploiting Domain Transferability for Collaborative Inter-level Domain
  Adaptive Object Detection

Combined Federated and Split Learning in Edge Computing for Ubiquitous
  Intelligence in Internet of Things: State of the Art and Future Directions

Towards Accurate and Robust Classification in Continuously Transitioning
  Industrial Sprays with Mixup

Sensitivity on Two-Higgs-Doublet Models from Higgs-Pair Production via
  $b\bar{b}b\bar{b}$ Final State

Deep learning-based identification of sub-nuclear structures in FIB-SEM
  images

Feasible Adversarial Robust Reinforcement Learning for Underspecified

ICRICS: Iterative Compensation Recovery for Image Compressive Sensing

New Auction Algorithms for Path Planning, Network Transport, and

A Frequency-Velocity CNN for Developing Near-Surface 2D Vs Images from
  Linear-Array, Active-Source Wavefield Measurements

Towards Robust Multivariate Time-Series Forecasting: Adversarial Attacks
  and Defense Mechanisms

FedNet2Net: Saving Communication and Computations in Federated Learning
  with Model Growing

Enhancing Collaborative Filtering Recommender with Prompt-Based

Machine learning approach in the development of building occupant
  personas

Forget-me-not! Contrastive Critics for Mitigating Posterior Collapse

VisQuiz: Exploring Feedback Mechanisms to Improve Graphical Perception

LR-Net: A Block-based Convolutional Neural Network for Low-Resolution

Knowledge distillation with a class-aware loss for endoscopic disease
  detection

COVID-19 Detection from Respiratory Sounds with Hierarchical Spectrogram

The Dice loss in the context of missing or empty labels: Introducing
  $Φ$ and $ε$

Big Data and Education: using big data analytics in language learning

Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification

ESPnet-SE++: Speech Enhancement for Robust Speech Recognition,
  Translation, and Understanding

Approximation Power of Deep Neural Networks: an explanatory mathematical
  survey

Contributions of Shape, Texture, and Color in Visual Recognition

HSE-NN Team at the 4th ABAW Competition: Multi-task Emotion Recognition
  and Learning from Synthetic Images

COROID: A Crowdsourcing-based Companion Drones to Tackle Current and
  Future Pandemics

SeasoNet: A Seasonal Scene Classification, segmentation and Retrieval
  dataset for satellite Imagery over Germany

Invariant Feature Learning for Generalized Long-Tailed Classification

Comparison of automatic prostate zones segmentation models in MRI images
  using U-net-like architectures

Machine learning approach to genome of two-dimensional materials with
  flat electronic bands

A Convolutional Neural Network Approach to Supernova Time-Series

Deep equilibrium networks are sensitive to initialization statistics

Exploring the configurational space of amorphous graphene with
  machine-learned atomic energies

Critical Evaluation of Resistive Force Theory using a Machine Learning
  Assisted Model

Bounding generalization error with input compression: An empirical study
  with infinite-width networks

A General Wasserstein Framework for Data-driven Distributionally Robust
  Optimization: Tractability and Applications

Image Synthesis with Disentangled Attributes for Chest X-Ray Nodule
  Augmentation and Detection

Green, Quantized Federated Learning over Wireless Networks: An
  Energy-Efficient Design

Multi-Task Learning Framework for Emotion Recognition in-the-wild

On Decentralizing Federated Reinforcement Learning in Multi-Robot
  Scenarios

Beyond Transmitting Bits: Context, Semantics, and Task-Oriented

Riemannian Stochastic Gradient Method for Nested Composition

Online Dynamics Learning for Predictive Control with an Application to
  Aerial Robots

A coherence parameter characterizing generative compressed sensing with
  Fourier measurements

Visual Representation Learning with Transformer: A Sequence-to-Sequence

Uncertainty in Contrastive Learning: On the Predictability of Downstream

Rethinking IoU-based Optimization for Single-stage 3D Object Detection

Multi-parametric Analysis for Mixed Integer Linear Programming: An
  Application to Transmission Planning and Congestion Control

Self-Supervised Interactive Object Segmentation Through a
  Singulation-and-Grasping Approach

Towards Trustworthy Healthcare AI: Attention-Based Feature Learning for
  COVID-19 Screening With Chest Radiography

Contaminant source identification in groundwater by means of artificial
  neural network

A search for dark matter among Fermi-LAT unidentified sources with
  systematic features in Machine Learning

A sharp uniform-in-time error estimate for Stochastic Gradient Langevin
  Dynamics

Data-driven initialization of deep learning solvers for
  Hamilton-Jacobi-Bellman PDEs

Magpie: Automatically Tuning Static Parameters for Distributed File
  Systems using Deep Reinforcement Learning

The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object
  Tracking and Counting

Model independent measurements of Standard Model cross sections with

3D Room Layout Estimation from a Cubemap of Panorama Image via Deep
  Manhattan Hough Transform

Machine-learning applied to classify flow-induced sound parameters from
  simulated human voice

Roughness of molecular property landscapes and its impact on
  modellability

Don't Stop Learning: Towards Continual Learning for the CLIP Model

Abstract Demonstrations and Adaptive Exploration for Efficient and
  Stable Multi-step Sparse Reward Reinforcement Learning

Assaying Out-Of-Distribution Generalization in Transfer Learning

Semi-supervised Predictive Clustering Trees for (Hierarchical)
  Multi-label Classification

Over-the-Air Federated Edge Learning with Hierarchical Clustering

A Deep Learning Framework for Wind Turbine Repair Action Prediction
  Using Alarm Sequences and Long Short Term Memory Algorithms

FLDetector: Defending Federated Learning Against Model Poisoning Attacks
  via Detecting Malicious Clients

Adaptive Learning for the Resource-Constrained Classification Problem

Multimodal hierarchical Variational AutoEncoders with Factor Analysis
  latent space

SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization

Global and Local Features through Gaussian Mixture Models on Image

FedX: Unsupervised Federated Learning with Cross Knowledge Distillation

On the cross-lingual transferability of multilingual prototypical models
  across NLU tasks

Learning Mutual Modulation for Self-Supervised Cross-Modal

On the development of a Bayesian optimisation framework for complex
  unknown systems

On the Usability of Transformers-based models for a French
  Question-Answering task

The application of encoder-decoder neural networks in high accuracy and
  efficiency slit-scan emittance measurements

Heterogeneous Treatment Effect with Trained Kernels of the
  Nadaraya-Watson Regression

ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving
  Cameras in the Wild

Expert-LaSTS: Expert-Knowledge Guided Latent Space for Traffic Scenarios

To update or not to update? Neurons at equilibrium in deep models

Active-Learning-as-a-Service: An Automatic and Efficient MLOps System
  for Data-Centric AI

Complexity of High-Dimensional Identity Testing with Coordinate
  Conditional Sampling

Improved lightweight identification of agricultural diseases based on
  MobileNetV3

Target-Driven Structured Transformer Planner for Vision-Language

ReBoot: Distributed statistical learning via refitting Bootstrap samples

Lazy Estimation of Variable Importance for Large Neural Networks

IDPS Signature Classification with a Reject Option and the Incorporation
  of Expert Knowledge

XG-BoT: An Explainable Deep Graph Neural Network for Botnet Detection
  and Forensics

Is Vertical Logistic Regression Privacy-Preserving? A Comprehensive
  Privacy Analysis and Beyond

Can You Fool AI by Doing a 180? $\unicode{x2013}$ A Case Study on
  Authorship Analysis of Texts by Arata Osada

Generalizing Goal-Conditioned Reinforcement Learning with Variational
  Causal Reasoning

MUD-PQFed: Towards Malicious User Detection in Privacy-Preserving
  Quantized Federated Learning

ILASR: Privacy-Preserving Incremental Learning for Automatic Speech
  Recognition at Production Scale

Multilingual Transformer Encoders: a Word-Level Task-Agnostic Evaluation

Classification of cosmic structures for galaxies with deep learning:
  connecting cosmological simulations with observations

Learning Action Translator for Meta Reinforcement Learning on
  Sparse-Reward Tasks

PiC: A Phrase-in-Context Dataset for Phrase Understanding and Semantic
  Search

Time Is MattEr: Temporal Self-supervision for Video Transformers

A-SFS: Semi-supervised Feature Selection based on Multi-task

Learning quantum dissipation by the neural ordinary differential
  equation

Balanced Contrastive Learning for Long-Tailed Visual Recognition

Don't Forget to Buy Milk: Contextually Aware Grocery Reminder Household
  Robot

RepBNN: towards a precise Binary Neural Network with Enhanced Feature
  Map via Repeating

TTVFI: Learning Trajectory-Aware Transformer for Video Frame

Lateral predictive coding revisited: Internal model, symmetry breaking,
  and response time

ML-BPM: Multi-teacher Learning with Bidirectional Photometric Mixing for
  Open Compound Domain Adaptation in Semantic Segmentation

Decorrelative Network Architecture for Robust Electrocardiogram

Efficient Embedding VNFs in 5G Network Slicing: A Deep Reinforcement

Using Conservation Laws to Infer Deep Learning Model Accuracy of
  Richtmyer-meshkov Instabilities

Indoor Localization for Personalized Ambient Assisted Living of Multiple
  Users in Multi-Floor Smart Environments

Enhancing Security Patch Identification by Capturing Structures in
  Commits

Actionable and Interpretable Fault Localization for Recurring Failures
  in Online Service Systems

Structure-aware Editable Morphable Model for 3D Facial Detail Animation
  and Manipulation

Short-range order and its impacts on the BCC NbMoTaW multi-principal
  element alloy by the machine-learning potential

DESCN: Deep Entire Space Cross Networks for Individual Treatment Effect

ANTI-CARLA: An Adversarial Testing Framework for Autonomous Vehicles in
  CARLA

Knowledge Enhancement and Mobile Technology: Improving Effectiveness and
  Efficiency

Discovering novel systemic biomarkers in photos of the external eye

Structure from Action: Learning Interactions for Articulated Object 3D
  Structure Discovery

Multi-Source AoI-Constrained Resource Minimization under HARQ:
  Heterogeneous Sampling Processes

The Levy-Lieb embedding of density functional theory and its Quantum
  Kernel: Illustration for the Hubbard Dimer using near-term quantum algorithms

Defending Substitution-Based Profile Pollution Attacks on Sequential
  Recommenders

Capabilities, Limitations and Challenges of Style Transfer with
  CycleGANs: A Study on Automatic Ring Design Generation

Training Large-Vocabulary Neural Language Models by Private Federated
  Learning for Resource-Constrained Devices

Selection Bias Induced Spurious Correlations in Large Language Models

DeformIrisNet: An Identity-Preserving Model of Iris Texture Deformation

Calibrated ensembles can mitigate accuracy tradeoffs under distribution
  shift

Superficial White Matter Analysis: An Efficient Point-cloud-based Deep
  Learning Framework with Supervised Contrastive Learning for Consistent
  Tractography Parcellation across Populations and dMRI Acquisitions

ARtonomous: Introducing Middle School Students to Reinforcement Learning
  Through Virtual Robotics

Low Cost Portable Touch Screen Technology Applied to University Teaching

Sensitivity Analysis for Constructing Optimal Treatment Regimes in the
  Presence of Non-compliance and Two Active Treatment Options

Adversarial Training Improves Joint Energy-Based Generative Modelling

Multi-step domain adaptation by adversarial attack to $\mathcal{H}
  Δ\mathcal{H}$-divergence

Gauge-equivariant flow models for sampling in lattice field theories
  with pseudofermions

Robustar: Interactive Toolbox Supporting Precise Data Annotation for
  Robust Vision Learning

Implicit Regularization with Polynomial Growth in Deep Tensor

Learning Sparsity-Promoting Regularizers using Bilevel Optimization

Image to Icosahedral Projection for $\mathrm{SO}(3)$ Object Reasoning
  from Single-View Images

Conditional DETR V2: Efficient Detection Transformer with Box Queries

Benchmarking Machine Learning Robustness in Covid-19 Genome Sequence

On the Study of Sample Complexity for Polynomial Neural Networks

A Deep Reinforcement Learning Approach for Finding Non-Exploitable
  Strategies in Two-Player Atari Games

Point-particle drag, lift, and torque closure models using machine
  learning: hierarchical approach and interpretability

A hierarchical semantic segmentation framework for computer vision-based
  bridge damage detection

Consistent Polyhedral Surrogates for Top-$k$ Classification and Variants

MCTensor: A High-Precision Deep Learning Library with Multi-Component
  Floating-Point

Romanus: Robust Task Offloading in Modular Multi-Sensor Autonomous
  Driving Systems

Prior-Guided Adversarial Initialization for Fast Adversarial Training

RESAM: Requirements Elicitation and Specification for Deep-Learning
  Anomaly Models with Applications to UAV Flight Controllers

TaDaa: real time Ticket Assignment Deep learning Auto Advisor for
  customer support, help desk, and issue ticketing systems

Precision measurements of the zero temperature dielectric constant and
  density of liquid $^4$He

Hidden Progress in Deep Learning: SGD Learns Parities Near the
  Computational Limit

Estimating Continuous Treatment Effects in Panel Data using Machine
  Learning with an Agricultural Application

An Information-Theoretic Analysis of Bayesian Reinforcement Learning

Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs

Implementation of Machine Learning-based DER Local Control Schemes on
  Measurement Devices for Counteracting Communication Failures

Learning High Dimensional Demonstrations Using Laplacian Eigenmaps

Deep Learning Potential of Mean Force between Polymer Grafted
  Nanoparticles

Label2Label: A Language Modeling Framework for Multi-Attribute Learning

Learning differentiable solvers for systems with hard constraints

Back to the Manifold: Recovering from Out-of-Distribution States

The Multiple Subnetwork Hypothesis: Enabling Multidomain Learning by
  Isolating Task-Specific Subnetworks in Feedforward Neural Networks

Accelerating Deep Learning Model Inference on Arm CPUs with Ultra-Low
  Bit Quantization and Runtime

Learning useful representations for radio astronomy "in the wild" with

Drug prescription clusters in the UK Biobank: An assessment of drug-drug
  interactions and patient outcomes in a large patient cohort

Spectroscopy from Machine Learning by Accurately Representing the Atomic
  Polar Tensor

An Enhanced Graph Representation for Machine Learning Based Automatic
  Intersection Management

Leveraging Action Affinity and Continuity for Semi-supervised Temporal
  Action Segmentation

Boolean Decision Rules for Reinforcement Learning Policy Summarisation

Upper Limb Movement Recognition utilising EEG and EMG Signals for
  Rehabilitative Robotics

Interpolation, extrapolation, and local generalization in common neural
  networks

Machine-learning accelerated identification of exfoliable
  two-dimensional materials

A Sublinear-Time Quantum Algorithm for Approximating Partition Functions

Latent Partition Implicit with Surface Codes for 3D Representation

FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity
  in Data-Efficient GANs

Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural
  Networks

ExAgt: Expert-guided Augmentation for Representation Learning of Traffic
  Scenarios

Abstraction between Structural Causal Models: A Review of Definitions
  and Properties

Learning Correspondency in Frequency Domain by a Latent-Space Similarity
  Loss for Multispectral Pansharpening

Symmetrized Robust Procrustes: Constant-Factor Approximation and Exact
  Recovery

The Brain-Inspired Decoder for Natural Visual Image Reconstruction

Towards a General Pre-training Framework for Adaptive Learning in MOOCs

Study of the performance and scalability of federated learning for
  medical imaging with intermittent clients

SeLoC-ML: Semantic Low-Code Engineering for Machine Learning
  Applications in Industrial IoT

DHGE: Dual-view Hyper-Relational Knowledge Graph Embedding for Link
  Prediction and Entity Typing

A Certifiable Security Patch for Object Tracking in Self-Driving Systems
  via Historical Deviation Modeling

Online Total Completion Time Scheduling on Parallel Identical Machines

GATE: Gated Additive Tree Ensemble for Tabular Classification and
  Regression

Hardware-agnostic Computation for Large-scale Knowledge Graph Embeddings

Multi-block-Single-probe Variance Reduced Estimator for Coupled
  Compositional Optimization

The Vocal Signature of Social Anxiety: Exploration using
  Hypothesis-Testing and Machine-Learning Approaches

BrainCog: A Spiking Neural Network based Brain-inspired Cognitive
  Intelligence Engine for Brain-inspired AI and Brain Simulation

DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection

Angular Gap: Reducing the Uncertainty of Image Difficulty through Model

Research Trends and Applications of Data Augmentation Algorithms

Explainable Deep Belief Network based Auto encoder using novel Extended
  Garson Algorithm

Detection of Poisoning Attacks with Anomaly Detection in Federated
  Learning for Healthcare Applications: A Machine Learning Approach

Discovering Behavioral Predispositions in Data to Improve Human Activity

wPINNs: Weak Physics informed neural networks for approximating entropy
  solutions of hyperbolic conservation laws

Towards Automated Classification of Attackers' TTPs by combining NLP
  with ML Techniques

High-Order Conditional Mutual Information Maximization for dealing with
  High-Order Dependencies in Feature Selection

Segmenting white matter hyperintensities on isotropic three-dimensional
  Fluid Attenuated Inversion Recovery magnetic resonance images: A comparison
  of Deep learning tools on a Norwegian national imaging database

Multi-dimension Geospatial feature learning for urban region function

Open-world Semantic Segmentation via Contrasting and Clustering
  Vision-Language Embedding

CTL-MTNet: A Novel CapsNet and Transfer Learning-Based Mixed Task Net
  for the Single-Corpus and Cross-Corpus Speech Emotion Recognition

Automatic universal taxonomies for multi-domain semantic segmentation

Robust Simulation-Based Inference in Cosmology with Bayesian Neural
  Networks

Why do tree-based models still outperform deep learning on tabular data?

Fast Convergence of Optimistic Gradient Ascent in Network Zero-Sum
  Extensive Form Games

Real-time End-to-End Video Text Spotter with Contrastive Representation
  Learning

Multi-head Cascaded Swin Transformers with Attention to k-space Sampling
  Pattern for Accelerated MRI Reconstruction

TokenMix: Rethinking Image Mixing for Data Augmentation in Vision

Kullback-Leibler and Renyi divergences in reproducing kernel Hilbert
  space and Gaussian process settings

GLEAM: Greedy Learning for Large-Scale Accelerated MRI Reconstruction

Federated Learning for Non-IID Data via Client Variance Reduction and
  Adaptive Server Update

Vertical GaN Diode BV Maximization through Rapid TCAD Simulation and
  ML-enabled Surrogate Model

Supervised Contrastive ResNet and Transfer Learning for the In-vehicle
  Intrusion Detection System

PBRE: A Rule Extraction Method from Trained Neural Networks Designed for
  Smart Home Services

Visual Representations of Physiological Signals for Fake Video Detection

Inspector: Pixel-Based Automated Game Testing via Exploration,
  Detection, and Investigation

PerfCE: Performance Debugging on Databases with Chaos
  Engineering-Enhanced Causality Analysis

Protecting Global Properties of Datasets with Distribution Privacy
  Mechanisms

Audio Input Generates Continuous Frames to Synthesize Facial Video Using
  Generative Adiversarial Networks

Learning Knowledge Representation with Meta Knowledge Distillation for
  Single Image Super-Resolution

Retweet-BERT: Political Leaning Detection Using Language Features and
  Information Diffusion on Social Networks

A Few Expert Queries Suffices for Sample-Efficient RL with Resets and
  Linear Value Approximation

GANzilla: User-Driven Direction Discovery in Generative Adversarial
  Networks

Defect Transformer: An Efficient Hybrid Transformer Architecture for
  Surface Defect Detection

Molecular-orbital-based Machine Learning for Open-shell and
  Multi-reference Systems with Kernel Addition Gaussian Process Regression

CULT: Continual Unsupervised Learning with Typicality-Based Environment
  Detection

Spatial Distribution of Solar PV Deployment: An Application of the
  Region-Based Convolutional Neural Network

Less Training, More Repairing Please: Revisiting Automated Program
  Repair via Zero-shot Learning

Gigapixel Whole-Slide Images Classification using Locally Supervised
  Learning

Robust Action Governor for Uncertain Piecewise Affine Systems with
  Non-convex Constraints and Safe Reinforcement Learning

Guaranteed Discovery of Controllable Latent States with Multi-Step
  Inverse Models

Fusion of Physiological and Behavioural Signals on SPD Manifolds with
  Application to Stress and Pain Detection

Fast-MoCo: Boost Momentum-based Contrastive Learning with Combinatorial
  Patches

Gradients should stay on Path: Better Estimators of the Reverse- and
  Forward KL Divergence for Normalizing Flows

Fast Composite Optimization and Statistical Recovery in Federated
  Learning

Uncertainty Calibration in Bayesian Neural Networks via Distance-Aware
  Priors

SPIRAL: A Superlinearly Convergent Incremental Proximal Algorithm for
  Nonconvex Finite Sum Minimization

BusyBot: Learning to Interact, Reason, and Plan in a BusyBoard

Supplementing Recurrent Neural Networks with Annealing to Solve
  Optimization Problems

Federated Self-Supervised Learning in Heterogeneous Settings: Limits of
  a Baseline Approach on HAR

Mind the Gap: Polishing Pseudo labels for Accurate Semi-supervised

A Study of Deep CNN Model with Labeling Noise Based on Granular-ball
  Computing

Federated Continual Learning through distillation in pervasive computing

Federated Learning and catastrophic forgetting in pervasive computing:
  demonstration in HAR domain

Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal

Self-Supervised-RCNN for Medical Image Segmentation with Limited Data

Statistical model for describing heart rate variability in normal rhythm
  and atrial fibrillation

Context sequence theory: a common explanation for multiple types of
  learning

FashionViL: Fashion-Focused Vision-and-Language Representation Learning

Improving Deep Neural Network Random Initialization Through Neuronal
  Rewiring

Multi-Task and Transfer Learning for Federated Learning Applications

Coupling Adversarial Learning with Selective Voting Strategy for
  Distribution Alignment in Partial Domain Adaptation

Achieve Optimal Adversarial Accuracy for Adversarial Deep Learning using
  Stackelberg Game

Discover Life Skills for Planning with Bandits via Observing and
  Learning How the World Works

Multi-channel target speech enhancement based on ERB-scaled spatial
  coherence features

Source-free Unsupervised Domain Adaptation for Blind Image Quality

Replacing the Framingham-based equation for prediction of cardiovascular
  disease risk and adverse outcome by using artificial intelligence and retinal
  imaging

BCS-Net: Boundary, Context and Semantic for Automatic COVID-19 Lung
  Infection Segmentation from CT Images

Conditional Colour-Magnitude Distribution of Central Galaxies in Galaxy
  Formation Models

Security Evaluation of Compressible Image Encryption for
  Privacy-Preserving Image Classification against Ciphertext-only Attacks

A Multibias-mitigated and Sentiment Knowledge Enriched Transformer for
  Debiasing in Multimodal Conversational Emotion Recognition

Aspect-specific Context Modeling for Aspect-based Sentiment Analysis

Model-Agnostic and Diverse Explanations for Streaming Rumour Graphs

Learning from Temporal Spatial Cubism for Cross-Dataset Skeleton-based

Performance degradation of ImageNet trained models by simple image

RIS-Assisted MIMO Communication Systems: Model-based versus Autoencoder

Contextual Similarity is More Valuable than Character Similarity: An
  Empirical Study for Chinese Spell Checking

Balancing Accuracy and Integrity for Reconfigurable Intelligent
  Surface-aided Over-the-Air Federated Learning

Federated Deep Reinforcement Learning for RIS-Assisted Indoor
  Multi-Robot Communication Systems

SatMAE: Pre-training Transformers for Temporal and Multi-Spectral

Repairing Systematic Outliers by Learning Clean Subspaces in VAEs

Risk-averse Stochastic Optimization for Farm Management Practices and
  Cultivar Selection Under Uncertainty

MDM: Multiple Dynamic Masks for Visual Explanation of Neural Networks

DIMBA: Discretely Masked Black-Box Attack in Single Object Tracking

Reinforcement Learning For Survival, A Clinically Motivated Method For
  Critically Ill Patients

A Singular Woodbury and Pseudo-Determinant Matrix Identities and
  Application to Gaussian Process Regression

Single MR Image Super-Resolution using Generative Adversarial Network

A Convolutional Attention Based Deep Network Solution for UAV Network
  Attack Recognition over Fading Channels and Interference

Rewiring Networks for Graph Neural Network Training Using Discrete
  Geometry

LAVA: Language Audio Vision Alignment for Contrastive Video Pre-Training

Distance-Geometric Graph Attention Network (DG-GAT) for 3D Molecular
  Geometry

Sampling of the Wiener Process for Remote Estimation over a Channel with
  Unknown Delay Statistics

Collaborative Best Arm Identification with Limited Communication on

Meta-Referential Games to Learn Compositional Learning Behaviours

SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video

EEG2Vec: Learning Affective EEG Representations via Variational

Signed Cumulative Distribution Transform for Parameter Estimation of 1-D
  Signals

A tool for emulating neuromorphic architectures with memristive models
  and devices

One-Step Time Series Forecasting Using Variational Quantum Circuits

Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain
  Few-Shot Facial Expression Recognition

Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image
  Synthesis

Building Trust: Lessons from the Technion-Rambam Machine Learning in
  Healthcare Datathon Event

FastML Science Benchmarks: Accelerating Real-Time Scientific Edge

A Comprehensive Vision on Cloud Computing Environment: Emerging
  Challenges and Future Research Directions

MixTailor: Mixed Gradient Aggregation for Robust Learning Against
  Tailored Attacks

Visually-aware Acoustic Event Detection using Heterogeneous Graphs

Multimodal Dialog Systems with Dual Knowledge-enhanced Generative
  Pretrained Language Model

Learnable Mixed-precision and Dimension Reduction Co-design for
  Low-storage Activation

Towards Lightweight Super-Resolution with Dual Regression Learning

Learning Quality-aware Dynamic Memory for Video Object Segmentation

CNN-based Euler's Elastica Inpainting with Deep Energy and Deep Image
  Prior

Physics Embedded Neural Network Vehicle Model and Applications in
  Risk-Aware Autonomous Driving Using Latent Features

Explainable vision transformer enabled convolutional neural network for
  plant disease identification: PlantXViT

Dual-branch Hybrid Learning Network for Unbiased Scene Graph Generation

Unsupervised Ensemble Based Deep Learning Approach for Attack Detection
  in IoT Network

Mutual Adaptive Reasoning for Monocular 3D Multi-Person Pose Estimation

SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object
  Detection

Transfer learning for time series classification using synthetic data

Cross Vision-RF Gait Re-identification with Low-cost RGB-D Cameras and
  mmWave Radars

JPerceiver: Joint Perception Network for Depth, Pose and Layout
  Estimation in Driving Scenes

Multi-Modal Unsupervised Pre-Training for Surgical Operating Room
  Workflow Analysis

SizeShiftReg: a Regularization Method for Improving Size-Generalization
  in Graph Neural Networks

An Experimental Evaluation of Machine Learning Training on a Real
  Processing-in-Memory System

Clover: Towards A Unified Video-Language Alignment and Fusion Model

Neural Modal ODEs: Integrating Physics-based Modeling with Neural ODEs
  for Modeling High Dimensional Monitored Structures

On the Importance of Hyperparameters and Data Augmentation for

Model-Aware Contrastive Learning: Towards Escaping Uniformity-Tolerance
  Dilemma in Training

CLOSE: Curriculum Learning On the Sharing Extent Towards Better One-shot
  NAS

Deep Set Classifier for Financial Forensics: An application to detect
  money laundering

Deep Learning and Its Applications to WiFi Human Sensing: A Benchmark
  and A Tutorial

The Lottery Ticket Hypothesis for Self-attention in Convolutional Neural
  Network

TS2-Net: Token Shift and Selection Transformer for Text-Video Retrieval

Learning Near-global-optimal Strategies for Hybrid Non-convex Model
  Predictive Control of Single Rigid Body Locomotion

Class-Incremental Lifelong Learning in Multi-Label Classification

Complementary Semi-Deterministic Clusters for Realistic Statistical
  Channel Models for Positioning

Dynamic Bipedal Maneuvers through Sim-to-Real Reinforcement Learning

Approximation Capabilities of Neural Networks using Morphological
  Perceptrons and Generalizations

Structural Prior Guided Generative Adversarial Transformers for
  Low-Light Image Enhancement

Generalizable Memory-driven Transformer for Multivariate Long Sequence
  Time-series Forecasting

Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and
  Aligned Representations

ChronosPerseus: Randomized Point-based Value Iteration with Importance
  Sampling for POSMDPs

Adaptive Sketches for Robust Regression with Importance Sampling

On Scheduling Ring-All-Reduce Learning Jobs in Multi-Tenant GPU Clusters
  with Communication Contention

Sotto Voce: Federated Speech Recognition with Differential Privacy

Interatomic force from neural network based variational quantum Monte
  Carlo

CHARM: A Hierarchical Deep Learning Model for Classification of Complex
  Human Activities Using Motion Sensors

Low-Energy Electron-Track Imaging for a Liquid Argon
  Time-Projection-Chamber Telescope Concept using Probabilistic Deep Learning

Masked Spatial-Spectral Autoencoders Are Excellent Hyperspectral
  Defenders

Learning Granularity-Unified Representations for Text-to-Image Person

Statistically Characterising Robustness and Fidelity of Quantum Controls
  and Quantum Control Algorithms

Towards the Desirable Decision Boundary by Moderate-Margin Adversarial
  Training

A Machine Learning Approach for Driver Identification Based on CAN-BUS
  Sensor Data

Associative Memory Based Experience Replay for Deep Reinforcement
  Learning

BCRLSP: An Offline Reinforcement Learning Framework for Sequential
  Targeted Promotion

QuaDUE-CCM: Interpretable Distributional Reinforcement Learning using
  Uncertain Contraction Metrics for Precise Quadrotor Trajectory Tracking

Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection

DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust
  Setting

Segment-level Metric Learning for Few-shot Bioacoustic Event Detection

Anomalous behaviour in loss-gradient based interpretability methods

ESFPNet: efficient deep learning architecture for real-time lesion
  segmentation in autofluorescence bronchoscopic video

Physics-Aware Neural Networks for Boundary Layer Linear Problems

Do Not Sleep on Linear Models: Simple and Interpretable Techniques
  Outperform Deep Learning for Sleep Scoring

MARLAS: Multi Agent Reinforcement Learning for cooperated Adaptive
  Sampling

Bootstrap State Representation using Style Transfer for Better
  Generalization in Deep Reinforcement Learning

GLIN: A Lightweight Learned Indexing Mechanism for Complex Geometries

HOME: High-Order Mixed-Moment-based Embedding for Representation
  Learning

Adversarial Focal Loss: Asking Your Discriminator for Hard Examples

Distributed Learning of Neural Lyapunov Functions for Large-Scale
  Networked Dissipative Systems

How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on
  Continual Learning and Functional Composition

More Data Can Lead Us Astray: Active Data Acquisition in the Presence of
  Label Bias

Temporal Forward-Backward Consistency, Not Residual Error, Measures the
  Prediction Accuracy of Extended Dynamic Mode Decomposition

Outcome-Guided Counterfactuals for Reinforcement Learning Agents from a
  Jointly Trained Generative Latent Space

Introducing Federated Learning into Internet of Things ecosystems --
  preliminary considerations

POET: Training Neural Networks on Tiny Devices with Integrated
  Rematerialization and Paging

Algorithmic Determination of the Combinatorial Structure of the Linear
  Regions of ReLU Neural Networks

Towards Understanding Confusion and Affective States Under Communication
  Failures in Voice-Based Human-Machine Interaction

Support Vector Machines with the Hard-Margin Loss: Optimal Training via
  Combinatorial Benders' Cuts

Strict baselines for Covid-19 forecasting and ML perspective for USA and
  Russia

Hierarchical Bayesian inference of photometric redshifts with stellar
  population synthesis models

Quantum simulations of time travel can power nonclassical metrology

Multimodal Open-Vocabulary Video Classification via Pre-Trained Vision

A Probabilistic Autoencoder for Type Ia Supernovae Spectral Time Series

Is a Caption Worth a Thousand Images? A Controlled Study for

GUSOT: Green and Unsupervised Single Object Tracking for Long Video
  Sequences

Computing-In-Memory Neural Network Accelerators for Safety-Critical
  Systems: Can Small Device Variations Be Disastrous?

Feed-Forward Source-Free Latent Domain Adaptation via Cross-Attention

Blessing of Nonconvexity in Deep Linear Models: Depth Flattens the
  Optimization Landscape Around the True Solution

DOLPHINS: Dataset for Collaborative Perception enabled Harmonious and
  Interconnected Self-driving

Image and Texture Independent Deep Learning Noise Estimation using
  Multiple Frames

ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal
  Feature Learning

A two-step machine learning approach to statistical post-processing of
  weather forecasts for power generation

This is the Way: Differential Bayesian Filtering for Agile Trajectory
  Synthesis

Outlier detection of vital sign trajectories from COVID-19 patients

The Nature of Temporal Difference Errors in Multi-step Distributional

VTrackIt: A Synthetic Self-Driving Dataset with Infrastructure and
  Pooled Vehicle Information

CheXplaining in Style: Counterfactual Explanations for Chest X-rays
  using StyleGAN

Pick your Neighbor: Local Gauss-Southwell Rule for Fast Asynchronous
  Decentralized Optimization

3DVerifier: Efficient Robustness Verification for 3D Point Cloud Models

Modeling Quality and Machine Learning Pipelines through Extended Feature
  Models

Heuristic-free Optimization of Force-Controlled Robot Search Strategies
  in Stochastic Environments

Bi-PointFlowNet: Bidirectional Learning for Point Cloud Based Scene Flow

Short-Term Trajectory Prediction for Full-Immersive Multiuser Virtual
  Reality with Redirected Walking

On the Usefulness of Deep Ensemble Diversity for Out-of-Distribution
  Detection

Augmenting Softmax Information for Selective Classification with
  Out-of-Distribution Data

Low-bit Shift Network for End-to-End Spoken Language Understanding

Communication-Efficient Diffusion Strategy for Performance Improvement
  of Federated Learning with Non-IID Data

On the Kinetic Energy Density Functional: The Limit of the Density
  Derivative Order

NFDLM: A Lightweight Network Flow based Deep Learning Model for DDoS
  Attack Detection in IoT Domains

A Systematic Review and Replicability Study of BERT4Rec for Sequential

The Mechanical Neural Network(MNN) -- A physical implementation of a
  multilayer perceptron for education and hands-on experimentation

Knowledge Transfer and Distillation from Autoregressive to
  Non-Autoregressive Speech Recognition

USegScene: Unsupervised Learning of Depth, Optical Flow and Ego-Motion
  with Semantic Guidance and Coupled Networks

Deep Hedging: Continuous Reinforcement Learning for Hedging of General
  Portfolios across Multiple Risk Aversions

Towards unsupervised assessment with open-source data of the accuracy of
  deep learning-based distributed PV mapping

Creating an Explainable Intrusion Detection System Using Self Organizing
  Maps

Joint Application of the Target Trial Causal Framework and Machine
  Learning Modeling to Optimize Antibiotic Therapy: Use Case on Acute Bacterial
  Skin and Skin Structure Infections due to Methicillin-resistant
  Staphylococcus aureus

Multi-Object Tracking and Segmentation via Neural Message Passing

Toward reliable signals decoding for electroencephalogram: A benchmark
  study to EEGNeX

Learning Flexible Translation between Robot Actions and Language
  Descriptions

Continual Learning For On-Device Environmental Sound Classification

Automatic detection of equiaxed dendrites using computer vision neural
  networks

LapSeg3D: Weakly Supervised Semantic Segmentation of Point Clouds
  Representing Laparoscopic Scenes

Plex: Towards Reliability using Pretrained Large Model Extensions

PodcastMix: A dataset for separating music and speech in podcasts

An Approach for Link Prediction in Directed Complex Networks based on
  Asymmetric Similarity-Popularity

FRAS: Federated Reinforcement Learning empowered Adaptive Point Cloud
  Video Streaming

Machine learning applications for weather and climate need greater focus
  on extremes

ChoreoGraph: Music-conditioned Automatic Dance Choreography over a Style
  and Tempo Consistent Dynamic Graph

Trainable Joint Bilateral Filters for Enhanced Prediction Stability in
  Low-dose CT

Error analysis for deep neural network approximations of parametric
  hyperbolic conservation laws

Realistic mask generation for matter-wave lithography via machine
  learning

Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an
  Auxiliary Space

Feasibility of Inconspicuous GAN-generated Adversarial Patches against

Context-sensitive neocortical neurons transform the effectiveness and
  efficiency of neural information processing

Learning Parallax Transformer Network for Stereo Image JPEG Artifacts
  Removal

Rain Rate Estimation with SAR using NEXRAD measurements with

On the Construction of Averaged Deep Denoisers for Image Regularization

Privacy-Preserving Face Recognition with Learnable Privacy Budgets in
  Frequency Domain

Z-Index at CheckThat! Lab 2022: Check-Worthiness Identification on Tweet
  Text

MIMO-DoAnet: Multi-channel Input and Multiple Outputs DoA Network with
  Unknown Number of Sound Sources

Towards Better Dermoscopic Image Feature Representation Learning for
  Melanoma Classification

Robust Deep Compressive Sensing with Recurrent-Residual Structural

Direction-Aware Adaptive Online Neural Speech Enhancement with an
  Augmented Reality Headset in Real Noisy Conversational Environments

PASS: Parameters Audit-based Secure and Fair Federated Learning Scheme
  against Free Rider

A Simulation Study of Functional Electrical Stimulation for An Upper
  Limb Rehabilitation Robot using Iterative Learning Control (ILC) and Linear
  models

X-CLIP: End-to-End Multi-grained Contrastive Learning for Video-Text
  Retrieval

Boosting Multi-Modal E-commerce Attribute Value Extraction via Unified
  Learning Scheme and Dynamic Range Minimization

Machine Learning Prediction of COVID-19 Severity Levels From Salivaomics
  Data

Direction-Aware Joint Adaptation of Neural Speech Enhancement and
  Recognition in Real Multiparty Conversational Environments

Set-based value operators for non-stationary Markovian environments

Accelerated Probabilistic Marching Cubes by Deep Learning for
  Time-Varying Scalar Ensembles

Improving Task-free Continual Learning by Distributionally Robust Memory
  Evolution

Modeling Non-Cooperative Dialogue: Theoretical and Empirical Insights

On the Super-exponential Quantum Speedup of Equivariant Quantum Machine
  Learning Algorithms with SU($d$) Symmetry

PowerFDNet: Deep Learning-Based Stealthy False Data Injection Attack
  Detection for AC-model Transmission Systems

Suppressing Poisoning Attacks on Federated Learning for Medical Imaging

Unrolled Optimization with Deep Learning-based Priors for Phaseless

Classification of Bark Beetle-Induced Forest Tree Mortality using Deep
  Learning

Emotion Recognition in Conversation using Probabilistic Soft Logic

Single Model Uncertainty Estimation via Stochastic Data Centering

Accelerated Federated Learning with Decoupled Adaptive Optimization

Assortment Optimization with Customer Choice Modeling in a Crowdfunding
  Setting

Attention, Filling in The Gaps for Generalization in Routing Problems

EVE: Environmental Adaptive Neural Network Models for Low-power Energy
  Harvesting System

Current Trends in Deep Learning for Earth Observation: An Open-source
  Benchmark Arena for Image Classification

NASRec: Weight Sharing Neural Architecture Search for Recommender
  Systems

Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling
  Model

Learning Embedded Representation of the Stock Correlation Matrix using
  Graph Machine Learning

Causal Graphs Underlying Generative Models: Path to Learning with
  Limited Data

Image Clustering with Contrastive Learning and Multi-scale Graph
  Convolutional Networks

Machine Learning to Generate Adjustable Dose Distributions in
  Head-and-Neck Cancer Radiation Therapy

Estimating Emotion Contagion on Social Media via Localized Diffusion in
  Dynamic Graphs

Reduced Order Model for Chemical Kinetics: A case study with Primordial
  Chemical Network

Making Linear MDPs Practical via Contrastive Representation Learning

Continuous-time Analysis for Variational Inequalities: An Overview and
  Desiderata

Benchmarking Omni-Vision Representation through the Lens of Visual
  Realms

A Personalized Zero-Shot ECG Arrhythmia Monitoring System: From Sparse
  Representation Based Domain Adaption to Energy Efficient Abnormal Beat
  Detection for Practical ECG Surveillance

Inverse Resource Rational Based Stochastic Driver Behavior Model

Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated
  Neural Text Retrievers

Efficient spike encoding algorithms for neuromorphic speech recognition

Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey

On the Strong Correlation Between Model Invariance and Generalization

Semi-Supervised Temporal Action Detection with Proposal-Free Masking

How do tuna schools associate to dFADs? A study using echo-sounder buoys
  to identify global patterns

Multi-Agent Deep Reinforcement Learning-Driven Mitigation of Adverse
  Effects of Cyber-Attacks on Electric Vehicle Charging Station

From Shapley back to Pearson: Hypothesis Testing via the Shapley Value

Early Detection of Ovarian Cancer by Wavelet Analysis of Protein Mass
  Spectra

MedFuse: Multi-modal fusion with clinical time-series data and chest
  X-ray images

Accurate Ground-Truth Depth Image Generation via Overfit Training of
  Point Cloud Registration using Local Frame Sets

Tree Structure-Aware Few-Shot Image Classification via Hierarchical

ObjectBox: From Centers to Boxes for Anchor-Free Object Detection

Learning Discriminative Representation via Metric Learning for
  Imbalanced Medical Image Classification

Scene Text Recognition with Permuted Autoregressive Sequence Models

Spatiotemporal Propagation Learning for Network-Wide Flight Delay

Proceedings of the ICML 2022 Expressive Vocalizations Workshop and
  Competition: Recognizing, Generating, and Personalizing Vocal Bursts

Learning Implicit Templates for Point-Based Clothed Human Modeling

Using Model-Based Trees with Boosting to Fit Low-Order Functional ANOVA
  Models

Seeking the Truth Beyond the Data. An Unsupervised Machine Learning
  Approach

Insurgency as Complex Network: Image Co-Appearance and Hierarchy in the
  PKK

Differentially Private Graph Learning via Sensitivity-Bounded
  Personalized PageRank

Uncertainty quantification for predictions of atomistic neural networks

Beware the Rationalization Trap! When Language Model Explainability
  Diverges from our Mental Models of Language

Distance Learner: Incorporating Manifold Prior to Model Training

Multilinguals at SemEval-2022 Task 11: Complex NER in Semantically
  Ambiguous Settings for Low Resource Languages

BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen

Deep versus Wide: An Analysis of Student Architectures for Task-Agnostic
  Knowledge Distillation of Self-Supervised Speech Models

RSD-GAN: Regularized Sobolev Defense GAN Against Speech-to-Text

Covy: An AI-powered Robot with a Compound Vision System for Detecting
  Breaches in Social Distancing

Neural Data-to-Text Generation Based on Small Datasets: Comparing the
  Added Value of Two Semi-Supervised Learning Approaches on Top of a Large
  Language Model

Instance Selection Mechanisms for Human-in-the-Loop Systems in Few-Shot
  Learning

Pose-based Tremor Classification for Parkinson's Disease Diagnosis from
  Video

Point-to-Box Network for Accurate Object Detection via Single Point

DEXTER: An end-to-end system to extract table contents from electronic
  medical health documents

Tutorial on the development of AI models for medical image analysis

Anomal-E: A Self-Supervised Network Intrusion Detection System based on

Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for

In-memory Realization of In-situ Few-shot Continual Learning with a
  Dynamically Evolving Explicit Memory

GrabQC: Graph based Query Contextualization for automated ICD coding

Explainable Sparse Knowledge Graph Completion via High-order Graph
  Reasoning Network

The Quasar Candidates Catalogs of DESI Legacy Imaging Survey Data
  Release 9

Inertial Hallucinations -- When Wearable Inertial Devices Start Seeing
  Things

Few-shot bioacoustic event detection at the DCASE 2022 challenge

Virtual reality (VR) as a testing bench for consumer optical solutions:
  A machine learning approach (GBR) to visual comfort under simulated
  progressive addition lenses (PALS) distortions

GeoSegNet: Point Cloud Semantic Segmentation via Geometric
  Encoder-Decoder Modeling

Work In Progress: Safety and Robustness Verification of
  Autoencoder-Based Regression Models using the NNV Tool

E2-AEN: End-to-End Incremental Learning with Adaptively Expandable
  Network

Single-Pixel Image Reconstruction Based on Block Compressive Sensing and

Differentiable Logics for Neural Network Training and Verification

ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in
  Pathology Images

problexity -- an open-source Python library for binary classification
  problem complexity assessment

MDEAW: A Multimodal Dataset for Emotion Analysis through EDA and PPG
  signals from wireless wearable low-cost off-the-shelf Devices

Improved OOD Generalization via Conditional Invariant Regularizer

Subgraph Frequency Distribution Estimation using Graph Neural Networks

Deep Learning Methods for Protein Family Classification on PDB
  Sequencing Data

A Meta-learning Formulation of the Autoencoder Problem for Non-linear
  Dimensionality Reduction

Reinforced Path Reasoning for Counterfactual Explainable Recommendation

Detecting Volunteer Cotton Plants in a Corn Field with Deep Learning on
  UAV Remote-Sensing Imagery

Large-scale Knowledge Distillation with Elastic Heterogeneous Computing
  Resources

Integrated Finite Element Neural Network (I-FENN) for non-local
  continuum damage mechanics

Deep Point-to-Plane Registration by Efficient Backpropagation for Error
  Minimizing Function

Forcing the Whole Video as Background: An Adversarial Learning Strategy
  for Weakly Temporal Action Localization

Combing for Credentials: Active Pattern Extraction from Smart Reply

Improving the Accuracy of Marginal Approximations in Likelihood-Free
  Inference via Localisation

Prototypical Contrast Adaptation for Domain Adaptive Semantic

Everyone's Preference Changes Differently: Weighted Multi-Interest
  Retrieval Model

Have we been Naive to Select Machine Learning Models? Noisy Data are
  here to Stay!

PIAT: Physics Informed Adversarial Training for Solving Partial

DropNet: Reducing Neural Network Complexity via Iterative Pruning

A DNS Tunnel Sliding Window Differential Detection Method Based on
  Normal Distribution Reasonable Range Filtering

Identifying Orientation-specific Lipid-protein Fingerprints using Deep
  Learning

Antibody-Antigen Docking and Design via Hierarchical Equivariant
  Refinement

Demonstration of a bosonic quantum classifier with data re-uploading

T-RECX: Tiny-Resource Efficient Convolutional Neural Networks with
  Early-Exit

Visuo-Tactile Manipulation Planning Using Reinforcement Learning with
  Affordance Representation

Few-Shot Specific Emitter Identification via Deep Metric Ensemble
  Learning

Attention: Not Just Another Dataset for Patch-Correctness Checking

Machine Learning for Galactic Archaeology: A chemistry-based neural
  network method for identification of accreted disc stars

Proposal-Free Temporal Action Detection via Global Segmentation Mask
  Learning

Soil Erosion in the United States. Present and Future (2020-2050)

Virtual stain transfer in histology via cascaded deep neural networks

i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight
  Human-Robot Interaction Loops

Improving the diagnosis of breast cancer based on biophysical ultrasound
  features utilizing machine learning

Scalable Model-based Policy Optimization for Decentralized Networked
  Systems

Supervised Attribute Information Removal and Reconstruction for Image

Streamlining Visualization Authoring in D3 Through User-Driven Templates

Volatility Based Kernels and Moving Average Means for Accurate
  Forecasting with Gaussian Processes

CoSCL: Cooperation of Small Continual Learners is Stronger than a Big
  One

Self-Play PSRO: Toward Optimal Populations in Two-Player Zero-Sum Games

Scheduling Out-of-Coverage Vehicular Communications Using Reinforcement
  Learning

Reachability Analysis of a General Class of Neural Ordinary Differential
  Equations

A Deep Learning-Based GPR Forward Solver for Predicting B-Scans of
  Subsurface Objects

Quantum computing fidelity susceptibility using automatic
  differentiation

PhishSim: Aiding Phishing Website Detection with a Feature-Free Tool

Automated Cause Analysis of Latency Outliers Using System-Level
  Dependency Graphs

A Generalized Framework for Microstructural Optimization using Neural
  Networks

One Model to Unite Them All: Personalized Federated Learning of
  Multi-Contrast MRI Synthesis

A Coupling Approach to Analyzing Games with Dynamic Environments

Randomly pivoted Cholesky: Practical approximation of a kernel matrix
  with few entry evaluations

Approximate Nash Equilibrium Learning for n-Player Markov Games in
  Dynamic Pricing

A Data-Efficient Deep Learning Framework for Segmentation and
  Classification of Histopathology Images

Rich Feature Distillation with Feature Affinity Module for Efficient
  Image Dehazing

Quantum Metropolis Solver: A Quantum Walks Approach to Optimization
  Problems

Uncertainty quantification in mechanistic epidemic models via
  cross-entropy approximate Bayesian computation

Graph CNN for Moving Object Detection in Complex Environments from
  Unseen Videos

Reconstruction of Time-varying Graph Signals via Sobolev Smoothness

Sub 8-Bit Quantization of Streaming Keyword Spotting Models for Embedded
  Chipsets

ProDiff: Progressive Fast Diffusion Model For High-Quality

Markovian Foundations for Quasi-Stochastic Approximation with
  Applications to Extremum Seeking Control

Iterative Linear Quadratic Optimization for Nonlinear Control:
  Differentiable Programming Algorithmic Templates

Joint Prediction of Monocular Depth and Structure using Planar and
  Parallax Geometry

Polyphonic sound event detection for highly dense birdsong scenes

You Only Align Once: Bidirectional Interaction for Spatial-Temporal
  Video Super-Resolution

TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent
  Kernels

Jackknife Variability Estimation For Randomized Matrix Computations

QT-Routenet: Improved GNN generalization to larger 5G networks by
  fine-tuning predictions from queueing theory

Deep Learning Discovery of Demographic Biomarkers in Echocardiography

Improved $α$-GAN architecture for generating 3D connected volumes
  with an application to radiosurgery treatment planning

GAN with an Auxiliary Regressor for the Fast Simulation of the
  Electromagnetic Calorimeter Response

Linear regression with unmatched data: a deconvolution perspective

Dynamic Car Dispatching and Pricing: Revenue and Fairness for
  Ridesharing Platforms

Majorization-minimization for Sparse Nonnegative Matrix Factorization
  with the $β$-divergence

Implicit Neural Representations for Generative Modeling of Living Cell
  Shapes

DiverGet: A Search-Based Software Testing Approach for Deep Neural
  Network Quantization Assessment

ACLNet: An Attention and Clustering-based Cloud Segmentation Network

Understanding Unfairness in Fraud Detection through Model and Data Bias

Task Agnostic Representation Consolidation: a Self-supervised based
  Continual Learning Approach

A Transfer Learning Based Model for Text Readability Assessment in
  German

RepFair-GAN: Mitigating Representation Bias in GANs Using Gradient
  Clipping

Normalized gradient flow optimization in the training of ReLU artificial

Hierarchy exploitation to detect missing annotations on hierarchical
  multi-label classification

Explainable Intrusion Detection Systems (X-IDS): A Survey of Current
  Methods, Challenges, and Opportunities

Open High-Resolution Satellite Imagery: The WorldStrat Dataset -- With
  Application to Super-Resolution

Goal-Oriented Sensitivity Analysis of Hyperparameters in Deep Learning

YOLO2U-Net: Detection-Guided 3D Instance Segmentation for Microscopy

Is one annotation enough? A data-centric image classification benchmark
  for noisy and ambiguous label estimation

Long-term evolution of non-thermal emission from Type Ia and
  core-collapse supernova remnants in a diversified circumstellar medium

Domain adaptation strategies for cancer-independent detection of lymph
  node metastases

Simulation-guided Beam Search for Neural Combinatorial Optimization

Collaborative Quantization Embeddings for Intra-Subject Prostate MR
  Image Registration

Multi-modal Depression Estimation based on Sub-attentional Fusion

RTN: Reinforced Transformer Network for Coronary CT Angiography
  Vessel-level Image Quality Assessment

From Design to Deployment of Zero-touch Deep Reinforcement Learning
  WLANs

Unsupervised Visual Representation Learning by Synchronous Momentum
  Grouping

Visualizing Confidence Intervals for Critical Point Probabilities in 2D
  Scalar Field Ensembles

Collaborative Machine Learning-Driven Internet of Medical Things -- A

On the Robustness of Bayesian Neural Networks to Adversarial Attacks

Multiview Contrastive Learning for Completely Blind Video Quality

A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP

The Impact of Feature Quantity on Recommendation Algorithm Performance:
  A Movielens-100K Case Study

Probing the Robustness of Independent Mechanism Analysis for

Continual Meta-Reinforcement Learning for UAV-Aided Vehicular Wireless
  Networks

Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent
  Variable Inference for Text Generation

The Free Energy Principle for Perception and Action: A Deep Learning

SURIMI: Supervised Radio Map Augmentation with Deep Learning and a
  Generative Adversarial Network for Fingerprint-based Indoor Positioning

LiveSchema: A Gateway Towards Learning on Knowledge Graph Schemas

Automated Detection of Label Errors in Semantic Segmentation Datasets
  via Deep Learning and Uncertainty Quantification

Learnability Enhancement for Low-light Raw Denoising: Where Paired Real
  Data Meets Noise Modeling

Global-local Motion Transformer for Unsupervised Skeleton-based Action
  Learning

A Reinforcement Learning-based Offensive semantics Censorship System for
  Chatbots

On Merging Feature Engineering and Deep Learning for Diagnosis,
  Risk-Prediction and Age Estimation Based on the 12-Lead ECG

Introducing $γ$-lifting for Learning Nonlinear Pulse Shaping in
  Coherent Optical Communication

Towards A Holistic View of Bias in Machine Learning: Bridging
  Algorithmic Fairness and Imbalanced Learning

DSPNet: Towards Slimmable Pretrained Networks based on Discriminative

Machine-learning effective many-body potentials for anisotropic
  particles using orientation-dependent symmetry functions

Modeling Long-term Dependencies and Short-term Correlations in Patient
  Journey Data with Temporal Attention Networks for Health Prediction

Subband-based Generative Adversarial Network for Non-parallel
  Many-to-many Voice Conversion

Experiments on Anomaly Detection in Autonomous Driving by
  Forward-Backward Style Transfers

Learning Representations for CSI Adaptive Quantization and Feedback

MorphoActivation: Generalizing ReLU activation function by mathematical
  morphology

DeepTime: Deep Time-Index Meta-Learning for Non-Stationary Time-Series

Perturbation Inactivation Based Adversarial Defense for Face Recognition

Unsupervised Recognition of Informative Features via Tensor Network
  Machine Learning and Quantum Entanglement Variations

Graph Property Prediction on Open Graph Benchmark: A Winning Solution by
  Graph Neural Architecture Search

High Per Parameter: A Large-Scale Study of Hyperparameter Tuning for
  Machine Learning Algorithms

URANUS: Radio Frequency Tracking, Classification and Identification of
  Unmanned Aircraft Vehicles

Federated Multi-Task Learning for THz Wideband Channel and DoA

The DLCC Node Classification Benchmark for Analyzing Knowledge Graph

SATTS: Speaker Attractor Text to Speech, Learning to Speak by Learning
  to Separate

Text-driven Emotional Style Control and Cross-speaker Style Transfer in
  Neural TTS

Brick Tic-Tac-Toe: Exploring the Generalizability of AlphaZero to Novel
  Test Environments

Unsupervised Learning for Combinatorial Optimization with Principled
  Objective Relaxation

RESECT-SEG: Open access annotations of intra-operative brain tumor
  ultrasound images

Efficient and Scalable Recommendation via Item-Item Graph Partitioning

Orthogonal-Coding-Based Feature Generation for Transductive Open-Set
  Recognition via Dual-Space Consistent Sampling

Prediction of the motion of chest internal points using a recurrent
  neural network trained with real-time recurrent learning for latency
  compensation in lung cancer radiotherapy

RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task
  RL

A General Contextualized Rewriting Framework for Text Summarization

Distribution Theoretic Semantics for Non-Smooth Differentiable

Towards understanding how momentum improves generalization in deep
  learning

Cross-Age Speaker Verification: Learning Age-Invariant Speaker

Appearance-guided Attentive Self-Paced Learning for Unsupervised Salient

Expert Elicitation and Data Noise Learning for Material Flow Analysis
  using Bayesian Inference

On Curating Responsible and Representative Healthcare Video
  Recommendations for Patient Education and Health Literacy: An Augmented
  Intelligence Approach

Wide & Deep Learning for Judging Student Performance in Online
  One-on-one Math Classes

Diverse Dance Synthesis via Keyframes with Transformer Controllers

D-CBRS: Accounting For Intra-Class Diversity in Continual Learning

A Near Sensor Edge Computing System for Point Cloud Semantic

Reward-Sharing Relational Networks in Multi-Agent Reinforcement Learning
  as a Framework for Emergent Behavior

Employing Feature Selection Algorithms to Determine the Immune State of
  Mice with Rheumatoid Arthritis

Forest and Water Bodies Segmentation Through Satellite Images Using
  U-Net

RcTorch: a PyTorch Reservoir Computing Package with Automated
  Hyper-Parameter Optimization

Universal expressiveness of variational quantum classifiers and quantum
  kernels for support vector machines

A Conceptual Framework for Using Machine Learning to Support Child
  Welfare Decisions

Interaction-aware Decision-making for Automated Vehicles using Social
  Value Orientation

Optimistic PAC Reinforcement Learning: the Instance-Dependent View

Contextual Bandits with Smooth Regret: Efficient Learning in Continuous
  Action Spaces

Self-supervised Group Meiosis Contrastive Learning for EEG-Based Emotion

Learning Bellman Complete Representations for Offline Policy Evaluation

Logistics, Graphs, and Transformers: Towards improving Travel Time

Earthformer: Exploring Space-Time Transformers for Earth System

Differentially Private Linear Bandits with Partial Distributed Feedback

Conditional Energy-Based Models for Implicit Policies: The Gap between
  Theory and Practice

Understanding High Dimensional Spaces through Visual Means Employing
  Multidimensional Projections

OSLAT: Open Set Label Attention Transformer for Medical Entity Span

dpart: Differentially Private Autoregressive Tabular, a General
  Framework for Synthetic Data Generation

Dam reservoir extraction from remote sensing imagery using tailored
  metric learning strategies

RelaxLoss: Defending Membership Inference Attacks without Losing Utility

Long-Horizon Manipulation Planning with Functional Object-Oriented
  Networks

Estimating Test Performance for AI Medical Devices under Distribution
  Shift with Conformal Prediction

Domain Gap Estimation for Source Free Unsupervised Domain Adaptation
  with Many Classifiers

Distilled Non-Semantic Speech Embeddings with Binary Neural Networks for
  Low-Resource Devices

Data-driven Control of Agent-based Models: an Equation/Variable-free
  Machine Learning Approach

Long Term Fairness for Minority Groups via Performative Distributionally
  Robust Optimization

Using wavelets to capture deviations from smoothness in galaxy-scale
  strong lenses

Reactive Exploration to Cope with Non-Stationarity in Lifelong

How Do Multilingual Encoders Learn Cross-lingual Representation?

Vision Transformer for NeRF-Based View Synthesis from a Single Input
  Image

AGBoost: Attention-based Modification of Gradient Boosting Machine

The Untold Impact of Learning Approaches on Software Fault-Proneness

Conservative SPDEs as fluctuating mean field limits of stochastic
  gradient descent

Learning Joint Detection, Equalization and Decoding for Short-Packet

A Newton-CG based barrier method for finding a second-order stationary
  point of nonconvex conic optimization with complexity guarantees

A machine-learning-based tool for last closed-flux surface
  reconstruction on tokamaks

ReLyMe: Improving Lyric-to-Melody Generation by Incorporating
  Lyric-Melody Relationships

Machine Learning model for gas-liquid interface reconstruction in CFD

Using Machine Learning to Reduce Observational Biases When Detecting New
  Impacts on Mars

Human Treelike Tubular Structure Segmentation: A Comprehensive Review
  and Future Perspectives

From Spectral Graph Convolutions to Large Scale Graph Convolutional
  Networks

Dynamic Gradient Reactivation for Backward Compatible Person

A Single-Loop Gradient Descent and Perturbed Ascent Algorithm for
  Nonconvex Functional Constrained Optimization

Docent: A content-based recommendation system to discover contemporary
  art

Scalable Bayesian Inference for Detection and Deblending in Astronomical
  Images

GANzzle: Reframing jigsaw puzzle solving as a retrieval task using a
  generative mental image

DGPO: Discovering Multiple Strategies with Diversity-Guided Policy

Contrastive Learning for Online Semi-Supervised General Continual
  Learning

Inner Monologue: Embodied Reasoning through Planning with Language
  Models

Nanosecond machine learning regression with deep boosted decision trees
  in FPGA for high energy physics

Multi-Behavior Hypergraph-Enhanced Transformer for Sequential

Investigating the Impact of Independent Rule Fitnesses in a Learning
  Classifier System

BASED-XAI: Breaking Ablation Studies Down for Explainable Artificial

LightViT: Towards Light-Weight Convolution-Free Vision Transformers

Practical Attacks on Machine Learning: A Case Study on Adversarial
  Windows Malware

Enhancing thermoelectric properties of isotope graphene nanoribbons via
  machine learning guided manipulation of disordered antidots and interfaces

DTG-SSOD: Dense Teacher Guidance for Semi-Supervised Object Detection

EmoSens: Emotion Recognition based on Sensor data analysis using
  LightGBM

Fuzzing Deep-Learning Libraries via Automated Relational API Inference

Active Distribution System Coordinated Control Method via Artificial

FedHAP: Federated Hashing with Global Prototypes for Cross-silo
  Retrieval

Exploring Adversarial Examples and Adversarial Robustness of
  Convolutional Neural Networks by Mutual Information

A semi-supervised methodology for fishing activity detection using the
  geometry behind the trajectory of multiple vessels

Transferability-Guided Cross-Domain Cross-Task Transfer Learning

EfficientLEAF: A Faster LEarnable Audio Frontend of Questionable Use

Label-Efficient Self-Supervised Speaker Verification With Information
  Maximization and Contrastive Learning

Modality-Aware Contrastive Instance Learning with Self-Distillation for
  Weakly-Supervised Audio-Visual Violence Detection

Paint and Distill: Boosting 3D Object Detection with Semantic Passing
  Network

Temporal Disentanglement of Representations for Improved Generalisation
  in Reinforcement Learning

HelixFold: An Efficient Implementation of AlphaFold2 using PaddlePaddle

Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets

Sliced-Wasserstein normalizing flows: beyond maximum likelihood training

Parallel APSM for Fast and Adaptive Digital SIC in Full-Duplex
  Transceivers with Nonlinearity

TransFA: Transformer-based Representation for Face Attribute Evaluation

Category-Level 6D Object Pose and Size Estimation using Self-Supervised
  Deep Prior Deformation Networks

Wasserstein multivariate auto-regressive models for modeling
  distributional time series and its application in graph learning

Continual Learning with Deep Learning Methods in an Application-Oriented
  Context

Simultaneously Learning Stochastic and Adversarial Bandits under the
  Position-Based Model

A Generative deep learning approach for shape recognition of arbitrary
  objects from phaseless acoustic scattering data

Data-Driven Thermal Modelling for Anomaly Detection in Electric Vehicle
  Charging Stations

Coronavirus disease situation analysis and prediction using machine
  learning: a study on Bangladeshi population

Improving Domain Generalization by Learning without Forgetting:
  Application in Retail Checkout

UniNet: Unified Architecture Search with Convolution, Transformer, and
  MLP

A Baseline for Detecting Out-of-Distribution Examples in Image

Generative Adversarial Networks Applied to Synthetic Financial Scenarios

Split Time Series into Patches: Rethinking Long-term Series Forecasting
  with Dateformer

Western Mediterranean wetlands bird species classification: evaluating
  small-footprint deep learning approaches on a new annotated dataset

Wound Segmentation with Dynamic Illumination Correction and Dual-view
  Semantic Fusion

An Information-Theoretic Analysis for Transfer Learning: Error Bounds

Forecasting COVID-19 spreading trough an ensemble of classical and
  machine learning models: Spain's case study

Occluded Human Body Capture with Self-Supervised Spatial-Temporal Motion
  Prior

A Bipartite Graph Neural Network Approach for Scalable Beamforming

eX-ViT: A Novel eXplainable Vision Transformer for Weakly Supervised

Dynamics based Privacy Preservation in Decentralized Optimization

Towards Global Optimality in Cooperative MARL with Sequential

Ultrafast quantum state tomography with feed-forward neural networks

IDEA: Increasing Text Diversity via Online Multi-Label Recognition for
  Vision-Language Pre-training

Robotic Detection of a Human-Comprehensible Gestural Language for
  Underwater Multi-Human-Robot Collaboration

CompoundE: Knowledge Graph Embedding with Translation, Rotation and
  Scaling Compound Operations

Using Interpretable Machine Learning to Predict Maternal and Fetal
  Outcomes

Bi-fidelity Evolutionary Multiobjective Search for Adversarially Robust
  Deep Neural Architectures

CANF-VC: Conditional Augmented Normalizing Flows for Video Compression

Edge Augmentation on Disconnected Graphs via Eigenvalue Elevation

Multi-Camera View Based Proactive BS Selection and Beam Switching for
  V2X

Multitask Learning from Augmented Auxiliary Data for Improving Speech

Efficient and Privacy Preserving Group Signature for Federated Learning

A Synergistic Compilation Workflow for Tackling Crosstalk in Quantum
  Machines

TabSynDex: A Universal Metric for Robust Evaluation of Synthetic Tabular
  Data

The stellar parameters and elemental abundances from low-resolution
  spectra I: 1.2 million giants from LAMOST DR8

Pseudo value-based Deep Neural Networks for Multi-state Survival
  Analysis

Revisiting Inlier and Outlier Specification for Improved

Photonic Reconfigurable Accelerators for Efficient Inference of CNNs
  with Mixed-Sized Tensors

Size and depth of monotone neural networks: interpolation and

Building Korean Sign Language Augmentation (KoSLA) Corpus with Data
  Augmentation Technique

Efficient Real-world Testing of Causal Decision Making via Bayesian
  Experimental Design for Contextual Optimisation

FedPseudo: Pseudo value-based Deep Learning Models for Federated
  Survival Analysis

Energy Consumption Analysis Of Machining Centers Using Bayesian Analysis
  And Genetic Optimization

Unsupervised learning of observation functions in state-space models by
  nonparametric moment methods

Accelerating Large-Scale Graph-based Nearest Neighbor Search on a
  Computational Storage Platform

Regression Metric Loss: Learning a Semantic Representation Space for
  Medical Images

Uncertainty-Aware Online Merge Planning with Learned Driver Behavior

Susceptibility of Continual Learning Against Adversarial Attacks

Grounding Aleatoric Uncertainty for Unsupervised Environment Design

Fourier Neural Operator with Learned Deformations for PDEs on General
  Geometries

Scaling Novel Object Detection with Weakly Supervised Detection

An Online Data-Driven Method for Microgrid Secondary Voltage and
  Frequency Control with Ensemble Koopman Modeling

The Cosmic Graph: Optimal Information Extraction from Large-Scale
  Structure using Catalogues

Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory

Patch-level instance-group discrimination with pretext-invariant
  learning for colitis scoring

Knowledge Graph Induction enabling Recommending and Trend Analysis: A
  Corporate Research Community Use Case

Efficient Learning of Accurate Surrogates for Simulations of Complex
  Systems

Physics-Based Machine-Learning Approach for Modeling the
  Temperature-Dependent Yield Strengths of Medium- or High-Entropy Alloys

"Why do so?" -- A Practical Perspective on Machine Learning Security

Accelerated Deep Lossless Image Coding with Unified Paralleleized GPU
  Coding Architecture

Towards Effective Multi-Label Recognition Attacks via Knowledge Graph

Overview of the Shared Task on Fake News Detection in Urdu at FIRE 2021

Dev2vec: Representing Domain Expertise of Developers in an Embedding
  Space

FD-GATDR: A Federated-Decentralized-Learning Graph Attention Network for
  Doctor Recommendation Using EHR

Joint NMF for Identification of Shared Features in Datasets and a
  Dataset Distance Measure

GaMPEN: A Machine Learning Framework for Estimating Bayesian Posteriors
  of Galaxy Morphological Parameters

Learning Continuous Grasping Function with a Dexterous Hand from Human

Parallel Bayesian Optimization of Agent-based Transportation Simulation

Unsupervised Semantic Segmentation with Self-supervised Object-centric

PSP-HDRI$+$: A Synthetic Dataset Generator for Pre-Training of
  Human-Centric Computer Vision Models

A Macrocolumn Architecture Implemented with Temporal (Spiking) Neurons

Reinforcement Learning$\unicode{x2013}$Based Transient Response Shaping
  for Microgrids

Learning Temporally Extended Skills in Continuous Domains as Symbolic
  Actions for Planning

Validity of Web-based, Self-directed, NeuroCognitive Performance Test in
  MCI

Boosting Heterogeneous Catalyst Discovery by Structurally Constrained

TASKOGRAPHY: Evaluating robot task planning over large 3D scene graphs

Data-driven discovery of quasi-disordered mechanical metamaterials
  failed progressively

Consistency is the key to further mitigating catastrophic forgetting in
  continual learning

A Closer Look at Invariances in Self-supervised Pre-training for 3D
  Vision

Uncertainty-Aware Mixed-Variable Machine Learning for Materials Design

Start Small, Think Big: On Hyperparameter Optimization for Large-Scale
  Knowledge Graph Embeddings

Wave-ViT: Unifying Wavelet and Transformers for Visual Representation
  Learning

Learning an evolved mixture model for task-free continual learning

From Correlation to Causation: Formalizing Interpretable Machine
  Learning as a Statistical Process

Structural Inference of Networked Dynamical Systems with Universal

Learning Mutual Fund Categorization using Natural Language Processing

Documenting Data Production Processes: A Participatory Approach for Data
  Work

Neural and gpc operator surrogates: construction and expression rate
  bounds

TweetDIS: A Large Twitter Dataset for Natural Disasters Built using Weak

On the Stochastic Gradient Descent and Inverse Variance-flatness
  Relation in Artificial Neural Networks

Charged Higgs Phenomenology in di-bjet channel with $H^{\pm} \rightarrow
  W^{\pm}h$ in 2HDM Type-II using Machine Learning Technique

On uniform-in-time diffusion approximation for stochastic gradient
  descent

Team CERBERUS Wins the DARPA Subterranean Challenge: Technical Overview
  and Lessons Learned

Generalizing to Unseen Domains with Wasserstein Distributional
  Robustness under Limited Source Knowledge

Physical Passive Patch Adversarial Attacks on Visual Odometry Systems

Detection of Condensed Vehicle Gas Exhaust in LiDAR Point Clouds

HLT-MT: High-resource Language-specific Training for Multilingual Neural

Going the Extra Mile in Face Image Quality Assessment: A Novel Database
  and Model

UM4: Unified Multilingual Multiple Teacher-Student Model for
  Zero-Resource Neural Machine Translation

Reinforcement Learning of a CPG-regulated Locomotion Controller for a
  Soft Snake Robot

Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among
  Complexity, Leakage, and Utility

Horizontal Federated Learning and Secure Distributed Training for
  Recommendation System with Intel SGX

Adversarial Style Augmentation for Domain Generalized Urban-Scene

Keep your Distance: Determining Sampling and Distance Thresholds in
  Machine Learning Monitoring

The Mean Dimension of Neural Networks -- What causes the interaction
  effects?

LaT: Latent Translation with Cycle-Consistency for Video-Text Retrieval

Statistical Detection of Adversarial examples in Blockchain-based
  Federated Forest In-vehicle Network Intrusion Detection Systems

RRMSE Voting Regressor: A weighting function based improvement to
  ensemble regression

Stochastic Functional Analysis and Multilevel Vector Field Anomaly
  Detection

Speaker Anonymization with Phonetic Intermediate Representations

Mixed vine copula flows for flexible modelling of neural dependencies

Bayesian Experimental Design for Computed Tomography with the Linearised
  Deep Image Prior

Cross-modal Prototype Driven Network for Radiology Report Generation

A clinically motivated self-supervised approach for content-based image
  retrieval of CT liver images

PromptEM: Prompt-tuning for Low-resource Generalized Entity Matching

DCCF: Deep Comprehensible Color Filter Learning Framework for
  High-Resolution Image Harmonization

Functional Generalized Empirical Likelihood Estimation for Conditional
  Moment Restrictions

DeepSNR: A deep learning foundation for offline gravitational wave
  detection

Enhanced graph-learning schemes driven by similar distributions of
  motifs

Classification of Fermi-LAT unidentified gamma-ray sources using
  CatBoost gradient boosting decision trees

Interpretability by design using computer vision for behavioral sensing
  in child and adolescent psychiatry

Hybrid Skip: A Biologically Inspired Skip Connection for the UNet

Physical Attack on Monocular Depth Estimation with Optimal Adversarial
  Patches

A Baselined Gated Attention Recurrent Network for Request Prediction in
  Ridesharing

Don't Start From Scratch: Leveraging Prior Data to Automate Robotic

Multi-level Fusion of Wav2vec 2.0 and BERT for Multimodal Emotion

PUF-Phenotype: A Robust and Noise-Resilient Approach to Aid
  Intra-Group-based Authentication with DRAM-PUFs Using Machine Learning

(Nearly) Optimal Private Linear Regression via Adaptive Clipping

Deep Squared Euclidean Approximation to the Levenshtein Distance for DNA
  Storage

Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular
  Depth Estimation by Integrating IMU Motion Dynamics

CAMS: An Annotated Corpus for Causal Analysis of Mental Health Issues in
  Social Media Posts

Learning Spatial and Temporal Variations for 4D Point Cloud Segmentation

No Language Left Behind: Scaling Human-Centered Machine Translation

A Secure Fingerprinting Framework for Distributed Image Classification

An Ultra-low Power TinyML System for Real-time Visual Processing at Edge

Personalizing Federated Medical Image Segmentation via Local Calibration

Learning Large-scale Universal User Representation with Sparse Mixture
  of Experts

DelightfulTTS 2: End-to-End Speech Synthesis with Adversarial
  Vector-Quantized Auto-Encoders

An On-demand Photonic Ising Machine with Simplified Hamiltonian
  Calculation by Phase-encoding and Intensity Detection

Interference-Limited Ultra-Reliable and Low-Latency Communications:
  Graph Neural Networks or Stochastic Geometry?

Learning Closed-loop Dough Manipulation Using a Differentiable Reset
  Module

Online Continual Learning of End-to-End Speech Recognition Models

SIMC 2.0: Improved Secure ML Inference Against Malicious Clients

Brain-inspired Graph Spiking Neural Networks for Commonsense Knowledge
  Representation and Reasoning

SkexGen: Autoregressive Generation of CAD Construction Sequences with
  Disentangled Codebooks

On the Principles of Parsimony and Self-Consistency for the Emergence of

FSHMEM: Supporting Partitioned Global Address Space on FPGAs for
  Large-Scale Hardware Acceleration Infrastructure

Deep neural network based adaptive learning for switched systems

Hercules: Boosting the Performance of Privacy-preserving Federated
  Learning

Discovering Domain Disentanglement for Generalized Multi-source Domain

Nonlinear Sufficient Dimension Reduction for
  Distribution-on-Distribution Regression

Synergy and Symmetry in Deep Learning: Interactions between the Data,
  Model, and Inference Algorithm

A Penalty Approach for Normalizing Feature Distributions to Build
  Confounder-Free Models

SparseTIR: Composable Abstractions for Sparse Compilation in Deep
  Learning

Privacy-preserving Decentralized Deep Learning with Multiparty
  Homomorphic Encryption

Adaptive Fine-Grained Predicates Learning for Scene Graph Generation

Optimal Clustering by Lloyd Algorithm for Low-Rank Mixture Model

Learned Video Compression via Heterogeneous Deformable Compensation
  Network

Multi-Study Boosting: Theoretical Considerations for Merging vs.
  Ensembling

A multi-level interpretable sleep stage scoring system by infusing
  experts' knowledge into a deep network architecture

How Robust is your Fair Model? Exploring the Robustness of Diverse
  Fairness Strategies

Bayesian Neural Networks for classification tasks in the Rubin big data
  era

Few-Shot Semantic Relation Prediction across Heterogeneous Graphs

Adaptive survival movement strategy to local epidemic outbreaks in
  cyclic models

Realization of the Trajectory Propagation in the MM-SQC Dynamics by
  Using Machine Learning

Brain-Aware Replacements for Supervised Contrastive Learning in
  Detection of Alzheimer's Disease

Automating Detection of Papilledema in Pediatric Fundus Images with
  Explainable Machine Learning

Domain Confused Contrastive Learning for Unsupervised Domain Adaptation

Decentralized Strongly-Convex Optimization with Affine Constraints:
  Primal and Dual Approaches

Learning to Order for Inventory Systems with Lost Sales and Uncertain
  Supplies

Multi-Frequency Information Enhanced Channel Attention Module for
  Speaker Representation Learning

Multi-task Envisioning Transformer-based Autoencoder for Corporate
  Credit Rating Migration Early Prediction

Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments

Facilitated machine learning for image-based fruit quality assessment

Developing an AI-enabled IIoT platform -- Lessons learned from early use
  case validation

Learning-based Monocular 3D Reconstruction of Birds: A Contemporary
  Survey

BotNet Intrusion Detection System in Internet of Things with Developed

FIB: A Method for Evaluation of Feature Impact Balance in
  Multi-Dimensional Data

Detecting People Interested in Non-Suicidal Self-Injury on Social Media

On the Representation of Causal Background Knowledge and its
  Applications in Causal Inference

A Forward Propagation Algorithm for Online Optimization of Nonlinear
  Stochastic Differential Equations

Towards Adaptive Unknown Authentication for Universal Domain Adaptation
  by Classifier Paradox

Automatic differentiation and the optimization of differential equation
  models in biology

Scaling up ML-based Black-box Planning with Partial STRIPS Models

Model-Driven Based Deep Unfolding Equalizer for Underwater Acoustic OFDM

Finite-time High-probability Bounds for Polyak-Ruppert Averaged Iterates
  of Linear Stochastic Approximation

Towards Proper Contrastive Self-supervised Learning Strategies For Music
  Audio Representation

Noisy Heuristics NAS: A Network Morphism based Neural Architecture
  Search using Heuristics

Progressively-connected Light Field Network for Efficient View Synthesis

TCR: A Transformer Based Deep Network for Predicting Cancer Drugs
  Response

NGAME: Negative Mining-aware Mini-batching for Extreme Classification

Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning
  Framework for Monocular 3D Object Detection

Droplet size distribution in a swirl airstream using in-line holography
  technique

Hiding Your Signals: A Security Analysis of PPG-based Biometric

Energy Trees: Regression and Classification With Structured and
  Mixed-Type Covariates

LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language,
  Vision, and Action

1st Place Solution to the EPIC-Kitchens Action Anticipation Challenge
  2022

SFNet: Faster, Accurate, and Domain Agnostic Semantic Segmentation via
  Semantic Flow

Self-supervised Learning with Local Contrastive Loss for Detection and

2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds

Scalable and Privacy-enhanced Graph Generative Model for Graph Neural
  Networks

Radiomics-Guided Global-Local Transformer for Weakly Supervised
  Pathology Localization in Chest X-Rays

Bregman Proximal Langevin Monte Carlo via Bregman--Moreau Envelopes

Connect the Dots: Tighter Discrete Approximations of Privacy Loss

On Graph Neural Network Fairness in the Presence of Heterophilous

Deep Transformer Model with Pre-Layer Normalization for COVID-19 Growth

Supervised similarity learning for corporate bonds using Random Forest
  proximities

Domain Adaptation Under Behavioral and Temporal Shifts for Natural Time
  Series Mobile Activity Recognition

State Dropout-Based Curriculum Reinforcement Learning for Self-Driving
  at Unsignalized Intersections

Joint Analysis of Acoustic Scenes and Sound Events with Weakly labeled
  Data

A Comparative Study of Self-supervised Speech Representation Based Voice
  Conversion

Variance Reduced ProxSkip: Algorithm, Theory and Application to

Emerging Patterns in the Continuum Representation of Protein-Lipid
  Fingerprints

Adaptive Graph Spatial-Temporal Transformer Network for Traffic Flow

Unsupervised Joint Image Transfer and Uncertainty Quantification Using
  Patch Invariant Networks

Snipper: A Spatiotemporal Transformer for Simultaneous Multi-Person 3D
  Pose Estimation Tracking and Forecasting on a Video Snippet

On the Relationship Between Counterfactual Explainer and Recommender

At the Intersection of Deep Learning and Conceptual Art: The End of
  Signature

Dynamic Time Warping based Adversarial Framework for Time-Series Domain

Adversarial Framework with Certified Robustness for Time-Series Domain
  via Statistical Features

Out-of-Distribution Detection in Time-Series Domain: A Novel Seasonal
  Ratio Scoring Approach

Training Robust Deep Models for Time-Series Domain: Novel Algorithms and
  Theoretical Analysis

SHDM-NET: Heat Map Detail Guidance with Image Matting for Industrial
  Weld Semantic Segmentation Network

TensorIR: An Abstraction for Automatic Tensorized Program Optimization

Explainable AI (XAI) in Biomedical Signal and Image Processing: Promises

Digital Twin Assisted Task Offloading for Aerial Edge Computing and
  Networks

A Closer Look into Transformer-Based Code Intelligence Through Code
  Transformation: Challenges and Opportunities

Rank-Enhanced Low-Dimensional Convolution Set for Hyperspectral Image
  Denoising

Schizophrenia detection based on EEG using Recurrent Auto-Encoder
  framework

A novel evaluation methodology for supervised Feature Ranking algorithms

A Statistically-Based Approach to Feedforward Neural Network Model
  Selection

PI-Trans: Parallel-ConvMLP and Implicit-Transformation Based GAN for
  Cross-View Image Translation

Deep Reinforcement Learning for Long-Term Voltage Stability Control

CEG4N: Counter-Example Guided Neural Network Quantization Refinement

Batch-efficient EigenDecomposition for Small and Medium Matrices

On the Robustness and Anomaly Detection of Sparse Neural Networks

Personalized Diagnostic Tool for Thyroid Cancer Classification using
  Multi-view Ultrasound

Reinforcement Learning Based User-Guided Motion Planning for Human-Robot

Panning for gold: Lessons learned from the platform-agnostic automated
  detection of political content in textual data

Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes

Multi-task Driver Steering Behaviour Modeling Using Time-Series

Vision-based Conflict Detection within Crowds based on High-Resolution
  Human Pose Estimation for Smart and Safe Airport

Online Reflective Learning for Robust Medical Image Segmentation

Agent with Tangent-based Formulation and Anatomical Perception for
  Standard Plane Localization in 3D Ultrasound

Weakly-supervised High-fidelity Ultrasound Video Synthesis with Feature
  Decoupling

Reinforcement Learning of Multi-Domain Dialog Policies Via Action

Exploring the solution space of linear inverse problems with GAN latent
  geometry

SD-LayerNet: Semi-supervised retinal layer segmentation in OCT using
  disentangled representation with anatomical priors

Machine learning-based mass density model for hard magnetic 14:2:1
  phases using chemical composition-based features

Dissecting Self-Supervised Learning Methods for Surgical Computer Vision

Safe Decision-making for Lane-change of Autonomous Vehicles via Human
  Demonstration-aided Reinforcement Learning

Using Neural Networks for Novelty-based Test Selection to Accelerate
  Functional Coverage Closure

Implicit adaptation of mesh model of transient heat conduction problem

How trial-to-trial learning shapes mappings in the mental lexicon:
  Modelling Lexical Decision with Linear Discriminative Learning

Autonomous Intraluminal Navigation of a Soft Robot using
  Deep-Learning-based Visual Servoing

WNet: A data-driven dual-domain denoising model for sparse-view computed
  tomography with a trainable reconstruction layer

Better Methods and Theory for Federated Learning: Compression, Client
  Selection and Heterogeneity

Characterizing the Effect of Class Imbalance on the Learning Dynamics

Analysis of Kinetic Models for Label Switching and Stochastic Gradient
  Descent

Horizontal Layer Constrained Attention Neural Network for Semblance
  Velocity Picking

Average submodularity of maximizing anticoordination in network games

Anisotropic, Sparse and Interpretable Physics-Informed Neural Networks
  for PDEs

Adapting the Mean Teacher for keypoint-based lung registration under
  geometric domain shifts

Multi-Objective Coordination Graphs for the Expected Scalarised Returns
  with Generative Flow Models

A geometric framework for outlier detection in high-dimensional data

Learning to segment prostate cancer by aggressiveness from scribbles in
  bi-parametric MRI

Modelling Users with Item Metadata for Explainable and Interactive

Vers la compréhension automatique de la parole bout-en-bout à
  moindre effort

Measurement of the properties of Higgs boson production at $\sqrt{s} =
  13$ TeV in the $H\toγγ$ channel using $139$ fb$^{-1}$ of $pp$
  collision data with the ATLAS experiment

A Deep-Learning-Aided Pipeline for Efficient Post-Silicon Tuning

Literature on Hand GESTURE Recognition using Graph based methods

Stock Performance Evaluation for Portfolio Design from Different Sectors
  of the Indian Stock Market

Learning Subject-Invariant Representations from Speech-Evoked EEG Using
  Variational Autoencoders

Identification of Binary Neutron Star Mergers in Gravitational-Wave Data
  Using YOLO One-Shot Object Detection

Integrative Learning of Structured High-Dimensional Data from Multiple
  Datasets

CEDAR: Communication Efficient Distributed Analysis for Regressions

Can we learn from developer mistakes? Learning to localize and repair
  real bugs from real bug fixes

Robust Bayesian Learning for Reliable Wireless AI: Framework and

The Dangers of Computational Law and Cybersecurity; Perspectives from
  Engineering and the AI Act

Distributed Influence-Augmented Local Simulators for Parallel MARL in
  Large Networked Systems

DALG: Deep Attentive Local and Global Modeling for Image Retrieval

Learning Lattice Quantum Field Theories with Equivariant Continuous
  Flows

A Polyphone BERT for Polyphone Disambiguation in Mandarin Chinese

BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean
  Label

Local manifold learning and its link to domain-based physics knowledge

Affordance Extraction with an External Knowledge Database for Text-Based
  Simulated Environments

A Functional Architecture for 6G Special Purpose Industrial IoT Networks

Effect of Homomorphic Encryption on the Performance of Training
  Federated Learning Generative Adversarial Networks

Towards Two-view 6D Object Pose Estimation: A Comparative Study on
  Fusion Strategy

COVID-19 Detection Using Transfer Learning Approach from Computed
  Tomography Images

Unsupervised High-Resolution Portrait Gaze Correction and Animation

Learning Classifier Systems for Self-Explaining Socio-Technical-Systems

A Survey on Active Simultaneous Localization and Mapping: State of the
  Art and New Frontiers

Computer-aided Tuberculosis Diagnosis with Attribute Reasoning
  Assistance

Bridging Fidelities to Predict Nanoindentation Tip Radii Using
  Interpretable Deep Learning Models

Improving Speech Enhancement through Fine-Grained Speech Characteristics

Visual Transformer Meets CutMix for Improved Accuracy, Communication
  Efficiency, and Data Privacy in Split Learning

VL-CheckList: Evaluating Pre-trained Vision-Language Models with
  Objects, Attributes and Relations

Pile of Law: Learning Responsible Data Filtering from the Law and a
  256GB Open-Source Legal Dataset

Ranking Constraint Relaxations for Mixed Integer Programs Using a

e-CLIP: Large-Scale Vision-Language Representation Learning in
  E-commerce

DiffPills: Differentiable Collision Detection for Capsules and Padded
  Polygons

Studying the impact of magnitude pruning on contrastive learning methods

Learning Diverse and Physically Feasible Dexterous Grasps with
  Generative Model and Bilevel Optimization

Reading and Writing: Discriminative and Generative Modeling for
  Self-Supervised Text Recognition

Data generation using simulation technology to improve perception
  mechanism of autonomous vehicles

Facilitating Conversational Interaction in Natural Language Interfaces
  for Visualization

An Understanding-Oriented Robust Machine Reading Comprehension Model

When Does Differentially Private Learning Not Suffer in High Dimensions?

Usable Region Estimate for Assessing Practical Usability of Medical
  Image Segmentation Models

Comparative Analysis of State-of-the-Art Deep Learning Models for
  Detecting COVID-19 Lung Infection from Chest X-Ray Images

COOR-PLT: A hierarchical control model for coordinating adaptive
  platoons of connected and autonomous vehicles at signal-free intersections
  based on deep reinforcement learning

Generating Counterfactual Hard Negative Samples for Graph Contrastive
  Learning

A New Dataset and A Baseline Model for Breast Lesion Detection in
  Ultrasound Videos

Topological Data Analysis of Neural Network Layer Representations

Automated Quantum Circuit Design with Nested Monte Carlo Tree Search

Optimizing Training Trajectories in Variational Autoencoders via Latent
  Bayesian Optimization Approach

ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature
  Entropy State

Predicting Ulnar Collateral Ligament Injury in Rookie Major League
  Baseball Pitchers

Deradicalizing YouTube: Characterization, Detection, and Personalization
  of Religiously Intolerant Arabic Videos

Modularity Optimization as a Training Criterion for Graph Neural
  Networks

GaitForeMer: Self-Supervised Pre-Training of Transformers via Human
  Motion Forecasting for Few-Shot Gait Impairment Severity Estimation

End-to-end Learning for Image-based Detection of Molecular Alterations
  in Digital Pathology

Stain-free, rapid, and quantitative viral plaque assay using deep
  learning and holography

DarKnight: An Accelerated Framework for Privacy and Integrity Preserving
  Deep Learning Using Trusted Hardware

Advances in Prediction of Readmission Rates Using Long Term Short Term
  Memory Networks on Healthcare Insurance Data

MultiViz: An Analysis Benchmark for Visualizing and Understanding
  Multimodal Models

Experimental Demonstration of a Spin-Wave Lens Designed with Machine
  Learning

Visual Pre-training for Navigation: What Can We Learn from Noise?

Privacy-preserving Graph Analytics: Secure Generation and Federated
  Learning

DP$^2$-NILM: A Distributed and Privacy-preserving Framework for
  Non-intrusive Load Monitoring

DeepSpeed Inference: Enabling Efficient Inference of Transformer Models
  at Unprecedented Scale

Denoised MDPs: Learning World Models Better Than the World Itself

AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly
  Detection

Dressing Avatars: Deep Photorealistic Appearance for Physically
  Simulated Clothing

Watch and Match: Supercharging Imitation with Regularized Optimal
  Transport

Interpretability, Then What? Editing Machine Learning Models to Reflect
  Human Knowledge and Values

QUIDAM: A Framework for Quantization-Aware DNN Accelerator and Model
  Co-Exploration

Improving Visual Grounding by Encouraging Consistent Gradient-based

PhySRNet: Physics informed super-resolution network for application in
  computational solid mechanics

Neural network enhanced measurement efficiency for molecular
  groundstates

Automatic Sleep Scoring from Large-scale Multi-channel Pediatric EEG

Asymmetry Disentanglement Network for Interpretable Acute Ischemic
  Stroke Infarct Segmentation in Non-Contrast CT Scans

Learning Functions on Multiple Sets using Multi-Set Transformers

Classical and learned MR to pseudo-CT mappings for accurate transcranial
  ultrasound simulation

Category-Level 6D Object Pose Estimation in the Wild: A Semi-Supervised
  Learning Approach and A New Dataset

Implicit Neural Spatial Filtering for Multichannel Source Separation in
  the Waveform Domain

UMPIRE: A Universal Moderator for the Participation in IETF Remote
  Events

MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples
  Detectors

Learning Audio-Text Agreement for Open-vocabulary Keyword Spotting

Uniting Machine Intelligence, Brain and Behavioural Sciences to Assist
  Criminal Justice

PolarFormer: Multi-camera 3D Object Detection with Polar Transformers

Randomized K-FACs: Speeding up K-FAC with Randomized Numerical Linear
  Algebra

Compact Binary Coalescences: Astrophysical Processes and Lessons Learned

Where to Begin? Exploring the Impact of Pre-Training and Initialization
  in Federated Learning

Mastering the Game of Stratego with Model-Free Multiagent Reinforcement
  Learning

Development of exchange-correlation functionals assisted by machine
  learning

Targeted learning in observational studies with multi-level treatments:
  An evaluation of antipsychotic drug treatment safety for patients with
  serious mental illnesses

Two-Stage Classifier for COVID-19 Misinformation Detection Using BERT: a
  Study on Indonesian Tweets

Reinforcement Learning of Control Strategies for Reducing Skin Friction
  Drag in a Fully Developed Channel Flow

Learning Underrepresented Classes from Decentralized Partially Labeled

Deep Learning to See: Towards New Foundations of Computer Vision

Revisiting Competitive Coding Approach for Palmprint Recognition: A
  Linear Discriminant Analysis Perspective

Neural Annotation Refinement: Development of a New 3D Dataset for
  Adrenal Gland Analysis

Interpretable Anomaly Detection in Echocardiograms with Dynamic
  Variational Trajectory Models

A Non-intrusive Approach for Physics-constrained Learning with
  Application to Fuel Cell Modeling

Designs, Motion Mechanism, Motion Coordination, and Communication of
  Bionic Robot Fishes: A Survey

Physics-informed machine learning for Structural Health Monitoring

A Distributed Massive MIMO Channel Sounder for "Big CSI Data"-driven

Low-temperature plasma simulation based on physics-informed neural
  networks: frameworks and preliminary applications

Machine learning for automated quality control in injection moulding
  manufacturing

TINC: Temporally Informed Non-Contrastive Learning for Disease
  Progression Modeling in Retinal OCT Volumes

Invariance Properties of the Natural Gradient in Overparametrised
  Systems

Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in
  Robotic Surgery

Insurance pricing with hierarchically structured data: An illustration
  with a workers' compensation insurance portfolio

Benchmark Dataset for Precipitation Forecasting by Post-Processing the
  Numerical Weather Prediction

libACA, pyACA, and ACA-Code: Audio Content Analysis in 3 Languages

Learning Nonparametric Ordinary differential Equations: Application to
  Sparse and Noisy Data

Depth-CUPRL: Depth-Imaged Contrastive Unsupervised Prioritized
  Representations in Reinforcement Learning for Mapless Navigation of Unmanned
  Aerial Vehicles

A Rare Topic Discovery Model for Short Texts Based on Co-occurrence word
  Network

Learning-Augmented Query Policies for Minimum Spanning Tree with

ListBERT: Learning to Rank E-commerce products with Listwise BERT

The Topological BERT: Transforming Attention into Topology for Natural
  Language Processing

Privacy-preserving household load forecasting based on non-intrusive
  load monitoring: A federated deep learning approach

Recovering network topology and dynamics via sequence characterization

Multi-Granularity Regularized Re-Balancing for Class Incremental
  Learning

Simulating reaction time for Eureka effect in visual object recognition
  using artificial neural network

Out-of-Distribution Detection for Long-tailed and Fine-grained Skin
  Lesion Images

Neural Network Assisted Depth Map Packing for Compression Using Standard
  Hardware Video Codecs

The (de)biasing effect of GAN-based augmentation methods on skin lesion
  images

A note on large deviations for interacting particle dynamics for finding
  mixed equilibria in zero-sum games

Graph-Time Convolutional Neural Networks: Architecture and Theoretical
  Analysis

Reliable Representations Make A Stronger Defender: Unsupervised
  Structure Refinement for Robust GNN

Efficient Entity Candidate Generation for Low-Resource Languages

Using Person Embedding to Enrich Features and Data Augmentation for

EfficientGrasp: A Unified Data-Efficient Learning to Grasp Method for
  Multi-fingered Robot Hands

HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object
  Detection

Pulse Shape Simulation and Discrimination using Machine-Learning
  Techniques

Scalable K-FAC Training for Deep Neural Networks with Distributed
  Preconditioning

Pump Up Password Security! Evaluating and Enhancing Risk-Based
  Authentication on a Real-World Large-Scale Online Service

InsMix: Towards Realistic Generative Data Augmentation for Nuclei

Personalized Detection of Cognitive Biases in Actions of Users from
  Their Logs: Anchoring and Recency Biases

Detecting and Recovering Adversarial Examples from Extracting Non-robust
  and Highly Predictive Adversarial Perturbations

A learning by confusion approach to characterize phase transitions

Automated Experiments of Local Non-linear Behavior in Ferroelectric
  Materials

The maximum capability of a topological feature in link prediction

Interpretable Graph Neural Networks for Connectome-Based Brain Disorder
  Analysis

Learning-Aided Beam Prediction in mmWave MU-MIMO Systems for High-Speed
  Railway

Colonoscopy Navigation using End-to-End Deep Visuomotor Control: A User
  Study

Skeleton-based Action Recognition via Adaptive Cross-Form Learning

Prediction of Dilatory Behavior in eLearning: A Comparison of Multiple
  Machine Learning Models

BigBIO: A Framework for Data-Centric Biomedical Natural Language

Learnable Model-Driven Performance Prediction and Optimization for
  Imperfect MIMO System: Framework and Application

Learning-Based Near-Orthogonal Superposition Code for MIMO Short Message
  Transmission

A note on Linear Bottleneck networks and their Transition to
  Multilinearity

FeaRLESS: Feature Refinement Loss for Ensembling Self-Supervised
  Learning Features in Robust End-to-end Speech Recognition

Efficient Collective Action for Tackling Time-Critical Cybersecurity
  Threats

ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and
  Acquisition at Inference Time

Improving Ensemble Distillation With Weight Averaging and Diversifying

Automated Wheat Disease Detection using a ROS-based Autonomous Guided
  UAV

Brain-like combination of feedforward and recurrent network components
  achieves prototype extraction and robust pattern recognition

Data-and-Knowledge Dual-Driven Automatic Modulation Recognition for
  Wireless Communication Networks

A Causal Approach to Detecting Multivariate Time-series Anomalies and
  Root Causes

CoVaxNet: An Online-Offline Data Repository for COVID-19 Vaccine
  Hesitancy Research

Timestamp-Supervised Action Segmentation with Graph Convolutional
  Networks

Exploring Temporally Dynamic Data Augmentation for Video Recognition

The Edge of Disaster: A Battle Between Autonomous Racing and Safety

"Diversity and Uncertainty in Moderation" are the Key to Data Selection
  for Multilingual Few-shot Transfer

GSCLIP : A Framework for Explaining Distribution Shifts in Natural
  Language

Continuous-Time and Multi-Level Graph Representation Learning for
  Origin-Destination Demand Prediction

Spatial Transformer Network with Transfer Learning for Small-scale
  Fine-grained Skeleton-based Tai Chi Action Recognition

Bridging Mean-Field Games and Normalizing Flows with Trajectory

TTS-by-TTS 2: Data-selective augmentation for neural speech synthesis
  using ranking support vector machine with variational autoencoder

A Validity Perspective on Evaluating the Justified Use of Data-driven
  Decision-making Algorithms

Building Multilingual Machine Translation Systems That Serve Arbitrary
  X-Y Translations

Randomized Coordinate Subgradient Method for Nonsmooth Optimization

Semi-Supervised Generative Adversarial Network for Stress Detection
  Using Partially Labeled Physiological Data

Machine Learning Approaches to Predict Breast Cancer: Bangladesh

Boosting 3D Object Detection by Simulating Multimodality on Point Clouds

Personalized Showcases: Generating Multi-Modal Explanations for
  Recommendations

Masked Part-Of-Speech Model: Does Modeling Long Context Help
  Unsupervised POS-tagging?

Improving Visual Speech Enhancement Network by Learning Audio-visual
  Affinity with Multi-head Attention

GLD-Net: Improving Monaural Speech Enhancement by Learning Global and
  Local Dependency Features with GLD Block

CLTS-GAN: Color-Lighting-Texture-Specular Reflection Augmentation for
  Colonoscopy

Decision Forest Based EMG Signal Classification with Low Volume Dataset
  Augmented with Random Variance Gaussian Noise

Euclid preparation: XXIII. Derivation of galaxy physical properties with
  deep machine learning using mock fluxes and H-band images

Variational Inference for Additive Main and Multiplicative Interaction
  Effects Models

Physics-Inspired Unsupervised Classification for Region of Interest in
  X-Ray Ptychography

Manifold Interpolating Optimal-Transport Flows for Trajectory Inference

ComDensE : Combined Dense Embedding of Relation-aware and Common
  Features for Knowledge Graph Completion

OASYS: Domain-Agnostic Automated System for Constructing Knowledge Base
  from Unstructured Text

Identifying and Combating Bias in Segmentation Networks by leveraging
  multiple resolutions

Towards out of distribution generalization for problems in mechanics

The Hiatus Between Organism and Machine Evolution: Contrasting Mixed
  Microbial Communities with Robots

A Best-of-Both-Worlds Algorithm for Bandits with Delayed Feedback

CIRDataset: A large-scale Dataset for Clinically-Interpretable lung
  nodule Radiomics and malignancy prediction

LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood

Momentum Diminishes the Effect of Spectral Bias in Physics-Informed

Fairness via In-Processing in the Over-parameterized Regime: A
  Cautionary Tale

Deep Reinforcement Learning for Small Bowel Path Tracking using
  Different Types of Annotations

Provably Efficient Reinforcement Learning for Online Adaptive Influence

Strong Lensing Source Reconstruction Using Continuous Neural Fields

What can Gaussian Processes really tell us about supernova lightcurves?
  Consequences for Type II(b) morphologies and genealogies

Understanding Generalization via Leave-One-Out Conditional Mutual

On the Robustness of Dialogue History Representation in Conversational
  Question Answering: A Comprehensive Study and a New Prompt-based Method

ENS-10: A Dataset For Post-Processing Ensemble Weather Forecasts

IBP Regularization for Verified Adversarial Robustness via
  Branch-and-Bound

A hybrid level-based learning swarm algorithm with mutation operator for
  solving large-scale cardinality-constrained portfolio optimization problems

An Auto-Regressive Formulation for Smoothing and Moving Mean with
  Exponentially Tapered Windows

Placenta Segmentation in Ultrasound Imaging: Addressing Sources of
  Uncertainty and Limited Field-of-View

Generative Adversarial Networks for Pseudo-Radio-Signal Synthesis

Modeling Teams Performance Using Deep Representational Learning on
  Graphs

GO-Surf: Neural Feature Grid Optimization for Fast, High-Fidelity RGB-D
  Surface Reconstruction

DrumGAN VST: A Plugin for Drum Sound Analysis/Synthesis With
  Autoencoding Generative Adversarial Networks

Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using

LViT: Language meets Vision Transformer in Medical Image Segmentation

An extensible Benchmarking Graph-Mesh dataset for studying Steady-State
  Incompressible Navier-Stokes Equations

An Embedding Framework for the Design and Analysis of Consistent
  Polyhedral Surrogates

Interventional Contrastive Learning with Meta Semantic Regularizer

Hidden Parameter Recurrent State Space Models For Changing Dynamics
  Scenarios

Multi-scale Physical Representations for Approximating PDE Solutions
  with Graph Neural Operators

Optimal quantum control via genetic algorithms for quantum state
  engineering

BiometryNet: Landmark-based Fetal Biometry Estimation from Standard
  Ultrasound Planes

Deep Learning-Based Attenuation and Scatter Correction of Brain 18F-FDG
  PET Images in the Image Domain

Ensemble CNN models for Covid-19 Recognition and Severity Perdition From
  3D CT-scan

Not Cheating on the Turing Test: Towards Grounded Language Learning in
  Artificial Intelligence

Deep Learning for Spin-Orbit Torque Characterizations with a Projected
  Vector Field Magnet

Conditionally Elicitable Dynamic Risk Measures for Deep Reinforcement
  Learning

Cut Inner Layers: A Structured Pruning Strategy for Efficient U-Net GANs

ESA-Ariel Data Challenge NeurIPS 2022: Introduction to exo-atmospheric
  studies and presentation of the Ariel Big Challenge (ABC) Database

Discovery of a Short Period Pulsator from Istanbul University
  Observatory

From Kernel Methods to Neural Networks: A Unifying Variational
  Formulation

Treatment Effect Estimation from Observational Network Data using
  Augmented Inverse Probability Weighting and Machine Learning

A Robustly Optimized Long Text to Math Models for Numerical Reasoning On
  FinQA

SALO: An Efficient Spatial Accelerator Enabling Hybrid Sparse Attention
  Mechanisms for Long Sequences

Comparative Study of Inference Methods for Interpolative Decomposition

Current Challenges of Cyber Threat and Vulnerability Identification
  Using Public Enumerations

When Does Group Invariant Learning Survive Spurious Correlations?

Revisiting Label Smoothing and Knowledge Distillation Compatibility:
  What was Missing?

Supervised Deep Hashing for High-dimensional and Heterogeneous
  Case-based Reasoning

Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

Imaging the time series of one single referenced EEG electrode for
  Epileptic Seizures Risk Analysis

Variational Quantum Approximate Support Vector Machine With Inference
  Transfer

RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and
  Out Distribution Robustness

Auto-Encoder-Extreme Learning Machine Model for Boiler NOx Emission
  Concentration Prediction

Beyond neural scaling laws: beating power law scaling via data pruning

DeepMB: Deep neural network for real-time optoacoustic image
  reconstruction with adjustable speed of sound

Data augmentation for learning predictive models on EEG: a systematic
  comparison

Adversarial Ensemble Training by Jointly Learning Label Dependencies and
  Member Models

Can Push-forward Generative Models Fit Multimodal Distributions?

Siamese Contrastive Embedding Network for Compositional Zero-Shot
  Learning

Minimalist and High-performance Conversational Recommendation with
  Uncertainty Estimation for User Preference

Single-domain Generalization in Medical Image Segmentation via Test-time
  Adaptation from Shape Dictionary

Dynamic Community Detection via Adversarial Temporal Graph

SPI-GAN: Distilling Score-based Generative Models with Straight-Path
  Interpolations

Extreme compression of sentence-transformer ranker models: faster
  inference, longer battery life, and less storage on edge devices

Deep Multiple Instance Learning For Forecasting Stock Trends Using
  Financial News

SRCN3D: Sparse R-CNN 3D Surround-View Camera Object Detection and
  Tracking for Autonomous Driving

Off-the-grid learning of sparse mixtures from a continuous dictionary

MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised

Open Problem: Properly learning decision trees in polynomial time?

Graph Convolutional Neural Networks for (QM)ML/MM Molecular Dynamics

Robust optimization for quantum reinforcement learning control using
  partial observations

The Lighter The Better: Rethinking Transformers in Medical Image
  Segmentation Through Adaptive Pruning

C2FTrans: Coarse-to-Fine Transformers for Medical Image Segmentation

Time and Query Complexity Tradeoff for the Dihedral Coset Problem

Overview of Deep Learning-based CSI Feedback in Massive MIMO Systems

Exploiting Semantic Role Contextualized Video Features for
  Multi-Instance Text-Video Retrieval EPIC-KITCHENS-100 Multi-Instance
  Retrieval Challenge 2022

Theoretical Perspectives on Deep Learning Methods in Inverse Problems

Matryoshka: Stealing Functionality of Private ML Data by Hiding Models
  in Model

Lower Bounds on the Error Probability for Invariant Causal Prediction

Using Twitter Data to Understand Public Perceptions of Approved versus
  Off-label Use for COVID-19-related Medications

EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual
  Question Answering

Fleet-DAgger: Interactive Robot Fleet Learning with Scalable Human

What Can Secondary Predictions Tell Us? An Exploration on
  Question-Answering with SQuAD-v2.0

A New Adjacency Matrix Configuration in GCN-based Models for
  Skeleton-based Action Recognition

An Empirical Study of Challenges in Converting Deep Learning Models

Bottleneck Low-rank Transformers for Low-resource Spoken Language

Multistep Automated Data Labelling Procedure (MADLaP) for Thyroid
  Nodules on Ultrasound: An Artificial Intelligence Approach for Automating
  Image Annotation

Bayesian Multi-task Variable Selection with an Application to
  Differential DAG Analysis

Reinforcement Learning in Medical Image Analysis: Concepts,
  Applications, Challenges, and Future Directions

Left Heavy Tails and the Effectiveness of the Policy and Value Networks
  in DNN-based best-first search for Sokoban Planning

Reconstructing the Universe with Variational self-Boosted Sampling

Learning Time Delay Systems with Neural Ordinary Differential Equations

Optimal Estimation of Generic Dynamics by Path-Dependent Neural Jump
  ODEs

A Perturbation Bound on the Subspace Estimator from Canonical
  Projections

Collecting high-quality adversarial data for machine reading
  comprehension tasks with humans and models in the loop

Applications of Reinforcement Learning in Finance -- Trading with a
  Double Deep Q-Network

Online Anomaly Detection Based On Reservoir Sampling and LOF for IoT
  devices

Semi-supervised Contrastive Outlier removal for Pseudo Expectation
  Maximization (SCOPE)

GAN-based Intrinsic Exploration For Sample Efficient Reinforcement
  Learning

A Survey on SDN \& SDCN Traffic Measurement: Existing Approaches and
  Research Challenge

PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for
  Linear and Integer Programming

Gaussian Latent Dirichlet Allocation for Discrete Human State Discovery

The Astropy Project: Sustaining and Growing a Community-oriented
  Open-source Project and the Latest Major Release (v5.0) of the Core Package

Fast emulation of two-point angular statistics for photometric galaxy
  surveys

Integral Transforms in a Physics-Informed (Quantum) Neural Network
  setting: Applications & Use-Cases

Risk Perspective Exploration in Distributional Reinforcement Learning

Verifiable Goal Recognition for Autonomous Driving with Occlusions

Improving self-supervised pretraining models for epileptic seizure
  detection from EEG data

Rethinking Optimization with Differentiable Simulation from a Global

Learning energy-efficient driving behaviors by imitating experts

Building Matters: Spatial Variability in Machine Learning Based Thermal
  Comfort Prediction in Winters

How to Steer Your Adversary: Targeted and Efficient Model Stealing
  Defenses with Gradient Redirection

Position-Agnostic Autonomous Navigation in Vineyards with Deep

Learning Variable Impedance Control for Aerial Sliding on Uneven
  Heterogeneous Surfaces by Proprioceptive and Tactile Sensing

SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous
  Driving

Quantum Neural Architecture Search with Quantum Circuits Metric and

On the universality of the volatility formation process: when machine
  learning and rough volatility agree

RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network

Learning the Solution Operator of Boundary Value Problems using Graph

Compilation Forking: A Fast and Flexible Way of Generating Data for
  Compiler-Internal Machine Learning Tasks

Placing (Historical) Facts on a Timeline: A Classification cum Coref
  Resolution Approach

Electronic-structure properties from atom-centered predictions of the
  electron density

Equivariant Priors for Compressed Sensing with Unknown Orientation

Safe Exploration Incurs Nearly No Additional Sample Complexity for
  Reward-free RL

Deep Neural Networks pruning via the Structured Perspective

Modeling Extraneous Activity Delays in Business Process Simulation

Identification of storm eye from Satellite image data using fuzzy logic

Predicting the entire glassy dynamics from static structure by machine
  learning relative motion

On the amplification of security and privacy risks by post-hoc
  explanations in machine learning models

Fundamental Limits of Communication Efficiency for Model Aggregation in
  Distributed Learning: A Rate-Distortion Approach

BAGEL: A Benchmark for Assessing Graph Neural Network Explanations

Improving Disease Classification Performance and Explainability of Deep
  Learning Models in Radiology with Heatmap Generators

Smart Application for Fall Detection Using Wearable ECG & Accelerometer
  Sensors

Information Entropy Initialized Concrete Autoencoder for Optimal Sensor
  Placement and Reconstruction of Geophysical Fields

Dext-Gen: Dexterous Grasping in Sparse Reward Environments with Full
  Orientation Control

Analysis of Individual Conversational Volatility in Tandem
  Telecollaboration for Second Language Learning

Learning Gait Representation from Massive Unlabelled Walking Videos: A
  Benchmark

Multi-Prior Learning via Neural Architecture Search for Blind Face
  Restoration

Robustifying Vision Transformer without Retraining from Scratch by
  Test-Time Class-Conditional Feature Alignment

SLOVA: Uncertainty Estimation Using Single Label One-Vs-All Classifier

Extending Shinohara's Algorithm for Computing Descriptive
  (Angluin-Style) Patterns to Subsequence Patterns

Dependency Parsing with Backtracking using Deep Reinforcement Learning

QTI Submission to DCASE 2021: residual normalization for
  device-imbalanced acoustic scene classification with efficient design

AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE

The split Gibbs sampler revisited: improvements to its algorithmic
  structure and augmented target distribution

Feature Learning for Dimensionality Reduction toward Maximal Extraction
  of Hidden Patterns

Learning State Machines to Monitor and Detect Anomalies on a Kubernetes
  Cluster

Improving Worst Case Visual Localization Coverage via Place-specific
  Sub-selection in Multi-camera Systems

Disentangling Visual Embeddings with Minimal Distributional Assumptions

Simple and complex spiking neurons: perspectives and analysis in a
  simple STDP scenario

LiteCON: An All-Photonic Neuromorphic Accelerator for Energy-efficient
  Deep Learning (Preprint)

Get Your Memory Right: The Crispy Resource Allocation Assistant for
  Large-Scale Data Processing

When the Sun Goes Down: Repairing Photometric Losses for All-Day Depth

Cooperative Multi-Agent Search on Endogenously-Changing Fitness
  Landscapes

Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake
  Image Detection

Comparison of Speech Representations for the MOS Prediction System

Learning the Evolutionary and Multi-scale Graph Structure for
  Multivariate Time Series Forecasting

Speaker Verification in Multi-Speaker Environments Using Temporal
  Feature Fusion

FedRare: Federated Learning with Intra- and Inter-Client Contrast for
  Effective Rare Disease Classification

Improving Correlation Capture in Generating Imbalanced Data using
  Differentially Private Conditional GANs

Fewest-Switches Surface Hopping with Long Short-Term Memory Networks

Detecting Arbitrary Order Beneficial Feature Interactions for

Classification of ADHD Patients Using Kernel Hierarchical Extreme
  Learning Machine

Exploring linguistic feature and model combination for speech
  recognition based automatic AD detection

ECG Heartbeat classification using deep transfer learning with
  Convolutional Neural Network and STFT technique

DistSPECTRL: Distributing Specifications in Multi-Agent Reinforcement

Hyperspectral image reconstruction for spectral camera based on ghost
  imaging via sparsity constraints using V-DUnet

Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible
  Products Prediction

Fire Dragon and Unicorn Princess; Gender Stereotypes and Children's
  Products in Search Engine Responses

Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation
  and Instance Generation

Adversarial Consistency for Single Domain Generalization in Medical

H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP

A Comprehensive Survey on Deep Gait Recognition: Algorithms, Datasets

Persistent homology-based descriptor for machine-learning potential

Meta-Wrapper: Differentiable Wrapping Operator for User Interest
  Selection in CTR Prediction

NERDA-Con: Extending NER models for Continual Learning -- Integrating
  Distinct Tasks and Updating Distribution Shifts

Secure Forward Aggregation for Vertical Federated Neural Networks

SHELS: Exclusive Feature Sets for Novelty Detection and Continual
  Learning Without Class Boundaries

A Combination of Host Overloading Detection and Virtual Machine
  Selection in Cloud Server Consolidation based on Learning Method

Split Two-Tower Model for Efficient and Privacy-Preserving Cross-device
  Federated Recommendation

Generalized Policy Improvement Algorithms with Theoretically Supported
  Sample Reuse

Traffic Management of Autonomous Vehicles using Policy Based Deep
  Reinforcement Learning and Intelligent Routing

Photometric redshift estimates using Bayesian neural networks in the
  CSST survey

Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting

Learning from human perception to improve automatic speaker verification
  in style-mismatched conditions

Attention-based conditioning methods using variable frame rate for
  style-robust speaker verification

Towards Global-Scale Crowd+AI Techniques to Map and Assess Sidewalks for
  People with Disabilities

TTS-CGAN: A Transformer Time-Series Conditional GAN for Biosignal Data

DigiTac: A DIGIT-TacTip Hybrid Tactile Sensor for Comparing Low-Cost
  High-Resolution Robot Touch

Classifying Unidentified X-ray Sources in the Chandra Source Catalog
  Using a Multi-wavelength Machine Learning Approach

Deployment of ML Models using Kubeflow on Different Cloud Providers

Wav2Vec-Aug: Improved self-supervised training with limited data

On bounds for norms of reparameterized ReLU artificial neural network
  parameters: sums of fractional powers of the Lipschitz norm control the
  network parameter vector

"Explanation" is Not a Technical Term: The Problem of Ambiguity in XAI

Omni-Seg+: A Scale-aware Dynamic Network for Pathological Image

Learning Semantics-Aware Locomotion Skills from Human Demonstration

Toward an ImageNet Library of Functions for Global Optimization
  Benchmarking

Nonparametric, Nonasymptotic Confidence Bands with Paley-Wiener Kernels
  for Band-Limited Functions

Multi-scale Network with Attentional Multi-resolution Fusion for Point
  Cloud Semantic Segmentation

Learning constitutive models from microstructural simulations via a
  non-intrusive reduced basis method: Extension to geometrical
  parameterizations

Quantification of Deep Neural Network Prediction Uncertainties for VVUQ

DeepPERF: A Deep Learning-Based Approach For Improving Software

Measuring and Clustering Network Attackers using Medium-Interaction
  Honeypots

Flexible-Rate Learned Hierarchical Bi-Directional Video Compression With
  Motion Refinement and Frame-Level Bit Allocation

ClearBuds: Wireless Binaural Earbuds for Learning-Based Speech

Reducing Annotation Need in Self-Explanatory Models for Lung Nodule
  Diagnosis

On-device Synaptic Memory Consolidation using Fowler-Nordheim
  Quantum-tunneling

BeamsNet: A data-driven Approach Enhancing Doppler Velocity Log
  Measurements for Autonomous Underwater Vehicle Navigation

Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance
  Matching

Heterogeneous mixtures of dictionary functions to approximate subspace
  invariance in Koopman operators

Materials Transformers Language Models for Generative Materials Design:
  a benchmark study

ST-Adapter: Parameter-Efficient Image-to-Video Transfer Learning

Multiscale entropy analysis of astronomical time series. Discovering
  subclusters of hybrid pulsators

Programmatic Concept Learning for Human Motion Description and Synthesis

Prompting Decision Transformer for Few-Shot Policy Generalization

Auditing Visualizations: Transparency Methods Struggle to Detect
  Anomalous Behavior

Robustness Implies Generalization via Data-Dependent Generalization
  Bounds

Tidal disruption events from eccentric orbits and lessons learned from
  the noteworthy ASASSN-14ko

Effective training-time stacking for ensembling of deep neural networks

Positive-definite parametrization of mixed quantum states with deep

Understanding Benign Overfitting in Gradient-Based Meta Learning

Impact of Acoustic Event Tagging on Scene Classification in a Multi-Task

Variational Autoencoder Assisted Neural Network Likelihood RSRP

Iso-CapsNet: Isomorphic Capsule Network for Brain Graph Representation
  Learning

When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online

Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub
  Robot

"Double vaccinated, 5G boosted!": Learning Attitudes towards COVID-19
  Vaccination from Social Media

CopyCat2: A Single Model for Multi-Speaker TTS and Many-to-Many
  Fine-Grained Prosody Transfer

EMVLight: a Multi-agent Reinforcement Learning Framework for an
  Emergency Vehicle Decentralized Routing and Traffic Signal Control System

ContraReg: Contrastive Learning of Multi-modality Unsupervised
  Deformable Image Registration

Interpretable Hidden Markov Model-Based Deep Reinforcement Learning
  Hierarchical Framework for Predictive Maintenance of Turbofan Engines

Kinematic Variables and Feature Engineering for Particle Phenomenology

Incivility Detection in Open Source Code Review and Issue Discussions

Adaptive Step Size Learning with Applications to Velocity Aided Inertial
  Navigation System

Benchopt: Reproducible, efficient and collaborative optimization
  benchmarks

DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded
  Hessian for Stripe Artifact Removal in Light-sheet Microscopy

Learning To Cut By Looking Ahead: Cutting Plane Selection via Imitation
  Learning

Explicitly incorporating spatial information to recurrent networks for
  agriculture

Utilizing Class Separation Distance for the Evaluation of Corruption
  Robustness of Machine Learning Classifiers

Guillotine Regularization: Improving Deep Networks Generalization by
  Removing their Head

Stability Verification of Neural Network Controllers using Mixed-Integer

Interpretable Acoustic Representation Learning on Breathing and Speech
  Signals for COVID-19 Detection

A Simple and Scalable Tensor Completion Algorithm via Latent Invariant
  Constraint for Recommendation System

Distributional Gaussian Processes Layers for Out-of-Distribution
  Detection

A fully differentiable ligand pose optimization framework guided by deep
  learning and traditional scoring functions

Continual Learning of Dynamical Systems with Competitive Federated
  Reservoir Computing

Accurate and fast identification of minimally prepared bacteria
  phenotypes using Raman spectroscopy assisted by machine learning

A penalisation method for batch multi-objective Bayesian optimisation
  with application in heat exchanger design

BashExplainer: Retrieval-Augmented Bash Code Comment Generation based on
  Fine-tuned CodeBERT

Safe, Learning-Based MPC for Highway Driving under Lane-Change
  Uncertainty: A Distributionally Robust Approach

Key-frame Guided Network for Thyroid Nodule Recognition using Ultrasound
  Videos

Automatic identification of segmentation errors for radiotherapy using
  geometric learning

Path Integral Stochastic Optimal Control for Sampling Transition Paths

Humans are not Boltzmann Distributions: Challenges and Opportunities for
  Modelling Human Feedback and Interaction in Reinforcement Learning

Insights into Deep Non-linear Filters for Improved Multi-channel Speech

Supernova Light Curves Approximation based on Neural Network Models

PARTICUL: Part Identification with Confidence measure using Unsupervised
  Learning

A Multilingual Dataset of COVID-19 Vaccination Attitudes on Twitter

Consistency-preserving Visual Question Answering in Medical Imaging

Diffusion Deformable Model for 4D Temporal Medical Image Generation

Theoretical analysis of Adam using hyperparameters close to one without
  Lipschitz smoothness

Linguistic Correlation Analysis: Discovering Salient Neurons in deepNLP
  models

Sum-of-Squares Relaxations for Information Theory and Variational
  Inference

Which one is more toxic? Findings from Jigsaw Rate Severity of Toxic
  Comments

Deep-Learning vs Regression: Prediction of Tourism Flow with Limited
  Data

Wideband Audio Waveform Evaluation Networks: Efficient, Accurate
  Estimation of Speech Qualities

The Performance of Wasserstein Distributionally Robust M-Estimators in
  High Dimensions

Learning with Weak Annotations for Robust Maritime Obstacle Detection

Finite Littlestone Dimension Implies Finite Information Complexity

A Topic-Attentive Transformer-based Model For Multimodal Depression
  Detection

Knowledge-aware Neural Collective Matrix Factorization for Cross-domain

Attack Agnostic Dataset: Towards Generalization and Stabilization of
  Audio DeepFake Detection

Cracking nuts with a sledgehammer: when modern graph neural networks do
  worse than classical greedy algorithms

Human-AI Collaboration in Decision-Making: Beyond Learning to Defer

Regularization of Inverse Problems: Deep Equilibrium Models versus
  Bilevel Learning

Differentially Private Federated Combinatorial Bandits with Constraints

Advancing Education Through Extended Reality and Internet of Everything
  Enabled Metaverses: Applications, Challenges, and Open Issues

Prisoners of Their Own Devices: How Models Induce Data Bias in
  Performative Prediction

Discrete Morse Sandwich: Fast Computation of Persistence Diagrams for
  Scalar Data -- An Algorithm and A Benchmark

Context-Aware Transformers For Spinal Cancer Detection and Radiological
  Grading

Measuring and Improving the Use of Graph Information in Graph Neural
  Networks

Endowing Language Models with Multimodal Knowledge Graph Representations

Bi-VLDoc: Bidirectional Vision-Language Modeling for Visually-Rich

Evaluating resampling methods on a real-life highly imbalanced online
  credit card payments dataset

Representing motion as a sequence of latent primitives, a flexible
  approach for human motion modelling

Rapid detection of phase transitions from Monte Carlo samples before
  equilibrium

Extracting Weighted Finite Automata from Recurrent Neural Networks for
  Natural Languages

Revisiting Architecture-aware Knowledge Distillation: Smaller Models and
  Faster Search

Unsupervised Domain Adaptation Using Feature Disentanglement And GCNs
  For Medical Image Classification

Optimal Private Payoff Manipulation against Commitment in Extensive-form
  Games

SARNet: Semantic Augmented Registration of Large-Scale Urban Point
  Clouds

Transfer learning for ensembles: reducing computation time and keeping
  the diversity

Lesion-Aware Contrastive Representation Learning for Histopathology
  Whole Slide Images Analysis

Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with
  Relational Reasoning

Enhancing Stochastic Petri Net-based Remaining Time Prediction using
  k-Nearest Neighbors

AdaSparse: Learning Adaptively Sparse Structures for Multi-Domain

A mixed formulation for physics-informed neural networks as a potential
  solver for engineering problems in heterogeneous domains: comparison with
  finite element method

Modeling Content Creator Incentives on Algorithm-Curated Platforms

SpeechEQ: Speech Emotion Recognition based on Multi-scale Unified
  Datasets and Multitask Learning

Zero Stability Well Predicts Performance of Convolutional Neural
  Networks

A Zero-Shot Classification Approach for a Word-Guessing Challenge

Variance Reduced Random Relaxed Projection Method for Constrained
  Finite-sum Minimization Problems

Agreement-on-the-Line: Predicting the Performance of Neural Networks
  under Distribution Shift

Sound Model Factory: An Integrated System Architecture for Generative
  Audio Modelling

Usability Testing untuk Mengukur Kepuasaan Pengguna Website Mailo Store

PST: Plant Segmentation Transformer for 3D Point Clouds of rapeseed
  plants at the podding stage

Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with
  Class Imbalance

Improving Clinical Efficiency and Reducing Medical Errors through
  NLP-enabled diagnosis of Health Conditions from Transcription Reports

SearchMorph:Multi-scale Correlation Iterative Network for Deformable

Leveraging Language for Accelerated Learning of Tool Manipulation

Detection of Doctored Speech: Towards an End-to-End Parametric
  Learn-able Filter Approach

DPOAD: Differentially Private Outsourcing of Anomaly Detection through
  Iterative Sensitivity Learning

Automated Systems For Diagnosis of Dysgraphia in Children: A Survey and
  Novel Framework

A Strategy Optimized Pix2pix Approach for SAR-to-Optical Image

Normalized/Clipped SGD with Perturbation for Differentially Private
  Non-Convex Optimization

Multi-Scale Spatial Temporal Graph Convolutional Network for
  Skeleton-Based Action Recognition

Towards Harnessing Feature Embedding for Robust Learning with Noisy
  Labels

Unsupervised Instance Discriminative Learning for Depression Detection
  from Speech Signals

FlowX: Towards Explainable Graph Neural Networks via Message Flows

Improving Policy Optimization with Generalist-Specialist Learning

Explainable and High-Performance Hate and Offensive Speech Detection

Detecting Schizophrenia with 3D Structural Brain MRI Using Deep Learning

VLCap: Vision-Language with Contrastive Learning for Coherent Video
  Paragraph Captioning

RF Signal Classification with Synthetic Training Data and its Real-World

Probabilistic PolarGMM: Unsupervised Cluster Learning of Very Noisy
  Projection Images of Unknown Pose

Improving the Training Recipe for a Robust Conformer-based Hybrid Model

Using Machine Learning to Improve Neutron Identification in Water
  Cherenkov Detectors

AFT-VO: Asynchronous Fusion Transformers for Multi-View Visual Odometry

PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning

Learning neural state-space models: do we need a state estimator?

Video Activity Localisation with Uncertainties in Temporal Boundary

TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification

Video Anomaly Detection via Prediction Network with Enhanced
  Spatio-Temporal Memory Exchange

Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution
  Detection

Tackling Asymmetric and Circular Sequential Social Dilemmas with
  Reinforcement Learning and Graph-based Tit-for-Tat

Towards KAB2S: Learning Key Knowledge from Single-Objective Problems to
  Multi-Objective Problem

Are We All in a Truman Show? Spotting Instagram Crowdturfing through
  Self-Training

ETO Meets Scheduling: Learning Key Knowledge from Single-Objective
  Problems to Multi-Objective Problem

Noise-aware Physics-informed Machine Learning for Robust PDE Discovery

FAIR-BFL: Flexible and Incentive Redesign for Blockchain-based Federated
  Learning

$k$-Median Clustering via Metric Embedding: Towards Better
  Initialization with Differential Privacy

Meta-material Sensor Based Internet of Things: Design, Optimization, and
  Implementation

FingerGAN: A Constrained Fingerprint Generation Scheme for Latent
  Fingerprint Enhancement

Estimating Link Flows in Road Networks with Synthetic Trajectory Data
  Generation: Reinforcement Learning-based Approaches

Edge Direction-invariant Graph Neural Networks for Molecular Dipole
  Moments Prediction

Contextual embedding and model weighting by fusing domain knowledge on
  Biomedical Question Answering

Transport-Oriented Feature Aggregation for Speaker Embedding Learning

Two-Stage Neural Contextual Bandits for Personalised News Recommendation

Semantic Role Aware Correlation Transformer for Text to Video Retrieval

RoME: Role-aware Mixture-of-Expert Transformer for Text-to-Video
  Retrieval

How should we proxy for race/ethnicity? Comparing Bayesian improved
  surname geocoding to machine learning methods

Your Autoregressive Generative Model Can be Better If You Treat It as an
  Energy-Based One

Repository-Level Prompt Generation for Large Language Models of Code

Prediction Errors for Penalized Regressions based on Generalized
  Approximate Message Passing

On Comparison of Encoders for Attention based End to End Speech
  Recognition in Standalone and Rescoring Mode

Breast Cancer Classification using Deep Learned Features Boosted with
  Handcrafted Features

Towards Representation Alignment and Uniformity in Collaborative
  Filtering

Bounding the Width of Neural Networks via Coupled Initialization -- A
  Worst Case Analysis

Multiple Instance Learning with Mixed Supervision in Gleason Grading

Transferring Fairness under Distribution Shifts via Fair Consistency

APPFLChain: A Privacy Protection Distributed Artificial-Intelligence
  Architecture Based on Federated Learning and Consortium Blockchain

Representative Teacher Keys for Knowledge Distillation Model Compression
  Based on Attention Mechanism for Image Classification

Evolutionary Preference Learning via Graph Nested GRU ODE for
  Session-based Recommendation

Meta Auxiliary Learning for Low-resource Spoken Language Understanding

Exploiting Transformation Invariance and Equivariance for
  Self-supervised Sound Localisation

Malware Detection and Prevention using Artificial Intelligence

Low-resource Accent Classification in Geographically-proximate Settings:
  A Forensic and Sociophonetics Perspective

Predicting the Need for Blood Transfusion in Intensive Care Units with

Design and Analysis of Robust Resilient Diffusion over Multi-Task
  Networks Against Byzantine Attacks

HyGNN: Drug-Drug Interaction Prediction via Hypergraph Neural Network

Sequential image recovery using joint hierarchical Bayesian learning

On how to avoid exacerbating spurious correlations when models are
  overparameterized

Self-Supervised 3D Monocular Object Detection by Recycling Bounding
  Boxes

Cascading Failures in Smart Grids under Random, Targeted and Adaptive
  Attacks

Aligning Artificial Intelligence with Humans through Public Policy

SiMa: Effective and Efficient Data Silo Federation Using Graph Neural
  Networks

Learning Preconditions of Hybrid Force-Velocity Controllers for
  Contact-Rich Manipulation

Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the
  Large-Composition Regime

Hierarchical Reinforcement Learning with Opponent Modeling for
  Distributed Multi-agent Cooperation

Defending Multimodal Fusion Models against Single-Source Adversaries

Bayesian Optimization Over Iterative Learners with Structured Responses:
  A Budget-aware Planning Approach

Solution and Fitness Evolution (SAFE): Coevolving Solutions and Their
  Objective Functions

Binary and Multinomial Classification through Evolutionary Symbolic

Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest
  X-rays

Towards Modern Card Games with Large-Scale Action Spaces Through Action

Data Augmentation techniques in time series domain: A survey and
  taxonomy

Render unto Numerics : Orthogonal Polynomial Neural Operator for PDEs
  with Non-periodic Boundary Conditions

RandStainNA: Learning Stain-Agnostic Features from Histology Slides by
  Bridging Stain Augmentation and Normalization

Improving Data-driven Heterogeneous Treatment Effect Estimation Under
  Structure Uncertainty

Defense against adversarial attacks on deep convolutional neural
  networks through nonlocal denoising

Minority Report: A Graph Network Oracle for In Situ Visualization

Envelope imbalanced ensemble model with deep sample learning and
  local-global structure consistency

Learning to Infer 3D Shape Programs with Differentiable Renderer

Guided Exploration in Reinforcement Learning via Monte Carlo Critic

Learning to Evolve Structural Ensembles of Unfolded and Disordered
  Proteins Using Experimental Solution Data

Statistical inference with implicit SGD: proximal Robbins-Monro vs.
  Polyak-Ruppert

Review on Social Behavior Analysis of Laboratory Animals: From
  Methodologies to Applications

Machine Learning-based Biological Ageing Estimation Technologies: A
  Survey

Tensor Recovery Based on A Novel Non-convex Function Minimax Logarithmic
  Concave Penalty Function

Asymptotic-Preserving Neural Networks for multiscale hyperbolic models
  of epidemic spread

SAT: Self-adaptive training for fashion compatibility prediction

Learn to Predict How Humans Manipulate Large-sized Objects from
  Interactive Motions

The Efficient Market Hypothesis for Bitcoin in the context of neural
  networks

Mitigating sampling bias in risk-based active learning via an EM
  algorithm

Non-iterative Coarse-to-fine Registration based on Single-pass Deep
  Cumulative Learning

Asymmetric Transfer Hashing with Adaptive Bipartite Graph Learning

Unsupervised Graph Neural Network Reveals the Structure--Dynamics
  Correlation in Disordered Systems

Making Look-Ahead Active Learning Strategies Feasible with Neural
  Tangent Kernels

Functional Optimization Reinforcement Learning for Real-Time Bidding

Self-supervision and Learnable STRFs for Age, Emotion, and Country

Generating Diverse Vocal Bursts with StyleGAN2 and MEL-Spectrograms

PLATON: Pruning Large Transformer Models with Upper Confidence Bound of
  Weight Importance

On Attack-Resilient Service Placement and Availability in Edge-enabled
  IoV Networks

Self-supervised Context-aware Style Representation for Expressive Speech
  Synthesis

FastBVP-Net: a lightweight pulse simulation network for measuring heart
  rhythm via facial videos

On Block Accelerations of Quantile Randomized Kaczmarz for Corrupted
  Systems of Linear Equations

Integrating Machine Learning with Discrete Event Simulation for
  Improving Health Referral Processing in a Care Management Setting

A Fast, Well-Founded Approximation to the Empirical Neural Tangent
  Kernel

Value-Consistent Representation Learning for Data-Efficient

Visual Auditor: Interactive Visualization for Detection and
  Summarization of Model Biases

Robustness Evaluation of Deep Unsupervised Learning Algorithms for
  Intrusion Detection Systems

SLIC: Self-Supervised Learning with Iterative Clustering for Human
  Action Videos

From Shallow to Deep: Compositional Reasoning over Graphs for Visual

Predicting Stock Price Movement after Disclosure of Corporate Annual
  Reports: A Case Study of 2021 China CSI 300 Stocks

Infinite Impulse Response Graph Neural Networks for Cyberattack
  Localization in Smart Grids

Learning to learn online with neuromodulated synaptic plasticity in

Domain Generalization with Relaxed Instance Frequency-wise Normalization
  for Multi-device Acoustic Scene Classification

FetReg2021: A Challenge on Placental Vessel Segmentation and
  Registration in Fetoscopy

Stain Based Contrastive Co-training for Histopathological Image Analysis

Multitask vocal burst modeling with ResNets and pre-trained
  paralinguistic Conformers

RAPid-Learn: A Framework for Learning to Recover for Handling Novelties
  in Open-World Environments

Arithmetic Circuits, Structured Matrices and (not so) Deep Learning

Predicting within and across language phoneme recognition performance of
  self-supervised learning speech pre-trained models

Variational Bayesian inference for CP tensor completion with side

An Intensity and Phase Stacked Analysis of Phase-OTDR System using Deep
  Transfer Learning and Recurrent Neural Networks

Attention-Guided Autoencoder for Automated Progression Prediction of
  Subjective Cognitive Decline with Structural MRI

Deep-learning Real/Bogus classification for the Tomo-e Gozen transient
  survey

Adaptive Neural Network Stochastic-Filter-based Controller for Attitude
  Tracking with Disturbance Rejection

Burst2Vec: An Adversarial Multi-Task Approach for Predicting Emotion,
  Age, and Origin from Vocal Bursts

Risk-averse Contextual Multi-armed Bandit Problem with Linear Payoffs

Bag of Tricks for Long-Tail Visual Recognition of Animal Species in
  Camera-Trap Images

Vibration fault detection in wind turbines based on normal behaviour
  models without feature engineering

Fast and Optimal Adaptive Tracking Control: A Novel Meta-Reinforcement
  Learning via Conditional Generative Adversarial Net

Value Function Decomposition for Iterative Design of Reinforcement
  Learning Agents

A Machine Learning Approach for Rate Constants III: Application to the
  Cl($^2$P) + CH$_4$ $\rightarrow$ CH$_3$ + HCl Reaction

Joint Representation Training in Sequential Tasks with Shared Structure

Transitions in the learnability of global charges from local
  measurements

ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddings

Predicting the Stability of Hierarchical Triple Systems with

Debiasing Learning for Membership Inference Attacks Against Recommender
  Systems

QAGAN: Adversarial Approach To Learning Domain Invariant Language
  Features

VIP Hashing -- Adapting to Skew in Popularity of Data on the Fly
  (extended version)

From Tensor Network Quantum States to Tensorial Recurrent Neural
  Networks

Robustness to corruption in pre-trained Bayesian neural networks

HM3D-ABO: A Photo-realistic Dataset for Object-centric Multi-view 3D

Megapixel Image Generation with Step-Unrolled Denoising Autoencoders

MPC-based Imitation Learning for Safe and Human-like Autonomous Driving

Segmentation-free PVC for Cardiac SPECT using a Densely-connected
  Multi-dimensional Dynamic Network

HANF: Hyperparameter And Neural Architecture Search in Federated
  Learning

Toward multi-target self-organizing pursuit in a partially observable
  Markov game

Source Localization of Graph Diffusion via Variational Autoencoders for
  Graph Inverse Problems

A Deep Learning Approach to Nonconvex Energy Minimization for
  Martensitic Phase Transitions

ModLaNets: Learning Generalisable Dynamics via Modularity and Physical
  Inductive Bias

On the Importance of Application-Grounded Experimental Design for
  Evaluating Explainable ML Methods

Deep Active Learning for Regression Using $ε$-weighted Hybrid
  Query Strategy

Learning sparse features can lead to overfitting in neural networks

Analyzing the impact of SARS-CoV-2 variants on respiratory sound signals

PSP: Million-level Protein Sequence Dataset for Protein Structure

Automatic extraction of coronary arteries using deep learning in
  invasive coronary angiograms

Learning Rhetorical Structure Theory-based descriptions of observed
  behaviour

Speech Quality Assessment through MOS using Non-Matching References

Iterative Sound Source Localization for Unknown Number of Sources

Physically Consistent Learning of Conservative Lagrangian Systems with

Using Autoencoders on Differentially Private Federated Learning GANs

Data-driven reduced order models using invariant foliations, manifolds
  and autoencoders

Machine Learning for the edge energies of high symmetry Au nanoparticles

Multi-relational Instruction Association Graph for Cross-architecture
  Binary Similarity Comparison

Deformable CNN and Imbalance-Aware Feature Learning for Singing
  Technique Classification

Adversarial Robustness of Deep Neural Networks: A Survey from a Formal
  Verification Perspective

Reaching the End of Unbiasedness: Uncovering Implicit Limitations of
  Click-Based Learning to Rank

Bioinspired composite learning control under discontinuous friction for
  industrial robots

Computational Complexity Evaluation of Neural Network Applications in
  Signal Processing

SECLEDS: Sequence Clustering in Evolving Data Streams via Multiple
  Medoids and Medoid Voting

Dynamic network congestion pricing based on deep reinforcement learning

ML-Based Approach for NFL Defensive Pass Interference Prediction Using
  GPS Tracking Data

Modeling membrane curvature generation using mechanics and machine
  learning

Does Self-supervised Learning Really Improve Reinforcement Learning from
  Pixels?

Is Self-Supervised Learning More Robust Than Supervised Learning?

Rethinking Spatial Invariance of Convolutional Networks for Object
  Counting

Lost in Transmission: On the Impact of Networking Corruptions on Video

Accelerated Algorithms for Monotone Inclusion and Constrained
  Nonconvex-Nonconcave Min-Max Optimization

List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering

ROI-Constrained Bidding via Curriculum-Guided Bayesian Reinforcement
  Learning

Debiased Semiparametric U-Statistics: Machine Learning Inference on
  Inequality of Opportunity

On the generalizability of machine-learning-assisted anisotropy mappings
  for predictive turbulence modelling

ClamNet: Using contrastive learning with variable depth Unets for

A Multi-Task Benchmark for Korean Legal Language Understanding and
  Judgement Prediction

ProActive: Self-Attentive Temporal Point Process Flows for Activity
  Sequences

A new distance measurement and its application in K-Means Algorithm

Extending Process Discovery with Model Complexity Optimization and
  Cyclic States Identification: Application to Healthcare Processes

On Convergence of FedProx: Local Dissimilarity Invariant Bounds,
  Non-smoothness and Beyond

GD-VAEs: Geometric Dynamic Variational Autoencoders for Learning
  Nonlinear Dynamics and Dimension Reductions

Lightweight Conditional Model Extrapolation for Streaming Data under
  Class-Prior Shift

A Causal Research Pipeline and Tutorial for Psychologists and Social
  Scientists

How Much is Enough? A Study on Diffusion Times in Score-based Generative
  Models

Bayesian calibration of coupled computational mechanics models under
  uncertainty based on interface deformation

An Image Processing Pipeline for Camera Trap Time-Lapse Recordings

Teacher Perception of Automatically Extracted Grammar Concepts for L2

Weakly-supervised segmentation using inherently-explainable
  classification models and their application to brain tumour classification

Finite electro-elasticity with physics-augmented neural networks

Real-time Hyper-Dimensional Reconfiguration at the Edge using Hardware
  Accelerators

Deep Multi-Agent Reinforcement Learning with Hybrid Action Spaces based
  on Maximum Entropy

Hankel low-rank approximation and completion in time series analysis and
  forecasting: a brief review

Saccade Mechanisms for Image Classification, Object Detection and
  Tracking

Explainable AI for Suicide Risk Assessment Using Eye Activities and Head
  Gestures

Learning self-calibrated optic disc and cup segmentation from
  multi-rater annotations

Muffliato: Peer-to-Peer Privacy Amplification for Decentralized
  Optimization and Averaging

Policy Gradient Reinforcement Learning for Uncertain Polytopic LPV
  Systems based on MHE-MPC

Fundamental Limits in Formal Verification of Message-Passing Neural
  Networks

Boosting current-induced molecular dynamics with machine-learning
  potential

Social Network Structure Shapes Innovation: Experience-sharing in RL
  with SAPIENS

From Labels to Priors in Capsule Endoscopy: A Prior Guided Approach for
  Improving Generalization with Few Labels

Feature-aware Diversified Re-ranking with Disentangled Representations
  for Relevant Recommendation

Subjective Quality Assessment for Images Generated by Computer Graphics

Artificial Intelligence Enabled NOMA Towards Next Generation Multiple
  Access

Unsupervised and Few-shot Parsing from Pretrained Language Models

Convolutional Layers are Equivariant to Discrete Shifts But Not
  Continuous Translations

NR-DFERNet: Noise-Robust Network for Dynamic Facial Expression

Causal Discovery in Hawkes Processes by Minimum Description Length

What Information is Necessary and Sufficient to Predict Materials
  Properties using Machine Learning?

Deep Learning-based Massive MIMO CSI Acquisition for 5G Evolution and 6G

Think About the Stakeholders First! Towards an Algorithmic Transparency
  Playbook for Regulatory Compliance

Feature Learning and Ensemble Pre-Tasks Based Self-Supervised Speech
  Denoising and Dereverberation

Merak: An Efficient Distributed DNN Training Framework with Automated 3D
  Parallelism for Giant Foundation Models

Evolutionary Echo State Network: evolving reservoirs in the Fourier
  space

Deep Multi-view Semi-supervised Clustering with Sample Pairwise

A Report on Achieving Complete Regular-Expression Matching using Mealy
  Machines

Decoupling Predictions in Distributed Learning for Multi-Center Left
  Atrial MRI Segmentation

Neural Template: Topology-aware Reconstruction and Disentangled
  Generation of 3D Meshes

Response to: Significance and stability of deep learning-based
  identification of subtypes within major psychiatric disorders. Molecular
  Psychiatry (2022)

A bio-inspired implementation of a sparse-learning spike-based
  hippocampus memory model

A Novel Chinese Dialect TTS Frontend with Non-Autoregressive Neural

Offline Stochastic Shortest Path: Learning, Evaluation and Towards
  Optimality

Fisher SAM: Information Geometry and Sharpness Aware Minimisation

PatchComplete: Learning Multi-Resolution Patch Priors for 3D Shape
  Completion on Unseen Categories

NAGphormer: A Tokenized Graph Transformer for Node Classification in
  Large Graphs

Towards predicting dynamic stability of power grids with Graph Neural
  Networks

Seeing the forest and the tree: Building representations of both
  individual and collective dynamics with transformers

Efficient Heterogeneous Treatment Effect Estimation With Multiple
  Experiments and Multiple Outcomes

Out of Sight, Out of Mind: A Source-View-Wise Feature Aggregation for
  Multi-View Image-Based Rendering

Less Is More: Linear Layers on CLIP Features as Powerful VizWiz Model

A Synapse-Threshold Synergistic Learning Approach for Spiking Neural
  Networks

Provable Guarantees for Sparsity Recovery with Deterministic Missing
  Data Patterns

$\mathsf{G^2Retro}$: Two-Step Graph Generative Models for Retrosynthesis

Projecting onto rectangular hyperbolic paraboloids in Hilbert space

Emoji-based Fine-grained Attention Network for Sentiment Analysis in the
  Microblog Comments

Binarizing Split Learning for Data Privacy Enhancement and Computation
  Reduction

Conformal Prediction Intervals for Markov Decision Process Trajectories

Mixed integer linear optimization formulations for learning optimal
  binary classification trees

Beyond the Gates of Euclidean Space: Temporal-Discrimination-Fusions and
  Attention-based Graph Neural Network for Human Activity Recognition

Feature-informed Embedding Space Regularization For Audio Classification

Neural Laplace: Learning diverse classes of differential equations in
  the Laplace domain

Hierarchical mixtures of Gaussians for combined dimensionality reduction
  and clustering

A Correlation-Ratio Transfer Learning and Variational Stein's Paradox

In Defense of Core-set: A Density-aware Core-set Selection for Active
  Learning

Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality
  Registration of Cardiac SPECT and CT

Communication Efficient Distributed Learning for Kernelized Contextual
  Bandits

Machine learning prediction of network dynamics with privacy protection

The Slingshot Mechanism: An Empirical Study of Adaptive Optimizers and
  the Grokking Phenomenon

Low-dissipation self-assembly protocols of active sticky particles

Deep learning-enhanced ensemble-based data assimilation for
  high-dimensional nonlinear dynamical systems

CrowdWorkSheets: Accounting for Individual and Collective Identities
  Underlying Crowdsourced Dataset Annotation

Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex
  Evolving Data Stream

Learn2Augment: Learning to Composite Videos for Data Augmentation in

Building Spatio-temporal Transformers for Egocentric 3D Pose Estimation

On the Bias-Variance Characteristics of LIME and SHAP in High Sparsity
  Movie Recommendation Explanation Tasks

ReFace: Real-time Adversarial Attacks on Face Recognition Systems

Challenges and Opportunities in Offline Reinforcement Learning from
  Visual Observations

Trimmed Maximum Likelihood Estimation for Robust Learning in Generalized
  Linear Models

What should AI see? Using the Public's Opinion to Determine the
  Perception of an AI

Does a Technique for Building Multimodal Representation Matter? --
  Comparative Analysis

Joint Entropy Search for Maximally-Informed Bayesian Optimization

Data-Efficient Double-Win Lottery Tickets from Robust Pre-training

An Empirical Study on Disentanglement of Negative-free Contrastive
  Learning

HDTorch: Accelerating Hyperdimensional Computing with GP-GPUs for Design

Mildly Conservative Q-Learning for Offline Reinforcement Learning

Mobility Improves the Convergence of Asynchronous Federated Learning

Quantum Policy Iteration via Amplitude Estimation and Grover Search --
  Towards Quantum Advantage for Reinforcement Learning

A Learning-Theoretic Framework for Certified Auditing with Explanations

I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on
  Hypergraphs

A Novel Partitioned Approach for Reduced Order Model -- Finite Element
  Model (ROM-FEM) and ROM-ROM Coupling

Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel
  Recombination

AI-MIA: COVID-19 Detection & Severity Analysis through Medical Imaging

Leveraging Centric Data Federated Learning Using Blockchain For
  Integrity Assurance

STNDT: Modeling Neural Population Activity with a Spatiotemporal

COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive
  Learning

Persistent Homology with k-nearest-neighbor Filtrations reveals
  Topological Convergence of PageRank

Modular design patterns for neural-symbolic integration: refinement and
  combination

(Meta) Competences for Digital Practice: Educational Scenarios for the
  Workplace of the Future Exemplified by Building Information Modeling Work
  Processes

On the Unreasonable Effectiveness of Federated Averaging with

Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional
  MoEs

Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields

Extreme Masking for Learning Instance and Distributed Visual

Provably efficient variational generative modeling of quantum many-body
  systems via quantum-probabilistic information geometry

DiSparse: Disentangled Sparsification for Multitask Model Compression

VideoINR: Learning Video Implicit Neural Representation for Continuous
  Space-Time Super-Resolution

Minimax Optimal Algorithms for Fixed-Budget Best Arm Identification

Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from

AttX: Attentive Cross-Connections for Fusion of Wearable Signals in

Factuality Enhanced Language Models for Open-Ended Text Generation

A Critical Review on the Use (and Misuse) of Differential Privacy in

Beyond the Imitation Game: Quantifying and extrapolating the
  capabilities of language models

Explicit Regularization in Overparametrized Models via Noise Injection

Linear Delta Arrays for Compliant Dexterous Distributed Manipulation

Field Level Neural Network Emulator for Cosmological N-body Simulations

Privacy Leakage in Text Classification: A Data Extraction Approach

Optimal SQ Lower Bounds for Robustly Learning Discrete Product
  Distributions and Ising Models

Extracting Zero-shot Common Sense from Large Language Models for Robot
  3D Scene Understanding

Efficient and Robust 2D-to-BEV Representation Learning via
  Geometry-guided Kernel Transformer

Transformer based Urdu Handwritten Text Optical Character Reader

Simple lessons from complex learning: what a neural network model learns
  about cosmic structure formation

Benefits of Overparameterized Convolutional Residual Networks: Function
  Approximation under Smoothness Constraint

A Spectral Representation of Kernel Stein Discrepancy with Application
  to Goodness-of-Fit Tests for Measures on Infinite Dimensional Hilbert Spaces

A Relational Intervention Approach for Unsupervised Dynamics
  Generalization in Model-Based Reinforcement Learning

Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal

DogTouch: CNN-based Recognition of Surface Textures by Quadruped Robot
  with High Density Tactile Sensors

A deep learning method for the trajectory reconstruction of cosmic rays
  with the DAMPE mission

Accurate Node Feature Estimation with Structured Variational Graph

AAM-Gym: Artificial Intelligence Testbed for Advanced Air Mobility

What is a Good Metric to Study Generalization of Minimax Learners?

Unlearning Protected User Attributes in Recommendations with Adversarial
  Training

Mitigating Modality Collapse in Multimodal VAEs via Impartial

Distributionally Preference Robust Optimization in Multi-Attribute
  Decision Making

Human Activity Recognition from Knee Angle Using Machine Learning

Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning

Early Transferability of Adversarial Examples in Deep Neural Networks

Towards Understanding Graph Neural Networks: An Algorithm Unrolling

SDQ: Stochastic Differentiable Quantization with Mixed Precision

Choosing Answers in $\varepsilon$-Best-Answer Identification for Linear
  Bandits

Draft-and-Revise: Effective Image Generation with Contextual
  RQ-Transformer

Simulation, Modeling and Prediction of a Pharmacodynamic Animal Tissue
  Culture Compartment Model by Physical Informed Neural Network

Convolutional Dictionary Learning by End-To-End Training of Iterative

Towards Safe Reinforcement Learning via Constraining Conditional
  Value-at-Risk

Regret Analysis of Certainty Equivalence Policies in Continuous-Time
  Linear-Quadratic Systems

Discriminative and Generative Learning for Linear Estimation of Random
  Signals [Lecture Notes]

Biologically Inspired Dynamic Thresholds for Spiking Neural Networks

AI-based Clinical Assessment of Optic Nerve Head Robustness Superseding
  Biomechanical Testing

Multiple Instance Learning for Digital Pathology: A Review on the
  State-of-the-Art, Limitations & Future Potential

Learning to generalize Dispatching rules on the Job Shop Scheduling

Neonatal EEG graded for severity of background abnormalities in
  hypoxic-ischaemic encephalopathy

Analysis of Learner Independent Variables for Estimating Assessment
  Items Difficulty Level

Cross-modal Local Shortest Path and Global Enhancement for
  Visible-Thermal Person Re-Identification

Depression Recognition using Remote Photoplethysmography from Facial
  Videos

Interaction Design for VR Applications: Understanding Needs for
  University Curricula

HideNseek: Federated Lottery Ticket via Server-side Pruning and Sign
  Supermask

Value Memory Graph: A Graph-Structured World Model for Offline

Only-Train-Once MR Fingerprinting for Magnetization Transfer Contrast

STIP: A SpatioTemporal Information-Preserving and Perception-Augmented
  Model for High-Resolution Video Prediction

Deep Neural Network for Blind Visual Quality Assessment of 4K Content

A general approximation lower bound in $L^p$ norm, with applications to
  feed-forward neural networks

Trajectory-dependent Generalization Bounds for Deep Neural Networks via
  Fractional Brownian Motion

A Simple Unified Approach to Testing High-Dimensional Conditional
  Independences for Categorical and Ordinal Data

Applying separative non-negative matrix factorization to extra-financial
  data

Joint Modeling of Image and Label Statistics for Enhancing Model
  Generalizability of Medical Image Segmentation

Fault Diagnosis of Inter-turn Short Circuit in Permanent Magnet
  Synchronous Motors with Current Signal Imaging and Unsupervised Learning

Learning to generate imaginary tasks for improving generalization in
  meta-learning

Audio-video fusion strategies for active speaker detection in meetings

CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented
  Anomaly Localization

Optimizing supercontinuum spectro-temporal properties by leveraging
  machine learning towards multi-photon microscopy

Adversarial Noises Are Linearly Separable for (Nearly) Random Neural
  Networks

Adaptive Frequency Band Selection for Accurate and Fast Positioning
  utilizing SOPs

Multi-class Classification with Fuzzy-feature Observations: Theory and

GSmooth: Certified Robustness against Semantic Transformations via
  Generalized Randomized Smoothing

A No-reference Quality Assessment Metric for Point Cloud Based on
  Captured Video Sequences

Reconstruct Face from Features Using GAN Generator as a Distribution
  Constraint

FOAM: A Follower-aware Speaker Model For Vision-and-Language Navigation

Coswara: A website application enabling COVID-19 screening by analysing
  respiratory sound samples and health symptoms

A No-Reference Deep Learning Quality Assessment Method for
  Super-resolution Images Based on Frequency Maps

Evaluating Aleatoric Uncertainty via Conditional Generative Models

Pseudo-Poincaré: A Unification Framework for Euclidean and Hyperbolic

Swan: A Neural Engine for Efficient DNN Training on Smartphone SoCs

Sample-Efficient Reinforcement Learning in the Presence of Exogenous

Local Spatiotemporal Representation Learning for
  Longitudinally-consistent Neuroimage Analysis

Effectiveness of an online homework tutorial about changing basis in
  quantum mechanics

STEM image analysis based on deep learning: identification of vacancy
  defects and polymorphs of ${MoS_2}$

DeepVerge: Classification of Roadside Verge Biodiversity and
  Conservation Potential

A General Framework For Proving The Equivariant Strong Lottery Ticket
  Hypothesis

There is no Accuracy-Interpretability Tradeoff in Reinforcement Learning
  for Mazes

Predictive Exit: Prediction of Fine-Grained Early Exits for Computation-
  and Energy-Efficient Inference

ScatterSample: Diversified Label Sampling for Data Efficient Graph
  Neural Network Learning

A $Δ$-Machine Learning Approach for Force Fields, Illustrated by a
  CCSD(T) 4-body Correction to the MB-pol Water Potential

Meta-data Study in Autism Spectrum Disorder Classification Based on
  Structural MRI

An Optimization Method-Assisted Ensemble Deep Reinforcement Learning
  Algorithm to Solve Unit Commitment Problems

Enhancement of Healthcare Data Transmission using the
  Levenberg-Marquardt Algorithm

Analytical Composition of Differential Privacy via the Edgeworth
  Accountant

JNMR: Joint Non-linear Motion Regression for Video Frame Interpolation

Molecular dynamics without molecules: searching the conformational space
  of proteins with generative neural networks

Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link

It's a super deal -- train recurrent network on noisy data and get
  smooth prediction free

Exploring Predictive States via Cantor Embeddings and Wasserstein
  Distance

SCAMPS: Synthetics for Camera Measurement of Physiological Signals

ExpressivE: A Spatio-Functional Embedding For Knowledge Graph Completion

CCP: Correlated Clustering and Projection for Dimensionality Reduction

RT-DNAS: Real-time Constrained Differentiable Neural Architecture Search
  for 3D Cardiac Cine MRI Segmentation

Few-shot Question Generation for Personalized Feedback in Intelligent
  Tutoring Systems

Learning in Distributed Contextual Linear Bandits Without Sharing the
  Context

Automating Ambiguity: Challenges and Pitfalls of Artificial Intelligence

VN-Transformer: Rotation-Equivariant Attention for Vector Neurons

CASS: Cross Architectural Self-Supervision for Medical Image Analysis

Generative Adversarial Networks and Image-Based Malware Classification

Texture Extraction Methods Based Ensembling Framework for Improved

A Comprehensive Survey of Graph-based Deep Learning Approaches for
  Anomaly Detection in Complex Distributed Systems

Stability and distortion of fcc-LaH$_{10}$ with path-integral molecular
  dynamics

TreeFlow: Going beyond Tree-based Gaussian Probabilistic Regression

Smart Meter Data Anomaly Detection using Variational Recurrent
  Autoencoders with Attention

Forecasting AI Progress: Evidence from a Survey of Machine Learning
  Researchers

POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution
  Samples

Towards Self-supervised and Weight-preserving Neural Architecture Search

ESCHER: Eschewing Importance Sampling in Games by Computing a History
  Value Function to Estimate Regret

Diffusion probabilistic modeling of protein backbones in 3D for the
  motif-scaffolding problem

Physics-guided descriptors for prediction of structural polymorphs

Likelihood-free Model Choice for Simulator-based Models with the
  Jensen--Shannon Divergence

Words are all you need? Capturing human sensory similarity with textual
  descriptors

The missing radial velocities of Gaia: blind predictions for DR3

What-Is and How-To for Fairness in Machine Learning: A Survey,
  Reflection, and Perspective

Model-Based Reinforcement Learning Is Minimax-Optimal for Offline
  Zero-Sum Markov Games

Neural Collapse: A Review on Modelling Principles and Generalization

Resolving the Human Subjects Status of Machine Learning's Crowdworkers

Scaleformer: Iterative Multi-scale Refining Transformers for Time Series

High-dimensional limit theorems for SGD: Effective dynamics and critical
  scaling

Accelerating Score-based Generative Models for High-Resolution Image
  Synthesis

CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous
  Driving

SYNERgy between SYNaptic consolidation and Experience Replay for general

Robust Semantic Communications with Masked VQ-VAE Enabled Codebook

Patch-based Object-centric Transformers for Efficient Video Generation

Constrained Imitation Learning for a Flapping Wing Unmanned Aerial
  Vehicle

Diffusion Curvature for Estimating Local Curvature in High Dimensional
  Data

Classification of Stochastic Processes with Topological Data Analysis

Narrowing the Coordinate-frame Gap in Behavior Prediction Models:
  Distillation for Efficient and Accurate Scene-centric Motion Forecasting

FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization

Mathematical model bridges disparate timescales of lifelong learning

Challenges in Applying Explainability Methods to Improve the Fairness of
  NLP Models

Designing Reinforcement Learning Algorithms for Digital Interventions:
  Pre-implementation Guidelines

Robust Environment Perception for Automated Driving: A Unified Learning
  Pipeline for Visual-Infrared Object Detection

Learning to Generate Prompts for Dialogue Generation through

Boundary between noise and information applied to filtering neural
  network weight matrices

Sequential Density Estimation via NCWFAs Sequential Density Estimation
  via Nonlinear Continuous Weighted Finite Automata

An Improved Deep Convolutional Neural Network by Using Hybrid
  Optimization Algorithms to Detect and Classify Brain Tumor Using Augmented
  MRI Images

Can Mobile Technology Improve Female Entrepreneurship? Evidence from
  Nepal

A Unified Convergence Theorem for Stochastic Optimization Methods

To remove or not remove Mobile Apps? A data-driven predictive model
  approach

Unsupervised Deformable Image Registration with Absent Correspondences
  in Pre-operative and Post-Recurrence Brain Tumor MRI Scans

ConFUDA: Contrastive Fewshot Unsupervised Domain Adaptation for Medical

Efficient Resource Allocation with Fairness Constraints in Restless

Inorganic Crystal Structure Prototype Database based on Unsupervised
  Learning of Local Atomic Environments

"GAN I hire you?" -- A System for Personalized Virtual Job Interview
  Training

Gradient Obfuscation Gives a False Sense of Security in Federated
  Learning

Orthonormal Convolutions for the Rotation Based Iterative
  Gaussianization

Sim2real for Reinforcement Learning Driven Next Generation Networks

Scalable Joint Learning of Wireless Multiple-Access Policies and their
  Signaling

Boosting the Confidence of Generalization for $L_2$-Stable Randomized

Generative Myocardial Motion Tracking via Latent Space Exploration with
  Biomechanics-informed Prior

Towards Understanding Why Mask-Reconstruction Pretraining Helps in
  Downstream Tasks

Estimation of Predictive Performance in High-Dimensional Data Settings
  using Learning Curves

Multi-channel neural networks for predicting influenza A virus hosts and
  antigenic types

SUPER-IVIM-DC: Intra-voxel incoherent motion based Fetal lung maturity
  assessment from limited DWI data using supervised learning coupled with
  data-consistency

Unsupervised Knowledge Adaptation for Passenger Demand Forecasting

Dual Windows Are Significant: Learning from Mediastinal Window and
  Focusing on Lung Window

Dyna-DM: Dynamic Object-aware Self-supervised Monocular Depth Maps

Entropic Convergence of Random Batch Methods for Interacting Particle
  Diffusion

Action Noise in Off-Policy Deep Reinforcement Learning: Impact on
  Exploration and Performance

Learning Digital Terrain Models from Point Clouds: ALS2DTM Dataset and
  Rasterization-based GAN

Communication Efficient Semi-Honest Three-Party Secure Multiparty
  Computation with an Honest Majority

PixSelect: Less but Reliable Pixels for Accurate and Efficient

An overview of the proposed INdian Spectroscopic and Imaging Space
  Telescope (INSIST)

Binary Single-dimensional Convolutional Neural Network for Seizure

Accelerating Equilibration in First-Principles Molecular Dynamics with
  Orbital-Free Density Functional Theory

Machine learning-based patient selection in an emergency department

Explanation as Question Answering based on a Task Model of the Agent's
  Design

Using Mixed-Effects Models to Learn Bayesian Networks from Related Data
  Sets

Large Loss Matters in Weakly Supervised Multi-Label Classification

Motiflets -- Fast and Accurate Detection of Motifs in Time Series

On gradient descent training under data augmentation with on-line noisy
  copies

Stabilizing Voltage in Power Distribution Networks via Multi-Agent
  Reinforcement Learning with Transformer

Set Interdependence Transformer: Set-to-Sequence Neural Networks for
  Permutation Learning and Structure Prediction

Learning Interpretable Decision Rule Sets: A Submodular Optimization
  Approach

Performance, Transparency and Time. Feature selection to speed up the
  diagnosis of Parkinson's disease

Modularized Transfer Learning with Multiple Knowledge Graphs for
  Zero-shot Commonsense Reasoning

Hypernetwork-based Personalized Federated Learning for
  Multi-Institutional CT Imaging

Motif Mining and Unsupervised Representation Learning for BirdCLEF 2022

Theoretical Error Performance Analysis for Variational Quantum Circuit
  Based Functional Regression

Predictions of Electromotive Force of Magnetic Shape Memory Alloy (MSMA)
  Using Constitutive Model and Generalized Regression Neural Network

What do we learn? Debunking the Myth of Unsupervised Outlier Detection

Do We Need Another Explainable AI Method? Toward Unifying Post-hoc XAI
  Evaluation Methods into an Interactive and Multi-dimensional Benchmark

Identifying good directions to escape the NTK regime and efficiently
  learn low-degree plus sparse polynomials

Semi-supervised MIMO Detection Using Cycle-consistent Generative

Progress Report: A Deep Learning Guided Exploration of Affine Unimodular
  Loop Transformations

Machine learning assisted droplet trajectories extraction in dense
  emulsions and their analysis

Integrating Symmetry into Differentiable Planning with Steerable

COVIDx CXR-3: A Large-Scale, Open-Source Benchmark Dataset of Chest
  X-ray Images for Computer-Aided COVID-19 Diagnostics

Toward Certified Robustness Against Real-World Distribution Shifts

Balanced background and explanation data are needed in explaining deep
  learning models with SHAP: An empirical study on clinical decision making

Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with
  Communication Compression

One Hyper-Initializer for All Network Architectures in Medical Image
  Analysis

Scalable Online Disease Diagnosis via Multi-Model-Fused Actor-Critic

pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning

Solving the Spike Feature Information Vanishing Problem in Spiking Deep
  Q Network with Potential Based Normalization

Exploring accurate potential energy surfaces via integrating variational
  quantum eigensovler with machine learning

Ensembles for Uncertainty Estimation: Benefits of Prior Functions and
  Bootstrapping

Dap-FL: Federated Learning flourishes by adaptive tuning and secure
  aggregation

Bayesian additive regression trees for probabilistic programming

Predictive Modeling of Charge Levels for Battery Electric Vehicles using
  CNN EfficientNet and IGTD Algorithm

Towards Scalable Hyperbolic Neural Networks using Taylor Series
  Approximations

A new method incorporating deep learning with shape priors for left
  ventricular segmentation in myocardial perfusion SPECT images

One Ring to Bring Them All: Towards Open-Set Recognition under Domain
  Shift

Neural Network Compression via Effective Filter Analysis and
  Hierarchical Pruning

Click prediction boosting via Bayesian hyperparameter optimization based
  ensemble learning pipelines

ObPose: Leveraging Pose for Object-Centric Scene Inference in 3D

Spatial Cross-Attention Improves Self-Supervised Visual Representation
  Learning

Distributed Newton-Type Methods with Communication Compression and
  Bernoulli Aggregation

Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement
  Learning with Latent Low-Rank Structure

A generative recommender system with GMM prior for cancer drug
  generation and sensitivity prediction

Extending Momentum Contrast with Cross Similarity Consistency

A Penny for Your (visual) Thoughts: Self-Supervised Reconstruction of
  Natural Movies from Brain Activity

Finite-Time Regret of Thompson Sampling Algorithms for Exponential
  Family Multi-Armed Bandits

How does overparametrization affect performance on minority groups?

Detection Hub: Unifying Object Detection Datasets via Query Adaptation
  on Language Embedding

Parametric Chordal Sparsity for SDP-based Neural Network Verification

SHRED: 3D Shape Region Decomposition with Learned Local Operations

Short Blocklength Wiretap Channel Codes via Deep Learning: Design and
  Performance Evaluation

Rate Distortion Tradeoff in Private Read Update Write in Federated
  Submodel Learning

Discrete State-Action Abstraction via the Successor Representation

Combining physics-based and data-driven techniques for reliable hybrid
  analysis and modeling using the corrective source term approach

FEL: High Capacity Learning for Recommendation and Ranking via Federated

Learning in Observable POMDPs, without Computationally Intractable
  Oracles

Enhancing Strong PUF Security with Non-monotonic Response Quantization

Towards Bridging Algorithm and Theory for Unbiased Recommendation

Improving Fairness in Graph Neural Networks via Mitigating Sensitive
  Attribute Leakage

Detecting Anomalous Cryptocurrency Transactions: an AML/CFT Application
  of Machine Learning-based Forensics

FedRel: An Adaptive Federated Relevance Framework for Spatial Temporal
  Graph Learning

Two-stage Human Activity Recognition on Microcontrollers with Decision
  Trees and CNNs

Minimising statistical errors in calibration of quantum-gate sets

Deep Learning based Direct Segmentation Assisted by Deformable Image
  Registration for Cone-Beam CT based Auto-Segmentation for Adaptive
  Radiotherapy

MIX-MAB: Reinforcement Learning-based Resource Allocation Algorithm for
  LoRaWAN

Towards a General Purpose CNN for Long Range Dependencies in $N$D

Towards Understanding and Mitigating Audio Adversarial Examples for

Data Stealing Attack on Medical Images: Is it Safe to Export Networks
  from Data Lakes?

Gender Bias in Word Embeddings: A Comprehensive Analysis of Frequency,
  Syntax, and Semantics

Interpretability of artificial neural network models in artificial
  Intelligence vs. neuroscience

On the Role of Discount Factor in Offline Reinforcement Learning

Shape, Light, and Material Decomposition from Images using Monte Carlo
  Rendering and Denoising

RAAT: Relation-Augmented Attention Transformer for Relation Modeling in
  Document-Level Event Extraction

On Outer Bi-Lipschitz Extensions of Linear Johnson-Lindenstrauss
  Embeddings of Low-Dimensional Submanifolds of $\mathbb{R}^N$

IL-MCAM: An interactive learning and multi-channel attention
  mechanism-based weakly supervised colorectal histopathology image
  classification approach

Computational Doob's $h$-transforms for Online Filtering of Discretely
  Observed Diffusions

DeepOPF-AL: Augmented Learning for Solving AC-OPF Problems with Multiple
  Load-Solution Mappings

Hierarchical Similarity Learning for Aliasing Suppression Image

Towards Explainable Social Agent Authoring tools: A case study on
  FAtiMA-Toolkit

An efficient semi-supervised quality control system trained using
  physics-based MRI-artefact generators and adversarial training

cViL: Cross-Lingual Training of Vision-Language Models using Knowledge

AS2T: Arbitrary Source-To-Target Adversarial Attack on Speaker
  Recognition Systems

Improving trajectory calculations using deep learning inspired single
  image superresolution

Preconditioned Gradient Descent for Overparameterized Nonconvex
  Burer--Monteiro Factorization with Global Optimality Certification

Parotid Gland MRI Segmentation Based on Swin-Unet and Multimodal Images

Improving the Diagnosis of Psychiatric Disorders with Self-Supervised
  Graph State Space Models

Concentration analysis of multivariate elliptic diffusion processes

Neural Network Decoders for Permutation Codes Correcting Different
  Errors

Physics-Inspired Temporal Learning of Quadrotor Dynamics for Accurate
  Model Predictive Trajectory Tracking

On the balance between the training time and interpretability of neural
  ODE for time series modelling

Generalization Error Bounds for Deep Neural Networks Trained by SGD

Joint Manifold Learning and Density Estimation Using Normalizing Flows

Adaptive Obstacle Avoidance Algorithm Based on Trajectory Learning

Collaborative Intelligence Orchestration: Inconsistency-Based Fusion of
  Semi-Supervised Learning and Active Learning

Unsupervised Context Aware Sentence Representation Pretraining for
  Multi-lingual Dense Retrieval

On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning

Marvolo: Programmatic Data Augmentation for Practical ML-Driven Malware
  Detection

6G-AUTOR: Autonomic CSI-Free Transceiver via Realtime On-Device Signal
  Analytics

Towards better Interpretable and Generalizable AD detection using
  Collective Artificial Intelligence

Rotation-Equivariant Conditional Spherical Neural Fields for Learning a
  Natural Illumination Prior

DeepCAVE: An Interactive Analysis Tool for Automated Machine Learning

Decentralized Online Regularized Learning Over Random Time-Varying
  Graphs

Analyzing the impact of feature selection on the accuracy of heart
  disease prediction

Inferring Unfairness and Error from Population Statistics in Binary and
  Multiclass Classification

Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances

Improved Cardiac Arrhythmia Prediction Based on Heart Rate Variability
  Analysis

From "Where" to "What": Towards Human-Understandable Explanations
  through Concept Relevance Propagation

Omnivision forecasting: combining satellite observations with sky images
  for improved intra-hour solar energy predictions

FairVFL: A Fair Vertical Federated Learning Framework with Contrastive
  Adversarial Learning

Explaining the physics of transfer learning a data-driven subgrid-scale
  closure to a different turbulent flow

A new Hyper-heuristic based on Adaptive Simulated Annealing and
  Reinforcement Learning for the Capacitated Electric Vehicle Routing Problem

Risk Measures and Upper Probabilities: Coherence and Stratification

TSFEDL: A Python Library for Time Series Spatio-Temporal Feature
  Extraction and Prediction using Deep Learning (with Appendices on Detailed
  Network Architectures and Experimental Cases of Study)

Learning Attention-based Representations from Multiple Patterns for
  Relation Prediction in Knowledge Graphs

Look Back When Surprised: Stabilizing Reverse Experience Replay for
  Neural Approximation

Decentralized Low-Latency Collaborative Inference via Ensembles on the
  Edge

Utility of Equivariant Message Passing in Cortical Mesh Segmentation

Shuffled Check-in: Privacy Amplification towards Practical Distributed
  Learning

Transfer learning to decode brain states reflecting the relationship
  between cognitive tasks

CitySpec: An Intelligent Assistant System for Requirement Specification
  in Smart Cities

Towards Meta-learned Algorithm Selection using Implicit Fidelity

Spatial-Temporal Adaptive Graph Convolution with Attention Network for
  Traffic Forecasting

Signal Propagation in Transformers: Theoretical Perspectives and the
  Role of Rank Collapse

Quantitative Stock Investment by Routing Uncertainty-Aware Trading
  Experts: A Multi-Task Learning Approach

Singapore Soundscape Site Selection Survey (S5): Identification of
  Characteristic Soundscapes of Singapore via Weighted k-means Clustering

Dual Swin-Transformer based Mutual Interactive Network for RGB-D Salient

Better Best of Both Worlds Bounds for Bandits with Switching Costs

Explainable Artificial Intelligence (XAI) for Internet of Things: A
  Survey

Beyond spectral gap: The role of the topology in decentralized learning

A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via
  Differential Privacy

Pushing the Limits of Learning-based Traversability Analysis for
  Autonomous Driving on CPU

Pancreatic Cancer ROSE Image Classification Based on Multiple Instance
  Learning with Shuffle Instances

An Empirical Study of IoT Security Aspects at Sentence-Level in
  Developer Textual Discussions

A Sequential Metamorphic Testing Framework for Understanding Automated

EiX-GNN : Concept-level eigencentrality explainer for graph neural
  networks

Patch-based image Super Resolution using generalized Gaussian mixture
  model

Recent Advances for Quantum Neural Networks in Generative Learning

Spatial Parsing and Dynamic Temporal Pooling networks for Human-Object
  Interaction detection

Exploration of Systolic-Vector Architecture with Resource Scheduling for
  Dynamic ML Workloads

CAISAR: A platform for Characterizing Artificial Intelligence Safety and

COVIDx CT-3: A Large-scale, Multinational, Open-Source Benchmark Dataset
  for Computer-aided COVID-19 Screening from Chest CT Images

Relaxed Gaussian process interpolation: a goal-oriented approach to

Intelligent Circuit Design and Implementation with Machine Learning

Explainability in Mechanism Design: Recent Advances and the Road Ahead

Learning Symbolic Operators: A Neurosymbolic Solution for Autonomous
  Disassembly of Electric Vehicle Battery

How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via
  $f$-Advantage Regression

Adaptive Weighted Nonnegative Matrix Factorization for Robust Feature

TriBYOL: Triplet BYOL for Self-Supervised Representation Learning

MS-RNN: A Flexible Multi-Scale Framework for Spatiotemporal Predictive
  Learning

Self-Knowledge Distillation based Self-Supervised Learning for Covid-19
  Detection from Chest X-Ray Images

Histogram Estimation under User-level Privacy with Heterogeneous Data

Distributionally Invariant Learning: Rationalization and Practical

Decentralized Aggregation for Energy-Efficient Federated Learning via
  Overlapped Clustering and D2D Communications

Enhancing Dual-Encoders with Question and Answer Cross-Embeddings for
  Answer Retrieval

Recall Distortion in Neural Network Pruning and the Undecayed Pruning
  Algorithm

Decomposed Linear Dynamical Systems (dLDS) for learning the latent
  components of neural dynamics

A Simple and Optimal Policy Design with Safety against Heavy-tailed Risk
  for Stochastic Bandits

Achievements and Lessons Learned from Successful Small Satellite
  Missions for Space Weather-Oriented Research

Masked Unsupervised Self-training for Zero-shot Image Classification

Improving Knowledge Graph Embedding via Iterative Self-Semantic

Confounder Analysis in Measuring Representation in Product Funnels

HMRNet: High and Multi-Resolution Network with Bidirectional Feature
  Calibration for Brain Structure Segmentation in Radiotherapy

Beyond Faithfulness: A Framework to Characterize and Compare Saliency
  Methods

GRETEL: A unified framework for Graph Counterfactual Explanation

Learning to Efficiently Propagate for Reasoning on Knowledge Graphs

Robust Time Series Dissimilarity Measure for Outlier Detection and
  Periodicity Detection

Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax

On the Convergence of Optimizing Persistent-Homology-Based Losses

Machine Learning-based models in particle-in-cell codes for advanced
  physics extensions

Predicting Electricity Infrastructure Induced Wildfire Risk in
  California

Spectral Bias Outside the Training Set for Deep Networks in the Kernel
  Regime

Tight basis cycle representatives for persistent homology of large data
  sets

Stable and memory-efficient image recovery using monotone operator
  learning (MOL)

Understanding Machine Learning Practitioners' Data Documentation
  Perceptions, Needs, Challenges, and Desiderata

Remember the Past: Distilling Datasets into Addressable Memories for

Learning Image Representations for Content Based Image Retrieval of
  Radiotherapy Treatment Plans

Boundary informed inverse PDE problems on discrete Riemann surfaces

Self-supervised Learning for Human Activity Recognition Using 700,000
  Person-days of Wearable Data

Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with
  Learned Morph Maps

Machine Learning Prediction for Phase-less Millimeter-Wave Beam Tracking

Distributive Justice as the Foundational Premise of Fair ML:
  Unification, Extension, and Interpretation of Group Fairness Metrics

A Justice-Based Framework for the Analysis of Algorithmic
  Fairness-Utility Trade-Offs

Conditional Seq2Seq model for the time-dependent two-level system

Sample Complexity of Nonparametric Off-Policy Evaluation on
  Low-Dimensional Manifolds using Deep Networks

Mesh-based Dynamics with Occlusion Reasoning for Cloth Manipulation

A Resource Allocation Scheme for Energy Demand Management in 6G-enabled
  Smart Grid

A Learning- and Scenario-based MPC Design for Nonlinear Systems in LPV
  Framework with Safety and Stability Guarantees

SpikiLi: A Spiking Simulation of LiDAR based Real-time Object Detection
  for Autonomous Driving

Physics and semantic informed multi-sensor calibration via optimization
  theory and self-supervised learning

Invertible Sharpening Network for MRI Reconstruction Enhancement

EVC-Net: Multi-scale V-Net with Conditional Random Fields for Brain

Collaborative Linear Bandits with Adversarial Agents: Near-Optimal
  Regret Bounds

RORL: Robust Offline Reinforcement Learning via Conservative Smoothing

Deep Learning Models of the Discrete Component of the Galactic
  Interstellar Gamma-Ray Emission

The Simulated Catalogue of Optical Transients and Correlated Hosts
  (SCOTCH)

GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions

Neuro CROSS exchange: Learning to CROSS exchange to solve realistic
  vehicle routing problems

Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture
  of Experts

The Neural Covariance SDE: Shaped Infinite Depth-and-Width Networks at

Communication-constrained hypothesis testing: Optimality, robustness,
  and reverse data processing inequalities

Dual Decomposition of Convex Optimization Layers for Consistent
  Attention in Medical Images

CORE: Consistent Representation Learning for Face Forgery Detection

Predicting and Understanding Human Action Decisions during Skillful
  Joint-Action via Machine Learning and Explainable-AI

Deep Reinforcement Learning for Cybersecurity Threat Detection and
  Protection: A Review

Robust and Fast Data-Driven Power System State Estimator Using Graph

Neuro-Nav: A Library for Neurally-Plausible Reinforcement Learning

Revisiting Realistic Test-Time Training: Sequential Inference and
  Adaptation by Anchored Clustering

FedNST: Federated Noisy Student Training for Automatic Speech

Stacked unsupervised learning with a network architecture found by
  supervised meta-learning

Specification-Guided Learning of Nash Equilibria with High Social
  Welfare

Human Behavior Recognition Method Based on CEEMD-ES Radar Selection

Stochastic Variance-Reduced Newton: Accelerating Finite-Sum Minimization
  with Large Batches

Multi-Behavior Sequential Recommendation with Temporal Graph Transformer

Real2Sim or Sim2Real: Robotics Visual Insertion using Deep Reinforcement
  Learning and Real2Sim Policy Adaptation

Risk-Sensitive Reinforcement Learning: Iterated CVaR and the Worst Path

Canonical Cortical Graph Neural Networks and its Application for Speech
  Enhancement in Future Audio-Visual Hearing Aids

Robust Adversarial Attacks Detection based on Explainable Deep
  Reinforcement Learning For UAV Guidance and Planning

Multi-learner risk reduction under endogenous participation dynamics

Robust Pareto Set Identification with Contaminated Bandit Feedback

Absence of a COVID-induced academic drop in high-school physics learning

TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning

Robust Fine-Tuning of Deep Neural Networks with Hessian-based
  Generalization Guarantees

A Hybrid Artificial Neural Network for Task Offloading in Mobile Edge
  Computing

Scaling Vision Transformers to Gigapixel Images via Hierarchical

Mixed Graph Contrastive Network for Semi-Supervised Node Classification

Policy Optimization for Markov Games: Unified Framework and Faster
  Convergence

Learning Generalized Wireless MAC Communication Protocols via
  Abstraction

Study of transfer learning from 2D supercritical airfoils to 3D
  transonic swept wings

Hardware-accelerated Mars Sample Localization via deep transfer learning
  from photorealistic simulations

Individual Privacy Accounting for Differentially Private Stochastic
  Gradient Descent

CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural

Rate-Distortion Theoretic Bounds on Generalization Error for Distributed
  Learning

[Reproducibility Report] Explainable Deep One-Class Classification

A Robust Deep Learning Enabled Semantic Communication System for Text

Consensus Learning for Cooperative Multi-Agent Reinforcement Learning

Sparse Bayesian Learning for Complex-Valued Rational Approximations

Forecasting COVID- 19 cases using Statistical Models and Ontology-based
  Semantic Modelling: A real time data analytics approach

UTTS: Unsupervised TTS with Conditional Disentangled Sequential
  Variational Auto-encoder

Transfer Learning based Search Space Design for Hyperparameter Tuning

Tucker tensor factor models for high-dimensional higher-order tensor
  observations

Offline Evaluation of Ranked Lists using Parametric Estimation of
  Propensities

An Optimal Transport Approach to Personalized Federated Learning

Neural network model for imprecise regression with interval dependent
  variables

Virtual Homogeneity Learning: Defending against Data Heterogeneity in

Effects of Reward Shaping on Curriculum Learning in Goal Conditioned
  Tasks

Improving Contrastive Learning of Sentence Embeddings with
  Case-Augmented Positives and Retrieved Negatives

Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture
  Models

Why do CNNs Learn Consistent Representations in their First Layer
  Independent of Labels and Architecture?

Optimization-based Block Coordinate Gradient Coding for Mitigating
  Partial Stragglers in Distributed Learning

Information-theoretic Inducing Point Placement for High-throughput
  Bayesian Optimisation

Detecting Interlocutor Confusion in Situated Human-Avatar Dialogue: A
  Pilot Study

Tackling covariate shift with node-based Bayesian neural networks

Continuous and Distribution-free Probabilistic Wind Power Forecasting: A
  Conditional Normalizing Flow Approach

mmFormer: Multimodal Medical Transformer for Incomplete Multimodal
  Learning of Brain Tumor Segmentation

Balancing Profit, Risk, and Sustainability for Portfolio Management

Evaluating the Predictive Performance of Positive-Unlabelled
  Classifiers: a brief critical review and practical recommendations for
  improvement

Towards Practical Differential Privacy in Data Analysis: Understanding
  the Effect of Epsilon on Utility in Private ERM

Interference Management for Over-the-Air Federated Learning in
  Multi-Cell Wireless Networks

Topological Optimized Convolutional Visual Recurrent Network for Brain
  Tumor Segmentation and Classification

Deep learning assisted jet tomography for the study of Mach cones in QGP

Semi-Supervised Segmentation of Mitochondria from Electron Microscopy
  Images Using Spatial Continuity

Automated Circuit Sizing with Multi-objective Optimization based on
  Differential Evolution and Bayesian Inference

Restructuring Graph for Higher Homophily via Learnable Spectral

Efficient Minimax Optimal Global Optimization of Lipschitz Continuous
  Multivariate Functions

Adaptive Rollout Length for Model-Based RL Using Model-Free Deep RL

Exploring Chemical Space with Score-based Out-of-distribution Generation

Bayesian intrinsic groupwise registration via explicit hierarchical
  disentanglement

Machine learning models for determination of weldbead shape parameters
  for gas metal arc welded T-joints -- A comparative study

CorticalFlow: A Diffeomorphic Mesh Deformation Module for Cortical

Learning to Break the Loop: Analyzing and Mitigating Repetitions for
  Neural Text Generation

Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation

Implementation of a Modified U-Net for Medical Image Segmentation on
  Edge Devices

Beyond Just Vision: A Review on Self-Supervised Representation Learning
  on Multimodal and Temporal Data

FIFA: Making Fairness More Generalizable in Classifiers Trained on
  Imbalanced Data

Convergence and sample complexity of natural policy gradient primal-dual
  methods for constrained MDPs

Anomaly Detection with Test Time Augmentation and Consistency Evaluation

Instance-Dependent Label-Noise Learning with Manifold-Regularized
  Transition Matrix Estimation

Decentralized, Communication- and Coordination-free Learning in
  Structured Matching Markets

Contrastive Graph Multimodal Model for Text Classification in Videos

Improving Model Understanding and Trust with Counterfactual Explanations
  of Model Confidence

WHU-Stereo: A Challenging Benchmark for Stereo Matching of
  High-Resolution Satellite Images

Minimizing the Expected Posterior Entropy Yields Optimal Summary

OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal

Early Abnormal Detection of Sewage Pipe Network: Bagging of Various
  Abnormal Detection Algorithms

Asymptotic Instance-Optimal Algorithms for Interactive Decision Making

Compilation and Optimizations for Efficient Machine Learning on Embedded
  Systems

ID-Agnostic User Behavior Pre-training for Sequential Recommendation

Bootstrapping Semi-supervised Medical Image Segmentation with
  Anatomical-aware Contrastive Distillation

Quantum calculations on a new CCSD(T) machine-learned PES reveal the
  leaky nature of gas-phase $trans$ and $gauche$ ethanol conformers

Doubly Robust Inference for Hazard Ratio under Informative Censoring
  with Machine Learning

Deep Learning-based Finite Element Analysis (FEA) surrogate for sub-sea
  pressure vessel

Efficient and Accurate Physics-aware Multiplex Graph Neural Networks for
  3D Small Molecules and Macromolecule Complexes

A knowledge graph representation learning approach to predict novel
  kinase-substrate interactions

ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with
  Asymmetric Co-training

AugLoss: A Learning Methodology for Real-World Dataset Corruption

Tagged-MRI Sequence to Audio Synthesis via Self Residual Attention
  Guided Heterogeneous Translator

Annotation Error Detection: Analyzing the Past and Present for a More
  Coherent Future

Accurate Virus Identification with Interpretable Raman Signatures by

Sharper Rates and Flexible Framework for Nonconvex SGD with Client and
  Data Sampling

Estimating building energy efficiency from street view imagery, aerial
  imagery, and land surface temperature data

Rotation to Sparse Loadings using $L^p$ Losses and Related Inference
  Problems

Towards Individual Grevy's Zebra Identification via Deep 3D Fitting and

Efficient Annotation and Learning for 3D Hand Pose Estimation: A Survey

Augmenting Netflix Search with In-Session Adapted Recommendations

Rapid Learning of Spatial Representations for Goal-Directed Navigation
  Based on a Novel Model of Hippocampal Place Fields

Resource Optimization for Blockchain-based Federated Learning in Mobile
  Edge Computing

OntoMerger: An Ontology Integration Library for Deduplicating and
  Connecting Knowledge Graph Nodes

Enforcing Group Fairness in Algorithmic Decision Making: Utility
  Maximization Under Sufficiency

Offline RL for Natural Language Generation with Implicit Language Q
  Learning

Finetuning a Kalaallisut-English machine translation system using
  web-crawled data

Dynamically handling task disruptions by composing together behavior
  modules

Efficient decentralized multi-agent learning in asymmetric queuing
  systems

U(1) Symmetry-breaking Observed in Generic CNN Bottleneck Layers

Learning a Mesh Motion Technique with Application to Fluid-Structure
  Interaction and Shape Optimization

Variable-rate hierarchical CPC leads to acoustic unit discovery in
  speech

Performance Comparison of Simple Transformer and Res-CNN-BiLSTM for
  Cyberbullying Classification

A weighted average distributed estimator for high dimensional parameter

GridShift: A Faster Mode-seeking Algorithm for Image Segmentation and

Machine learning applications for electricity market agent-based models:
  A systematic literature review

FOF: Learning Fourier Occupancy Field for Monocular Real-time Human

M2FNet: Multi-modal Fusion Network for Emotion Recognition in
  Conversation

Semi-Supervised Learning for Mars Imagery Classification and

A Simple Meta-learning Paradigm for Zero-shot Intent Classification with
  Mixture Attention Mechanism

Factored Conditional Filtering: Tracking States and Estimating
  Parameters in High-Dimensional Spaces

DDPG based on multi-scale strokes for financial time series trading
  strategy

A Survey on Deep Learning based Channel Estimation in Doubly Dispersive

Estimating and Mitigating the Congestion Effect of Curbside Pick-ups and
  Drop-offs: A Causal Inference Approach

Vanilla Feature Distillation for Improving the Accuracy-Robustness
  Trade-Off in Adversarial Training

Never mind the metrics -- what about the uncertainty? Visualising
  confusion matrix metric distributions

Perspectives of Non-Expert Users on Cyber Security and Privacy: An
  Analysis of Online Discussions on Twitter

HPGNN: Using Hierarchical Graph Neural Networks for Outdoor Point Cloud

Dict-TTS: Learning to Pronounce with Prior Dictionary Knowledge for

Collaborative search and autonomous task allocation in organizations of
  learning agents

Early Stage Convergence and Global Convergence of Training Mildly
  Parameterized Neural Networks

LDRNet: Enabling Real-time Document Localization on Mobile Devices

ShapePU: A New PU Learning Framework Regularized by Global Consistency
  for Scribble Supervised Cardiac Segmentation

Learning Binarized Graph Representations with Multi-faceted Quantization
  Reinforcement for Top-K Recommendation

Computer Vision-based Characterization of Large-scale Jet Flames using a
  Synthetic Infrared Image Generation Approach

Do we need dense matter equation of state in curved spacetime for
  neutron stars?

GAAF: Searching Activation Functions for Binary Neural Networks through
  Genetic Algorithm

AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing
  Flows

Search Space Adaptation for Differentiable Neural Architecture Search in

PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence

LAE: Language-Aware Encoder for Monolingual and Multilingual ASR

Bandit Theory and Thompson Sampling-Guided Directed Evolution for
  Sequence Optimization

Inference for Interpretable Machine Learning: Fast, Model-Agnostic
  Confidence Intervals for Feature Importance

Towards the Creation of a Nutrition and Food Group Based Image Database

Demystifying the Global Convergence Puzzle of Learning
  Over-parameterized ReLU Nets in Very High Dimensions

Multilingual Neural Machine Translation with Deep Encoder and Multiple
  Shallow Decoders

Deciding What to Model: Value-Equivalent Sampling for Reinforcement
  Learning

All One Needs to Know about Priors for Deep Image Restoration and
  Enhancement: A Survey

Learning Robust Representations Of Generative Models Using Set-Based
  Artificial Fingerprints

AI in 6G: Energy-Efficient Distributed Machine Learning for Multilayer
  Heterogeneous Networks

Your Neighbors Are Communicating: Towards Powerful and Scalable Graph

When Personalization Harms: Reconsidering the Use of Group Attributes in

Interpretable Models Capable of Handling Systematic Missingness in
  Imbalanced Classes and Heterogeneous Datasets

On the Generalization Power of the Overfitted Three-Layer Neural Tangent
  Kernel Model

Developing hierarchical anticipations via neural network-based event

First-Order Algorithms for Min-Max Optimization in Geodesic Metric
  Spaces

MetaNOR: A Meta-Learnt Nonlocal Operator Regression Approach for
  Metamaterial Modeling

Beyond Value: CHECKLIST for Testing Inferences in Planning-Based RL

Interpolating Between Softmax Policy Gradient and Neural Replicator
  Dynamics with Capped Implicit Exploration

A Control Theoretic Framework for Adaptive Gradient Optimizers in

Zeroth-Order SciML: Non-intrusive Integration of Scientific Software

A Neural Network Approach for Homogenization of Multiscale Problems

Between Rate-Distortion Theory & Value Equivalence in Model-Based

Is $L^2$ Physics-Informed Loss Always Suitable for Training
  Physics-Informed Neural Network?

Causal Discovery in Heterogeneous Environments Under the Sparse
  Mechanism Shift Hypothesis

Actuarial Applications of Natural Language Processing Using
  Transformers: Case Studies for Using Text Features in an Actuarial Context

FLECS: A Federated Learning Second-Order Framework via Compression and
  Sketching

Open Challenges in Developing Generalizable Large Scale Machine Learning
  Models for Catalyst Discovery

Surprising Instabilities in Training Deep Networks and a Theoretical
  Analysis

Hybrid Value Estimation for Off-policy Evaluation and Offline

MSR: Making Self-supervised learning Robust to Aggressive Augmentations

Constructing unbiased gradient estimators with finite variance for
  conditional stochastic optimization

Geodesic Properties of a Generalized Wasserstein Embedding for Time
  Series Analysis

Evaluation of Xilinx Deep Learning Processing Unit under Neutron
  Irradiation

MACC: Cross-Layer Multi-Agent Congestion Control with Deep Reinforcement
  Learning

Future Artificial Intelligence tools and perspectives in medicine

Forecasting the production of Distillate Fuel Oil Refinery and Propane
  Blender net production by using Time Series Algorithms

C$^3$Fusion: Consistent Contrastive Colon Fusion, Towards Deep SLAM in

Scheduling for Ground-Assisted Federated Learning in LEO Satellite
  Constellations

Comparing Performance of Different Linguistically-Backed Word Embeddings
  for Cyberbullying Detection

Student-AI Creative Writing: Pedagogical Strategies for Applying Natural
  Language Generation in Schools

Exploring the Potential of Feature Density in Estimating Machine
  Learning Classifier Performance with Application to Cyberbullying Detection

Robust Meta-learning with Sampling Noise and Label Noise via
  Eigen-Reptile

Occlusion-Resistant Instance Segmentation of Piglets in Farrowing Pens
  Using Center Clustering Network

Intake Monitoring in Free-Living Conditions: Overview and Lessons we
  Have Learned

Learning Generative Factors of EEG Data with Variational auto-encoders

Discovering Ancestral Instrumental Variables for Causal Inference from
  Observational Data

Research on the correlation between text emotion mining and stock market
  based on deep learning

An Effective Scheme for Maize Disease Recognition based on Deep Networks

Alternative Data Augmentation for Industrial Monitoring using

Multimodel Sensor Fusion for Learning Rich Models for Interacting Soft
  Robots

LSTM-Based Distributed Conditional Generative Adversarial Network For
  Data-Driven 5G-Enabled Maritime UAV Communications

Disturbance-Injected Robust Imitation Learning with Task Achievement

FoReCo: a forecast-based recovery mechanism for real-time remote control
  of robotic manipulators

Joint learning of object graph and relation graph for visual question
  answering

A Dataset and BERT-based Models for Targeted Sentiment Analysis on
  Turkish Texts

Attracting and Dispersing: A Simple Approach for Source-free Domain

Price DOES Matter! Modeling Price and Interest Preferences in

EF-BV: A Unified Theory of Error Feedback and Variance Reduction
  Mechanisms for Biased and Unbiased Compression in Distributed Optimization

Strong pulse illumination hacks self-differencing avalanche photodiode
  detectors in a high-speed quantum key distribution system

Residue-based Label Protection Mechanisms in Vertical Logistic

Auto-SDE: Learning effective reduced dynamics from data-driven
  stochastic dynamical systems

Verifying Integrity of Deep Ensemble Models by Lossless Black-box
  Watermarking with Sensitive Samples

The Roles and Modes of Human Interactions with Automated Machine

Btech thesis report on adversarial attack detection and purification of
  adverserially attacked images

Programming molecular systems to emulate a learning spiking neuron

Quantum neural network autoencoder and classifier applied to an
  industrial case study

Single-Image 3D Face Reconstruction under Perspective Projection

Predicting tacrolimus exposure in kidney transplanted patients using

On Generalisability of Machine Learning-based Network Intrusion
  Detection Systems

SmoothNets: Optimizing CNN architecture design for differentially
  private deep learning

Single-view 3D Body and Cloth Reconstruction under Complex Poses

PS-Net: Learned Partially Separable Model for Dynamic MR Imaging

Beyond Bounding Box: Multimodal Knowledge Learning for Object Detection

Sub-Word Alignment Is Still Useful: A Vest-Pocket Method for Enhancing

Multi-level Consistency Learning for Semi-supervised Domain Adaptation

Augmentations: An Insight into their Effectiveness on Convolution Neural
  Networks

Multilevel Hierarchical Network with Multiscale Sampling for Video

Exploiting Digital Surface Models for Inferring Super-Resolution for
  Remotely Sensed Images

Unsupervised Learning of Rydberg Atom Array Phase Diagram with Siamese

Masked Co-attentional Transformer reconstructs 100x ultra-fast/low-dose
  whole-body PET from longitudinal images and anatomically guided MRI

Incremental-DETR: Incremental Few-Shot Object Detection via

Deep Federated Anomaly Detection for Multivariate Time Series Data

ProQA: Structural Prompt-based Pre-training for Unified Question
  Answering

Improving the machine learning based vertex reconstruction for large
  liquid scintillator detectors with multiple types of PMTs

Visualization of Decision Trees based on General Line Coordinates to
  Support Explainable Models

Interpretable Machine Learning for Self-Service High-Risk
  Decision-Making

Muskits: an End-to-End Music Processing Toolkit for Singing Voice
  Synthesis

Learning 6-DoF Object Poses to Grasp Category-level Objects by Language

I Know What You Draw: Learning Grasp Detection Conditioned on a Few
  Freehand Sketches

A Comparative Tutorial of Bayesian Sequential Design and Reinforcement
  Learning

CoCoA-MT: A Dataset and Benchmark for Contrastive Controlled MT with
  Application to Formality

What Do You Get from Turning on Your Video? Effects of Videoconferencing
  Affordances on Remote Class Experience During COVID-19

Personalized QoE Enhancement for Adaptive Video Streaming: A Digital
  Twin-Assisted Scheme

ResSFL: A Resistance Transfer Framework for Defending Model Inversion
  Attack in Split Federated Learning

Data Augmentation with Paraphrase Generation and Entity Extraction for
  Multimodal Dialogue System

A Hybrid Approach: Utilising Kmeans Clustering and Naive Bayes for IoT

Global Model Learning for Large Deformation Control of Elastic
  Deformable Linear Objects: An Efficient and Adaptive Approach

Learning from Drivers to Tackle the Amazon Last Mile Routing Research
  Challenge

A Real Time Super Resolution Accelerator with Tilted Layer Fusion

Layer-wised Model Aggregation for Personalized Federated Learning

Predicting parametric spatiotemporal dynamics by multi-resolution PDE
  structure-preserved deep learning

Methodology to Create Analysis-Naive Holdout Records as well as Train
  and Test Records for Machine Learning Analyses in Healthcare

Building Machine Translation Systems for the Next Thousand Languages

SELF-CARE: Selective Fusion with Context-Aware Low-Power Edge Computing
  for Stress Detection

Robust (Controlled) Table-to-Text Generation with Structure-Aware
  Equivariance Learning

Private Eye: On the Limits of Textual Screen Peeking via Eyeglass
  Reflections in Video Conferencing

Ensemble Classifier Design Tuned to Dataset Characteristics for Network
  Intrusion Detection

Dynamic demand for differentiated products with fixed-effects unobserved
  heterogeneity

High-Resolution UAV Image Generation for Sorghum Panicle Detection

What does it mean to be an AI Ethicist: An ontology of existing roles

Joint Study of Above Ground Biomass and Soil Organic Carbon for Total
  Carbon Estimation using Satellite Imagery in Scotland

Write It Like You See It: Detectable Differences in Clinical Notes By
  Race Lead To Differential Model Recommendations

N-ACT: An Interpretable Deep Learning Model for Automatic Cell Type and
  Salient Gene Identification

FOLPETTI: A Novel Multi-Armed Bandit Smart Attack for Wireless Networks

Federated Random Reshuffling with Compression and Variance Reduction

Network Traffic Anomaly Detection Method Based on Multi scale Residual
  Feature

Dynamic categories, dynamic operads: From deep learning to prediction
  markets

SoftPool++: An Encoder-Decoder Network for Point Cloud Completion

Preservation of High Frequency Content for Deep Learning-Based Medical

Decentralized Stochastic Optimization with Inherent Privacy Protection

WKGM: Weight-K-space Generative Model for Parallel Imaging

Zero and R2D2: A Large-scale Chinese Cross-modal Benchmark and A
  Vision-Language Framework

On Conditioning the Input Noise for Controlled Image Generation with

Assigning Species Information to Corresponding Genes by a Sequence
  Labeling Framework

Differentiable Electron Microscopy Simulation: Methods and Applications

SeqNet: An Efficient Neural Network for Automatic Malware Detection

Fully Automated Binary Pattern Extraction For Finger Vein Identification
  using Double Optimization Stages-Based Unsupervised Learning Approach

On the Use of BERT for Automated Essay Scoring: Joint Learning of
  Multi-Scale Essay Representation

FP-GNN: a versatile deep learning architecture for enhanced molecular
  property prediction

Reinforcement Learning Based Robust Policy Design for Relay and Power
  Optimization in DF Relaying Networks

Iterative Geometry-Aware Cross Guidance Network for Stereo Image
  Inpainting

A Survey on AI Sustainability: Emerging Trends on Learning Algorithms
  and Research Challenges

Accelerated functional brain aging in major depressive disorder:
  evidence from a large scale fMRI analysis of Chinese participants

Some performance considerations when using multi-armed bandit algorithms
  in the presence of missing data

Simultaneous Double Q-learning with Conservative Advantage Learning for
  Actor-Critic Methods

PGADA: Perturbation-Guided Adversarial Alignment for Few-shot Learning
  Under the Support-Query Shift

Beyond Distributional Hypothesis: Let Language Models Learn Meaning-Text
  Correspondence

Data-Free Adversarial Knowledge Distillation for Graph Neural Networks

Over-the-Air Federated Multi-Task Learning via Model Sparsification and
  Turbo Compressed Sensing

Deep Embedded Multi-View Clustering via Jointly Learning Latent
  Representations and Graphs

Past and Future Motion Guided Network for Audio Visual Event

Univariate and Multivariate LSTM Model for Short-Term Stock Market

Pervasive Machine Learning for Smart Radio Environments Enabled by
  Reconfigurable Intelligent Surfaces

One-Class Knowledge Distillation for Face Presentation Attack Detection

Learning Regionally Decentralized AC Optimal Power Flows with ADMM

GRAPHCACHE: Message Passing as Caching for Sentence-Level Relation

Should We Rely on Entity Mentions for Relation Extraction? Debiasing
  Relation Extraction with Counterfactual Analysis

Adaptive Graph Convolutional Network Framework for Multidimensional Time
  Series Prediction

Neural operator learning of heterogeneous mechanobiological insults
  contributing to aortic aneurysms

Communication Compression for Decentralized Learning with Operator
  Splitting Methods

Semi-Cycled Generative Adversarial Networks for Real-World Face

Mutual Distillation Learning Network for Trajectory-User Linking

Parallelization of Machine Learning Algorithms Respectively on Single
  Machine and Spark

Transformer-Empowered 6G Intelligent Networks: From Massive MIMO
  Processing to Semantic Communication

Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest
  Neighbor Search

Silence is Sweeter Than Speech: Self-Supervised Model Using Silence to
  Store Speaker Information

DxFormer: A Decoupled Automatic Diagnostic System Based on
  Decoder-Encoder Transformer with Dense Symptom Representations

Select and Calibrate the Low-confidence: Dual-Channel Consistency based
  Graph Convolutional Networks

GOCPT: Generalized Online Canonical Polyadic Tensor Factorization and

Data-Driven Approximations of Chance Constrained Programs in
  Nonstationary Environments

Impact of Learning Rate on Noise Resistant Property of Deep Learning
  Models

End-to-End Rubbing Restoration Using Generative Adversarial Networks

Decoupled-and-Coupled Networks: Self-Supervised Hyperspectral Image
  Super-Resolution with Subpixel Fusion

FRC-TOuNN: Topology Optimization of Continuous Fiber Reinforced
  Composites using Neural Network

Optimal Lighting Control in Greenhouses Using Bayesian Neural Networks
  for Sunlight Prediction

Impact of L1 Batch Normalization on Analog Noise Resistant Property of

Precise Regret Bounds for Log-loss via a Truncated Bayesian Algorithm

Scale-Variant Robust Kernel Optimization for Non-linear Least Squares
  Problems

Empowering parameter-efficient transfer learning by recognizing the
  kernel structure in self-attention

Description of collective magnetization processes with machine learning
  models

Quantifying and Extrapolating Data Needs in Radio Frequency Machine
  Learning

The Exact Exchange-Correlation Potential in Time-Dependent Density
  Functional Theory: Choreographing Electrons with Steps and Peaks

Towards Practical Physics-Informed ML Design and Evaluation for Power
  Grid

Deep learning approximations for non-local nonlinear PDEs with Neumann
  boundary conditions

Arrhythmia Classifier using Binarized Convolutional Neural Network for

Label-aware Multi-level Contrastive Learning for Cross-lingual Spoken

A co-design method of online learning SMC law via an input-mappping
  strategy

Label Adversarial Learning for Skeleton-level to Pixel-level Adjustable
  Vessel Segmentation

Automatic Velocity Picking Using a Multi-Information Fusion Deep
  Semantic Segmentation Network

Calibrating Label Distribution for Class-Imbalanced Barely-Supervised
  Knee Segmentation

Decentral and Incentivized Federated Learning Frameworks: A Systematic
  Literature Review

Deep Reinforcement Learning-Based Adaptive IRS Control with Limited
  Feedback Codebooks

Comparison Knowledge Translation for Generalizable Image Classification

SHAP Interpretable Machine learning and 3D Graph Neural Networks based
  XANES analysis

Deep Quality Assessment of Compressed Videos: A Subjective and Objective
  Study

Sparse Regularized Correlation Filter for UAV Object Tracking with
  adaptive Contextual Learning and Keyfilter Selection

Determination of class-specific variables in nonparametric
  multiple-class classification

Safe Exploration and Escape Local Minima with Model Predictive Control
  under Partially Unknown Constraints

BrainIB: Interpretable Brain Network-based Psychiatric Diagnosis with
  Graph Information Bottleneck

Automatic Block-wise Pruning with Auxiliary Gating Structures for Deep

ConceptDistil: Model-Agnostic Distillation of Concept Explanations

Automatic Evolution of Machine-Learning based Quantum Dynamics with
  Uncertainty Analysis

Acoustic echo suppression using a learning-based multi-frame minimum
  variance distortionless response filter

Learning Disentangled Textual Representations via Statistical Measures
  of Similarity

Applications of Reinforcement Learning in Deregulated Power Market: A
  Comprehensive Review

SPQE: Structure-and-Perception-Based Quality Evaluation for Image

Unified Chinese License Plate Detection and Recognition with High

Automatic Detection of Interplanetary Coronal Mass Ejections in Solar
  Wind In Situ Data

Utility-Oriented Underwater Image Quality Assessment Based on Transfer
  Learning

Deep learning for spatio-temporal forecasting -- application to solar
  energy

Representation Learning for Compressed Video Action Recognition via
  Attentive Cross-modal Interaction with Motion Enhancement

Mask-based Neural Beamforming for Moving Speakers with
  Self-Attention-based Tracking

Reliability of Robotic Ultrasound Scanning for Scoliosis Assessment in
  Comparison with Manual Scanning

Improving Downstream Task Performance by Treating Numbers as Entities

Evaluation of a User Authentication Schema Using Behavioral Biometrics
  and Machine Learning

I Can Read Your Mind: Control Mechanism Secrecy of Networked Dynamical
  Systems under Inference Attacks

Multi-Target Active Object Tracking with Monte Carlo Tree Search and
  Target Motion Modeling

Time-Series Domain Adaptation via Sparse Associative Structure
  Alignment: Learning Invariance and Variance

Gaussian Process Self-triggered Policy Search in Weakly Observable

Deep Learning-enabled Detection and Classification of Bacterial Colonies
  using a Thin Film Transistor (TFT) Image Sensor

Bandits for Structure Perturbation-based Black-box Attacks to Graph
  Neural Networks with Theoretical Guarantees

Graph Spectral Embedding using the Geodesic Betweeness Centrality

BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose Estimation

Training Enhancement of Deep Learning Models for Massive MIMO CSI
  Feedback with Small Datasets

Automatic segmentation of meniscus based on MAE self-supervision and
  point-line weak supervision paradigm

Individualized Risk Assessment of Preoperative Opioid Use by
  Interpretable Neural Network Regression

Unsupervised Deep Unrolled Reconstruction Using Regularization by
  Denoising

Inferring electrochemical performance and parameters of Li-ion batteries
  based on deep operator networks

JUNO: Jump-Start Reinforcement Learning-based Node Selection for UWB
  Indoor Localization

PARAFAC2$\times$N: Coupled Decomposition of Multi-modal Data with Drift
  in N Modes

Online Model Compression for Federated Learning with Large Models

DULA and DEBA: Differentiable Ergonomic Risk Models for Postural
  Assessment and Optimization in Ergonomically Intelligent pHRI

Clustered Graph Matching for Label Recovery and Graph Classification

Diverse Imitation Learning via Self-Organizing Generative Models

Dynamically writing coupled memories using a reinforcement learning
  agent, meeting physical bounds

Privacy accounting $\varepsilon$conomics: Improving differential privacy
  composition via a posteriori bounds

Structure Learning in Graphical Models from Indirect Observations

Machine Learning-Friendly Biomedical Datasets for Equivalence and
  Subsumption Ontology Matching

Comparison between the Iterative Local Search and Exhaustive Search
  methods applied to QAOA in Max-Cut and Ising Spin Model problems

Global Multi-modal 2D/3D Registration via Local Descriptors Learning

Converting Artificial Neural Networks to Spiking Neural Networks via
  Parameter Calibration

Vocalsound: A Dataset for Improving Human Vocal Sounds Recognition

Transformer-Based Multi-Aspect Multi-Granularity Non-Native English
  Speaker Pronunciation Assessment

Learning Uncertainties the Frequentist Way: Calibration and Correlation
  in High Energy Physics

The Unreliability of Explanations in Few-shot Prompting for Textual
  Reasoning

Let's Go to the Alien Zoo: Introducing an Experimental Framework to
  Study Usability of Counterfactual Explanations for Machine Learning

The Right Tool for the Job: Matching Active Learning Techniques to
  Learning Objectives

Journaling Data for Daily PHQ-2 Depression Prediction and Forecasting

DagSim: Combining DAG-based model structure with unconstrained data
  types and relations for flexible, transparent, and modularized data
  simulation

MINI: Mining Implicit Novel Instances for Few-Shot Object Detection

Physics-informed neural networks for PDE-constrained optimization and
  control

All Grains, One Scheme (AGOS): Learning Multi-grain Instance
  Representation for Aerial Scene Classification

Quantifying Synthesis and Fusion and their Impact on Machine Translation

Efficient Minimax Optimal Estimators For Multivariate Convex Regression

Robot navigation from human demonstration: learning control behaviors
  with environment feature maps

How to Spend Your Robot Time: Bridging Kickstarting and Offline
  Reinforcement Learning for Vision-based Robotic Manipulation

Multitask AET with Orthogonal Tangent Regularity for Dark Object
  Detection

Transferring Chemical and Energetic Knowledge Between Molecular Systems

UAV-aided RF Mapping for Sensing and Connectivity in Wireless Networks

UAV-aided Wireless Node Localization Using Hybrid Radio Channel Models

Learning Scalable Policies over Graphs for Multi-Robot Task Allocation
  using Capsule Attention Networks

Benchmarking Econometric and Machine Learning Methodologies in
  Nowcasting

Application of Clustering Algorithms for Dimensionality Reduction in
  Infrastructure Resilience Prediction Models

Example-Based Machine Translation from Text to a Hierarchical
  Representation of Sign Language

Forget Less, Count Better: A Domain-Incremental Self-Distillation
  Learning Benchmark for Lifelong Crowd Counting

Implicit semantic-based personalized micro-videos recommendation

Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude
  Detection in Social Media

The Road to Explainability is Paved with Bias: Measuring the Fairness of

Vehicle management in a modular production context using Deep Q-Learning

On Optimal Control and Expectation-Maximisation: Theory and an Outlook
  Towards Algorithms

Human Tracking with mmWave Radars: a Deep Learning Approach with
  Uncertainty Estimation

Designing Robust Biotechnological Processes Regarding Variabilities
  using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train
  Design

Rethinking Fairness: An Interdisciplinary Survey of Critiques of
  Hegemonic ML Fairness Approaches

What Makes A Good Fisherman? Linear Regression under Self-Selection Bias

Goal-Oriented Next Best Activity Recommendation using Reinforcement
  Learning

Predicting Future Occupancy Grids in Dynamic Environment with
  Spatio-Temporal Learning

Towards QD-suite: developing a set of benchmarks for Quality-Diversity
  algorithms

Perseus: A Simple and Optimal High-Order Method for Variational
  Inequalities

Nonparametric estimation of a multivariate density under
  Kullback-Leibler loss with ISDE

Federated Channel Learning for Intelligent Reflecting Surfaces With
  Fewer Pilot Signals

Symphony: Learning Realistic and Diverse Agents for Autonomous Driving

Scalable computation of prediction intervals for neural networks via
  matrix sketching

Imperceptible Backdoor Attack: From Input Space to Feature

A High-Resolution Chest CT-Scan Image Dataset for COVID-19 Diagnosis and
  Differentiation

Controlling quantum effects in enhanced strong-field ionisation with
  machine-learning techniques

Defending against Reconstruction Attacks through Differentially Private
  Federated Learning for Classification of Heterogeneous Chest X-Ray Data

Investigating and Explaining the Frequency Bias in Image Classification

Deep Supervised Information Bottleneck Hashing for Cross-modal Retrieval
  based Computer-aided Diagnosis

From Easy to Hard: Learning Language-guided Curriculum for Visual
  Question Answering on Remote Sensing Data

How to Minimize the Weighted Sum AoI in Multi-Source Status Update
  Systems: OMA or NOMA?

Weakly Supervised 3D Point Cloud Segmentation via Multi-Prototype
  Learning

Machine Learning in Molecular Dynamics Simulations of Biomolecular
  Systems

SKILL-IL: Disentangling Skill and Knowledge in Multitask Imitation
  Learning

A High-Accuracy Unsupervised Person Re-identification Method Using
  Auxiliary Information Mined from Datasets

Longitudinal cardio-respiratory fitness prediction through wearables in
  free-living environments

Latency Guarantee for Ubiquitous Intelligence in 6G: A Network Calculus
  Approach

Emp-RFT: Empathetic Response Generation via Recognizing Feature
  Transitions between Utterances

Crop Type Identification for Smallholding Farms: Analyzing Spatial,
  Temporal and Spectral Resolutions in Satellite Imagery

PTFlash : A deep learning framework for isothermal two-phase equilibrium

Probabilistic learning constrained by realizations using a weak
  formulation of Fourier transform of probability measures

Beyond backpropagation: bilevel optimization through implicit
  differentiation and equilibrium propagation

Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised
  Semantic Segmentation with Multi-scale Inference

RCMNet: A deep learning model assists CAR-T therapy for leukemia

KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive

A universal training scheme and the resulting universality for machine
  learning phases

Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm

Continual Object Detection via Prototypical Task Correlation Guided
  Gating Mechanism

Sound2Synth: Interpreting Sound via FM Synthesizer Parameters Estimation

Fusion: Efficient and Secure Inference Resilient to Malicious Servers

Quantification of Robotic Surgeries with Vision-Based Deep Learning

A Highly Adaptive Acoustic Model for Accurate Multi-Dialect Speech

Classifying Kepler light curves for 12,000 A and F stars using
  supervised feature-based machine learning

Design Target Achievement Index: A Differentiable Metric to Enhance Deep
  Generative Models in Multi-Objective Inverse Design

Revisiting Pretraining for Semi-Supervised Learning in the Low-Label
  Regime

Functional2Structural: Cross-Modality Brain Networks Representation
  Learning

Network Gradient Descent Algorithm for Decentralized Federated Learning

Optimally tackling covariate shift in RKHS-based nonparametric
  regression

Explaining the Effectiveness of Multi-Task Learning for Efficient
  Knowledge Extraction from Spine MRI Reports

A Deep Neural Network for Knot Placement in B-spline Approximation

IMU Based Deep Stride Length Estimation With Self-Supervised Learning

Variance Reduction based Partial Trajectory Reuse to Accelerate Policy
  Gradient Optimization

A Deep Reinforcement Learning-based Sliding Mode Control Design for
  Partially-known Nonlinear Systems

Large Scale Transfer Learning for Differentially Private Image

Putting Density Functional Theory to the Test in
  Machine-Learning-Accelerated Materials Discovery

Semi-Supervised Imitation Learning of Team Policies from Suboptimal

Low Dimensional Invariant Embeddings for Universal Geometric Learning

Learn-to-Race Challenge 2022: Benchmarking Safe Learning and
  Cross-domain Generalisation in Autonomous Racing

Cosmological informed neural networks to solve the background dynamics
  of the Universe

A Deep Bayesian Bandits Approach for Anticancer Therapy: Exploration via
  Functional Prior

Conversational Analysis of Daily Dialog Data using Polite Emotional
  Dialogue Acts

RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects
  with Graph Networks

Neural Jacobian Fields: Learning Intrinsic Mappings of Arbitrary Meshes

Lagrangian PINNs: A causality-conforming solution to failure modes of

New-Onset Diabetes Assessment Using Artificial Intelligence-Enhanced
  Electrocardiography

Interactive Model Cards: A Human-Centered Approach to Model
  Documentation

Adversarial confound regression and uncertainty measurements to classify
  heterogeneous clinical MRI in Mass General Brigham

Exploiting Ligand Additivity for Transferable Machine Learning of
  Multireference Character Across Known Transition Metal Complex Ligands

Metaversal Learning Environments: Measuring, predicting and improving
  interpersonal effectiveness

Toward A Fine-Grained Analysis of Distribution Shifts in MSMARCO

Contact Points Discovery for Soft-Body Manipulations with Differentiable
  Physics

Fixing Malfunctional Objects With Learned Physical Simulation and
  Functional Prediction

Cross-view Transformers for real-time Map-view Semantic Segmentation

Foundations for NLP-assisted formative assessment feedback for
  short-answer tasks in large-enrollment classes

Identifying Cause-and-Effect Relationships of Manufacturing Errors using
  Sequence-to-Sequence Learning

Dual Octree Graph Networks for Learning Adaptive Volumetric Shape

Generative methods for sampling transition paths in molecular dynamics

An Empirical Study on Activity Recognition in Long Surgical Videos

Development of Interpretable Machine Learning Models to Detect
  Arrhythmia based on ECG Data

Atlas-powered deep learning (ADL) -- application to diffusion weighted
  MRI

A Collaboration Strategy in the Mining Pool for
  Proof-of-Neural-Architecture Consensus

Heterogeneous Domain Adaptation with Adversarial Neural Representation
  Learning: Experiments on E-Commerce and Cybersecurity

REMuS-GNN: A Rotation-Equivariant Model for Simulating Continuum
  Dynamics

The VVV Open Cluster Project II. Near-infrared sequences of 37 open
  clusters on eight-dimensional parameter space

Characterizing player's playing styles based on Player Vectors for each
  playing position in the Chinese Football Super League

Intelligent Transportation Systems' Orchestration: Lessons Learned &
  Potential Opportunities

Neural Rendering in a Room: Amodal 3D Understanding and Free-Viewpoint
  Rendering for the Closed Scene Composed of Pre-Captured Objects

Coding IxD: Enabling Interdisciplinary Education by Sparking Reflection

REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine
  Learning Research

Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular

Sound Event Classification in an Industrial Environment: Pipe Leakage
  Detection Use Case

Do Different Deep Metric Learning Losses Lead to Similar Learned
  Features?

KnitCity: a machine learning-based, game-theoretical framework for
  prediction assessment and seismic risk policy design

LPC-AD: Fast and Accurate Multivariate Time Series Anomaly Detection via
  Latent Predictive Coding

What is Right for Me is Not Yet Right for You: A Dataset for Grounding
  Relative Directions via Multi-Task Learning

Unsupervised Mismatch Localization in Cross-Modal Sequential Data

A Deep Reinforcement Learning Framework for Rapid Diagnosis of Whole
  Slide Pathological Images

A Variable Metric and Nesterov Extrapolated Proximal DCA with
  Backtracking for A Composite DC Program

LAWS: Look Around and Warm-Start Natural Gradient Descent for Quantum

Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent
  DAGs with Applications

PyDaddy: A Python package for discovering stochastic dynamical equations
  from timeseries data

Model-Based Deep Learning: On the Intersection of Deep Learning and

ImPosing: Implicit Pose Encoding for Efficient Visual Localization

Towards Fast Simulation of Environmental Fluid Mechanics with
  Multi-Scale Graph Neural Networks

Geometry Relaxation and Transition State Search throughout Chemical
  Compound Space with Quantum Machine Learning

Holistic Approach to Measure Sample-level Adversarial Vulnerability and
  its Utility in Building Trustworthy Systems

The interventional Bayesian Gaussian equivalent score for Bayesian
  causal inference with unknown soft interventions

AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin
  Learning for Forensic Medical Image Matching

Natural Language Inference with Self-Attention for Veracity Assessment
  of Pandemic Claims

Internet of Things and Health Care in Pandemic COVID-19: System
  Requirements Evaluation

PI-NLF: A Proportional-Integral Approach for Non-negative Latent Factor
  Analysis

A Temporal-Pattern Backdoor Attack to Deep Reinforcement Learning

Intra and Cross-spectrum Iris Presentation Attack Detection in the NIR
  and Visible Domains Using Attention-based and Pixel-wise Supervised Learning

Byzantine Fault Tolerance in Distributed Machine Learning : a Survey

Balancing Multi-Domain Corpora Learning for Open-Domain Response

DropTrack -- automatic droplet tracking using deep learning for
  microfluidic applications

One Size Does Not Fit All: The Case for Personalised Word Complexity
  Models

LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent

Building Brains: Subvolume Recombination for Data Augmentation in Large
  Vessel Occlusion Detection

Electronic band structure screening for Dirac points in Heuslers

Segmentation with Super Images: A New 2D Perspective on 3D Medical Image
  Analysis

YOLOPose: Transformer-based Multi-Object 6D Pose Estimation using
  Keypoint Regression

M2R2: Missing-Modality Robust emotion Recognition framework with
  iterative data augmentation

Structural Extensions of Basis Pursuit: Guarantees on Adversarial

Deep Neural Network approaches for Analysing Videos of Music
  Performances

A Simple Contrastive Learning Objective for Alleviating Neural Text
  Degeneration

View-labels Are Indispensable: A Multifacet Complementarity Study of
  Multi-view Clustering

Invariant Content Synergistic Learning for Domain Generalization of
  Medical Image Segmentation

FastRE: Towards Fast Relation Extraction with Convolutional Encoder and
  Improved Cascade Binary Tagging Framework

DouFu: A Double Fusion Joint Learning Method For Driving Trajectory

Exploiting Correspondences with All-pairs Correlations for Multi-view
  Depth Estimation

dPRO: A Generic Profiling and Optimization System for Expediting
  Distributed DNN Training

Alignahead: Online Cross-Layer Knowledge Extraction on Graph Neural
  Networks

Optimal Algorithms for Mean Estimation under Local Differential Privacy

KGTuner: Efficient Hyper-parameter Search for Knowledge Graph Learning

Soft and Hard Constrained Parametric Generative Schemes for Encoding and
  Synthesizing Airfoils

Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline

Multi-Graph based Multi-Scenario Recommendation in Large-scale Online
  Video Services

TomoSAR-ALISTA: Efficient TomoSAR Imaging via Deep Unfolded Network

DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in
  Time Series Data

Uncertainty Minimization for Personalized Federated Semi-Supervised
  Learning

Image Features Influence Reaction Time: A Learned Probabilistic
  Perceptual Model for Saccade Latency

FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs

HARL: A Novel Hierachical Adversary Reinforcement Learning for
  Automoumous Intersection Management

Generative Adversarial Network Based Synthetic Learning and a Novel
  Domain Relevant Loss Term for Spine Radiographs

Quantum Semantic Communications: An Unexplored Avenue for Contextual
  Networking

Towards Real-time Traffic Sign and Traffic Light Detection on Embedded
  Systems

Understanding Transfer Learning for Chest Radiograph Clinical Report
  Generation with Modified Transformer Architectures

Subverting Fair Image Search with Generative Adversarial Perturbations

Surface Reconstruction from Point Clouds: A Survey and a Benchmark

Sequential Importance Sampling for Hybrid Model Bayesian Inference to
  Support Bioprocess Mechanism Learning and Robust Control

Dangling-Aware Entity Alignment with Mixed High-Order Proximities

Interactive Grounded Language Understanding in a Collaborative
  Environment: IGLU 2021

Response Component Analysis for Sea State Estimation Using Artificial
  Neural Networks and Vessel Response Spectral Data

A Bayesian Detect to Track System for Robust Visual Object Tracking and
  Semi-Supervised Model Learning

KenSwQuAD -- A Question Answering Dataset for Swahili Low Resource
  Language

Creating a Forensic Database of Shoeprints from Online Shoe Tread Photos

FedSPLIT: One-Shot Federated Recommendation System Based on Non-negative
  Joint Matrix Factorization and Knowledge Distillation

Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt
  Tuning

GAN Inversion for Data Augmentation to Improve Colonoscopy Lesion

On Preemptive Scheduling of Unrelated Machines Using Linear Programming

Convolutional and Residual Networks Provably Contain Lottery Tickets

Knowledge Distillation of Russian Language Models with Reduction of
  Vocabulary

Acceleration Strategies for MR-STAT: Achieving High-Resolution
  Reconstructions on a Desktop PC within 3 minutes

Learning Individual Interactions from Population Dynamics with
  Discrete-Event Simulation Model

Reinforcement Learning Algorithm for Mixed Mean Field Control Games

Safe Bayesian Optimization using Interior-Point Methods -- Applied to
  Personalized Insulin Dose Guidance

Most Activation Functions Can Win the Lottery Without Excessive Depth

Language Models in the Loop: Incorporating Prompting into Weak

GRU-TV: Time- and velocity-aware GRU for patient representation on
  multivariate clinical time-series data

Towards Robust and Semantically Organised Latent Representations for
  Unsupervised Text Style Transfer

Operator inference for non-intrusive model reduction with quadratic
  manifolds

Analysing the Robustness of Dual Encoders for Dense Retrieval Against
  Misspellings

Machine Learning Operations (MLOps): Overview, Definition, and

P3IV: Probabilistic Procedure Planning from Instructional Videos with
  Weak Supervision

Zero Day Threat Detection Using Graph and Flow Based Security Telemetry

Original or Translated? A Causal Analysis of the Impact of
  Translationese on Machine Translation Performance

DeepBayes -- an estimator for parameter estimation in stochastic
  nonlinear dynamical models

Deep Potential: Recovering the gravitational potential from a snapshot
  of phase space

HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised
  Relation Extraction

Semi-supervised learning approaches for predicting South African
  political sentiment for local government elections

COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked
  Vehicles

FedNest: Federated Bilevel, Minimax, and Compositional Optimization

Semi-Supervised Cascaded Clustering for Classification of Noisy Label
  Data

Wavelet neural operator: a neural operator for parametric partial
  differential equations

Compound virtual screening by learning-to-rank with gradient boosting
  decision tree and enrichment-based cumulative gain

Evaluating Transferability for Covid 3D Localization Using CT SARS-CoV-2
  segmentation models

Dual Cross-Attention Learning for Fine-Grained Visual Categorization and
  Object Re-Identification

Domino Saliency Metrics: Improving Existing Channel Saliency Metrics
  with Structural Information

Are All the Datasets in Benchmark Necessary? A Pilot Study of Dataset
  Evaluation for Text Classification

Using Deep Reinforcement Learning to solve Optimal Power Flow problem
  with generator failures

Prediction of fish location by combining fisheries data and sea bottom
  temperature forecasting

MAD: Self-Supervised Masked Anomaly Detection Task for Multivariate Time
  Series

Data Cleansing for Indoor Positioning Wi-Fi Fingerprinting Datasets

qLEET: Visualizing Loss Landscapes, Expressibility, Entangling Power and
  Training Trajectories for Parameterized Quantum Circuits

Dual Branch Neural Network for Sea Fog Detection in Geostationary Ocean
  Color Imager

Reinforcement Learning for Improved Random Access in Delay-Constrained
  Heterogeneous Wireless Networks

Minimum Cost Intervention Design for Causal Effect Identification

Self-Supervised Learning for Invariant Representations from
  Multi-Spectral and SAR Images

A Manifold Two-Sample Test Study: Integral Probability Metric with

Who Will Support My Project? Interactive Search of Potential
  Crowdfunding Investors Through InSearch

Immiscible Color Flows in Optimal Transport Networks for Image

CODE-MVP: Learning to Represent Source Code from Multiple Views with
  Contrastive Pre-Training

TransRank: Self-supervised Video Representation Learning via
  Ranking-based Transformation Recognition

Same Neurons, Different Languages: Probing Morphosyntax in Multilingual
  Pre-trained Models

Comment on 'Erratum: 'Two-dimensional porous graphitic carbon nitride
  C6N7 monolayer: First-principles calculations' [Appl. Phys. Lett. 119, 142102
  (2021)]'

Towards Job-Transition-Tag Graph for a Better Job Title Representation
  Learning

On Continual Model Refinement in Out-of-Distribution Data Streams

Multi-subgoal Robot Navigation in Crowds with History Information and

Design of a novel Korean learning application for efficient
  pronunciation correction

EmoBank: Studying the Impact of Annotation Perspective and
  Representation Format on Dimensional Emotion Analysis

Wild Patterns Reloaded: A Survey of Machine Learning Security against
  Training Data Poisoning

Modelling calibration uncertainty in networks of environmental sensors

ON-TRAC Consortium Systems for the IWSLT 2022 Dialect and Low-resource
  Speech Translation Tasks

Lifelong Ensemble Learning based on Multiple Representations for
  Few-Shot Object Recognition

Collision Resolution with Deep Reinforcement Learning for Random Access
  in Machine-Type Communication

Non-Autoregressive Machine Translation: It's Not as Fast as it Seems

CE-based white-box adversarial attacks will not work using super-fitting

State Representation Learning for Goal-Conditioned Reinforcement
  Learning

Word Tour: One-dimensional Word Embeddings via the Traveling Salesman
  Problem

Uncertainty-Autoencoder-Based Privacy and Utility Preserving Data Type
  Conscious Transformation

EllSeg-Gen, towards Domain Generalization for head-mounted eyetracking

A Deep Learning Ensemble Framework for Off-Nadir Geocentric Pose

Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs

DeepFD: Automated Fault Diagnosis and Localization for Deep Learning
  Programs

Self-supervised learning in non-small cell lung cancer discovers novel
  morphological clusters linked to patient outcome and molecular phenotypes

Explainable Anomaly Detection for Industrial Control System
  Cybersecurity

Explain to Not Forget: Defending Against Catastrophic Forgetting with
  XAI

Zero-Episode Few-Shot Contrastive Predictive Coding: Solving
  intelligence tests without prior training

Lessons learned from Milan electric power distribution networks data
  analysis during COVID-19 pandemic

Second Order Path Variationals in Non-Stationary Online Learning

Modeling Task Interactions in Document-Level Joint Entity and Relation

ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically
  Simulated Characters

ImAiR: Airwriting Recognition framework using Image Representation of
  IMU Signals

Go Back in Time: Generating Flashbacks in Stories with Event Temporal
  Prompts

Virtual Analog Modeling of Distortion Circuits Using Neural Ordinary

Crystal Twins: Self-supervised Learning for Crystalline Material

Unsupervised Domain Adaptation Learning for Hierarchical Infant Pose
  Recognition with Synthetic Data

Improving Multi-Document Summarization through Referenced Flexible
  Extraction with Credit-Awareness

Uncertainty estimation of pedestrian future trajectory using Bayesian

P^3 Ranker: Mitigating the Gaps between Pre-training and Ranking
  Fine-tuning with Prompt-based Learning and Pre-finetuning

Exploring Entity Interactions for Few-Shot Relation Learning (Student
  Abstract)

fairlib: A Unified Framework for Assessing and Improving Classification
  Fairness

Machine Learning based Framework for Robust Price-Sensitivity Estimation
  with Application to Airline Pricing

Joint Image Compression and Denoising via Latent-Space Scalability

Wasserstein Adversarial Learning based Temporal Knowledge Graph
  Embedding

UCL-Dehaze: Towards Real-world Image Dehazing via Unsupervised

Correlated Read Noise Reduction in Infrared Arrays Using Deep Learning

DEAR: A Novel Deep Learning-based Approach for Automated Program Repair

DeeptDCS: Deep Learning-Based Estimation of Currents Induced During
  Transcranial Direct Current Stimulation

SMLT: A Serverless Framework for Scalable and Adaptive Machine Learning
  Design and Training

FedMix: Mixed Supervised Federated Learning for Medical Image

Explainable Knowledge Graph Embedding: Inference Reconciliation for
  Knowledge Inferences Supporting Robot Actions

Data Governance in the Age of Large-Scale Data-Driven Language
  Technology

Zero-shot Sonnet Generation with Discourse-level Planning and Aesthetics
  Features

i-Code: An Integrative and Composable Multimodal Learning Framework

Splicing Detection and Localization In Satellite Imagery Using
  Conditional GANs

Exploration of the possibility of infusing Social Media Trends into
  generating NFT Recommendations

A Review on Pushing the Limits of Baseline Recommendation Systems with
  the integration of Opinion Mining & Information Retrieval Techniques

Synthesized Speech Detection Using Convolutional Transformer-Based
  Spectrogram Analysis

Meta-Cognition. An Inverse-Inverse Reinforcement Learning Approach for
  Cognitive Radars

Robustness of binary stochastic neurons implemented with low barrier
  nanomagnets made of dilute magnetic semiconductors

TartanDrive: A Large-Scale Dataset for Learning Off-Road Dynamics Models

Do More Negative Samples Necessarily Hurt in Contrastive Learning?

The ICML 2022 Expressive Vocalizations Workshop and Competition:
  Recognizing, Generating, and Personalizing Vocal Bursts

Deep Multi-Scale U-Net Architecture and Label-Noise Robust Training
  Strategies for Histopathological Image Segmentation

Os Dados dos Brasileiros sob Risco na Era da Inteligência Artificial?

Data-Consistent Non-Cartesian Deep Subspace Learning for Efficient
  Dynamic MR Image Reconstruction

Explain and Conquer: Personalised Text-based Reviews to Achieve
  Transparency

XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal
  Expression Extraction

Self-focusing virtual screening with active design space pruning

Application of belief functions to medical image segmentation: A review

Detection of Propaganda Techniques in Visuo-Lingual Metaphor in Memes

Don't sweat the small stuff, classify the rest: Sample Shielding to
  protect text classifiers against adversarial attacks

MemSE: Fast MSE Prediction for Noisy Memristor-Based DNN Accelerators

Object Class Aware Video Anomaly Detection through Image Translation

Improving In-Context Few-Shot Learning via Self-Supervised Training

Classification of Galaxy Cluster Membership with Machine Learning

End2End Multi-View Feature Matching using Differentiable Pose

End-to-End Visual Editing with a Generatively Pre-Trained Artist

DANBO: Disentangled Articulated Neural Body Representations via Graph

Cross-modal Representation Learning for Zero-shot Action Recognition

GeoRefine: Self-Supervised Online Depth Refinement for Accurate Dense
  Mapping

Unique Characterisability and Learnability of Temporal Instance Queries

Intelligent Trajectory Design for RIS-NOMA aided Multi-robot

A Contrario multi-scale anomaly detection method for industrial quality
  inspection

Practical Saccade Prediction for Head-Mounted Displays: Towards a
  Comprehensive Model

Machine Learning-Assisted Multi-Objective Optimization of Battery
  Manufacturing from Synthetic Data Generated by Physics-Based Simulations

Unifying the Convergences in Multilingual Neural Machine Translation

A New Approach to Compute Information Theoretic Outer Bounds and Its
  Application to Regenerating Codes

Local Stochastic Bilevel Optimization with Momentum-Based Variance
  Reduction

An untrained deep learning method for reconstructing dynamic magnetic
  resonance images from accelerated model-based data

A Comparison of Approaches for Imbalanced Classification Problems in the
  Context of Retrieving Relevant Documents for an Analysis

An Empirical Study on Internet Traffic Prediction Using Statistical
  Rolling Model

SparCAssist: A Model Risk Assessment Assistant Based on Sparse Generated
  Counterfactuals

Simpler is Better: off-the-shelf Continual Learning Through Pretrained
  Backbones

An Explore of Virtual Reality for Awareness of the Climate Change
  Crisis: A Simulation of Sea Level Rise

RAFT-MSF: Self-Supervised Monocular Scene Flow using Recurrent Optimizer

Effect of Random Histogram Equalization on Breast Calcification Analysis

Privacy Amplification via Random Participation in Federated Learning

Learn To Remember: Transformer with Recurrent Memory for Document-Level

ExSpliNet: An interpretable and expressive spline-based neural network

MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated
  Learning

A unified view on Self-Organizing Maps (SOMs) and Stochastic Neighbor
  Embedding (SNE)

A Comprehensive Survey of Image Augmentation Techniques for Deep
  Learning

Multi-Spatio-temporal Fusion Graph Recurrent Network for Traffic

Real-Time Streaming and Event-driven Control of Scientific Experiments

Picophotonics -- Subatomic Optical Resolution Beyond Thermal
  Fluctuations

Learning Economic Indicators by Aggregating Multi-Level Geospatial

Revisiting Communication-Efficient Federated Learning with Balanced
  Global and Local Updates

Deep learning of quantum entanglement from incomplete measurements

Dependency, Data and Decolonisation: A Framework for Decolonial Thinking
  in Collaborative AI Research

Predicting vacant parking space availability zone-wisely: a graph based
  spatio-temporal prediction approach

High-dimensional Asymptotics of Feature Learning: How One Gradient Step
  Improves the Representation

RLFlow: Optimising Neural Network Subgraph Transformation with World
  Models

ARCADE: Adversarially Regularized Convolutional Autoencoder for Network

Autonomy and Intelligence in the Computing Continuum: Challenges,
  Enablers, and Future Directions for Orchestration

An Empirical Analysis of the Use of Real-Time Reachability for the
  Safety Assurance of Autonomous Vehicles

Multimodal Detection of Unknown Objects on Roads for Autonomous Driving

Neural Language Taskonomy: Which NLP Tasks are the most Predictive of
  fMRI Brain Activity?

Sea Ice Concentration Estimation Techniques Using Machine Learning: An
  End-To-End Workflow for Estimating Concentration Maps from SAR Images

Neural language models for network configuration: Opportunities and
  reality check

Data Determines Distributional Robustness in Contrastive Language Image
  Pre-training (CLIP)

Cost-Efficient and QoS-Aware User Association and 3D Placement of 6G
  Aerial Mobile Access Points

Sampling-free obstacle gradients and reactive planning in Neural
  Radiance Fields (NeRF)

Smooth over-parameterized solvers for non-smooth structured optimization

Kompetencer: Fine-grained Skill Classification in Danish Job Postings
  via Distant Supervision and Transfer Learning

Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive
  Review

Textual Entailment for Event Argument Extraction: Zero- and Few-Shot
  with Multi-Source Learning

Understanding Urban Water Consumption using Remotely Sensed Data

Learning Label Initialization for Time-Dependent Harmonic Extension

Biometric Signature Verification Using Recurrent Neural Networks

Predicting Loose-Fitting Garment Deformations Using Bone-Driven Motion
  Networks

Improved Orientation Estimation and Detection with Hybrid Object
  Detection Networks for Automotive Radar

Learning Discrete Structured Variational Auto-Encoder using Natural
  Evolution Strategies

Open vs Closed-ended questions in attitudinal surveys -- comparing,
  combining, and interpreting using natural language processing

Distilling Governing Laws and Source Input for Dynamical Systems from
  Videos

Disentangled and Side-aware Unsupervised Domain Adaptation for
  Cross-dataset Subjective Tinnitus Diagnosis

Automatically Debugging AutoML Pipelines using Maro: ML Automated
  Remediation Oracle (Extended Version)

FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning

Contrastive Learning for Prompt-Based Few-Shot Language Learners

CANShield: Signal-based Intrusion Detection for Controller Area Networks

Convergence of Stochastic Approximation via Martingale and Converse
  Lyapunov Methods

Towards an Ensemble Regressor Model for Anomalous ISP Traffic Prediction

Visual Knowledge Discovery with Artificial Intelligence: Challenges and
  Future Directions

A Survey of Deep Learning Models for Structural Code Understanding

Cross Domain Object Detection by Target-Perceived Dual Branch

When Multi-Level Meets Multi-Interest: A Multi-Grained Neural Model for
  Sequential Recommendation

Side-aware Meta-Learning for Cross-Dataset Listener Diagnosis with
  Subjective Tinnitus

Scalable Private Decision Tree Evaluation with Sublinear Communication

Improving Dual-Microphone Speech Enhancement by Learning Cross-Channel
  Features with Multi-Head Attention

Real-time Cooperative Vehicle Coordination at Unsignalized Road
  Intersections

Physics to the Rescue: Deep Non-line-of-sight Reconstruction for
  High-speed Imaging

Statistical-mechanical study of deep Boltzmann machine given weight
  parameters after training by singular value decomposition

PropEM-L: Radio Propagation Environment Modeling and Learning for
  Communication-Aware Multi-Robot Exploration

From {Solution Synthesis} to {Student Attempt Synthesis} for Block-Based
  Visual Programming Tasks

The Resistive Nature of Decomposing Interfaces of Solid Electrolytes
  with Alkali Metal Electrodes

Universal Optimality and Robust Utility Bounds for Metric Differential
  Privacy

Using Constraint Programming and Graph Representation Learning for
  Generating Interpretable Cloud Security Policies

ASTROMER: A transformer-based embedding for the representation of light
  curves

One Weird Trick to Improve Your Semi-Weakly Supervised Semantic
  Segmentation Model

COMET Flows: Towards Generative Modeling of Multivariate Extremes and
  Tail Dependence

Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid

Insider Stories: Analyzing Internal Sustainability Efforts of Major US
  Companies from Online Reviews

An improvement to a result about graph isomorphism networks using the
  prime factorization theorem

Applications of Deep Learning to the Design of Enhanced Wireless

FundusQ-Net: a Regression Quality Assessment Deep Learning Algorithm for
  Fundus Images Quality Grading

Machine Learning Interatomic Potential for Simulations of Carbon at
  Extreme Conditions

Multi-Task Text Classification using Graph Convolutional Networks for
  Large-Scale Low Resource Language

Deep Learning Framework for Real-time Fetal Brain Segmentation in MRI

MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust
  Classification of Breast Cancer

Predicting Time-to-conversion for Dementia of Alzheimer's Type using
  Multi-modal Deep Survival Analysis

Performance Weighting for Robust Federated Learning Against Corrupted
  Sources

Using Machine Learning to Evaluate Real Estate Prices Using Location Big
  Data

VAE-Loco: Versatile Quadruped Locomotion by Learning a Disentangled Gait

A Case Study on Parallel HDF5 Dataset Concatenation for High Energy
  Physics Data Analysis

Reproducing Kernels and New Approaches in Compositional Data Analysis

SELC: Self-Ensemble Label Correction Improves Learning with Noisy Labels

Deep Learning-Based Super-Resolution and De-Noising for XMM-Newton
  Images

D-DPCC: Deep Dynamic Point Cloud Compression via 3D Motion Prediction

Hausa Visual Genome: A Dataset for Multi-Modal English to Hausa Machine

A Deep Learning-based Integrated Framework for Quality-aware
  Undersampled Cine Cardiac MRI Reconstruction and Analysis

Neurocompositional computing: From the Central Paradox of Cognition to a
  new generation of AI systems

Measuring Galactic Dark Matter through Unsupervised Machine Learning

ComPhy: Compositional Physical Reasoning of Objects and Events from
  Videos

Ensemble pruning via an integer programming approach with diversity
  constraints

Wav2Seq: Pre-training Speech-to-Text Encoder-Decoder Models Using Pseudo
  Languages

Comment on "Manifolds of quasi-constant SOAP and ACSF fingerprints and
  the resulting failure to machine learn four body interactions"

A Change Dynamic Model for the Online Detection of Gradual Change

RANG: A Residual-based Adaptive Node Generation Method for

PreMovNet: Pre-Movement EEG-based Hand Kinematics Estimation for Grasp
  and Lift task

Center-of-Mass-based Robust Grasp Pose Adaptation Using RGBD Camera and
  Force/Torque Sensing

Asymptotic Normality for Plug-in Estimators of Generalized Shannon's
  Entropy

Open-Set Semi-Supervised Learning for 3D Point Cloud Understanding

A Sharp Memory-Regret Trade-Off for Multi-Pass Streaming Bandits

LIDER: An Efficient High-dimensional Learned Index for Large-scale Dense
  Passage Retrieval

CCLF: A Contrastive-Curiosity-Driven Learning Framework for
  Sample-Efficient Reinforcement Learning

Music Interpretation Analysis. A Multimodal Approach To Score-Informed
  Resynthesis of Piano Recordings

The NICER "Reverberation Machine": A Systematic Study of Time Lags in
  Black Hole X-Ray Binaries

Revisiting Gaussian Neurons for Online Clustering with Unknown Number of
  Clusters

MemSeg: A semi-supervised method for image surface defect detection
  using differences and commonalities

FastGCL: Fast Self-Supervised Learning on Graphs via Contrastive
  Neighborhood Aggregation

Positive-Unlabeled Learning with Adversarial Data Augmentation for

Fast Continuous and Integer L-shaped Heuristics Through Supervised
  Learning

On the generalization capabilities of FSL methods through domain
  adaptation: a case study in endoscopic kidney stone image classification

Modeling and mitigation of occupational safety risks in dynamic
  industrial environments

Capturing High-order Structures on Motif-based Graph Nerual Networks

WeatherBench Probability: A benchmark dataset for probabilistic
  medium-range weather forecasting along with deep learning baseline models

Star-specific Key-homomorphic PRFs from Linear Regression and Extremal
  Set Theory

Lightweight Image Enhancement Network for Mobile Devices Using
  Self-Feature Extraction and Dense Modulation

Model-based Deep Learning Receiver Design for Rate-Splitting Multiple
  Access

Stability-driven Contact Reconstruction From Monocular Color Images

APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient
  Point Cloud Classification

Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs

Efficient Accelerator for Dilated and Transposed Convolution with

Real Time On Sensor Gait Phase Detection with 0.5KB Deep Learning Model

A Real Time 1280x720 Object Detection Chip With 585MB/s Memory Traffic

PSCNN: A 885.86 TOPS/W Programmable SRAM-based Computing-In-Memory
  Processor for Keyword Spotting

RangeSeg: Range-Aware Real Time Segmentation of 3D LiDAR Point Clouds

Zebra: Memory Bandwidth Reduction for CNN Accelerators With Zero Block
  Regularization of Activation Maps

Sparse Compressed Spiking Neural Network Accelerator for Object
  Detection

BSRA: Block-based Super Resolution Accelerator with Hardware Efficient
  Pixel Attention

Large Neighborhood Search based on Neural Construction Heuristics

Rethinking Gradient Operator for Exposing AI-enabled Face Forgeries

Mono-surrogate vs Multi-surrogate in Multi-objective Bayesian
  Optimisation

Data-driven emotional body language generation for social robotics

Machine-learned cloud classes from satellite data for process-oriented
  climate model evaluation

Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor

FedDKD: Federated Learning with Decentralized Knowledge Distillation

3D Object Detection with a Self-supervised Lidar Scene Flow Backbone

Jam or Cream First? Modeling Ambiguity in Neural Machine Translation
  with SCONES

DeepGraviLens: a Multi-Modal Architecture for Classifying Gravitational
  Lensing Data

Unsupervised Denoising of Optical Coherence Tomography Images with
  Dual_Merged CycleWGAN

Learning stability guarantees for data-driven constrained switching
  linear systems

A Multi-stage deep architecture for summary generation of soccer videos

Contrastive Learning for Improving ASR Robustness in Spoken Language

From Noisy Prediction to True Label: Noisy Prediction Calibration via
  Generative Model

MaLeFiSenta: Machine Learning for FilamentS Identification and
  orientation in the ISM

Jack and Masters of All Trades: One-Pass Learning of a Set of Model Sets
  from Foundation AI Models

Improving Students' Academic Performance with AI and Semantic
  Technologies

Reducing the Cost of Training Security Classifier (via Optimized
  Semi-Supervised Learning)

Simple Techniques Work Surprisingly Well for Neural Network Test
  Prioritization and Active Learning (Replicability Study)

Skeptical binary inferences in multi-label problems with sets of
  probabilities

Debiased Contrastive Learning of Unsupervised Sentence Representations

Sequence Learning and Consolidation on Loihi using On-chip Plasticity

The Multivariate Community Hawkes Model for Dependent Relational Events
  in Continuous-time Networks

Learning Multi-dimensional Edge Feature-based AU Relation Graph for
  Facial Action Unit Recognition

DFC: Anatomically Informed Fiber Clustering with Self-supervised Deep
  Learning for Fast and Effective Tractography Parcellation

Community detection in multiplex networks based on orthogonal
  nonnegative matrix tri-factorization

Teaching BERT to Wait: Balancing Accuracy and Latency for Streaming
  Disfluency Detection

POLITICS: Pretraining with Same-story Article Comparison for Ideology
  Prediction and Stance Detection

Physics-aware Reduced-order Modeling of Transonic Flow via
  $β$-Variational Autoencoder

HatCUP: Hybrid Analysis and Attention based Just-In-Time Comment
  Updating

Variation-cognizant Probabilistic Power Flow Analysis via Multi-task
  Learning

Attention-wise masked graph contrastive learning for predicting
  molecular property

A New Dimensionality Reduction Method Based on Hensel's Compression for
  Privacy Protection in Federated Learning

Using a novel fractional-order gradient method for CNN back-propagation

Data-driven control of spatiotemporal chaos with reduced-order neural
  ODE-based models and reinforcement learning

Thermodynamically Consistent Machine-Learned Internal State Variable
  Approach for Data-Driven Modeling of Path-Dependent Materials

Medical Coding with Biomedical Transformer Ensembles and Zero/Few-shot
  Learning

Game-Theoretic Planning for Autonomous Driving among Risk-Aware Human
  Drivers

Experimental quantum pattern recognition in IBMQ and diamond NVs

Federated Semi-Supervised Classification of Multimedia Flows for 3D
  Networks

Engineering deep learning methods on automatic detection of damage in
  infrastructure due to extreme events

Persistent Laplacian projected Omicron BA.4 and BA.5 to become new
  dominating variants

Deep vs. Shallow Learning: A Benchmark Study in Low Magnitude Earthquake
  Detection

Accurate non-stationary short-term traffic flow prediction method

An Early Fault Detection Method of Rotating Machines Based on Multiple
  Feature Fusion with Stacking Architecture

Preserve Pre-trained Knowledge: Transfer Learning With Self-Distillation
  For Action Recognition

Is Your Toxicity My Toxicity? Exploring the Impact of Rater Identity on
  Toxicity Annotation

Relation-guided acoustic scene classification aided with event

CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument

Dynamic Programming in Rank Space: Scaling Structured Inference with
  Low-Rank HMMs and PCFGs

Nearest Neighbor Knowledge Distillation for Neural Machine Translation

A Dataset-free Deep learning Method for Low-Dose CT Image Reconstruction

Training High-Performance Low-Latency Spiking Neural Networks by
  Differentiation on Spike Representation

An Analysis of the Features Considerable for NFT Recommendations

Molecular Identification from AFM images using the IUPAC Nomenclature
  and Attribute Multimodal Recurrent Neural Networks

Adaptive Online Optimization with Predictions: Static and Dynamic

Differentially Private Multivariate Time Series Forecasting of
  Aggregated Human Mobility With Deep Learning: Input or Gradient Perturbation?

Analysis of Diffractive Neural Networks for Seeing Through Random
  Diffusers

TinyLight: Adaptive Traffic Signal Control on Devices with Extremely
  Limited Resources

Unified Abstract Syntax Tree Representation Learning for Cross-Language
  Program Classification

Branch & Learn for Recursively and Iteratively Solvable Problems in
  Predict+Optimize

UTC: A Unified Transformer with Inter-Task Contrastive Learning for
  Visual Dialog

Don't Blame the Annotator: Bias Already Starts in the Annotation

Stable Reinforcement Learning for Optimal Frequency Control: A
  Distributed Averaging-Based Integral Approach

A Simple Approach to Improve Single-Model Deep Uncertainty via
  Distance-Awareness

Fine-Grained Address Segmentation for Attention-Based Variable-Degree
  Prefetching

Learning user-defined sub-goals using memory editing in reinforcement
  learning

A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools
  Stock Predictions

Neural Network Optimal Feedback Control with Guaranteed Local Stability

Abnormal-aware Multi-person Evaluation System with Improved Fuzzy
  Weighting

Crude Oil-related Events Extraction and Processing: A Transfer Learning
  Approach

Geometric Graph Representation with Learnable Graph Structure and
  Adaptive AU Constraint for Micro-Expression Recognition

Detecting COVID-19 Conspiracy Theories with Transformers and TF-IDF

Fair Feature Subset Selection using Multiobjective Genetic Algorithm

A Simple and General Duality Proof for Wasserstein Distributionally

Combined Learning of Neural Network Weights for Privacy in Collaborative
  Tasks

Adapting and Evaluating Influence-Estimation Methods for
  Gradient-Boosted Decision Trees

Towards Process-Oriented, Modular, and Versatile Question Generation
  that Meets Educational Needs

End-to-End Signal Classification in Signed Cumulative Distribution
  Transform Space

Mosaic Zonotope Shadow Matching for Risk-Aware Autonomous Localization
  in Harsh Urban Environments

Engineering flexible machine learning systems by traversing functionally
  invariant paths in weight space

Continual Learning with Foundation Models: An Empirical Study of Latent
  Replay

p5.fab: Direct Control of Digital Fabrication Machines from a Creative
  Coding Environment

FairSR: Fairness-aware Sequential Recommendation through Multi-Task
  Learning with Preference Graph Embeddings

AdapterBias: Parameter-efficient Token-dependent Representation Shift
  for Adapters in NLP Tasks

SHAPE: An Unified Approach to Evaluate the Contribution and Cooperation
  of Individual Modalities

TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and
  its Application to Reinforcement Learning

Dark matter properties from the Fornax globular cluster timing:
  dynamical friction and cored profiles

Assessing Fatigue with Multimodal Wearable Sensors and Machine Learning

Learning Effective SDEs from Brownian Dynamics Simulations of Colloidal
  Particles

Leveraging Emotion-specific Features to Improve Transformer Performance
  for Emotion Classification

A CNN Approach for 5G mmWave Positioning Using Beamformed CSI
  Measurements

Understanding the Generalization Performance of Spectral Clustering

Deep learning-based single-shot computational spectrometer using
  multilayer thin films

Accelerating Backward Aggregation in GCN Training with Execution Path
  Preparing on GPUs

CAIPI in Practice: Towards Explainable Interactive Medical Image

Yunshan Cup 2020: Overview of the Part-of-Speech Tagging Task for
  Low-resourced Languages

Adversarial Analysis of the Differentially-Private Federated Learning in
  Cyber-Physical Critical Infrastructures

Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow

Domain Adversarial Graph Convolutional Network Based on RSSI and
  Crowdsensing for Indoor Localization

Forecasting Cryptocurrency Returns from Sentiment Signals: An Analysis
  of BERT Classifiers and Weak Supervision

Global HRTF Interpolation via Learned Affine Transformation of
  Hyper-conditioned Features

Failure Identification from Unstable Log Data using Deep Learning

Super-resolved multi-temporal segmentation with deep
  permutation-invariant networks

A Weakly Supervised Propagation Model for Rumor Verification and Stance
  Detection with Multiple Instance Learning

Bridging the Gap of AutoGraph between Academia and Industry: Analysing
  AutoGraph Challenge at KDD Cup 2020

There Are a Thousand Hamlets in a Thousand People's Eyes: Enhancing
  Knowledge-grounded Dialogue with Personal Memory

Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction

Towards Robust Adaptive Object Detection under Noisy Annotations

Cloning Outfits from Real-World Images to 3D Characters for
  Generalizable Person Re-Identification

Consensual Aggregation on Random Projected High-dimensional Features for

Interactive Evolutionary Multi-Objective Optimization via
  Learning-to-Rank

An Intelligent Framework for Oversubscription Management in CPU-GPU
  Unified Memory

Nonlinear gradient mappings and stochastic optimization: A general
  framework with applications to heavy-tail noise

Thinking inside The Box: Learning Hypercube Representations for Group

Contextual Attention Mechanism, SRGAN Based Inpainting System for
  Eliminating Interruptions from Images

SqueezeNeRF: Further factorized FastNeRF for memory-efficient inference

PAGP: A physics-assisted Gaussian process framework with active learning
  for forward and inverse problems of partial differential equations

Banana Sub-Family Classification and Quality Prediction using Computer
  Vision

RF Signal Transformation and Classification using Deep Neural Networks

Greedier is Better: Selecting Multiple Neighbors per Iteration for
  Sparse Subspace Clustering

Machine Learning-Based GPS Multipath Detection Method Using Dual
  Antennas

Optimal Sublinear Sampling of Spanning Trees and Determinantal Point
  Processes via Average-Case Entropic Independence

Gait Recognition in the Wild with Dense 3D Representations and A
  Benchmark

FairNeuron: Improving Deep Neural Network Fairness with Adversary Games
  on Selective Neurons

Modeling Temporal-Modal Entity Graph for Procedural Multimodal Machine

DouZero+: Improving DouDizhu AI by Opponent Modeling and Coach-guided
  Learning

RODD: A Self-Supervised Approach for Robust Out-of-Distribution
  Detection

Continuous LWE is as Hard as LWE & Applications to Learning Gaussian
  Mixtures

Style-Hallucinated Dual Consistency Learning for Domain Generalized

Emphasis on the Minimization of False Negatives or False Positives in
  Binary Classification

Service resource allocation problem in the IoT driven personalized
  healthcare information platform

In-Pocket 3D Graphs Enhance Ligand-Target Compatibility in Generative
  Small-Molecule Creation

Brain-Inspired Hyperdimensional Computing: How Thermal-Friendly for Edge
  Computing?

User-Level Differential Privacy against Attribute Inference Attack of
  Speech Emotion Recognition in Federated Learning

Privacy-Preserving Federated Learning via System Immersion and Random
  Matrix Encryption

Leveraging Disentangled Representations to Improve Vision-Based
  Keystroke Inference Attacks Under Low Data

Pareto-optimal clustering with the primal deterministic information
  bottleneck

Discovering and forecasting extreme events via active learning in neural
  operators

LAMNER: Code Comment Generation Using Character Language Model and Named

Training-Free Robust Multimodal Learning via Sample-Wise Jacobian

Adversarial Robustness through the Lens of Convolutional Filters

Learning Optimal K-space Acquisition and Reconstruction using

Generative Enriched Sequential Learning (ESL) Approach for Molecular
  Design via Augmented Domain Knowledge

Combining Spectral and Self-Supervised Features for Low Resource Speech
  Recognition and Translation

Model-Based Deep Learning of Joint Probabilistic and Geometric Shaping
  for Optical Communication

Predicting and Explaining Mobile UI Tappability with Vision Modeling and
  Saliency Analysis

Detecting Cloud-Based Phishing Attacks by Combining Deep Learning Models

CHORE: Contact, Human and Object REconstruction from a single RGB image

Imaging Conductivity from Current Density Magnitude using Neural
  Networks

OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses

Constraining cosmology with machine learning and galaxy clustering: the
  CAMELS-SAM suite

SALISA: Saliency-based Input Sampling for Efficient Video Object
  Detection

A Piecewise Learning Framework for Control of Unknown Nonlinear Systems

SE(3)-Equivariant Attention Networks for Shape Reconstruction in
  Function Space

Learning to Drive by Watching YouTube Videos: Action-Conditioned
  Contrastive Policy Pretraining

Deep Interactive Motion Prediction and Planning: Playing Games with
  Motion Prediction Models

Learning Pneumatic Non-Prehensile Manipulation with a Mobile Blower

ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer

Pyramid Frequency Network with Spatial Attention Residual Refinement
  Module for Monocular Depth Estimation

Learning Speech Emotion Representations in the Quaternion Domain

Hear No Evil: Towards Adversarial Robustness of Automatic Speech
  Recognition via Multi-Task Learning

CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations

CGC: Contrastive Graph Clustering for Community Detection and Tracking

MGDCF: Distance Learning via Markov Graph Diffusion for Neural

Too Big to Fail? Active Few-Shot Learning Guided Logic Synthesis

IFTT-PIN: Demonstrating the Self-Calibration Paradigm on a PIN-Entry
  Task

A lightweight and accurate YOLO-like network for small target detection
  in Aerial Imagery

Incremental Unsupervised Feature Selection for Dynamic Incomplete
  Multi-view Data

Nearly minimax robust estimator of the mean vector by iterative spectral
  dimension reduction

SAFARI: Sparsity enabled Federated Learning with Limited and Unreliable

Learning Generalizable Dexterous Manipulation from Human Grasp
  Affordance

Is it worth the effort? Understanding and contextualizing physical
  metrics in soccer

iSDF: Real-Time Neural Signed Distance Fields for Robot Perception

ZETAR: Modeling and Computational Design of Strategic and Adaptive
  Compliance Policies

SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context
  in Visual Question Answering

Lost in Latent Space: Disentangled Models and the Challenge of
  Combinatorial Generalisation

Design Guidelines for Inclusive Speaker Verification Evaluation Datasets

How Information on Acoustic Scenes and Sound Events Mutually Benefits
  Event Detection and Scene Classification Tasks

Grounding of the Functional Object-Oriented Network in Industrial Tasks

Deep surrogate accelerated delayed-acceptance HMC for Bayesian inference
  of spatio-temporal heat fluxes in rotating disc systems

Repeat after me: Self-supervised learning of acoustic-to-articulatory
  mapping by vocal imitation

Learning to Bid Long-Term: Multi-Agent Reinforcement Learning with
  Long-Term and Sparse Reward in Repeated Auction Games

A Dempster-Shafer approach to trustworthy AI with application to fetal
  brain MRI segmentation

Multi-Agent Distributed Reinforcement Learning for Making Decentralized
  Offloading Decisions

Improving Generalizability in Implicitly Abusive Language Detection with
  Concept Activation Vectors

A Comparison of Deep Learning MOS Predictors for Speech Synthesis
  Quality

Normalizing Flow-based Day-Ahead Wind Power Scenario Generation for
  Profitable and Reliable Delivery Commitments by Wind Farm Operators

A Set Membership Approach to Discovering Feature Relevance and
  Explaining Neural Classifier Decisions

A deep learning framework for the detection and quantification of drusen
  and reticular pseudodrusen on optical coherence tomography

Abstractive summarization of hospitalisation histories with transformer
  networks

Comparative Survey of Multigraph Integration Methods for Holistic Brain
  Connectivity Mapping

AILTTS: Adversarial Learning of Intermediate Acoustic Feature for
  End-to-End Lightweight Text-to-Speech

Multi-task nonparallel support vector machine for classification

Disentangled Speech Representation Learning Based on Factorized
  Hierarchical Variational Autoencoder with Self-Supervised Objective

Zero-shot Blind Image Denoising via Implicit Neural Representations

Joint Learning of Feature Extraction and Cost Aggregation for Semantic

Systematic Unsupervised Recycled Field-Programmable Gate Array Detection

Automatic Image Content Extraction: Operationalizing Machine Learning in
  Humanistic Photographic Studies of Large Visual Archives

Dual-AI: Dual-path Actor Interaction Learning for Group Activity

Overcoming Catastrophic Forgetting in Incremental Object Detection via
  Elastic Response Distillation

SemanticCAP: Chromatin Accessibility Prediction Enhanced by Features
  Learning from a Language Model

Hospital-Agnostic Image Representation Learning in Digital Pathology

A Transformer-Based Contrastive Learning Approach for Few-Shot Sign
  Language Recognition

Explainable Deep Learning Algorithm for Distinguishing Incomplete
  Kawasaki Disease by Coronary Artery Lesions on Echocardiographic Imaging

Event-based Navigation for Autonomous Drone Racing with Sparse Gated
  Recurrent Network

Transition Information Enhanced Disentangled Graph Neural Networks for

Comment on "Black Box Prediction Methods in Sports Medicine Deserve a
  Red Card for Reckless Practice: A Change of Tactics is Needed to Advance
  Athlete Care"

GP-BART: a novel Bayesian additive regression trees approach using

What can predictive speech coders learn from speaker recognizers?

Self-supervised learning -- A way to minimize time and effort for
  precision agriculture?

Collective control of modular soft robots via embodied Spiking Neural
  Cellular Automata

Eliminating Primary Beam Effect in Foreground Subtraction of Neutral
  Hydrogen Intensity Mapping Survey with Deep Learning

A machine learning-based framework for high resolution mapping of PM2.5
  in Tehran, Iran, using MAIAC AOD data

P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior

VocaLiST: An Audio-Visual Synchronisation Model for Lips and Voices

A Mixed supervised Learning Framework for Target Sound Detection

Photometric redshift-aided classification using ensemble learning

Semi-supervised Semantic Segmentation with Error Localization Network

Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious
  Attribute Estimation

HyperBox: A Supervised Approach for Hypernym Discovery using Box

Less is More: A Call to Focus on Simpler Models in Genetic Programming
  for Interpretable Machine Learning

An active approach towards monitoring and enhancing drivers'
  capabilities -- the ADAM cogtec solution

Mixing Signals: Data Augmentation Approach for Deep Learning Based
  Modulation Recognition

$\textit{latent}$-GLAT: Glancing at Latent Variables for Parallel Text

Sliced gradient-enhanced Kriging for high-dimensional function

A Generative Deep Learning Approach to Stochastic Downscaling of
  Precipitation Forecasts

A Survey on Dropout Methods and Experimental Verification in

LatentGAN Autoencoder: Learning Disentangled Latent Distribution

Learning Video Salient Object Detection Progressively from Unlabeled
  Videos

On the Computational Consequences of Cost Function Design in Nonlinear
  Optimal Control

Unsupervised Data Selection via Discrete Speech Representation for ASR

Multi-Weight Respecification of Scan-specific Learning for Parallel
  Imaging

Audio-visual multi-channel speech separation, dereverberation and

Streaming Approximation Scheme for Minimizing Total Completion Time on
  Parallel Machines Subject to Varying Processing Capacity

GAIL-PT: A Generic Intelligent Penetration Testing Framework with
  Generative Adversarial Imitation Learning

Non-Local Latent Relation Distillation for Self-Adaptive 3D Human Pose

Time Efficient Joint UAV-BS Deployment and User Association based on

FaceSigns: Semi-Fragile Neural Watermarks for Media Authentication and
  Countering Deepfakes

Radio Transient Detection with Closure Products and Machine Learning

Towards On-Board Panoptic Segmentation of Multispectral Satellite Images

Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G
  Networks: Research Directions for Security and Optimal Control

Attention Distraction: Watermark Removal Through Continual Learning with
  Selective Forgetting

Online No-regret Model-Based Meta RL for Personalized Navigation

SHAIL: Safety-Aware Hierarchical Adversarial Imitation Learning for
  Autonomous Driving in Urban Environments

Domain-Aware Contrastive Knowledge Transfer for Multi-domain Imbalanced
  Data

An Exploration of Active Learning for Affective Digital Phenotyping

Learning to Adapt to Domain Shifts with Few-shot Samples in Anomalous
  Sound Detection

MonoTrack: Shuttle trajectory reconstruction from monocular badminton
  video

A pipeline and comparative study of 12 machine learning models for text

ConceptExplainer: Interactive Explanation for Deep Neural Networks from
  a Concept Perspective

A Data-Driven Framework for Identifying Investment Opportunities in
  Private Equity

Quantum Machine Learning for Software Supply Chain Attacks: How Far Can
  We Go?

Dual Quaternion Ambisonics Array for Six-Degree-of-Freedom Acoustic

Lifelong Self-Adaptation: Self-Adaptation Meets Lifelong Machine
  Learning

Product Market Demand Analysis Using NLP in Banglish Text with Sentiment
  Analysis and Named Entity Recognition

Tensor Completion with Provable Consistency and Fairness Guarantees for

Towards Infield Navigation: leveraging simulated data for crop row
  detection

Using Elo Rating as a Metric for Comparative Judgement in Educational

Efficient machine-learning model for fast assessment of elastic
  properties of high-entropy alloys

Model-free Learning for Risk-constrained Linear Quadratic Regulator with
  Structured Feedback in Networked Systems

Deep learning for the rare-event rational design of 3D printed
  multi-material mechanical metamaterials

Experimental quantum adversarial learning with programmable
  superconducting qubits

Joint Hand Motion and Interaction Hotspots Prediction from Egocentric
  Videos

"This is my unicorn, Fluffy": Personalizing frozen vision-language

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Deep Image: A precious image based deep learning method for online
  malware detection in IoT Environment

Using Explainable Boosting Machine to Compare Idiographic and Nomothetic
  Approaches for Ecological Momentary Assessment Data

Deep Feature Screening: Feature Selection for Ultra High-Dimensional
  Data via Deep Neural Networks

End-to-end multi-particle reconstruction in high occupancy imaging
  calorimeters with graph neural networks

Self-Supervised Speech Representations Preserve Speech Characteristics
  while Anonymizing Voices

Feature robustness and sex differences in medical imaging: a case study
  in MRI-based Alzheimer's disease detection

Exemplar-based Pattern Synthesis with Implicit Periodic Field Network

A Novel Capsule Neural Network Based Model for Drowsiness Detection
  Using Electroencephalography Signals

Tracking Urbanization in Developing Regions with Remote Sensing
  Spatial-Temporal Super-Resolution

On Convergence Lemma and Convergence Stability for Piecewise Analytic
  Functions

Do Deep Neural Networks Contribute to Multivariate Time Series Anomaly
  Detection?

Highly efficient reliability analysis of anisotropic heterogeneous
  slopes: Machine Learning aided Monte Carlo method

Slope stability predictions on spatially variable random fields using
  machine learning surrogate models

More Efficient Identifiability Verification in ODE Models by Reducing
  Non-Identifiability

Towards Deep Industrial Transfer Learning: Clustering for Transfer Case
  Selection

Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph
  Neural Networks for Traffic Forecasting

MetaAID: A Flexible Framework for Developing Metaverse Applications via
  AI Technology and Human Editing

SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits
  of One-shot Graph Generators

Neural Estimation of the Rate-Distortion Function With Applications to
  Operational Source Coding

Towards Privacy-Preserving and Verifiable Federated Matrix Factorization

DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic

Optimising Energy Efficiency in UAV-Assisted Networks using Deep

Robust Stuttering Detection via Multi-task and Adversarial Learning

A Machine Learning and Computer Vision Approach to Geomagnetic Storm

FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation

Object Level Depth Reconstruction for Category Level 6D Object Pose
  Estimation From Monocular RGB Image

On the Universality of Langevin Diffusion for Private Euclidean (Convex)

HiT-DVAE: Human Motion Generation via Hierarchical Transformer Dynamical
  VAE

Introducing ECAPA-TDNN and Wav2Vec2.0 Embeddings to Stuttering Detection

RobustSense: Defending Adversarial Attack for Secure Device-Free Human

Con$^{2}$DA: Simplifying Semi-supervised Domain Adaptation by Learning
  Consistent and Contrastive Feature Representations

Causality, Causal Discovery, and Causal Inference in Structural
  Engineering

CDKT-FL: Cross-Device Knowledge Transfer using Proxy Dataset in

PARC: Physics-Aware Recurrent Convolutional Neural Networks to
  Assimilate Meso-scale Reactive Mechanics of Energetic Materials

Transient motion classification through turbid volumes via parallelized
  single-photon detection and deep contrastive embedding

The Group Loss++: A deeper look into group loss for deep metric learning

Adaptive Network Combination for Single-Image Reflection Removal: A
  Domain Generalization Perspective

An Inverse Optimal Control Approach for Trajectory Prediction of
  Autonomous Race Cars

A high-order tensor completion algorithm based on Fully-Connected Tensor
  Network weighted optimization

Information-Theoretic Policy Learning from Partial Observations with
  Fully Informed Decision Makers

Effects of Dynamical Decoupling and Pulse-level Optimizations on IBM
  Quantum Computers

SHiFT: An Efficient, Flexible Search Engine for Transfer Learning

Atomistic Global Optimization X: A Python package for optimization of
  atomistic structures

Learning Commonsense-aware Moment-Text Alignment for Fast Video Temporal
  Grounding

WildNet: Learning Domain Generalized Semantic Segmentation from the Wild

Challenges and Opportunities of Edge AI for Next-Generation Implantable
  BMIs

Disentangling Abstraction from Statistical Pattern Matching in Human and

SAM-kNN Regressor for Online Learning in Water Distribution Networks

Continuously Discovering Novel Strategies via Reward-Switching Policy

Gan-Based Joint Activity Detection and Channel Estimation For Grant-free
  Random Access

Degradation-agnostic Correspondence from Resolution-asymmetric Stereo

Computer-Aided Extraction of Select MRI Markers of Cerebral Small Vessel
  Disease: A Systematic Review

Leveraging triplet loss and nonlinear dimensionality reduction for
  on-the-fly channel charting

Safe Controller for Output Feedback Linear Systems using Model-Based

Construction of Machine-Learning Interatomic Potential Under Heat Flux
  Regularization and Its Application to Power Spectrum Analysis for Silver
  Chalcogenides

The Vicomtech Spoofing-Aware Biometric System for the SASV Challenge

Automated Machine Learning for Deep Recommender Systems: A Survey

Anti-Spoofing Using Transfer Learning with Variational Information

Aligned Weight Regularizers for Pruning Pretrained Neural Networks

On the Global Convergence of Stochastic Fictitious Play in Stochastic
  Games with Turn-based Controllers

Taking ROCKET on an Efficiency Mission: Multivariate Time Series
  Classification with LightWaveS

Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer

Training Fully Connected Neural Networks is $\exists\mathbb{R}$-Complete

Learning to solve Minimum Cost Multicuts efficiently using Edge-Weighted
  Graph Convolutional Neural Networks

Test Against High-Dimensional Uncertainties: Accelerated Evaluation of
  Autonomous Vehicles with Deep Importance Sampling

Learning the Proximity Operator in Unfolded ADMM for Phase Retrieval

Target Confusion in End-to-end Speaker Extraction: Analysis and

MGRR-Net: Multi-level Graph Relational Reasoning Network for Facial
  Action Units Detection

Concurrent learning in high-order tuners for parameter identification

Analyzing the Effects of Handling Data Imbalance on Learned Features
  from Medical Images by Looking Into the Models

MOSRA: Joint Mean Opinion Score and Room Acoustics Speech Quality

Interpretable Saliency Maps And Self-Supervised Learning For Generalized
  Zero Shot Medical Image Classification

Efficient, Uncertainty-based Moderation of Neural Networks Text

Algorithms for Bayesian network modeling and reliability inference of
  complex multistate systems: Part II-Dependent systems

PRADA: Practical Black-Box Adversarial Attacks against Neural Ranking
  Models

RayMVSNet: Learning Ray-based 1D Implicit Fields for Accurate Multi-View
  Stereo

GraFN: Semi-Supervised Node Classification on Graph with Few Labels via
  Non-Parametric Distribution Assignment

Learning Constrained Dynamic Correlations in Spatiotemporal Graphs for
  Motion Prediction

Spatio-Temporal Analysis of Transformer based Architecture for Attention
  Estimation from EEG

Explainable Online Lane Change Predictions on a Digital Twin with a
  Layer Normalized LSTM and Layer-wise Relevance Propagation

Implementation of AI/Deep Learning Disruption Predictor into a Plasma

Empirical Analysis of Lifelog Data using Optimal Feature Selection based
  Unsupervised Logistic Regression (OFS-ULR) Model with Spark Streaming

SPFNet:Subspace Pyramid Fusion Network for Semantic Segmentation

FedSynth: Gradient Compression via Synthetic Data in Federated Learning

Distinguishing Homophenes Using Multi-Head Visual-Audio Memory for Lip
  Reading

CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender
  System

Multi-modality Associative Bridging through Memory: Speech Sound
  Recollected from Face Video

FT-EALU: Fault Tolerant Arithmetic and Logic Unit for Critical Embedded
  and Real time Systems

Monte Carlo Physarum Machine: Characteristics of Pattern Formation in
  Continuous Stochastic Transport Networks

BatchFormerV2: Exploring Sample Relationships for Dense Representation
  Learning

An optimized hybrid solution for IoT based lifestyle disease
  classification using stress data

Signal Propagation: A Framework for Learning and Inference In a Forward
  Pass

Diverse Text Generation via Variational Encoder-Decoder Models with
  Gaussian Process Priors

MLPro: A System for Hosting Crowdsourced Machine Learning Challenges for
  Open-Ended Research Problems

Capturing positive network attributes during the estimation of recursive
  logit models: A prism-based approach

Model-Parallel Fourier Neural Operators as Learned Surrogates for
  Large-Scale Parametric PDEs

ScaleSFL: A Sharding Solution for Blockchain-Based Federated Learning

A Novel Mask R-CNN Model to Segment Heterogeneous Brain Tumors through
  Image Subtraction

Detecting In-vehicle Intrusion via Semi-supervised Learning-based
  Convolutional Adversarial Autoencoders

Revisiting Sliced Wasserstein on Images: From Vectorization to
  Convolution

Revisiting a kNN-based Image Classification System with High-capacity
  Storage

Cluster Structures with Machine Learning Support in Neutron Star M-R
  relations

PERFECT: Prompt-free and Efficient Few-shot Learning with Language
  Models

Why Exposure Bias Matters: An Imitation Learning Perspective of Error
  Accumulation in Language Generation

Seemo: A new tool for early design window view satisfaction evaluation
  in residential buildings

Best-Response Bayesian Reinforcement Learning with Bayes-adaptive POMDPs
  for Centaurs

Shape-Pose Disentanglement using SE(3)-equivariant Vector Neurons

Intelligent Reflective Surface Deployment in 6G: A Comprehensive Survey

Proactive Anomaly Detection for Robot Navigation with Multi-Sensor
  Fusion

Proceedings of TDA: Applications of Topological Data Analysis to Data
  Science, Artificial Intelligence, and Machine Learning Workshop at SDM 2022

A System for Interactive Examination of Learned Security Policies

Learning-Augmented Mechanism Design: Leveraging Predictions for Facility
  Location

Fitting an immersed submanifold to data via Sussmann's orbit theorem

Learning-Based Safe Motion Control of Vehicle Ski-Stunt Maneuvers

Adversarially robust segmentation models learn perceptually-aligned
  gradients

A sequence-to-sequence approach for document-level relation extraction

pmuBAGE: The Benchmarking Assortment of Generated PMU Data for Power
  System Events -- Part I: Overview and Results

VRKG4Rec: Virtual Relational Knowledge Graphs for Recommendation

Meta-Learning Approaches for a One-Shot Collective-Decision Aggregation:
  Correctly Choosing how to Choose Correctly

Modelling and Control of Production Systems based on Observed
  Inter-event Times: An Analytical and Empirical Investigation (Ph.D. Thesis)

Data Cards: Purposeful and Transparent Dataset Documentation for
  Responsible AI

Learning Linear Representations of Nonlinear Dynamics Using Deep
  Learning

Task2Dial: A Novel Task and Dataset for Commonsense enhanced Task-based
  Dialogue Grounded in Documents

Correlation Functions in Random Fully Connected Neural Networks at
  Finite Width

Semi-Data-Aided Channel Estimation for MIMO Systems via Reinforcement
  Learning

A Differentially Private Framework for Deep Learning with Convexified
  Loss Functions

Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin
  Lesion Detection in Highly Imbalanced Datasets

Distortion-Aware Self-Supervised 360° Depth Estimation from A
  Single Equirectangular Projection Image

Autonomous Highway Merging in Mixed Traffic Using Reinforcement Learning
  and Motion Predictive Safety Controller

Gastrointestinal Polyps and Tumors Detection Based on Multi-scale
  Feature-fusion with WCE Sequences

Learning High-DOF Reaching-and-Grasping via Dynamic Representation of
  Gripper-Object Interaction

A Computational Analysis of Pitch Drift in Unaccompanied Solo Singing
  using DBSCAN Clustering

Bi-fidelity Modeling of Uncertain and Partially Unknown Systems using
  DeepONets

Learning Disentangled Semantic Representations for Zero-Shot
  Cross-Lingual Transfer in Multilingual Machine Reading Comprehension

BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation

Deep Speech Based End-to-End Automated Speech Recognition (ASR) for
  Indian-English Accents

FedGBF: An efficient vertical federated learning framework via gradient
  boosting and bagging

Neural Global Shutter: Learn to Restore Video from a Rolling Shutter
  Camera with Global Reset Feature

Kernel Extreme Learning Machine Optimized by the Sparrow Search
  Algorithm for Hyperspectral Image Classification

A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start

BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed
  Cluster

Improving Personalised Physical Activity Recommendation on the mHealth
  Information Service Using Deep Reinforcement Learning

Histogram of Oriented Gradients Meet Deep Learning: A Novel Multi-task
  Deep Network for Medical Image Semantic Segmentation

Long-tailed Extreme Multi-label Text Classification with Generated
  Pseudo Label Descriptions

Model-Free and Model-Based Policy Evaluation when Causality is Uncertain

A Sentinel-2 multi-year, multi-country benchmark dataset for crop
  classification and segmentation with deep learning

Risk-Aware Control and Optimization for High-Renewable Power Grids

Efficient Convolutional Neural Networks on Raspberry Pi for Image

Time-lapse data matching using a recurrent neural network approach

Exploiting Local and Global Features in Transformer-based Extreme
  Multi-label Text Classification

Automatic Transformation of Natural to Unified Modeling Language: A
  Systematic Review

Beyond Smoothness: Incorporating Low-Rank Analysis into Nonparametric
  Density Estimation

SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single
  Image

A UCB-based Tree Search Approach to Joint Verification-Correction
  Strategy for Large Scale Systems

Single Image Internal Distribution Measurement Using Non-Local

Deep Algebraic Fitting for Multiple Circle Primitives Extraction from
  Raw Point Clouds

BERT-Assisted Semantic Annotation Correction for Emotion-Related
  Questions

Artificial Intelligence for 6G Networks: Technology Advancement and
  Standardization

Transfinite Modal Logic: a Semi-quantitative Explanation for Bayesian
  Reasoning

Escaping High-order Saddles in Policy Optimization for Linear Quadratic
  Gaussian (LQG) Control

Mix-up Self-Supervised Learning for Contrast-agnostic Applications

Class-Incremental Learning by Knowledge Distillation with Adaptive
  Feature Consolidation

Hybrid Transfer in Deep Reinforcement Learning for Ads Allocation

A Free Lunch to Person Re-identification: Learning from Automatically
  Generated Noisy Tracklets

Learning List-wise Representation in Reinforcement Learning for Ads
  Allocation with Multiple Auxiliary Tasks

Dimensionless machine learning: Imposing exact units equivariance

A general mathematical framework for constrained mixed-variable blackbox
  optimization problems with meta and categorical variables

Inverse is Better! Fast and Accurate Prompt for Few-shot Slot Tagging

Accurate Online Posterior Alignments for Principled
  Lexically-Constrained Decoding

A Differential Evolution-Enhanced Latent Factor Analysis Model for
  High-dimensional and Sparse Data

Adversarial Neon Beam: Robust Physical-World Adversarial Attack to DNNs

Production of Categorical Data Verifying Differential Privacy:
  Conception and Applications to Machine Learning

Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural
  Networks

Cancer Subtyping via Embedded Unsupervised Learning on Transcriptomics
  Data

Privacy-preserving Anomaly Detection in Cloud Manufacturing via
  Federated Transformer

Adaptive Spike-Like Representation of EEG Signals for Sleep Stages
  Scoring

AdaSmooth: An Adaptive Learning Rate Method based on Effective Ratio

MRI-based Multi-task Decoupling Learning for Alzheimer's Disease
  Detection and MMSE Score Prediction: A Multi-site Validation

Leveraging Phone Mask Training for Phonetic-Reduction-Robust E2E Uyghur

Unbiased Top-k Learning to Rank with Causal Likelihood Decomposition

A Dual-Contrastive Framework for Low-Resource Cross-Lingual Named Entity

IR-GAN: Image Manipulation with Linguistic Instruction by Increment
  Reasoning

CL-XABSA: Contrastive Learning for Cross-lingual Aspect-based Sentiment
  Analysis

SAD: A Large-scale Dataset towards Airport Detection in Synthetic
  Aperture Radar Images

Supervised Robustness-preserving Data-free Neural Network Pruning

Revealing the CO2 emission reduction of ridesplitting and its
  determinants based on real-world data

Towards Power-Efficient Design of Myoelectric Controller based on
  Evolutionary Computation

Fast Real-time Personalized Speech Enhancement: End-to-End Enhancement
  Network (E3Net) and Knowledge Distillation

Variational message passing for online polynomial NARMAX identification

Ad Creative Discontinuation Prediction with Multi-Modal Multi-Task
  Neural Survival Networks

Safe Reinforcement Learning via Shielding under Partial Observability

Modeling Dynamic User Preference via Dictionary Learning for Sequential

Path Development Network with Finite-dimensional Lie Group

Genetic programming-based learning of carbon interatomic potential for
  materials discovery

SkeleVision: Towards Adversarial Resiliency of Person Tracking with
  Multi-Task Learning

Particle Swarm Optimization Based Demand Response Using Artificial
  Neural Network Based Load Prediction

Analysis of Sparse Subspace Clustering: Experiments and Random

Identifying Exoplanets with Machine Learning Methods: A Preliminary
  Study

Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and
  Methodologies from CNN, GAN to Attention and Transformers

Efficient Argument Structure Extraction with Transfer Learning and
  Active Learning

Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk

A Reinforcement Learning Approach to Sensing Design in
  Resource-Constrained Wireless Networked Control Systems

Learnable latent embeddings for joint behavioral and neural analysis

Raman Signal Extraction from CARS Spectra Using a Learned-Matrix
  Representation of the Discrete Hilbert Transform

CipherDAug: Ciphertext based Data Augmentation for Neural Machine

Hysteresis-Based RL: Robustifying Reinforcement Learning-based Control
  Policies via Hybrid Control

Double-Hashing Algorithm for Frequency Estimation in Data Streams

Knowledge distillation with error-correcting transfer learning for wind
  power prediction

Cluster-based ensemble learning for wind power modeling with
  meteorological wind data

Personalized Prediction of Future Lesion Activity and Treatment Effect
  in Multiple Sclerosis from Baseline MRI

SIMBAR: Single Image-Based Scene Relighting For Effective Data
  Augmentation For Automated Driving Vision Tasks

QuadraLib: A Performant Quadratic Neural Network Library for
  Architecture Optimization and Design Exploration

Optimising Communication Overhead in Federated Learning Using NSGA-II

Application of Dimensional Reduction in Artificial Neural Networks to
  Improve Emergency Department Triage During Chemical Mass Casualty Incidents

The Andromeda Gamma-Ray Excess: Background Systematics of the
  Millisecond Pulsars and Dark Matter Interpretations

Simplicial Embeddings in Self-Supervised Learning and Downstream

PARNN: A Probabilistic Autoregressive Neural Network Framework for
  Accurate Forecasting

On the Importance of Asymmetry for Siamese Representation Learning

Learning the conditional law: signatures and conditional GANs in
  filtering and prediction of diffusion processes

Iterative location modeling of hand sanitizer deployment based upon
  qualitative interviews

Perceval: A Software Platform for Discrete Variable Photonic Quantum
  Computing

Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language

UNetFormer: A Unified Vision Transformer Model and Pre-Training
  Framework for 3D Medical Image Segmentation

Monarch: Expressive Structured Matrices for Efficient and Accurate
  Training

Towards a Perron-Frobenius Theorem for Strongly Aperiodic Stochastic
  Chains

Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised

What makes useful auxiliary tasks in reinforcement learning:
  investigating the effect of the target policy

DFNet: Enhance Absolute Pose Regression with Direct Feature Matching

Nowruz at SemEval-2022 Task 7: Tackling Cloze Tests with Transformers
  and Ordinal Regression

A Novel Multimodal Approach for Studying the Dynamics of Curiosity in
  Small Group Learning

Extremely Low-light Image Enhancement with Scene Text Restoration

FairRank: Fairness-aware Single-tower Ranking Framework for News

End-to-End Integration of Speech Recognition, Speech Enhancement, and
  Self-Supervised Learning Representation

Hierarchical model reduction driven by machine learning for parametric
  advection-diffusion-reaction problems in the presence of noisy data

Semi-FairVAE: Semi-supervised Fair Representation Learning with
  Adversarial Variational Autoencoder

Leveraging Privacy Profiles to Empower Users in the Digital Society

Estimating the Jacobian matrix of an unknown multivariate function from
  sample values by means of a neural network

Learning Disentangled Representations of Negation and Uncertainty

Mining contrast sets in classification, regression, and survival data by
  fusing separate and conquer models

Physics Informed Shallow Machine Learning for Wind Speed Prediction

A Global Modeling Approach for Load Forecasting in Distribution Networks

Provable concept learning for interpretable predictions using
  variational autoencoders

Robust and Accurate -- Compositional Architectures for Randomized
  Smoothing

Proper Reuse of Image Classification Features Improves Object Detection

Simulator-based explanation and debugging of hazard-triggering events in
  DNN-based safety-critical systems

Autonomous crater detection on asteroids using a fully-convolutional

Uncertainty Determines the Adequacy of the Mode and the Tractability of
  Decoding in Sequence-to-Sequence Models

Deep Neural Convolutive Matrix Factorization for Articulatory
  Representation Decomposition

Zero-Shot Cross-lingual Aphasia Detection using Automatic Speech

Human Evaluation and Correlation with Automatic Metrics in Consultation
  Note Generation

Teaching scenarios and their role in the interdisciplinary approach.
  Case study: The Minkowskian Metric

Towards a machine-readable literature: finding relevant papers based on
  an uploaded powder diffraction pattern

Comparison of convolutional neural networks for cloudy optical images
  reconstruction from single or multitemporal joint SAR and optical images

Transformers for 1D Signals in Parkinson's Disease Detection from Gait

Oil reservoir recovery factor assessment using Bayesian networks based
  on advanced approaches to analogues clustering

A Semismooth Newton Stochastic Proximal Point Algorithm with Variance
  Reduction

Probing Speech Emotion Recognition Transformers for Linguistic Knowledge

Automatic Biomedical Term Clustering by Learning Fine-grained Term

DAG-WGAN: Causal Structure Learning With Wasserstein Generative

Autoencoder for Synthetic to Real Generalization: From Simple to More
  Complex Scenes

Weakly Supervised Regional and Temporal Learning for Facial Action Unit

Deep Page-Level Interest Network in Reinforcement Learning for Ads

Learning to Deblur using Light Field Generated and Real Defocus Images

Extracting Rules from Neural Networks with Partial Interpretations

RMS-FlowNet: Efficient and Robust Multi-Scale Scene Flow Estimation for
  Large-Scale Point Clouds

On the Efficiency of Integrating Self-supervised Learning and
  Meta-learning for User-defined Few-shot Keyword Spotting

WavFT: Acoustic model finetuning with labelled and unlabelled data

A Comparative Study of Machine Learning Methods for X-ray Binary

Cyberbullying detection across social media platforms via platform-aware
  adversarial encoding

Diverse Preference Augmentation with Multiple Domains for Cold-start

Feature Structure Distillation with Centered Kernel Alignment in BERT
  Transferring

CAT-Det: Contrastively Augmented Transformer for Multi-modal 3D Object
  Detection

Graph-in-Graph (GiG): Learning interpretable latent graphs in
  non-Euclidean domain for biological and healthcare applications

Unimodal-Concentrated Loss: Fully Adaptive Label Distribution Learning
  for Ordinal Regression

Model-agnostic Counterfactual Synthesis Policy for Interactive

Interpretable RNA Foundation Model from Unannotated Data for Highly
  Accurate RNA Structure and Function Predictions

Scalable Semi-Modular Inference with Variational Meta-Posteriors

GrowliFlower: An image time series dataset for GROWth analysis of
  cauLIFLOWER

Text-To-Speech Data Augmentation for Low Resource Speech Recognition

Predicting Intervention Approval in Clinical Trials through
  Multi-Document Summarization

Selecting task with optimal transport self-supervised learning for
  few-shot classification

i-Razor: A Neural Input Razor for Feature Selection and Dimension Search
  in Large-Scale Recommender Systems

Studying the Impact of Data Disclosure Mechanism in Recommender Systems
  via Simulation

Ising machines as hardware solvers of combinatorial optimization
  problems

Fusing Interpretable Knowledge of Neural Network Learning Agents For
  Swarm-Guidance

Rethinking Position Bias Modeling with Knowledge Distillation for CTR

Multifaceted Improvements for Conversational Open-Domain Question
  Answering

Concept Drift Adaptation for CTR Prediction in Online Advertising
  Systems

Machine Learning and Artificial Intelligence in Circular Economy: A
  Bibliometric Analysis and Systematic Literature Review

Physical Deep Learning with Biologically Plausible Training Method

Federated Learning Framework Coping with Hierarchical Heterogeneity in
  Cooperative ITS

FedRecAttack: Model Poisoning Attack to Federated Recommendation

A Physics-Guided Neural Operator Learning Approach to Model Biological
  Tissues from Digital Image Correlation Measurements

LoCoV: low dimension covariance voting algorithm for portfolio

Graph Enhanced Contrastive Learning for Radiology Findings Summarization

Deep Q-learning of global optimizer of multiply model parameters for
  viscoelastic imaging

Comparative Analysis of Interval Reachability for Robust Implicit and
  Feedforward Neural Networks

Distill-VQ: Learning Retrieval Oriented Vector Quantization By
  Distilling Knowledge from Dense Embeddings

Making Pre-trained Language Models End-to-end Few-shot Learners with
  Contrastive Prompt Tuning

Filter-based Discriminative Autoencoders for Children Speech Recognition

Secure and Ultra-Reliable Provenance Recovery in Sparse Networks:
  Strategies and Performance Bounds

An End-to-end Supervised Domain Adaptation Framework for Cross-Domain
  Change Detection

An Ising machine based on networks of subharmonic electrical resonators

DBCal: Density Based Calibration of classifier predictions for
  uncertainty quantification

Explainable and Interpretable Diabetic Retinopathy Classification Based
  on Neural-Symbolic Learning

Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth
  Boxes

Effect of Balancing Data Using Synthetic Data on the Performance of
  Machine Learning Classifiers for Intrusion Detection in Computer Networks

Machine Learning Integrated with Model Predictive Control for Imitative
  Optimal Control of Compression Ignition Engines

Deep Learning based Model Predictive Control for Compression Ignition
  Engines

Real-Time and Robust 3D Object Detection Within Road-Side LiDARs Using

VFDS: Variational Foresight Dynamic Selection in Bayesian Neural
  Networks for Efficient Human Activity Recognition

GALA: Toward Geometry-and-Lighting-Aware Object Search for Compositing

An MPSoC-based on-line Edge Infrastructure for Embedded Neuromorphic
  Robotic Controllers

Visual-Tactile Multimodality for Following Deformable Linear Objects
  Using Reinforcement Learning

Distributed Stochastic Nash Equilibrium Learning in Locally Coupled
  Network Games with Unknown Parameters

Tooth Instance Segmentation on Panoramic Dental Radiographs Using U-Nets
  and Morphological Processing

Machine learning for a finite size correction in periodic coupled
  cluster theory calculations

Atomic-scale origin of the low grain-boundary resistance in perovskite
  solid electrolytes

Bayesian Image Super-Resolution with Deep Modeling of Image Statistics

Deep Learning for Spectral Filling in Radio Frequency Applications

Automatic Classification of Alzheimer's Disease using brain MRI data and
  deep Convolutional Neural Networks

rfPhen2Gen: A machine learning based association study of brain imaging
  phenotypes to genotypes

Data-augmented cross-lingual synthesis in a teacher-student framework

Lyapunov based Stochastic Stability of Human-Machine Interaction: A
  Quantum Decision System Approach

Digitizing Historical Balance Sheet Data: A Practitioner's Guide

AKF-SR: Adaptive Kalman Filtering-based Successor Representation

A Statistical Decision-Theoretical Perspective on the Two-Stage Approach
  to Parameter Estimation

Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets

Evaluating the feasibility of interpretable machine learning for
  globular cluster detection

DiffSkill: Skill Abstraction from Differentiable Physics for Deformable
  Object Manipulations with Tools

BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera
  Images via Spatiotemporal Transformers

TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable
  Facial Editing

Audio-Visual Speech Codecs: Rethinking Audio-Visual Speech Enhancement
  by Re-Synthesis

R2L: Distilling Neural Radiance Field to Neural Light Field for
  Efficient Novel View Synthesis

Generating High Fidelity Data from Low-density Regions using Diffusion
  Models

Cite-seeing and Reviewing: A Study on Citation Bias in Peer Review

Templates for 3D Object Pose Estimation Revisited: Generalization to New
  Objects and Robustness to Occlusions

Improved Relation Networks for End-to-End Speaker Verification and

Adversarial Examples in Random Neural Networks with General Activations

Leverage Your Local and Global Representations: A New Self-Supervised
  Learning Strategy

The collider landscape: which collider for establishing the SM
  instability?

CatIss: An Intelligent Tool for Categorizing Issues Reports using

Mixed-Phoneme BERT: Improving BERT with Mixed Phoneme and Sup-Phoneme
  Representations for Text to Speech

Scaling Up Models and Data with $\texttt{t5x}$ and $\texttt{seqio}$

Recovering models of open quantum systems from data via polynomial
  optimization: Towards globally convergent quantum system identification

Predicting extreme events from data using deep machine learning: when
  and where

An energy-based deep splitting method for the nonlinear filtering
  problem

Perceptual Contrast Stretching on Target Feature for Speech Enhancement

Imitate and Repurpose: Learning Reusable Robot Movement Skills From
  Human and Animal Behaviors

Doubly-Robust Estimation for Correcting Position-Bias in Click Feedback
  for Unbiased Learning to Rank

Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired
  Speech Data

Impact of Environmental Noise on Alzheimer's Disease Detection from
  Speech: Should You Let a Baby Cry?

A Cooperative Optimal Control Framework for Connected and Automated
  Vehicles in Mixed Traffic Using Social Value Orientation

$k$NN-NER: Named Entity Recognition with Nearest Neighbor Search

The Three Little Pigs and the Big Bad Wolf: Case Studies of Peer Review

Quantum-Aided Meta-Learning for Bayesian Binary Neural Networks via Born
  Machines

RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis

Scientific and Technological Text Knowledge Extraction Method of based
  on Word Mixing and GRU

Traffic4cast at NeurIPS 2021 -- Temporal and Spatial Few-Shot Transfer
  Learning in Gridded Geo-Spatial Processes

CADG: A Model Based on Cross Attention for Domain Generalization

Cross-modal Learning of Graph Representations using Radar Point Cloud
  for Long-Range Gesture Recognition

Wind Farm Layout Optimisation using Set Based Multi-objective Bayesian

Plug-and-Play Methods for Integrating Physical and Learned Models in
  Computational Imaging

Certified machine learning: A posteriori error estimation for

BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection

Separation of track- and shower-like energy deposits in ProtoDUNE-SP
  using a convolutional neural network

Towards automated design of corrosion resistant alloy coatings with an
  autonomous scanning droplet cell

Efficient Dropout-resilient Aggregation for Privacy-preserving Machine
  Learning

An optimization model with stochastic variables for flexible production
  logistics planning

Adversarial Speaker Distillation for Countermeasure Model on Automatic
  Speaker Verification

Improving Adversarial Transferability via Neuron Attribution-Based
  Attacks

Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks

Differentially Private Federated Learning via Reconfigurable Intelligent
  Surface

CTA-RNN: Channel and Temporal-wise Attention RNN Leveraging Pre-trained
  ASR Embeddings for Speech Emotion Recognition

A Temporal Learning Approach to Inpainting Endoscopic Specularities and
  Its effect on Image Correspondence

It's All In the Teacher: Zero-Shot Quantization Brought Closer to the
  Teacher

Speech Enhancement with Score-Based Generative Models in the Complex
  STFT Domain

SingAug: Data Augmentation for Singing Voice Synthesis with
  Cycle-consistent Training Strategy

Measuring hand use in the home after cervical spinal cord injury using
  egocentric video

Acoustic-Net: A Novel Neural Network for Sound Localization and

On design of hybrid diffractive optics for achromatic extended
  depth-of-field (EDoF) RGB imaging

Self-distillation Augmented Masked Autoencoders for Histopathological

Analyzing the factors affecting usefulness of Self-Supervised
  Pre-trained Representations for Speech Recognition

Optimize Deep Learning Models for Prediction of Gene Mutations Using
  Unsupervised Clustering

Human Instance Segmentation and Tracking via Data Association and
  Single-stage Detector

PADA: Pruning Assisted Domain Adaptation for Self-Supervised Speech

Multimodal Fusion Transformer for Remote Sensing Image Classification

Generative Pre-Trained Transformers for Biologically Inspired Design

Semantic Pose Verification for Outdoor Visual Localization with
  Self-supervised Contrastive Learning

A data-driven approach for the closure of RANS models by the divergence
  of the Reynolds Stress Tensor

Sequential Recommendation with User Evolving Preference Decomposition

Direction of Arrival Estimation of Sound Sources Using Icosahedral CNNs

Hypergraph Convolutional Networks via Equivalency between Hypergraphs
  and Undirected Graphs

Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive
  Benchmark Analysis and Beyond

WavThruVec: Latent speech representation as intermediate features for
  neural speech synthesis

Applying PBL in the Development and Modeling of kinematics for Robotic
  Manipulators with Interdisciplinarity between Computer-Assisted Project,
  Robotics, and Microcontrollers

Domain Adaptation for Sparse-Data Settings: What Do We Gain by Not Using
  Bert?

Development of a robotic manipulator: Applying interdisciplinarity in
  Computer Assister Project, Microcontrollers and Industrial Robotics

Aplicação de ros como ferramenta de ensino a robótica / using
  ros as a robotics teaching tool

Assessing the risk of re-identification arising from an attack on
  anonymised data

Desenvolvimento de ferramenta de simulação para auxílio no
  ensino da disciplina de robótica industrial

MBORE: Multi-objective Bayesian Optimisation by Density-Ratio Estimation

End-to-End Trajectory Distribution Prediction Based on Occupancy Grid
  Maps

Multi-Granularity Alignment Domain Adaptation for Object Detection

CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow

Leveraging pre-trained language models for conversational information
  seeking from text

A survey of neural models for the automatic analysis of conversation:
  Towards a better integration of the social sciences

Coverage hole detection in WSN with force-directed algorithm and
  transfer learning

Mutual information estimation for graph convolutional neural networks

A Contextual Framework for Adaptive User Interfaces: Modelling the
  Interaction Environment

MPS-NeRF: Generalizable 3D Human Rendering from Multiview Images

An Optimal Control Method to Compute the Most Likely Transition Path for
  Stochastic Dynamical Systems with Jumps

Cyberbullying Indicator as a Precursor to a Cyber Construct Development

Data Sampling Affects the Complexity of Online SGD over Dependent Data

Cross-Domain Recommendation to Cold-Start Users via Variational

Identifying Cost-effective Debunkers for Multi-stage Fake News
  Mitigation Campaigns

JETS: Jointly Training FastSpeech2 and HiFi-GAN for End to End Text to
  Speech

NeuFA: Neural Network Based End-to-End Forced Alignment with
  Bidirectional Attention Mechanism

Point Scene Understanding via Disentangled Instance Mesh Reconstruction

How Does Pre-trained Wav2Vec 2.0 Perform on Domain Shifted ASR? An
  Extensive Benchmark on Air Traffic Control Communications

Automatic detection of low surface brightness galaxies from SDSS images

Joint Power Allocation and Rate Control for Rate Splitting Multiple
  Access Networks with Covert Communications

Robust Meta-Reinforcement Learning with Curriculum-Based Task Sampling

Fine-grained Temporal Contrastive Learning for Weakly-supervised

When Physics Meets Machine Learning: A Survey of Physics-Informed

Speech Emotion Recognition using Multi-task learning and a multimodal
  dynamic fusion network

TrajGen: Generating Realistic and Diverse Trajectories with Reactive and
  Feasible Agent Behaviors for Autonomous Driving

Maze Learning using a Hyperdimensional Predictive Processing Cognitive

ESGBERT: Language Model to Help with Classification Tasks Related to
  Companies Environmental, Social, and Governance Practices

Reflection and Rotation Symmetry Detection via Equivariant Learning

Video-Text Representation Learning via Differentiable Weak Temporal
  Alignment

Weakly Supervised Patch Label Inference Networks for Efficient Pavement
  Distress Detection and Recognition in the Wild

A Pixel-based Encryption Method for Privacy-Preserving Deep Learning
  Models

ViSTA: Vision and Scene Text Aggregation for Cross-Modal Retrieval

An Empirical Study of Language Model Integration for Transducer based

Bangla hate speech detection on social media using attention-based
  recurrent neural network

SpeechPrompt: An Exploration of Prompt Tuning on Generative Spoken
  Language Model for Speech Processing Tasks

Learning Decoupling Features Through Orthogonality Regularization

An unsupervised cluster-level based method for learning node
  representations of heterogeneous graphs in scientific papers

SpecGrad: Diffusion Probabilistic Model based Neural Vocoder with
  Adaptive Noise Spectral Shaping

1-D CNN based Acoustic Scene Classification via Reducing Layer-wise
  Dimensionality

Improving speaker de-identification with functional data analysis of f0

Graph Convolutional Neural Networks for Physics-Aware Grid Learning

Cancellable Template Design for Privacy-Preserving EEG Biometric
  Authentication Systems

Graph-based Active Learning for Semi-supervised Classification of SAR
  Data

Optimizing Observables with Machine Learning for Better Unfolding

A Large-Scale Comparison of Python Code in Jupyter Notebooks and Scripts

An analytic theory for the dynamics of wide quantum neural networks

Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum
  Circuits

Going Beyond RF: How AI-enabled Multimodal Beamforming will Shape the
  NextG Standard

Robust Disentangled Variational Speech Representation Learning for
  Zero-shot Voice Conversion

Towards Differential Relational Privacy and its use in Question
  Answering

Can second-order perturbation theory accurately predict electron density
  of open-shell molecules? The importance of self-consistency

Machine learning based data-driven discovery of nonlinear phase-field
  dynamics

Quasi-orthogonality and intrinsic dimensions as measures of learning and
  generalisation

Scientometric Review of Artificial Intelligence for Operations &
  Maintenance of Wind Turbines: The Past, Present and Future

Active Learning for Computationally Efficient Distribution of Binary
  Evolution Simulations

Learning the Effect of Registration Hyperparameters with HyperMorph

Knowledge-Spreader: Learning Facial Action Unit Dynamics with Extremely
  Limited Labels

Exploring the hysteresis properties of nanocrystalline permanent magnets
  using deep learning

PIE-Net: Photometric Invariant Edge Guided Network for Intrinsic Image

Escaping Data Scarcity for High-Resolution Heterogeneous Face
  Hallucination

Flexible and Efficient Contextual Bandits with Heterogeneous Treatment
  Effect Oracle

Robust Reputation Independence in Ranking Systems for Multiple Sensitive
  Attributes

Overcoming challenges in leveraging GANs for few-shot data augmentation

Predicting Winners of the Reality TV Dating Show $\textit{The Bachelor}$
  Using Machine Learning Algorithms

Generation of Speaker Representations Using Heterogeneous Training Batch
  Assembly

Data-driven Prediction of Relevant Scenarios for Robust Optimization

FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic
  descriptions, and Conceptual Relations

Hybrid Handcrafted and Learnable Audio Representation for Analysis of
  Speech Under Cognitive and Physical Load

Transformer Language Models without Positional Encodings Still Learn
  Positional Information

Physics-constrained Unsupervised Learning of Partial Differential
  Equations using Meshes

Multi Antenna Radar System for American Sign Language (ASL) Recognition

Federated Learning for the Classification of Tumor Infiltrating
  Lymphocytes

Knowledge-based Entity Prediction for Improved Machine Perception in
  Autonomous Systems

A Fast and Convergent Proximal Algorithm for Regularized Nonconvex and
  Nonsmooth Bi-level Optimization

Joint domain adaptation and speech bandwidth extension using time-domain
  GANs for speaker verification

A Self-Learning Neural Network Approach for RFI Detection and Removal in
  Radio Astronomy

Enhancing Cancer Prediction in Challenging Screen-Detected Incident Lung
  Nodules Using Time-Series Deep Learning

Understanding the role of single-board computers in engineering and
  computer science education: A systematic literature review

Perfectly Perform Machine Learning Task with Imperfect Optical Hardware

Towards Few-shot Entity Recognition in Document Images: A Label-aware
  Sequence-to-Sequence Framework

Accessing inaccessible information via quantum indistinguishability

Spatially Adaptive Online Prediction of Piecewise Regular Functions

Counterfactual Cycle-Consistent Learning for Instruction Following and
  Generation in Vision-Language Navigation

Calibrating constitutive models with full-field data via physics
  informed neural networks

COSMOS: Cross-Modality Unsupervised Domain Adaptation for 3D Medical
  Image Segmentation based on Target-aware Domain Translation and Iterative

The OGLE Collection of Variable Stars. Nearly 66,000 Mira stars in the
  Milky Way

Large-Scale Pre-training for Person Re-identification with Noisy Labels

Learning Instance-Specific Adaptation for Cross-Domain Segmentation

CaDeX: Learning Canonical Deformation Coordinate Space for Dynamic
  Surface Representation via Neural Homeomorphism

CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs

PromptDet: Towards Open-vocabulary Detection using Uncurated Images

An Improved Lightweight YOLOv5 Model Based on Attention Mechanism for
  Face Mask Detection

Fast, Accurate and Memory-Efficient Partial Permutation Synchronization

Lossless Speedup of Autoregressive Translation with Generalized
  Aggressive Decoding

RFNet-4D: Joint Object Reconstruction and Flow Estimation from 4D Point
  Clouds

On Uncertainty, Tempering, and Data Augmentation in Bayesian

ConceptEvo: Interpreting Concept Evolution in Deep Learning Training

Zero Shot Crosslingual Eye-Tracking Data Prediction using Multilingual

Remember to correct the bias when using deep learning for regression!

Can in-home laboratories foster learning, self-efficacy, and motivation
  during the COVID-19 pandemic? -- A case study in two engineering programs

Towards Interpretable Deep Reinforcement Learning Models via Inverse

Perfectly Accurate Membership Inference by a Dishonest Central Server in

Accelerated Performance and Accelerated Learning with Discrete-Time
  High-Order Tuners

Automatic Detection of Expressed Emotion from Five-Minute Speech
  Samples: Challenges and Opportunities

Low-complexity Near-optimum Symbol Detection Based on Neural Enhancement
  of Factor Graphs

Learning Fair Models without Sensitive Attributes: A Generative Approach

Learn2Sing 2.0: Diffusion and Mutual Information-Based Target Speaker
  SVS by Learning from Singing Teacher

Mind the gap: Challenges of deep learning approaches to Theory of Mind

PerfectDou: Dominating DouDizhu with Perfect Information Distillation

Recognition of polar lows in Sentinel-1 SAR images with deep learning

A general approach for running Python codes in OpenFOAM using an
  embedded pybind11 Python interpreter

On learning adaptive acquisition policies for undersampled multi-coil
  MRI reconstruction

Fast Aquatic Swimmer Optimization with Differentiable Projective
  Dynamics and Neural Network Hydrodynamic Models

Direct parameter estimations from machine-learning enhanced quantum
  state tomography

Investigating Top-$k$ White-Box and Transferable Black-box Attack

Slow-varying Dynamics Assisted Temporal Capsule Network for Machinery
  Remaining Useful Life Estimation

Incorporating Dynamic Semantics into Pre-Trained Language Model for
  Aspect-based Sentiment Analysis

INSPIRE: Distributed Bayesian Optimization for ImproviNg SPatIal REuse
  in Dense WLANs

IGRF-RFE: A Hybrid Feature Selection Method for MLP-based Network
  Intrusion Detection on UNSW-NB15 Dataset

Rainbow Keywords: Efficient Incremental Learning for Online Spoken
  Keyword Spotting

Practical Learned Lossless JPEG Recompression with Multi-Level
  Cross-Channel Entropy Model in the DCT Domain

Generative Adversarial Networks for the fast simulation of the Time
  Projection Chamber responses at the MPD detector

Identification of diffracted vortex beams at different propagation
  distances using deep learning

Machine Learning Approaches for Non-Intrusive Home Absence Detection
  Based on Appliance Electrical Use

PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised

PEGG-Net: Background Agnostic Pixel-Wise Efficient Grasp Generation
  Under Closed-Loop Conditions

Dual Temperature Helps Contrastive Learning Without Many Negative
  Samples: Towards Understanding and Simplifying MoCo

AmsterTime: A Visual Place Recognition Benchmark Dataset for Severe
  Domain Shift

An Offset-Free Nonlinear MPC scheme for systems learned by Neural NARX
  models

Reducing Learning Difficulties: One-Step Two-Critic Deep Reinforcement

Does Science need Intersubjectivity? The Problem of Confirmation in
  Orthodox Interpretations of Quantum Mechanics

How Does SimSiam Avoid Collapse Without Negative Samples? A Unified
  Understanding with Self-supervised Contrastive Learning

Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data

Research topic trend prediction of scientific papers based on spatial
  enhancement and dynamic graph convolution network

Physics Community Needs, Tools, and Resources for Machine Learning

First-order route to antiphase clustering in adaptive simplicial
  complexes

InstaFormer: Instance-Aware Image-to-Image Translation with Transformer

Evolutionary Programmer: Autonomously Creating Path Planning Programs
  based on Evolutionary Algorithms

Exploring ML testing in practice -- Lessons learned from an interactive
  rapid review with Axis Communications

Phase-Aware Deep Speech Enhancement: It's All About The Frame Length

Target-aware Dual Adversarial Learning and a Multi-scenario
  Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection

Acknowledging the Unknown for Multi-label Learning with Single Positive
  Labels

APG: Adaptive Parameter Generation Network for Click-Through Rate

Improved Convergence Rate of Stochastic Gradient Langevin Dynamics with
  Variance Reduction and its Application to Optimization

Learning of Global Objective for Network Flow in Multi-Object Tracking

Decentralized Collaborative Learning Framework for Next POI

Predicting Solid State Material Platforms for Quantum Technologies

On the Road to Online Adaptation for Semantic Image Segmentation

Probing phoneme, language and speaker information in unsupervised speech

Auto-MLM: Improved Contrastive Learning for Self-supervised
  Multi-lingual Knowledge Retrieval

Enabling Trade-offs in Machine Learning-based Matching for Refugee
  Resettlement

When Gamification Spoils Your Learning: A Qualitative Case Study of
  Gamification Misuse in a Language-Learning App

Self-Distillation from the Last Mini-Batch for Consistency

FLOAT: Factorized Learning of Object Attributes for Improved
  Multi-object Multi-part Scene Parsing

Rabbit, toad, and the Moon: Can machine categorize them into one class?

AdaGrid: Adaptive Grid Search for Link Prediction Training Objective

Speech and the n-Back task as a lens into depression. How combining both
  may allow us to isolate different core symptoms of depression

RICON: A ML framework for real-time and proactive intervention to
  prevent customer churn

Learning to Socially Navigate in Pedestrian-rich Environments with
  Interaction Capacity

Tampered VAE for Improved Satellite Image Time Series Classification

Example-based Explanations with Adversarial Attacks for Respiratory
  Sound Analysis

Scintillation light detection in the 6-m drift-length ProtoDUNE Dual
  Phase liquid argon TPC

Sensor Data Validation and Driving Safety in Autonomous Driving Systems

An I/O-Efficient Disk-based Graph System for Scalable Second-Order
  Random Walk of Large Graphs

Time Series Fault Classification for Wave Propagation Systems with
  Sparse Fault Data

Weakly-supervised Temporal Path Representation Learning with Contrastive
  Curriculum Learning -- Extended Version

LEAD1.0: A Large-scale Annotated Dataset for Energy Anomaly Detection in
  Commercial Buildings

A quantum learning approach based on Hidden Markov Models for failure
  scenarios generation

Improving Distortion Robustness of Self-supervised Speech Processing
  Tasks with Domain Adaptation

Continual Normalization: Rethinking Batch Normalization for Online

Adaptive Private-K-Selection with Adaptive K and Application to
  Multi-label PATE

Neighbor Enhanced Graph Convolutional Networks for Node Classification
  and Recommendation

Polarized deep diffractive neural network for classification,
  generation, multiplexing and de-multiplexing of orbital angular momentum
  modes

STRPM: A Spatiotemporal Residual Predictive Model for High-Resolution
  Video Prediction

Using Adapters to Overcome Catastrophic Forgetting in End-to-End
  Automatic Speech Recognition

Explainable Predictive Process Monitoring: Evaluation Metrics and
  Guidelines for Process Outcome Prediction

Learning Program Representations for Food Images and Cooking Recipes

An Improved Greedy Algorithm for Subset Selection in Linear Estimation

Decision-Focused Learning without Differentiable Optimization: Learning
  Locally Optimized Decision Losses

Probabilistic Parameter Estimation Using a Gaussian Mixture Density
  Network: Application to X-ray Reflectivity Data Curve Fitting

VL-InterpreT: An Interactive Visualization Tool for Interpreting
  Vision-Language Transformers

Understanding Graph Convolutional Networks for Text Classification

Benchmarking Structural Evolution Methods for Training of Machine
  Learned Interatomic Potentials

Coarse-to-Fine Recursive Speech Separation for Unknown Number of
  Speakers

Nonequilibrium Statistical Mechanics and Optimal Prediction of
  Partially-Observed Complex Systems

Remote Co-teaching in Rural Classroom: Current Practices, Impacts, and

An Iterative Co-Training Transductive Framework for Zero Shot Learning

Disentangling the Impacts of Language and Channel Variability on Speech
  Separation Networks

Learning Self-Modulating Attention in Continuous Time Space with
  Applications to Sequential Recommendation

Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels

Enhancing Zero-Shot Many to Many Voice Conversion with Self-Attention
  VAE

How Deep is Your Art: An Experimental Study on the Limits of Artistic
  Understanding in a Single-Task, Single-Modality Neural Network

Clozer: Adaptable Data Augmentation for Cloze-style Reading

Towards Collaborative Intelligence: Routability Estimation based on
  Decentralized Private Data

Prognosis of Rotor Parts Fly-off Based on Cascade Classification and
  Online Prediction Ability Index

Deep Joint Source-Channel Coding for CSI Feedback: An End-to-End
  Approach

Theory of Acceleration of Decision Making by Correlated Time Sequences

Meta-Sampler: Almost-Universal yet Task-Oriented Sampling for Point
  Clouds

Does Configuration Encoding Matter in Learning Software Performance? An
  Empirical Study on Encoding Schemes

Fine-Grained Object Classification via Self-Supervised Pose Alignment

VI-IKD: High-Speed Accurate Off-Road Navigation using Learned
  Visual-Inertial Inverse Kinodynamics

Spy in the GPU-box: Covert and Side Channel Attacks on Multi-GPU Systems

DELTA: Dynamically Optimizing GPU Memory beyond Tensor Recomputation

Device-Directed Speech Detection: Regularization via Distillation for
  Weakly-Supervised Models

Higher-Order Generalization Bounds: Learning Deep Probabilistic Programs
  via PAC-Bayes Objectives

A meta-probabilistic-programming language for bisimulation of
  probabilistic and non-well-founded type systems

PSMNet: Position-aware Stereo Merging Network for Room Layout Estimation

Protein 3D structure-based neural networks highly improve the accuracy
  in compound-protein binding affinity prediction

Entity-driven Fact-aware Abstractive Summarization of Biomedical

Investigating the Properties of Neural Network Representations in

4-bit Conformer with Native Quantization Aware Training for Speech

Improving Capstone Research Projects: Using Computational Thinking to
  Provide Choice and Structured Active Learning

Self-Supervised Leaf Segmentation under Complex Lighting Conditions

Efficient Localness Transformer for Smart Sensor-Based Energy
  Disaggregation

Recent improvements of ASR models in the face of adversarial attacks

Improving Mispronunciation Detection with Wav2vec2-based Momentum
  Pseudo-Labeling for Accentedness and Intelligibility Assessment

Supervised Graph Contrastive Learning for Few-shot Node Classification

A Computational Architecture for Machine Consciousness and Artificial
  Superintelligence: Updating Working Memory Iteratively

Artificial Intelligence Software Structured to Simulate Human Working
  Memory, Mental Imagery, and Mental Continuity

Self-Contrastive Learning based Semi-Supervised Radio Modulation

Bayesian optimization with known experimental and design constraints for
  chemistry applications

Disentangled3D: Learning a 3D Generative Model with Disentangled
  Geometry and Appearance from Monocular Images

Multi-Agent Asynchronous Cooperation with Hierarchical Reinforcement
  Learning

Pretraining Graph Neural Networks for few-shot Analog Circuit Modeling
  and Design

Connections between Deep Equilibrium and Sparse Representation models
  with Application to Hyperspectral Imaging

Learning to Detect Mobile Objects from LiDAR Scans Without Labels

A deep learning model for burn depth classification using ultrasound
  imaging

An Overview & Analysis of Sequence-to-Sequence Emotional Voice

A Derivation of Nesterov's Accelerated Gradient Algorithm from Optimal
  Control Theory

On Triangulation as a Form of Self-Supervision for 3D Human Pose

WAVPROMPT: Towards Few-Shot Spoken Language Understanding with Frozen

Visualizing the Relationship Between Encoded Linguistic Information and
  Task Performance

NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image
  Caption Generation Models

Investigating Data Variance in Evaluations of Automatic Machine
  Translation Metrics

OdontoAI: A human-in-the-loop labeled data set and an online platform to
  boost research on dental panoramic radiographs

Locomotion Policy Guided Traversability Learning using Volumetric
  Representations of Complex Environments

Near-optimality for infinite-horizon restless bandits with many arms

Characterization and Verification of Trotterized Digital Quantum
  Simulation via Hamiltonian and Liouvillian Learning

NNLander-VeriF: A Neural Network Formal Verification Framework for
  Vision-Based Autonomous Aircraft Landing

Autoregressive Co-Training for Learning Discrete Speech Representations

The TESS Triple-9 Catalog: 999 uniformly vetted candidate exoplanets

DRaCoN -- Differentiable Rasterization Conditioned Neural Radiance
  Fields for Articulated Avatars

Convergence and Complexity of Stochastic Subgradient Methods with
  Dependent Data for Nonconvex Optimization

Unsupervised Text-to-Speech Synthesis by Unsupervised Automatic Speech

Not Another School Resource Map: Meeting Underserved Families'
  Information Needs Requires Trusting Relationships and Personalized Care

Instance Relation Graph Guided Source-Free Domain Adaptive Object
  Detection

Target and Task specific Source-Free Domain Adaptive Image Segmentation

Revisiting Neighborhood-based Link Prediction for Collaborative
  Filtering

Text-Driven Video Acceleration: A Weakly-Supervised Reinforcement
  Learning Method

Zero-shot meta-learning for small-scale data from human subjects

Efficiently Evolving Swarm Behaviors Using Grammatical Evolution With
  PPA-style Behavior Trees

FisherMatch: Semi-Supervised Rotation Regression via Entropy-based
  Filtering

Identifying the population of stable $ν_6$ resonant asteroids using
  large databases

A Sparsity-promoting Dictionary Model for Variational Autoencoders

Causal de Finetti: On the Identification of Invariant Causal Structure
  in Exchangeable Data

Demonstration-Bootstrapped Autonomous Practicing via Multi-Task

Evaluating Prompts Across Multiple Choice Tasks In a Zero-Shot Setting

HardVis: Visual Analytics to Handle Instance Hardness Using
  Undersampling and Oversampling Techniques

A Passive Similarity based CNN Filter Pruning for Efficient Acoustic
  Scene Classification

When to Go, and When to Explore: The Benefit of Post-Exploration in
  Intrinsic Motivation

Accurate Deep Learning-aided Density-free Strategy for Many-Body
  Dispersion-corrected Density Functional Theory

Towards Spatio-Temporal Aware Traffic Time Series Forecasting--Full
  Version

Synergizing Physics/Model-based and Data-driven Methods for Low-Dose CT

Transformer Network-based Reinforcement Learning Method for Power
  Distribution Network (PDN) Optimization of High Bandwidth Memory (HBM)

Transformer Inertial Poser: Real-time Human Motion Reconstruction from
  Sparse IMUs with Simultaneous Terrain Generation

Integrative Few-Shot Learning for Classification and Segmentation

OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object

Stabilized Neural Ordinary Differential Equations for Long-Time
  Forecasting of Dynamical Systems

Contrasting the landscape of contrastive and non-contrastive learning

MAP-Gen: An Automated 3D-Box Annotation Flow with Multimodal Attention
  Point Generator

Auditing Privacy Defenses in Federated Learning via Generative Gradient
  Leakage

Towards Filling the Gaps around Recurrent Events in High-Dimensional
  Framework: Literature Review and Early Comparison

Improved Counting and Localization from Density Maps for Object
  Detection in 2D and 3D Microscopy Imaging

Texture based Prototypical Network for Few-Shot Semantic Segmentation of
  Forest Cover: Generalizing for Different Geographical Regions

DRSpeech: Degradation-Robust Text-to-Speech Synthesis with Frame-Level
  and Utterance-Level Acoustic Representation Learning

Characterization of Graphene/Ionic Liquid Memristive Devices for
  Neuromorphic Systems

Exploring Frequency Adversarial Attacks for Face Forgery Detection

SurvCaus : Representation Balancing for Survival Causal Inference

Nearly Minimax Algorithms for Linear Bandits with Shared Representation

Consistency regularization-based Deep Polynomial Chaos Neural Network
  Method for Reliability Analysis

Nix-TTS: Lightweight and End-to-End Text-to-Speech via Module-wise

Synthesis and Execution of Communicative Robotic Movements with

NL-FCOS: Improving FCOS through Non-Local Modules for Object Detection

PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and
  Hallucination under Self-supervision

Classification of Hyperspectral Images Using SVM with Shape-adaptive
  Reconstruction and Smoothed Total Variation

Galaxy And Mass Assembly (GAMA): Self-Organizing Map Application on
  Nearby Galaxies

LightHuBERT: Lightweight and Configurable Speech Representation Learning
  with Once-for-All Hidden-Unit BERT

Photographic Visualization of Weather Forecasts with Generative

Cross-Media Scientific Research Achievements Retrieval Based on Deep

Discovering Governing Equations by Machine Learning implemented with
  Invariance

Learning a Structured Latent Space for Unsupervised Point Cloud

Circuit encapsulation for efficient quantum computing based on
  controlled many-body dynamics

ME-CapsNet: A Multi-Enhanced Capsule Networks with Routing Mechanism

Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate
  Prediction in E-commerce Search

Optical and X-ray GRB Fundamental Planes as Cosmological Distance
  Indicators

BARC: Learning to Regress 3D Dog Shape from Images by Exploiting Breed

Interactive Audio-text Representation for Automated Audio Captioning

Quantum Machine Learning Corrects Classical Force Fields: Stretching DNA
  Base Pairs in Explicit Solvent

Collision-Free Navigation using Evolutionary Symmetrical Neural Networks

Achieving Guidance in Applied Machine Learning through Software
  Engineering Techniques

An Unbiased Symmetric Matrix Estimator for Topology Inference under
  Partial Observability

Improving the Learnability of Machine Learning APIs by Semi-Automated
  API Wrapping

Neural representation of a time optimal, constant acceleration
  rendezvous

Gaussian Control Barrier Functions : A Non-Parametric Paradigm to Safety

Graph similarity learning for change-point detection in dynamic networks

Abstract Flow for Temporal Semantic Segmentation on the Permutohedral
  Lattice

Machine Composition of Korean Music via Topological Data Analysis and
  Artificial Neural Network

Protein language models trained on multiple sequence alignments learn
  phylogenetic relationships

Transfer Learning Framework for Low-Resource Text-to-Speech using a
  Large-Scale Unlabeled Speech Corpus

UnShadowNet: Illumination Critic Guided Contrastive Learning For Shadow
  Removal

Machine Learning model driven prediction of the initial geometry in
  Heavy-Ion Collision experiments

Investigating Self-supervised Pretraining Frameworks for Pathological

Quality Assurance of Generative Dialog Models in an Evolving
  Conversational Agent Used for Swedish Language Practice

Deep Reinforcement Learning for Data-Driven Adaptive Scanning in
  Ptychography

AutoCoMet: Smart Neural Architecture Search via Co-Regulated Shaping
  Reinforcement

TransductGAN: a Transductive Adversarial Model for Novelty Detection

Physics-informed deep-learning applications to experimental fluid
  mechanics

Learning to act: a Reinforcement Learning approach to recommend the best
  next activities

ReIL: A Framework for Reinforced Intervention-based Imitation Learning

A Multi-Stage Duplex Fusion ConvNet for Aerial Scene Classification

Federated Learning-Based Localization with Heterogeneous Fingerprint
  Database

Pareto Set Learning for Neural Multi-objective Combinatorial

Alignment-Uniformity aware Representation Learning for Zero-shot Video

Variational methods and deep Ritz method for active elastic solids

High Speed Photonic Neuromorphic Computing Using Recurrent Optical
  Spectrum Slicing Neural Networks

mc-BEiT: Multi-choice Discretization for Image BERT Pre-training

Multiclass classification using quantum convolutional neural networks
  with hybrid quantum-classical learning

Self-Supervised Image Representation Learning with Geometric Set

Nested Collaborative Learning for Long-Tailed Visual Recognition

Online Continual Learning on a Contaminated Data Stream with Blurry Task
  Boundaries

Signing at Scale: Learning to Co-Articulate Signs for Large-Scale
  Photo-Realistic Sign Language Production

SIOD: Single Instance Annotated Per Category Per Image for Object
  Detection

Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis

Infrared and Visible Image Fusion via Interactive Compensatory Attention

End-to-End Compressed Video Representation Learning for Generic Event
  Boundary Detection

CNN Filter DB: An Empirical Investigation of Trained Convolutional
  Filters

Robust Single Image Dehazing Based on Consistent and Contrast-Assisted

syslrn: Learning What to Monitor for Efficient Anomaly Detection

Classification of NEQR Processed Classical Images using Quantum Neural
  Networks (QNN)

Can NMT Understand Me? Towards Perturbation-based Evaluation of NMT
  Models for Code Generation

In-N-Out Generative Learning for Dense Unsupervised Video Segmentation

MatchNorm: Learning-based Point Cloud Registration for 6D Object Pose
  Estimation in the Real World

A Wavelet, AR and SVM based hybrid method for short-term wind speed

Kernel Modulation: A Parameter-Efficient Method for Training

Bayesian Photonic Accelerators for Energy Efficient and Noise Robust
  Neural Processing

Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose

A Deep Learning Approach for Thermal Plume Prediction of Groundwater
  Heat Pumps

Design strategies for controlling neuron-connected robots using

Accelerating Code Search with Deep Hashing and Code Classification

Mel Frequency Spectral Domain Defenses against Adversarial Attacks on
  Speech Recognition Systems

A Multi-size Kernel based Adaptive Convolutional Neural Network for
  Bearing Fault Diagnosis

Sparse Image based Navigation Architecture to Mitigate the need of
  precise Localization in Mobile Robots

Vision Transformers in Medical Computer Vision -- A Contemplative
  Retrospection

What to expect from dynamical modelling of cluster haloes II.
  Investigating dynamical state indicators with Random Forest

Efficient Reflectance Capture with a Deep Gated Mixture-of-Experts

NeuraGen-A Low-Resource Neural Network based approach for Gender

Identification and classification of exfoliated graphene flakes from
  microscopy images using a hierarchical deep convolutional neural network

Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene

Analysis of EEG frequency bands for Envisioned Speech Recognition

MFA-Conformer: Multi-scale Feature Aggregation Conformer for Automatic

Robust Structured Declarative Classifiers for 3D Point Clouds: Defending
  Adversarial Attacks with Implicit Gradients

Semi-Supervised Image-to-Image Translation using Latent Space Mapping

Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape
  Laplacian

Equivariance Allows Handling Multiple Nuisance Variables When Analyzing
  Pooled Neuroimaging Datasets

AutoPoly: Predicting a Polygonal Mesh Construction Sequence from a
  Silhouette Image

Edge Detection and Deep Learning Based SETI Signal Classification Method

SHOP: A Deep Learning Based Pipeline for near Real-Time Detection of
  Small Handheld Objects Present in Blurry Video

Mining the information content of member galaxies in the halo mass
  modelling

Few Could Be Better Than All: Feature Sampling and Grouping for Scene
  Text Detection

Comparing the effects of Boltzmann machines as associative memory in
  Generative Adversarial Networks between classical and quantum sampling

Affine Medical Image Registration with Coarse-to-Fine Vision Transformer

A single Long Short-Term Memory network for enhancing the prediction of
  path-dependent plasticity with material heterogeneity and anisotropy

Camera-Conditioned Stable Feature Generation for Isolated Camera
  Supervised Person Re-IDentification

OrphicX: A Causality-Inspired Latent Variable Model for Interpreting

SPAct: Self-supervised Privacy Preservation for Action Recognition

SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation

3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow

ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal
  Action Localization

Min-Max Similarity: A Contrastive Semi-Supervised Deep Learning Network
  for Surgical Tools Segmentation

Disentangling Object Motion and Occlusion for Unsupervised Multi-frame
  Monocular Depth

Smooth Robust Tensor Completion for Background/Foreground Separation
  with Missing Pixels: Novel Algorithm with Convergence Guarantee

An Evaluation Dataset for Legal Word Embedding: A Case Study On Chinese
  Codex

Assessing Evolutionary Terrain Generation Methods for Curriculum

Self-Supervised Light Field Depth Estimation Using Epipolar Plane Images

CAT-Net: A Cross-Slice Attention Transformer Model for Prostate Zonal
  Segmentation in MRI

Learning to Synthesize Volumetric Meshes from Vision-based Tactile
  Imprints

Worldwide city transport typology prediction with sentence-BERT based
  supervised learning via Wikipedia

A machine learning-based severity prediction tool for diabetic
  sensorimotor polyneuropathy using Michigan neuropathy screening
  instrumentations

Tight bounds on the hardness of learning simple nonparametric mixtures

Separate What You Describe: Language-Queried Audio Source Separation

Evolution and use of data science vocabulary. How much have we changed
  in 13 years?

Improving Source Separation by Explicitly Modeling Dependencies Between
  Sources

LocalBins: Improving Depth Estimation by Learning Local Distributions

A Study of Reinforcement Learning Algorithms for Aggregates of
  Minimalistic Robots

An Online Approach to Solve the Dynamic Vehicle Routing Problem with
  Stochastic Trip Requests for Paratransit Services

Investigation of Different Calibration Methods for Deep Speaker
  Embedding based Verification Systems

FedADMM: A Federated Primal-Dual Algorithm Allowing Partial
  Participation

Adversarial Motion Priors Make Good Substitutes for Complex Reward
  Functions

Understanding out-of-distribution accuracies through quantifying
  difficulty of test samples

FlexFringe: Modeling Software Behavior by Learning Probabilistic
  Automata

LogicInference: A New Dataset for Teaching Logical Inference to seq2seq
  Models

Improved singing voice separation with chromagram-based pitch-aware
  remixing

New pyramidal hybrid textural and deep features based automatic skin
  cancer classification model: Ensemble DarkNet and textural feature extractor

Learning Optical Flow, Depth, and Scene Flow without Real-World Labels

X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval

Efficient and flexible causal mediation with time-varying mediators,
  treatments, and confounders

CD-Net: Histopathology Representation Learning using Pyramidal
  Context-Detail Network

A Comparison of Hamming Errors of Representative Variable Selection
  Methods

Leveraging Tactile Sensors for Low Latency Embedded Smart Hands for
  Prosthetic and Robotic Applications

A Deep Learning Technique using a Sequence of Follow Up X-Rays for
  Disease classification

Discovering material information using hierarchical Reformer model on
  financial regulatory filings

A Fast and Efficient Conditional Learning for Tunable Trade-Off between
  Accuracy and Robustness

Socially Compliant Navigation Dataset (SCAND): A Large-Scale Dataset of
  Demonstrations for Social Navigation

Confirming new changing--look AGNs discovered through optical
  variability using a random-forest based light curve classifier

Accelerating innovation with software abstractions for scalable
  computational geophysics

Learning Parameterized Task Structure for Generalization to Unseen
  Entities

Solving Disjunctive Temporal Networks with Uncertainty under Restricted
  Time-Based Controllability using Tree Search and Graph Neural Networks

Deep Interactive Learning-based ovarian cancer segmentation of
  H&E-stained whole slide images to study morphological patterns of BRCA
  mutation

DAMNETS: A Deep Autoregressive Model for Generating Markovian Network
  Time Series

Registering Explicit to Implicit: Towards High-Fidelity Garment mesh
  Reconstruction from Single Images

TL-GAN: Improving Traffic Light Recognition via Data Synthesis for

Offline-Online Learning of Deformation Model for Cable Manipulation with

Comparing in context: Improving cosine similarity measures with a metric
  tensor

Frame-wise Action Representations for Long Videos via Sequence

Differentiable Microscopy for Content and Task Aware Compressive
  Fluorescence Imaging

Differentiable Microscopy Designs an All Optical Quantitative Phase
  Microscope

Learning to Prompt for Open-Vocabulary Object Detection with
  Vision-Language Model

FedVLN: Privacy-preserving Federated Vision-and-Language Navigation

RAVIR: A Dataset and Methodology for the Semantic Segmentation and
  Quantitative Analysis of Retinal Arteries and Veins in Infrared Reflectance
  Imaging

Learning What You Need from What You Did: Product Taxonomy Expansion
  with User Behaviors Supervision

UTSA NLP at SemEval-2022 Task 4: An Exploration of Simple Ensembles of
  Transformers, Convolutional, and Recurrent Neural Networks

Expanding Low-Density Latent Regions for Open-Set Object Detection

Instantaneous Frequency Estimation In Multi-Component Signals Using
  Stochastic EM Algorithm

Properties and Performance of the ABCDe Random Graph Model with
  Community Structure

Probabilistic Spherical Discriminant Analysis: An Alternative to PLDA
  for length-normalized embeddings

LOCAT: Low-Overhead Online Configuration Auto-Tuning of Spark SQL

TGL: A General Framework for Temporal GNN Training on Billion-Scale
  Graphs

Design and Implementation of Knowledge Base for Runtime Management of
  Software Defined Hardware

Continuous Metric Learning For Transferable Speech Emotion Recognition
  and Embedding Across Low-resource Languages

Towards Transferable Speech Emotion Representation: On loss functions
  for cross-lingual latent representations

HIME: Efficient Headshot Image Super-Resolution with Multiple Exemplars

WSEBP: A Novel Width-depth Synchronous Extension-based Basis Pursuit
  Algorithm for Multi-Layer Convolutional Sparse Coding

Modular Adaptive Policy Selection for Multi-Task Imitation Learning
  through Task Division

Learning Sketches for Decomposing Planning Problems into Subproblems of
  Bounded Width: Extended Version

TraHGR: Transformer for Hand Gesture Recognition via ElectroMyography

Discovering dynamic laws from observations: the case of self-propelled,
  interacting colloids

Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches

A Framework of Meta Functional Learning for Regularising Knowledge
  Transfer

Dual-Path Style Learning for End-to-End Noise-Robust Speech Recognition

Analyzing Language-Independent Speaker Anonymization Framework under
  Unseen Conditions

Differentiable, learnable, regionalized process-based models with
  physical outputs can approach state-of-the-art hydrologic prediction accuracy

Estimating SARS-CoV-2 transmission in educational settings: a
  retrospective cohort study

Numerical and geometrical aspects of flow-based variational quantum
  Monte Carlo

Sketching without Worrying: Noise-Tolerant Sketch-Based Image Retrieval

Using Probabilistic Machine Learning to Better Model Temporal Patterns
  in Parameterizations: a case study with the Lorenz 96 model

Extracting Image Characteristics to Predict Crowdfunding Success

Killing Two Birds with One Stone:Efficient and Robust Training of Face
  Recognition CNNs by Partial FC

Limited Parameter Denoising for Low-dose X-ray Computed Tomography Using

Reliability and Validity of the Polar V800 Sports Watch for Estimating
  Vertical Jump Height

A Long Short-term Memory Based Recurrent Neural Network for
  Interventional MRI Reconstruction

Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for
  Temporal Convolutional Networks

Extending inferences from a cluster randomized trial to a target
  population

STUDIES: Corpus of Japanese Empathetic Dialogue Speech Towards Friendly
  Voice Agent

Knowledge-Guided Learning for Transceiver Design in Over-the-Air

Adaptive Risk-Tendency: Nano Drone Navigation in Cluttered Environments
  with Distributional Reinforcement Learning

Neural Estimation and Optimization of Directed Information over
  Continuous Spaces

Learning Personalized Human-Aware Robot Navigation Using Virtual Reality
  Demonstrations from a User Study

An improved approximation algorithm for maximizing a DR-submodular
  function over a convex set

Using Domain Knowledge for Low Resource Named Entity Recognition

Infinite-Dimensional Sparse Learning in Linear System Identification

A Novel Multi-Task Learning Empowered Codebook Design for Downlink SCMA
  Networks

Learning to estimate UAV created turbulence from scene structure
  observed by onboard cameras

Primitive-based Shape Abstraction via Nonparametric Bayesian Inference

Hierarchical Transformer Model for Scientific Named Entity Recognition

MSTR: Multi-Scale Transformer for End-to-End Human-Object Interaction
  Detection

REPTILE: A Proactive Real-Time Deep Reinforcement Learning Self-adaptive
  Framework

Part-based Pseudo Label Refinement for Unsupervised Person

Using Machine Learning to generate an open-access cropland map from
  satellite images time series in the Indian Himalayan Region

MaskGroup: Hierarchical Point Grouping and Masking for 3D Instance

To Fold or Not to Fold: a Necessary and Sufficient Condition on
  Batch-Normalization Layers Folding

Subjective Evaluation of Deep Learning Models for Symbolic Music
  Composition

SyncNet: Using Causal Convolutions and Correlating Objective for Time
  Delay Estimation in Audio Signals

Dynamic state and parameter estimation in multi-machine power systems -
  Experimental demonstration using real-world PMU-measurements

Surrogate Assisted Evolutionary Multi-objective Optimisation applied to
  a Pressure Swing Adsorption system

Adaptation to CT Reconstruction Kernels by Enforcing Cross-domain
  Feature Maps Consistency

Convex Non-negative Matrix Factorization Through Quantum Annealing

A Hybrid Learning and Optimization Framework to Achieve Physically
  Interactive Tasks with Mobile Manipulators

On-the-fly Feature Based Speaker Adaptation for Dysarthric and Elderly

MI-BMInet: An Efficient Convolutional Neural Network for Motor Imagery
  Brain--Machine Interfaces with EEG Channel Selection

Adaptive Learning with Artificial Barriers Yielding Nash Equilibria in
  General Games

S2-Net: Self-supervision Guided Feature Representation Learning for
  Cross-Modality Images

Computer Science Named Entity Recognition in the Open Research Knowledge
  Graph

Demystifying the Neural Tangent Kernel from a Practical Perspective: Can
  it be trusted for Neural Architecture Search without training?

Detection threshold for correlated Erdős-Rényi graphs via densest
  subgraphs

Distributed Task Management in the Heterogeneous Fog: A Socially Concave
  Bandit Game

Deep Learning Jet Image as a Probe of Light Higgsino Dark Matter at the
  LHC

Style-Guided Domain Adaptation for Face Presentation Attack Detection

Generative Design Ideation: A Natural Language Generation Approach

Investigating Active-learning-based Training Data Selection for Speech
  Spoofing Countermeasure

Gradient-Matching Coresets for Rehearsal-Based Continual Learning

UNICON: Combating Label Noise Through Uniform Selection and Contrastive
  Learning

Improving Matrix-vector Multiplication via Lossless Grammar-Compressed
  Matrices

Semi-supervised anomaly detection algorithm based on KL divergence
  (SAD-KL)

Zeta-Payne: a fully automated spectrum analysis algorithm for the Milky
  Way Mapper program of the SDSS-V survey

Reference-based Video Super-Resolution Using Multi-Camera Video Triplets

Robust Unlearnable Examples: Protecting Data Against Adversarial
  Learning

Subspace-based Representation and Learning for Phonotactic Spoken

Translation Consistent Semi-supervised Segmentation for 3D Medical
  Images

Learning to Collide: Recommendation System Model Compression with
  Learned Hash Functions

A collection of invited non-archival papers for the Conference on
  Health, Inference, and Learning (CHIL) 2022

Multi-View Substructure Learning for Drug-Drug Interaction Prediction

Statistical Inference for Heterogeneous Treatment Effects Discovered by
  Generic Machine Learning in Randomized Experiments

ImFace: A Nonlinear 3D Morphable Face Model with Implicit Neural

Automated Progressive Learning for Efficient Training of Vision

Catching Both Gray and Black Swans: Open-set Supervised Anomaly
  Detection

MolGenSurvey: A Systematic Survey in Machine Learning Models for
  Molecule Design

NOC-REK: Novel Object Captioning with Retrieved Vocabulary from External
  Knowledge

EnCBP: A New Benchmark Dataset for Finer-Grained Cultural Background
  Prediction in English

Enhancing Neural Mathematical Reasoning by Abductive Combination with
  Symbolic Library

Equivariant Point Cloud Analysis via Learning Orientations for Message
  Passing

Does Coding in Pythonic Zen Peak Performance? Preliminary Experiments of
  Nine Pythonic Idioms at Scale

Leveraging Clinically Relevant Biometric Constraints To Supervise A Deep
  Learning Model For The Accurate Caliper Placement To Obtain Sonographic
  Measurements Of The Fetal Brain

DNN-Driven Compressive Offloading for Edge-Assisted Semantic Video

UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative
  Scenarios

Towards Dynamic and Safe Configuration Tuning for Cloud Databases

Enhancing Transformer Efficiency for Multivariate Time Series

Integrating Physiological Time Series and Clinical Notes with
  Transformer for Early Prediction of Sepsis

Multi-model Ensemble Learning Method for Human Expression Recognition

OTFace: Hard Samples Guided Optimal Transport Loss for Deep Face

PAEDID: Patch Autoencoder Based Deep Image Decomposition For Pixel-level
  Defective Region Segmentation

SC^2-PCR: A Second Order Spatial Compatibility for Efficient and Robust

Optimisation-free Classification and Density Estimation with Quantum
  Circuits

A quantum algorithm for solving eigenproblem of the Laplacian matrix of
  a fully connected weighted graph

Inverse Design and Experimental Verification of a Bianisotropic
  Metasurface Using Optimization and Machine Learning

Decoupled Multi-task Learning with Cyclical Self-Regulation for Face
  Parsing

Deep Reinforcement Learning Aided Platoon Control Relying on V2X

Relaxation Labeling Meets GANs: Solving Jigsaw Puzzles with Missing
  Borders

Bunched LPCNet2: Efficient Neural Vocoders Covering Devices from Cloud
  to Edge

A Dataset for Speech Emotion Recognition in Greek Theatrical Plays

Investigation of bi-particle states in gate-array-controlled quantum-dot
  systems aided by machine learning techniques

Learned coupled inversion for carbon sequestration monitoring and
  forecasting with Fourier neural operators

Single-Stream Multi-Level Alignment for Vision-Language Pretraining

Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data
  Products and a Bidirectional LSTM Network

Towards physiology-informed data augmentation for EEG-based BCIs

Velocity continuation with Fourier neural operators for accelerated

Continual learning: a feature extraction formalization, an efficient
  algorithm, and fundamental obstructions

Algorithmic support of a personal virtual assistant for automating the
  processing of client requests

MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical
  domain Question Answering

CaCo: Both Positive and Negative Samples are Directly Learnable via
  Cooperative-adversarial Contrastive Learning

piRank: A Probabilistic Intent Based Ranking Framework for Facebook
  Search

Improving The Diagnosis of Thyroid Cancer by Machine Learning and
  Clinical Data

Physics Guided Deep Learning for Generative Design of Crystal Materials
  with Symmetry Constraints

Reinforcement Guided Multi-Task Learning Framework for Low-Resource
  Stereotype Detection

Unentangled quantum reinforcement learning agents in the OpenAI Gym

Diagonal State Spaces are as Effective as Structured State Spaces

MFSNet: A Multi Focus Segmentation Network for Skin Lesion Segmentation

Distributed Link Sparsification for Scalable Scheduling Using Graph

Locality-Aware Inter-and Intra-Video Reconstruction for Self-Supervised
  Correspondence Learning

On the Neural Tangent Kernel Analysis of Randomly Pruned Wide Neural
  Networks

Local-Adaptive Face Recognition via Graph-based Meta-Clustering and
  Regularized Adaptation

DeepXRD, a Deep Learning Model for Predicting of XRD spectrum from
  Materials Composition

PatchNet: A Simple Face Anti-Spoofing Framework via Fine-Grained Patch

Blind Source Separation for Mixture of Sinusoids with Near-Linear
  Computational Complexity

MutexMatch: Semi-supervised Learning with Mutex-based Consistency

Adaptive Frequency Learning in Two-branch Face Forgery Detection

Beyond Masking: Demystifying Token-Based Pre-Training for Vision

Sublinear Dynamic Interval Scheduling (on one or multiple machines)

Temporal Transductive Inference for Few-Shot Video Object Segmentation

TREND: TempoRal Event and Node Dynamics for Graph Representation
  Learning

Adversarial Representation Sharing: A Quantitative and Secure
  Collaborative Learning Framework

StrokeSight: A Novel EEG-Based Diagnostic System for Strokes Using
  Spectral Analysis and Deep Learning

HELoC: Hierarchical Contrastive Learning of Source Code Representation

Example-based Hypernetworks for Out-of-Distribution Generalization

Discovering Human-Object Interaction Concepts via Self-Compositional
  Learning

A Unified Study of Machine Learning Explanation Evaluation Metrics

Unsupervised Vision-Language Parsing: Seamlessly Bridging Visual Scene
  Graphs with Language Structures via Dependency Relationships

Image quality assessment for machine learning tasks using
  meta-reinforcement learning

BARCOR: Towards A Unified Framework for Conversational Recommendation
  Systems

Group pattern detection of longitudinal data using functional statistics

Causality Inspired Representation Learning for Domain Generalization

Design and Development of Rule-based open-domain Question-Answering
  System on SQuAD v2.0 Dataset

Listen, Adapt, Better WER: Source-free Single-utterance Test-time
  Adaptation for Automatic Speech Recognition

How Severe is Benchmark-Sensitivity in Video Self-Supervised Learning?

Towards Discriminative Representation: Multi-view Trajectory Contrastive
  Learning for Online Multi-object Tracking

Denoising Likelihood Score Matching for Conditional Score-based Data

An Empirical Study and Comparison of Recent Few-Shot Object Detection

A Survey of Super-Resolution in Iris Biometrics with Evaluation of
  Dictionary-Learning

How to Robustify Black-Box ML Models? A Zeroth-Order Optimization

Interpretable Machine Learning Models for Modal Split Prediction in
  Transportation Systems

mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary
  Research Collaborations

Educational Question Generation of Children Storybooks via Question Type
  Distribution Learning and Event-Centric Summarization

Benchmarking Deep AUROC Optimization: Loss Functions and Algorithmic
  Choices

AutoTS: Automatic Time Series Forecasting Model Design Based on
  Two-Stage Pruning

A Robust Optimization Method for Label Noisy Datasets Based on Adaptive
  Threshold: Adaptive-k

A Novel Neuromorphic Processors Realization of Spiking Deep
  Reinforcement Learning for Portfolio Management

How Do We Fail? Stress Testing Perception in Autonomous Vehicles

NUNet: Deep Learning for Non-Uniform Super-Resolution of Turbulent Flows

Collaborative Intelligent Reflecting Surface Networks with Multi-Agent

Reverse Engineering of Imperceptible Adversarial Image Perturbations

Efficient Global Robustness Certification of Neural Networks via
  Interleaving Twin-Network Encoding

Discovering dynamical features of Hodgkin-Huxley-type model of
  physiological neuron using artificial neural network

A comparative analysis of Graph Neural Networks and commonly used
  machine learning algorithms on fake news detection

Nash, Conley, and Computation: Impossibility and Incompleteness in Game
  Dynamics

Bridge-Prompt: Towards Ordinal Action Understanding in Instructional
  Videos

A Spiking Neural Network based on Neural Manifold for Augmenting
  Intracortical Brain-Computer Interface Data

Uncertainty-aware Contrastive Distillation for Incremental Semantic

SlimFL: Federated Learning with Superposition Coding over Slimmable

MQDD: Pre-training of Multimodal Question Duplicity Detection for
  Software Engineering Domain

Towards Visual Affordance Learning: A Benchmark for Affordance

3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point
  Clouds

Remix-cycle-consistent Learning on Adversarially Learned Separator for
  Accurate and Stable Unsupervised Speech Separation

Computationally efficient joint coordination of multiple electric
  vehicle charging points using reinforcement learning

V3GAN: Decomposing Background, Foreground and Motion for Video

Estimation of Full Sky CMB Angular Power Spectrum from High Resolution
  Partial Sky CMB Map Using Artificial Neural Network

Constant factor approximations for Lower and Upper bounded Clusterings

RGB-D Neural Radiance Fields: Local Sampling for Faster Training

Joint Transformer/RNN Architecture for Gesture Typing in Indic Languages

Learning Deep Implicit Functions for 3D Shapes with Dynamic Code Clouds

A Survey of Robust Adversarial Training in Pattern Recognition:
  Fundamental, Theory, and Methodologies

Adaptively Lighting up Facial Expression Crucial Regions via Local
  Non-Local Joint Network

Contrastive Graph Learning for Population-based fMRI Classification

Data Augmentation Strategies for Improving Sequential Recommender
  Systems

Dynamic Noises of Multi-Agent Environments Can Improve Generalization:
  Agent-based Models meets Reinforcement Learning

Aggressive Quadrotor Flight Using Curiosity-Driven Reinforcement
  Learning

Quantum continual learning of quantum data realizing knowledge backward
  transfer

Medicinal Boxes Recognition on a Deep Transfer Learning Augmented
  Reality Mobile Application

SGDR: Semantic-guided Disentangled Representation for Unsupervised
  Cross-modality Medical Image Segmentation

Combining Evolution and Deep Reinforcement Learning for Policy Search: a
  Survey

EYNet: Extended YOLO for Airport Detection in Remote Sensing Images

Learning to Predict RNA Sequence Expressions from Whole Slide Images
  with Applications for Search and Classification

Transfer of codebook latent factors for cross-domain recommendation with
  non-overlapping data

RSCFed: Random Sampling Consensus Federated Semi-supervised Learning

Current Source Localization Using Deep Prior with Depth Weighting

Autoregressive Linguistic Steganography Based on BERT and Consistency
  Coding

Tuning Particle Accelerators with Safety Constraints using Bayesian

Tutorial: Modern Theoretical Tools for Understanding and Designing
  Next-generation Information Retrieval System

Robust Fuzzy Q-Learning-Based Strictly Negative Imaginary Tracking
  Controllers for the Uncertain Quadrotor Systems

From Intervention to Domain Transportation: A Novel Perspective to
  Optimize Recommendation

Mode decomposition-based time-varying phase synchronization for fMRI
  Data

Multi-Edge Server-Assisted Dynamic Federated Learning with an Optimized
  Floating Aggregation Point

Fantastic Questions and Where to Find Them: FairytaleQA -- An Authentic
  Dataset for Narrative Comprehension

Neural Network Layers for Prediction of Positive Definite Elastic
  Stiffness Tensors

Deep Learning and Artificial General Intelligence: Still a Long Way to
  Go

Offline Reinforcement Learning Under Value and Density-Ratio
  Realizability: The Power of Gaps

Snowmass 2021 whitepaper: Proton structure at the precision frontier

A Semi-Decoupled Approach to Fast and Optimal Hardware-Software
  Co-Design of Neural Accelerators

Theoretical Connection between Locally Linear Embedding, Factor
  Analysis, and Probabilistic PCA

On efficient algorithms for computing near-best polynomial
  approximations to high-dimensional, Hilbert-valued functions from limited
  samples

Sylph: A Hypernetwork Framework for Incremental Few-shot Object
  Detection

Using Multiple Instance Learning for Explainable Solar Flare Prediction

Improving Robustness of Jet Tagging Algorithms with Adversarial Training

Automatic Debiased Machine Learning for Dynamic Treatment Effects and
  General Nested Functionals

Predicting Peak Day and Peak Hour of Electricity Demand with Ensemble

A Conservative Q-Learning approach for handling distribution shift in
  sepsis treatment strategies

Multi-modal Misinformation Detection: Approaches, Challenges and

Reinforcement Learning with Action-Free Pre-Training from Videos

A Comparative Evaluation Of Transformer Models For De-Identification Of
  Clinical Text Data

Mapping out the thermodynamic stability of a QCD equation of state with
  a critical point using active learning

Semi-supervised machine learning model for analysis of nanowire
  morphologies from transmission electron microscopy images

Self-supervised Semantic Segmentation Grounded in Visual Concepts

Intelligent Masking: Deep Q-Learning for Context Encoding in Medical
  Image Analysis

Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis
  and Prognosis: A Review

Which Generative Adversarial Network Yields High-Quality Synthetic
  Medical Images: Investigation Using AMD Image Datasets

Quantifying Demonstration Quality for Robot Learning and Generalization

Meaningful machine learning models and machine-learned pharmacophores
  from fragment screening campaigns

A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved

Using Old and New Approaches: Determining Physical Properties of Brown
  Dwarfs with Empirical Relations and Machine Learning Models

hate-alert@DravidianLangTech-ACL2022: Ensembling Multi-Modalities for
  Tamil TrollMeme Classification

FLUTE: A Scalable, Extensible Framework for High-Performance Federated
  Learning Simulations

A Hybrid Framework for Sequential Data Prediction with End-to-End

Ensemble Spectral Prediction (ESP) Model for Metabolite Annotation

L3Cube-MahaHate: A Tweet-based Marathi Hate Speech Detection Dataset and
  BERT models

Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion

JAX-FLUIDS: A fully-differentiable high-order computational fluid
  dynamics solver for compressible two-phase flows

Fast fluorescence lifetime imaging analysis via extreme learning machine

High Dimensional Quantum Machine Learning With Small Quantum Computers

FReSCO: Flow Reconstruction and Segmentation for low latency Cardiac
  Output monitoring using deep artifact suppression and segmentation

Stabilizing Adversarially Learned One-Class Novelty Detection Using
  Pseudo Anomalies

LAMBDA: Covering the Solution Set of Black-Box Inequality by Search
  Space Quantization

Clustering Aided Weakly Supervised Training to Detect Anomalous Events
  in Surveillance Videos

Unsupervised Image Deraining: Optimization Model Driven Deep CNN

Speech-enhanced and Noise-aware Networks for Robust Speech Recognition

The TerraByte Client: providing access to terabytes of plant data

ST-FL: Style Transfer Preprocessing in Federated Learning for COVID-19

Flexible development and evaluation of machine-learning-supported
  optimal control and estimation methods via HILO-MPC

Efficient Strong Privacy-Preserving Conjunctive Keyword Search Over
  Encrypted Cloud Data

Common Failure Modes of Subcluster-based Sampling in Dirichlet Process
  Gaussian Mixture Models -- and a Deep-learning Solution

HYDRA: Competing convolutional kernels for fast and accurate time series

Strong Allee effect synaptic plasticity rule in an unsupervised learning
  environment

Understanding the Difficulty of Training Physics-Informed Neural
  Networks on Dynamical Systems

StretchBEV: Stretching Future Instance Prediction Spatially and
  Temporally

Dealing with collinearity in large-scale linear system identification
  using Bayesian regularization

DeLoRes: Decorrelating Latent Spaces for Low-Resource Audio

EmotionNAS: Two-stream Architecture Search for Speech Emotion

Lightweight Graph Convolutional Networks with Topologically Consistent
  Magnitude Pruning

Learning to Adapt to Unseen Abnormal Activities under Weak Supervision

Unsupervised Pre-training for Temporal Action Localization Tasks

Fast and computationally efficient generative adversarial network
  algorithm for unmanned aerial vehicle-based network coverage optimization

ZS4IE: A toolkit for Zero-Shot Information Extraction with simple
  Verbalizations

DeepALM: Holistic Optical Network Monitoring based on Machine Learning

Impact of Dataset on Acoustic Models for Automatic Speech Recognition

Embedding Recurrent Layers with Dual-Path Strategy in a Variant of
  Convolutional Network for Speaker-Independent Speech Separation

Unsupervised Learning of Temporal Abstractions with Slot-based

A Visual Navigation Perspective for Category-Level Object Pose

Improving Question Answering over Knowledge Graphs Using Graph

Deep Learning for Encrypted Traffic Classification and Unknown Data
  Detection

$p$-Generalized Probit Regression and Scalable Maximum Likelihood
  Estimation via Sketching and Coresets

An Intelligent End-to-End Neural Architecture Search Framework for
  Electricity Forecasting Model Development

Neural Networks with Divisive normalization for image segmentation with
  application in cityscapes dataset

Deformable Butterfly: A Highly Structured and Sparse Linear Transform

Feature extraction using Spectral Clustering for Gene Function
  Prediction using Hierarchical Multi-label Classification

Modeling Target-Side Morphology in Neural Machine Translation: A
  Comparison of Strategies

EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing

SeCo: Separating Unknown Musical Visual Sounds with Consistency Guidance

Generalization bounds for learning under graph-dependence: A survey

Multimodal Pre-training Based on Graph Attention Network for Document

Single Model Ensemble for Subword Regularized Models in Low-Resource

BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality
  Speech Synthesis

Analysis of the Production Strategy of Mask Types in the COVID-19

Contrastive learning of Class-agnostic Activation Map for Weakly
  Supervised Object Localization and Semantic Segmentation

Supplemental Material: Lifelong Generative Modelling Using Dynamic
  Expansion Graph Model

Machine-Learning Based Objective Function Selection for Community
  Detection

Big data ethics, machine ethics or information ethics? Navigating the
  maze of applied ethics in IT

Polarization Multiplexed Diffractive Computing: All-Optical
  Implementation of a Group of Linear Transformations Through a
  Polarization-Encoded Diffractive Network

CodeGen: An Open Large Language Model for Code with Multi-Turn Program
  Synthesis

Non-Probability Sampling Network for Stochastic Human Trajectory

RD-Optimized Trit-Plane Coding of Deep Compressed Image Latent Tensors

CAD: Co-Adapting Discriminative Features for Improved Few-Shot

From MIM-Based GAN to Anomaly Detection:Event Probability Influence on

Interpretation of Chest x-rays affected by bullets using deep transfer
  learning

Semi-supervised and Deep learning Frameworks for Video Classification
  and Key-frame Identification

Chaos is a Ladder: A New Theoretical Understanding of Contrastive
  Learning via Augmentation Overlap

A Unified Contrastive Energy-based Model for Understanding the
  Generative Ability of Adversarial Training

CNN LEGO: Disassembling and Assembling Convolutional Neural Network

A Comparative Evaluation of Machine Learning Algorithms for the
  Prediction of R/C Buildings' Seismic Damage

AudioTagging Done Right: 2nd comparison of deep learning methods for
  environmental sound classification

Predicting Clinical Intent from Free Text Electronic Health Records

MDAN: Multi-level Dependent Attention Network for Visual Emotion
  Analysis

Structural Correlates Of Spatial Navigation And Memory Formation

Nash Neural Networks : Inferring Utilities from Optimal Behaviour

Risk-Aware Off-Road Navigation via a Learned Speed Distribution Map

Noisy Boundaries: Lemon or Lemonade for Semi-supervised Instance
  Segmentation?

Trojan Horse Training for Breaking Defenses against Backdoor Attacks in

Modeling Attrition in Recommender Systems with Departing Bandits

Amortized Projection Optimization for Sliced Wasserstein Generative
  Models

Self-Supervised Predictive Learning: A Negative-Free Method for Sound
  Source Localization in Visual Scenes

Reshaping Robot Trajectories Using Natural Language Commands: A Study of
  Multi-Modal Data Alignment Using Transformers

Qualitative neural network approximation over R and C: Elementary proofs
  for analytic and polynomial activation

Multi-scale and Cross-scale Contrastive Learning for Semantic

GPT-D: Inducing Dementia-related Linguistic Anomalies by Deliberate
  Degradation of Artificial Neural Language Models

Using Reinforcement Learning to Study Platform Economies under Market
  Shocks

Automated Algorithm Selection: from Feature-Based to Feature-Free

Probing Representation Forgetting in Supervised and Unsupervised

Statistic Selection and MCMC for Differentially Private Bayesian

Deep reinforcement learning for optimal well control in subsurface
  systems with uncertain geology

Domino: Discovering Systematic Errors with Cross-Modal Embeddings

Gender and Racial Stereotype Detection in Legal Opinion Word Embeddings

Recommendation as Language Processing (RLP): A Unified Pretrain,
  Personalized Prompt & Predict Paradigm (P5)

Predicting Personas Using Mechanic Frequencies and Game State Traces

Non-Parametric Stochastic Policy Gradient with Strategic Retreat for
  Non-Stationary Environment

Interpretability of Neural Network With Physiological Mechanisms

Multi-modal multi-objective model-based genetic programming to find
  multiple diverse high-quality models

Reactive Whole-Body Obstacle Avoidance for Collision-Free Human-Robot
  Interaction with Topological Manifold Learning

Leveraging unsupervised and weakly-supervised data to improve direct
  speech-to-speech translation

Rich Feature Construction for the Optimization-Generalization Dilemma

CLIP-Mesh: Generating textured meshes from text using pretrained
  image-text models

Addressing Client Drift in Federated Continual Learning with Adaptive

Remember and Forget Experience Replay for Multi-Agent Reinforcement
  Learning

Human Gait Recognition Using Bag of Words Feature Representation Method

Deep learning for laboratory earthquake prediction and autoregressive
  forecasting of fault zone stress

Tackling Online One-Class Incremental Learning by Removing Negative
  Contrasts

Multi-modal Multi-label Facial Action Unit Detection with Transformer

Mix and Match: Learning-free Controllable Text Generation using Energy

Learning Spatiotemporal Chaos Using Next-Generation Reservoir Computing

Continuous-Time Audiovisual Fusion with Recurrence vs. Attention for
  In-The-Wild Affect Recognition

Local optimisation of Nyström samples through stochastic gradient
  descent

Dynamically Avoiding Amorphous Obstacles with Topological Manifold
  Learning and Deep Autoencoding

On Exploiting Layerwise Gradient Statistics for Effective Training of

Shoring Up the Foundations: Fusing Model Embeddings and Weak Supervision

EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for
  Monocular Object Pose Estimation

Dexterous Imitation Made Easy: A Learning-Based Framework for Efficient
  Dexterous Manipulation

Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer

VRNet: Learning the Rectified Virtual Corresponding Points for 3D Point
  Cloud Registration

A Representation Separation Perspective to Correspondences-free
  Unsupervised 3D Point Cloud Registration

FedGradNorm: Personalized Federated Gradient-Normalized Multi-Task
  Learning

Distributionally Robust Optimization via Ball Oracle Acceleration

The Cost-Accuracy Trade-Off In Operator Learning With Neural Networks

Emergence of hierarchical reference systems in multi-agent communication

Towards Exemplar-Free Continual Learning in Vision Transformers: an
  Account of Attention, Functional and Weight Regularization

Self-supervised Video-centralised Transformer for Video Face Clustering

On the Kullback-Leibler divergence between pairwise isotropic
  Gaussian-Markov random fields

Learning Hierarchical Cross-Modal Association for Co-Speech Gesture

Multi-armed bandits for online optimization of language model
  pre-training: the use case of dynamic masking

Physics-based Learning of Parameterized Thermodynamics from Real-time
  Thermography

Repairing Group-Level Errors for DNNs Using Weighted Regularization

Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors

Bi-level Optimization for hyperparameters in Nonnegative Matrix
  Factorizations

Intelligent Systematic Investment Agent: an ensemble of deep learning
  and evolutionary strategies

Quantum Computing in the Cloud: Analyzing job and machine
  characteristics

Feature visualization for convolutional neural network models trained on
  neuroimaging data

minicons: Enabling Flexible Behavioral and Representational Analyses of
  Transformer Language Models

Position Tracking using Likelihood Modeling of Channel Features with

Explainable Artificial Intelligence for Exhaust Gas Temperature of
  Turbofan Engines

R-DFCIL: Relation-Guided Representation Learning for Data-Free Class

AziNorm: Exploiting the Radial Symmetry of Point Cloud for
  Azimuth-Normalized 3D Perception

Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized
  Late Interactions using Enhanced Reduction

HiFi++: a Unified Framework for Bandwidth Extension and Speech

Locally Asynchronous Stochastic Gradient Descent for Decentralised Deep
  Learning

The Dutch Draw: Constructing a Universal Baseline for Binary Prediction
  Models

BASiNETEntropy: an alignment-free method for classification of
  biological sequences through complex networks and entropy maximization

Learning Optimal Test Statistics in the Presence of Nuisance Parameters

Multitask Emotion Recognition Model with Knowledge Distillation and Task
  Discriminator

ACE: Towards Application-Centric Edge-Cloud Collaborative Intelligence

SwiftAgg+: Achieving Asymptotically Optimal Communication Loads in
  Secure Aggregation for Federated Learning

Bailando: 3D Dance Generation by Actor-Critic GPT with Choreographic
  Memory

Compositional Temporal Grounding with Structured Variational Cross-Graph

Interpretable Prediction of Pulmonary Hypertension in Newborns using
  Echocardiograms

Augment-Connect-Explore: a Paradigm for Visual Action Planning with Data
  Scarcity

Continuous Emotion Recognition using Visual-audio-linguistic
  information: A Technical Report for ABAW3

The SAGEX Review on Scattering Amplitudes, Chapter 13: Post-Minkowskian
  expansion from Scattering Amplitudes

A Deep-Discrete Learning Framework for Spherical Surface Registration

Hierarchical Nearest Neighbor Graph Embedding for Efficient

Learning Disentangled Representation for One-shot Progressive Face
  Swapping

Human Response to an AI-Based Decision Support System: A User Study on
  the Effects of Accuracy and Bias

Q-PPG: Energy-Efficient PPG-based Heart Rate Monitoring on Wearable
  Devices

Optimal MIMO Combining for Blind Federated Edge Learning with Gradient
  Sparsification

Personalized incentives as feedback design in generalized Nash
  equilibrium problems

Transformers Meet Visual Learning Understanding: A Comprehensive Review

mcBERT: Momentum Contrastive Learning with BERT for Zero-Shot Slot
  Filling

Bioformers: Embedding Transformers for Ultra-Low Power sEMG-based

TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference

Horizon-Free Reinforcement Learning in Polynomial Time: the Power of
  Stationary Policies

Rubik's Cube Operator: A Plug And Play Permutation Module for Better
  Arranging High Dimensional Industrial Data in Deep Convolutional Processes

A Rationale-Centric Framework for Human-in-the-loop Machine Learning

WarpingGAN: Warping Multiple Uniform Priors for Adversarial 3D Point
  Cloud Generation

NPC: Neuron Path Coverage via Characterizing Decision Logic of Deep

k-Rater Reliability: The Correct Unit of Reliability for Aggregated
  Human Annotations

SSGCNet: A Sparse Spectra Graph Convolutional Network for Epileptic EEG
  Signal Classification

Mono vs Multilingual BERT: A Case Study in Hindi and Marathi Named

Can Unsupervised Knowledge Transfer from Social Discussions Help
  Argument Mining?

Application of deep learning in top pair and single top quark production
  at the LHC

RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust
  Correspondence Field Estimation and Pose Optimization

Kullback-Leibler control for discrete-time nonlinear systems on
  continuous spaces

Direct evaluation of progression or regression of disease burden in
  brain metastatic disease with Deep Neuroevolution

Semantic Image Manipulation with Background-guided Internal Learning

Bi-level Doubly Variational Learning for Energy-based Latent Variable
  Models

Bayesian Nonparametric Submodular Video Partition for Robust Anomaly
  Detection

Heterogeneous Ground-Air Autonomous Vehicle Networking in Austere
  Environments: Practical Implementation of a Mesh Network in the DARPA
  Subterranean Challenge

LHNN: Lattice Hypergraph Neural Network for VLSI Congestion Prediction

On Understanding and Mitigating the Dimensional Collapse of Graph
  Contrastive Learning: a Non-Maximum Removal Approach

ViT-FOD: A Vision Transformer based Fine-grained Object Discriminator

On the link between conscious function and general intelligence in
  humans and machines

Two Stage Curvature Identification with Machine Learning: Causal
  Inference with Possibly Invalid Instrumental Variables

Unsupervised Simultaneous Learning for Camera Re-Localization and Depth
  Estimation from Video

A Two-Stage Federated Transfer Learning Framework in Medical Images
  Classification on Limited Data: A COVID-19 Case Study

DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense
  Tensors

Learning the Dynamics of Autonomous Linear Systems From Multiple

Evaluating Distributional Distortion in Neural Language Modeling

Bellman Residual Orthogonalization for Offline Reinforcement Learning

Learning Motion-Dependent Appearance for High-Fidelity Rendering of
  Dynamic Humans from a Single Camera

Efficient Exploration via First-Person Behavior Cloning Assisted
  Rapidly-Exploring Random Trees

Multidimensional Belief Quantification for Label-Efficient Meta-Learning

Asynchronous Reinforcement Learning for Real-Time Control of Physical
  Robots

Mokey: Enabling Narrow Fixed-Point Inference for Out-of-the-Box
  Floating-Point Transformer Models

Adaptive variational algorithms for quantum Gibbs state preparation

SelfAPR: Self-supervised Program Repair with Test Execution Diagnostics

Functional mimicry of Ruffini receptors with Fiber Bragg Gratings and
  Deep Neural Networks enables a bio-inspired large-area tactile sensitive skin

Passive Haptic Rehearsal for Accelerated Piano Skill Acquisition

Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in
  Deep Metric Learning

UMT: Unified Multi-modal Transformers for Joint Video Moment Retrieval
  and Highlight Detection

Accelerating Bayesian Optimization for Biological Sequence Design with
  Denoising Autoencoders

Contextual Model Aggregation for Fast and Robust Federated Learning in

Lessons Learned from Blockchain Applications of Trusted Execution
  Environments and Implications for Future Research

Towards Backwards-Compatible Data with Confounded Domain Adaptation

What to Hide from Your Students: Attention-Guided Masked Image Modeling

Predicting Multi-Antenna Frequency-Selective Channels via Meta-Learned
  Linear Filters based on Long-Short Term Channel Decomposition

Adversarial Training for Improving Model Robustness? Look at Both
  Prediction and Interpretation

Assessing dengue fever risk in Costa Rica by using climate variables and
  machine learning techniques

Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image

On Understanding the Influence of Controllable Factors with a Feature
  Attribution Algorithm: a Medical Case Study

Enhancing Classifier Conservativeness and Robustness by Polynomiality

Measuring the Impact of Taxes and Public Services on Property Values: A
  Double Machine Learning Approach

Learning to generate line drawings that convey geometry and semantics

Possibility Before Utility: Learning And Using Hierarchical Affordances

Spectral Projected Subgradient Method for Nonsmooth Convex Optimization
  Problems

Sample-efficient Iterative Lower Bound Optimization of Deep Reactive
  Policies for Planning in Continuous MDPs

Competency Assessment for Autonomous Agents using Deep Generative Models

A Machine Learning Approach to Correct for Mass Resolution Effects in
  Simulated Halo Clustering Statistics

Powerful Physical Adversarial Examples Against Practical Face

A Supervised Machine Learning Approach for Sequence Based
  Protein-protein Interaction (PPI) Prediction

Computed Tomography Reconstruction using Generative Energy-Based Priors

Iterative Implicit Gradients for Nonconvex Optimization with Variational
  Inequality Constraints

Predicting the location of shear band initiation in a metallic glass

Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary

Unsupervised Pre-Training on Patient Population Graphs for Patient-Level

StructToken : Rethinking Semantic Segmentation with Structural Prior

AI Poincaré 2.0: Machine Learning Conservation Laws from

Mitigating Gender Bias in Distilled Language Models via Counterfactual
  Role Reversal

Your "Attention" Deserves Attention: A Self-Diversified Multi-Channel
  Attention for Facial Action Analysis

A Top-down Supervised Learning Approach to Hierarchical Multi-label
  Classification in Networks

DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic
  Change Segmentation

A Scalable Model Specialization Framework for Training and Inference
  using Submodels and its Application to Speech Model Personalization

GriTS: Grid table similarity metric for table structure recognition

Constrained Clustering and Multiple Kernel Learning without Pairwise
  Constraint Relaxation

Explaining Practical Differences Between Treatment Effect Estimators
  with High Dimensional Asymptotics

Socially Fair Mitigation of Misinformation on Social Networks via
  Constraint Stochastic Optimization

Dynamically Refined Regularization for Improving Cross-corpora Hate
  Speech Detection

A Deep Learning Approach to Probabilistic Forecasting of Weather

Refine-Net: Normal Refinement Neural Network for Noisy Point Clouds

Sensing Theorems for Unsupervised Learning in Linear Inverse Problems

A Spatial-Temporal Attention Multi-Graph Convolution Network for
  Ride-Hailing Demand Prediction Based on Periodicity with Offset

An Example of the SAM+ Algorithm for Learning Action Models for
  Stochastic Worlds

Prompt-based System for Personality and Interpersonal Reactivity

3D Adapted Random Forest Vision (3DARFV) for Untangling
  Heterogeneous-Fabric Exceeding Deep Learning Semantic Segmentation Efficiency
  at the Utmost Accuracy

Importance Sampling CAMs for Weakly-Supervised Segmentation with Highly
  Accurate Contours

Assessing Network Representations for Identifying Interdisciplinarity

MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation
  with Limited Source Labels

Machine learning aided atomic structure identification of interfacial
  ionic hydrates from atomic force microscopy images

U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture
  Search

Verification of safety critical control policies using kernel methods

A Levenberg-Marquardt algorithm for sparse identification of dynamical
  systems

MetricGAN+/-: Increasing Robustness of Noise Reduction on Unseen Data

Ethereum Fraud Detection with Heterogeneous Graph Neural Networks

MONAI Label: A framework for AI-assisted Interactive Labeling of 3D

Bayesian Physics-Informed Neural Networks for the Subsurface Tomography
  based on the Eikonal Equation

Robust Text Line Detection in Historical Documents: Learning and
  Evaluation Methods

How Do You Do It? Fine-Grained Action Understanding with Pseudo-Adverbs

Towards Semi-Supervised Deep Facial Expression Recognition with An
  Adaptive Confidence Margin

Towards explaining the generalization gap in neural networks using
  topological data analysis

The BP Dependency Function: a Generic Measure of Dependence between
  Random Variables

Learning based Channel Estimation and Phase Noise Compensation in
  Doubly-Selective Channels

MR Image Denoising and Super-Resolution Using Regularized Reverse
  Diffusion

The state-of-the-art review on resource allocation problem using
  artificial intelligence methods on various computing paradigms

Wider or Deeper Neural Network Architecture for Acoustic Scene
  Classification with Mismatched Recording Devices

Deep Channel Prediction: A DNN Framework for Receiver Design in
  Time-Varying Fading Channels

Evaluation of Non-Invasive Thermal Imaging for detection of Viability of
  Onchocerciasis worms

Increasing the accuracy and resolution of precipitation forecasts using
  deep generative models

Advanced Skills through Multiple Adversarial Motion Priors in

Cell segmentation from telecentric bright-field transmitted light
  microscopy images using a Residual Attention U-Net: a case study on HeLa line

Visual explanations for polyp detection: How medical doctors assess
  intrinsic versus extrinsic explanations

Mining Latent Relationships among Clients: Peer-to-peer Federated
  Learning with Adaptive Neighbor Matching

Efficient Fully Distributed Federated Learning with Adaptive Local Links

Unified Structure Generation for Universal Information Extraction

ERNIE-SPARSE: Learning Hierarchical Efficient Transformer Through
  Regularized Self-Attention

PEAR: Personalized Re-ranking with Contextualized Transformer for

Feasibility of nowcasting SDG indicators: a comprehensive survey

Impact of initial outbreak locations on transmission risk of infectious
  diseases in an intra-urban area

Node Representation Learning in Graph via Node-to-Neighbourhood Mutual
  Information Maximization

DPST: De Novo Peptide Sequencing with Amino-Acid-Aware Transformers

New Distinguishers for Negation-Limited Weak Pseudorandom Functions

Scale-Equivalent Distillation for Semi-Supervised Object Detection

A Method of Data Augmentation to Train a Small Area Fingerprint
  Recognition Deep Neural Network with a Normal Fingerprint Database

A Multi-Characteristic Learning Method with Micro-Doppler Signatures for
  Pedestrian Identification

Geometry-Aware Supertagging with Heterogeneous Dynamic Convolutions

Negative Selection by Clustering for Contrastive Learning in Human

Modality Competition: What Makes Joint Training of Multi-modal Network
  Fail in Deep Learning? (Provably)

Physics-Driven Deep Learning for Computational Magnetic Resonance
  Imaging

Supporting Developers in Addressing Human-centric Issues in Mobile Apps

Integrating Vectorized Lexical Constraints for Neural Machine

Self-supervised Learning of Adversarial Example: Towards Good
  Generalizations for Deepfake Detection

Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With

Towards Expressive Speaking Style Modelling with Hierarchical Context
  Information for Mandarin Speech Synthesis

Privacy-Preserving Personalized Fitness Recommender System (P3FitRec): A
  Multi-level Deep Learning Approach

Biceph-Net: A robust and lightweight framework for the diagnosis of
  Alzheimer's disease using 2D-MRI scans and deep similarity learning

Safe and Efficient Model Predictive Control Using Neural Networks: An
  Interior Point Approach

Self-Supervised Robust Scene Flow Estimation via the Alignment of
  Probability Density Functions

Graph Neural Networks in Particle Physics: Implementations, Innovations,

AbductionRules: Training Transformers to Explain Unexpected Inputs

A Theoretically Grounded Benchmark for Evaluating Machine Commonsense

Semi-Supervised Hybrid Spine Network for Segmentation of Spine MR Images

Out of Distribution Detection, Generalization, and Robustness Triangle
  with Maximum Probability Theorem

Online Encrypted Skype Identification Based on an Updating Mechanism

Wasserstein Distributionally Robust Optimization with Wasserstein
  Barycenters

Congestion-aware path coordination game with Markov decision process
  dynamics

Should Machine Learning Models Report to Us When They Are Clueless?

Contrastive Transformer-based Multiple Instance Learning for Weakly
  Supervised Polyp Frame Detection

NovGrid: A Flexible Grid World for Evaluating Agent Response to Novelty

An Optical Controlling Environment and Reinforcement Learning Benchmarks

Lymphocyte Classification in Hyperspectral Images of Ovarian Cancer
  Tissue Biopsy Samples

Muscle Vision: Real Time Keypoint Based Pose Classification of Physical
  Exercises

An Empirical Study on Learning and Improving the Search Objective for
  Unsupervised Paraphrasing

Fast on-line signature recognition based on VQ with time modeling

Adaptive movement strategy may promote biodiversity in the
  rock-paper-scissors model

Learning by non-interfering feedback chemical signaling in physical
  networks

Hardware Watermarking for Finite State Machines, with Symmetric Circuit
  Encryption

FxP-QNet: A Post-Training Quantizer for the Design of Mixed
  Low-Precision DNNs with Dynamic Fixed-Point Representation

Low-Dimensional Analysis of a Kuramoto Model with Inertia and Hebbian
  Learning

DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning
  for Histopathology Whole Slide Image Classification

Optimistic Mirror Descent Either Converges to Nash or to Strong Coarse
  Correlated Equilibria in Bimatrix Games

Dozer: Migrating Shell Commands to Ansible Modules via Execution
  Profiling and Synthesis

Self-supervision through Random Segments with Autoregressive Coding
  (RandSAC)

Upmixing via style transfer: a variational autoencoder for disentangling
  spatial images and musical content

Review of Metrics to Measure the Stability, Robustness and Resilience of

NNReArch: A Tensor Program Scheduling Framework Against Neural Network
  Architecture Reverse Engineering

Machine Learning Testing in an ADAS Case Study Using
  Simulation-Integrated Bio-Inspired Search-Based Testing

OSSCAR, an open platform for collaborative development of computational
  tools for education in science

Image Compression and Actionable Intelligence With Deep Neural Networks

Merging Knockout and Round-Robin Tournaments: A Flexible Linear
  Elimination Tournament Design

Text Transformations in Contrastive Self-Supervised Learning: A Review

Federated Self-Supervised Learning for Acoustic Event Classification

Resonance in Weight Space: Covariate Shift Can Drive Divergence of SGD
  with Momentum

Joint Feature Learning and Relation Modeling for Tracking: A One-Stream
  Framework

A general classification scheme of detecting spatial and dynamical
  heterogeneities in super-cooled liquids

Scalable Deep Reinforcement Learning Algorithms for Mean Field Games

Realistic galaxy images and improved robustness in machine learning
  tasks from generative modelling

A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models
  with Adversarial Learning

Toward the End-to-End Optimization of Particle Physics Instruments with
  Differentiable Programming: a White Paper

On Supervised Feature Selection from High Dimensional Feature Spaces

SPRITE: A Scalable Privacy-Preserving and Verifiable Collaborative
  Learning for Industrial IoT

What can we Learn Even From the Weakest? Learning Sketches for
  Programmatic Strategies

Enabling faster and more reliable sonographic assessment of gestational
  age through machine learning

Multiple Estimation Models for Discrete-time Adaptive Iterative Learning
  Control

Evolution Autoencodes Life's Interactions as Species that are Decoded
  into Ecosystems

Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future

Neural manifold analysis of brain circuit dynamics in health and disease

Performance of long short-term memory artificial neural networks in
  nowcasting during the COVID-19 crisis

An Optimal Transport Formulation of Bayes' Law for Nonlinear Filtering

On the (Non-)Robustness of Two-Layer Neural Networks in Different
  Learning Regimes

Supervised and Unsupervised Machine Learning of Structural Phases of
  Polymers Adsorbed to Nanowires

Practical tradeoffs between memory, compute, and performance in learned
  optimizers

A Computational Approach to Understand Mental Health from Reddit:
  Knowledge-aware Multitask Learning Framework

Sionna: An Open-Source Library for Next-Generation Physical Layer
  Research

A Survey on Techniques for Identifying and Resolving Representation Bias
  in Data

A Girl Has A Name, And It's ... Adversarial Authorship Attribution for
  Deobfuscation

X-MEN: Guaranteed XOR-Maximum Entropy Constrained Inverse Reinforcement
  Learning

A Real-time Junk Food Recognition System based on Machine Learning

Improving Generalization in Federated Learning by Seeking Flat Minima

Provable Constrained Stochastic Convex Optimization with XOR-Projected

Explainable Landscape Analysis in Automated Algorithm Performance

A Broad Study of Pre-training for Domain Generalization and Adaptation

Clustering units in neural networks: upstream vs downstream information

Neural System Level Synthesis: Learning over All Stabilizing Policies
  for Nonlinear Systems

A New Approach to Improve Learning-based Deepfake Detection in Realistic
  Conditions

A Novel Framework for Assessment of Learning-based Detectors in
  Realistic Conditions with Application to Deepfake Detection

A Perspective on Neural Capacity Estimation: Viability and Reliability

Learning Program Semantics with Code Representations: An Empirical Study

Estimation of speaker age and height from speech signal using bi-encoder
  transformer mixture model

Testing Non-Standard Interactions Between Solar Neutrinos and Quarks
  with Super-Kamiokande

Linear convergence of a policy gradient method for finite horizon
  continuous time stochastic control problems

FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling
  and Correction

A Quantitative Comparison between Shannon and Tsallis Havrda Charvat
  Entropies Applied to Cancer Outcome Prediction

Convolutional Neural Network to Restore Low-Dose Digital Breast
  Tomosynthesis Projections in a Variance Stabilization Domain

A Bayesian Approach for Shaft Centre Localisation in Journal Bearings

CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation

BERT-ASC: Implicit Aspect Representation Learning through
  Auxiliary-Sentence Construction for Sentiment Analysis

End-to-End Learned Block-Based Image Compression with Block-Level Masked
  Convolutions and Asymptotic Closed Loop Training

Twin Weisfeiler-Lehman: High Expressive GNNs for Graph Classification

Improving Meta-learning for Low-resource Text Classification and
  Generation via Memory Imitation

Are You Misinformed? A Study of Covid-Related Fake News in Bengali on
  Facebook

A Decentralised Multi-Agent Reinforcement Learning Approach for the
  Same-Day Delivery Problem

Is Vanilla Policy Gradient Overlooked? Analyzing Deep Reinforcement
  Learning for Hanabi

Transferring Multi-Agent Reinforcement Learning Policies for Autonomous
  Driving using Sim-to-Real

Performance Evaluation of Machine Learning-based Algorithm and Taguchi
  Algorithm for the Determination of the Hardness Value of the Friction Stir
  Welded AA 6262 Joints at a Nugget Zone

Learning Relation-Specific Representations for Few-shot Knowledge Graph

Look for the Change: Learning Object States and State-Modifying Actions
  from Untrimmed Web Videos

Feature Distribution Matching for Federated Domain Generalization

Semi-Targeted Model Poisoning Attack on Federated Learning via Backward
  Error Analysis

QS-Craft: Learning to Quantize, Scrabble and Craft for Conditional Human
  Motion Animation

Bounds on Wasserstein distances between continuous distributions using
  independent samples

High-resolution Iterative Feedback Network for Camouflaged Object
  Detection

An Online Learning Approach to Shortest Path and Backpressure Routing in

Network state Estimation using Raw Video Analysis: vQoS-GAN based
  non-intrusive Deep Learning Approach

Analysis of Disfluencies for automatic detection of Mild Cognitive
  Impartment: a deep learning approach

Domain Knowledge Aids in Signal Disaggregation; the Example of the
  Cumulative Water Heater

Distributed Learning for Vehicular Dynamic Spectrum Access in Autonomous
  Driving

Unified Negative Pair Generation toward Well-discriminative Feature
  Space for Face Recognition

HOP: History-and-Order Aware Pre-training for Vision-and-Language

IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding
  Alignment

Utterance Rewriting with Contrastive Learning in Multi-turn Dialogue

Local Stochastic Factored Gradient Descent for Distributed Quantum State

Fast Multi-view Clustering via Ensembles: Towards Scalability,
  Superiority, and Simplicity

Conditional Generative Data Augmentation for Clinical Audio Datasets

Multi-layer Clustering-based Residual Sparsifying Transform for Low-dose
  CT Image Reconstruction

Reinforcement-based frugal learning for satellite image change detection

A Text-to-Speech Pipeline, Evaluation Methodology, and Initial
  Fine-Tuning Results for Child Speech Synthesis

Modelling continual learning in humans with Hebbian context gating and
  exponentially decaying task signals

Frugal Learning of Virtual Exemplars for Label-Efficient Satellite Image

Gradient flows and randomised thresholding: sparse inversion and

Explainability in reinforcement learning: perspective and position

Rapidly encoding generalizable dynamics in a Euclidean symmetric neural
  network: a Slinky case study

TransSleep: Transitioning-aware Attention-based Deep Neural Network for
  Sleep Staging

Mask Usage Recognition using Vision Transformer with Transfer Learning
  and Data Augmentation

Convolutional Neural Network-based Efficient Dense Point Cloud
  Generation using Unsigned Distance Fields

Out-of-distribution Generalization with Causal Invariant Transformations

Action Candidate Driven Clipped Double Q-learning for Discrete and
  Continuous Action Tasks

How to Read the Snowmass White Papers on Power Dynamics in Physics,
  Informal Socialization in Physics Training, and Policing and Gatekeeping in
  STEM

Adaptative clustering by minimization of the mixing entropy criterion

Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity

Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition

Joint Noise Reduction and Listening Enhancement for Full-End Speech

FrameHopper: Selective Processing of Video Frames in Detection-driven
  Real-Time Video Analytics

Exploring High-Order Structure for Robust Graph Structure Learning

Making Recommender Systems Forget: Learning and Unlearning for Erasable

A Note on Target Q-learning For Solving Finite MDPs with A Generative
  Oracle

Approaches for Improving the Performance of Fake News Detection in
  Bangla: Imbalance Handling and Model Stacking

How Interest-Driven Content Creation Shapes Opportunities for Informal
  Learning in Scratch: A Case Study on Novices' Use of Data Structures

Modeling speech recognition and synthesis simultaneously: Encoding and
  decoding lexical and sublexical semantic information into speech with no
  direct access to speech data

BigBird: Big Data Storage and Analytics at Scale in Hybrid Cloud

Locally Adaptive Transfer Learning Algorithms for Large-Scale Multiple
  Testing

Hierarchical Graph Representation Learning for the Prediction of
  Drug-Target Binding Affinity

Root-aligned SMILES: A Tight Representation for Chemical Reaction

Demo of the Linguistic Field Data Management and Analysis System -- LiFE

Multi-Modal Learning for AU Detection Based on Multi-Head Fused

Regional medical inter-institutional cooperation in medical provider
  network constructed using patient claims data from Japan

Self-Supervised Representation Learning as Multimodal Variational
  Inference

Making DeepFakes more spurious: evading deep face forgery detection via
  trace removal attack

Gated Domain-Invariant Feature Disentanglement for Domain Generalizable

Towards Abstractive Grounded Summarization of Podcast Transcripts

Accelerating Model-Free Policy Optimization Using Model-Based Gradient:
  A Composite Optimization Perspective

Learning Confidence for Transformer-based Neural Machine Translation

Dazzle: Using Optimized Generative Adversarial Networks to Address
  Security Data Class Imbalance Issue

A Primer on Maximum Causal Entropy Inverse Reinforcement Learning

Suum Cuique: Studying Bias in Taboo Detection with a Community

VLSP 2021 - ViMRC Challenge: Vietnamese Machine Reading Comprehension

Towards Textual Out-of-Domain Detection without In-Domain Labels

Survival Analysis for Idiopathic Pulmonary Fibrosis using CT Images and
  Incomplete Clinical Data

Optimizing Binary Decision Diagrams with MaxSAT for classification

Preference Exploration for Efficient Bayesian Optimization with Multiple
  Outcomes

A Bayesian Deep Learning Technique for Multi-Step Ahead Solar Generation

Two methods for Jamming Identification in UAVs Networks using New
  Synthetic Dataset

Temporal Abstractions-Augmented Temporally Contrastive Learning: An
  Alternative to the Laplacian in RL

An Information-theoretic Approach to Prompt Engineering Without Ground
  Truth Labels

PI-VAE: Physics-Informed Variational Auto-Encoder for stochastic

Origami in N dimensions: How feed-forward networks manufacture linear

Global Matching with Overlapping Attention for Optical Flow Estimation

Training Quantised Neural Networks with STE Variants: the Additive Noise
  Annealing Algorithm

Alarm-Based Root Cause Analysis in Industrial Processes Using Deep
  Learning

The Change that Matters in Discourse Parsing: Estimating the Impact of
  Domain Shift on Parser Error

Faster Asynchronous Nonconvex Block Coordinate Descent with Locally
  Chosen Stepsizes

Generative Adversarial Network for Future Hand Segmentation from
  Egocentric Video

Benchmarking Test-Time Unsupervised Deep Neural Network Adaptation on

Automated detection of foreground speech with wearable sensing in
  everyday home environments: A transfer learning approach

PCA-RF: An Efficient Parkinson's Disease Prediction Model based on
  Random Forest Classification

A Contrastive Objective for Learning Disentangled Representations

A survey on GANs for computer vision: Recent research, analysis and
  taxonomy

Generating Fast and Slow: Scene Decomposition via Reconstruction

Relevant CommonSense Subgraphs for "What if..." Procedural Reasoning

Masked Discrimination for Self-Supervised Learning on Point Clouds

Physics-driven Synthetic Data Learning for Biomedical Magnetic Resonance

One After Another: Learning Incremental Skills for a Changing World

Flow-matching -- efficient coarse-graining of molecular dynamics without
  forces

Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via
  Cross-modal Distillation

Teaching language models to support answers with verified quotes

Multispectral Satellite Data Classification using Soft Computing
  Approach

Can we integrate spatial verification methods into neural-network loss
  functions for atmospheric science?

Not All Points Are Equal: Learning Highly Efficient Point-based
  Detectors for 3D LiDAR Point Clouds

Work-From-Home is Here to Stay: Call for Flexibility in Post-Pandemic
  Work Policies

Photons guided by axons may enable backpropagation-based learning in the
  brain

Review of Disentanglement Approaches for Medical Applications -- Towards
  Solving the Gordian Knot of Generative Models in Healthcare

Towards Explainable Evaluation Metrics for Natural Language Generation

A Comprehensive Survey of Spectrum Sharing Schemes from a
  Standardization and Implementation Perspective

BEFANA: A Tool for Biodiversity-Ecosystem Functioning Assessment by
  Network Analysis

Gene expression noise accelerates the evolution of a biological
  oscillator

No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static
  Models by Fitting Feature-level Space-time Surfaces

Facial Expression Analysis Using Decomposed Multiscale Spatiotemporal
  Networks

FGAN: Federated Generative Adversarial Networks for Anomaly Detection in
  Network Traffic

Diverse Counterfactual Explanations for Anomaly Detection in Time Series

CLIP meets GamePhysics: Towards bug identification in gameplay videos
  using zero-shot transfer learning

PersFormer: 3D Lane Detection via Perspective Transformer and the
  OpenLane Benchmark

Ovid: A Machine Learning Approach for Automated Vandalism Detection in
  OpenStreetMap

Telling Stories from Computational Notebooks: AI-Assisted Presentation
  Slides Creation for Presenting Data Science Work

MTBF-33: A multi-temporal building footprint dataset for 33 counties in
  the United States (1900-2015)

Collaborative Learning for Cyberattack Detection in Blockchain Networks

Distributed Stochastic Compositional Optimization Problems over Directed
  Networks

From Concept Drift to Model Degradation: An Overview on
  Performance-Aware Drift Detectors

Learning Enriched Illuminants for Cross and Single Sensor Color
  Constancy

Optimizing Revenue Maximization and Demand Learning in Airline Revenue
  Management

Non-Functional Requirements for Machine Learning: An Exploration of
  System Scope and Interest

DSP-Packing: Squeezing Low-precision Arithmetic into FPGA DSP Blocks

ME-Net: Multi-Encoder Net Framework for Brain Tumor Segmentation

Voltage-Dependent Synaptic Plasticity (VDSP): Unsupervised probabilistic
  Hebbian plasticity rule based on neurons membrane potential

Sparse inference and active learning of stochastic differential
  equations from data

Online Skeleton-based Action Recognition with Continual Spatio-Temporal

Computational ergonomics for task delegation in Human-Robot
  Collaboration: spatiotemporal adaptation of the robot to the human through
  contactless gesture recognition

Underwater Light Field Retention : Neural Rendering for Underwater
  Imaging

Probabilistic prediction of Dst storms one-day-ahead using Full-Disk
  SoHO Images

ImageNet Challenging Classification with the Raspberry Pi: An
  Incremental Local Stochastic Gradient Descent Algorithm

Optimal Fine-Grained N:M sparsity for Activations and Neural Gradients

Hierarchical autoregressive neural networks for statistical systems

LQoCo: Learning to Optimize Cache Capacity Overloading in Storage
  Systems

Less Is More: Efficient Networked VR Transformation Handling Using
  Geometric Algebra

BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks
  with Partition-Parallelism and Random Boundary Node Sampling

Sequential time-window learning with approximate Bayesian computation:
  an application to epidemic forecasting

MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer

GCF: Generalized Causal Forest for Heterogeneous Treatment Effect
  Estimation in Online Marketplace

A Local Convergence Theory for the Stochastic Gradient Descent Method in
  Non-Convex Optimization With Non-isolated Local Minima

PTM4Tag: Sharpening Tag Recommendation of Stack Overflow Posts with

ReCCoVER: Detecting Causal Confusion for Explainable Reinforcement
  Learning

Optimizing Trajectories for Highway Driving with Offline Reinforcement
  Learning

3D Multi-Object Tracking Using Graph Neural Networks with Cross-Edge
  Modality Attention

Learning Occlusion-Aware Coarse-to-Fine Depth Map for Self-supervised
  Monocular Depth Estimation

TinyMLOps: Operational Challenges for Widespread Edge AI Adoption

Optimality conditions for nonsmooth nonconvex-nonconcave min-max
  problems and generative adversarial networks

Quad2Plane: An Intermediate Training Procedure for Online Exploration in
  Aerial Robotics via Receding Horizon Control

Disentangling Patterns and Transformations from One Sequence of Images
  with Shape-invariant Lie Group Transformer

Document-Level Relation Extraction with Adaptive Focal Loss and

Revisiting Domain Generalized Stereo Matching Networks from a Feature
  Consistency Perspective

ELIC: Efficient Learned Image Compression with Unevenly Grouped
  Space-Channel Contextual Adaptive Coding

On the Effect of Pre-Processing and Model Complexity for Plastic
  Analysis Using Short-Wave-Infrared Hyper-Spectral Imaging

Efficient Remote Photoplethysmography with Temporal Derivative Modules
  and Time-Shift Invariant Loss

Unsupervised Heterophilous Network Embedding via r-Ego Network

Multi-class Label Noise Learning via Loss Decomposition and Centroid

Multitask Neuroevolution for Reinforcement Learning with Long and Short
  Episodes

The GALAH Survey: A New Sample of Extremely Metal-Poor Stars Using A
  Machine Learning Classification Algorithm

Multi-class versus One-class classifier in spontaneous speech analysis
  oriented to Alzheimer Disease diagnosis

Hyperbolic Vision Transformers: Combining Improvements in Metric
  Learning

Perceptual Features as Markers of Parkinson's Disease: The Issue of
  Clinical Interpretability

Long Short-Term Memory for Spatial Encoding in Multi-Agent Path Planning

Sem2NeRF: Converting Single-View Semantic Masks to Neural Radiance
  Fields

Proximal Policy Optimization-based Transmit Beamforming and Phase-shift
  Design in an IRS-aided ISAC System for the THz Band

AnoViT: Unsupervised Anomaly Detection and Localization with Vision
  Transformer-based Encoder-Decoder

Longitudinal Self-Supervision for COVID-19 Pathology Quantification

Graph Neural Networks for Wireless Communications: From Theory to
  Practice

Human-Centric Artificial Intelligence Architecture for Industry 5.0

Domain Generalization by Mutual-Information Regularization with

Classifications of Skull Fractures using CT Scan Images via CNN with
  Lazy Learning Approach

GroupTransNet: Group Transformer Network for RGB-D Salient Object
  Detection

Delving into the Estimation Shift of Batch Normalization in a Network

K-space and Image Domain Collaborative Energy based Model for Parallel
  MRI Reconstruction

Slice Imputation: Intermediate Slice Interpolation for Anisotropic 3D

Intelligent control of a single-link flexible manipulator using sliding
  modes and artificial neural networks

ASE: Anomaly Scoring Based Ensemble Learning for Imbalanced Datasets

Performance-Robustness Tradeoffs in Adversarially Robust
  Linear-Quadratic Control

A Slot Is Not Built in One Utterance: Spoken Language Dialogs with
  Sub-Slots

Match the Script, Adapt if Multilingual: Analyzing the Effect of
  Multilingual Pretraining on Cross-lingual Transferability

WeSinger: Data-augmented Singing Voice Synthesis with Auxiliary Losses

STCGAT: A Spatio-temporal Causal Graph Attention Network for traffic
  flow prediction in Intelligent Transportation Systems

The activity-weight duality in feed forward neural networks: The
  geometric determinants of generalization

The Research Based Learning -- STEM Learning Activities: The Use of
  r-Dynamic Coloring to Improve the Students Metaliteracy in Solving a
  Tessellation Decoration Problem

An Intermediate-level Attack Framework on The Basis of Linear Regression

Prediction Algorithm for Heat Demand of Science and Technology Topics
  Based on Time Convolution Network

An Intellectual Property Entity Recognition Method Based on Transformer
  and Technological Word Information

Forecast Evaluation for Data Scientists: Common Pitfalls and Best
  Practices

A Comprehensive Review on Blockchains for Internet of Vehicles:
  Challenges and Directions

Monocular Vision-based Prediction of Cut-in Maneuvers with LSTM Networks

Compression of Generative Pre-trained Language Models via Quantization

HP-Capsule: Unsupervised Face Part Discovery by Hierarchical Parsing
  Capsule Network

CNN Attention Guidance for Improved Orthopedics Radiographic Fracture

Tactile Pose Estimation and Policy Learning for Unknown Object

SweiNet: Deep Learning Based Uncertainty Quantification for Ultrasound
  Shear Wave Elasticity Imaging

Repairing Brain-Computer Interfaces with Fault-Based Data Acquisition

Mitigating Gender Bias in Machine Translation through Adversarial
  Learning

Continual Sequence Generation with Adaptive Compositional Modules

Nonstationary Temporal Matrix Factorization for Multivariate Time Series

A Framework for Automating Deployment and Evaluation of Blockchain
  Network

Breast Cancer Induced Bone Osteolysis Prediction Using Temporal
  Variational Auto-Encoders

Delta Keyword Transformer: Bringing Transformers to the Edge through
  Dynamically Pruned Multi-Head Self-Attention

Multimodal learning-based inversion models for the space-time
  reconstruction of satellite-derived geophysical fields

Transform your Smartphone into a DSLR Camera: Learning the ISP in the
  Wild

Explicit User Manipulation in Reinforcement Learning Based Recommender
  Systems

Automated Detection of Acute Promyelocytic Leukemia in Blood Films and
  Bone Marrow Aspirates with Annotation-free Deep Learning

Multi-Modal Learning Using Physicians Diagnostics for Optical Coherence
  Tomography Classification

Differentiable Reasoning over Long Stories -- Assessing Systematic
  Generalisation in Neural Models

Phase Recognition in Contrast-Enhanced CT Scans based on Deep Learning
  and Random Sampling

Hierarchical Reinforcement Learning of Locomotion Policies in Response
  to Approaching Objects: A Preliminary Study

VinDr-Mammo: A large-scale benchmark dataset for computer-aided
  diagnosis in full-field digital mammography

Does DQN really learn? Exploring adversarial training schemes in Pong

VinDr-PCXR: An open, large-scale chest radiograph dataset for
  interpretation of common thoracic diseases in children

Learning from Multiple Expert Annotators for Enhancing Anomaly Detection
  in Medical Image Analysis

Transparency strategy-based data augmentation for BI-RADS classification
  of mammograms

Convergence rates of the stochastic alternating algorithm for
  bi-objective optimization

Model-based Multi-agent Reinforcement Learning: Recent Progress and
  Prospects

Towards Clinical Practice: Design and Implementation of Convolutional
  Neural Network-Based Assistive Diagnosis System for COVID-19 Case Detection
  from Chest X-Ray Images

Open-Vocabulary One-Stage Detection with Hierarchical Visual-Language

Geometric Methods for Sampling, Optimisation, Inference and Adaptive
  Agents

Neuro-physical dynamic load modeling using differentiable parametric

Cluster & Tune: Boost Cold Start Performance in Text Classification

Multi-view Multi-behavior Contrastive Learning in Recommendation

Distributionally robust risk evaluation with causality constraint and
  structural information

Self-supervised Point Cloud Completion on Real Traffic Scenes via
  Scene-concerned Bottom-up Mechanism

LEReg: Empower Graph Neural Networks with Local Energy Regularization

A Learning Convolutional Neural Network Approach for Network Robustness

Iwin: Human-Object Interaction Detection via Transformer with Irregular
  Windows

Recognising the importance of preference change: A call for a
  coordinated multidisciplinary research effort in the age of AI

Explainable Misinformation Detection Across Multiple Social Media
  Platforms

Reinforcement learning reward function in unmanned aerial vehicle
  control tasks

Learning on the Job: Long-Term Behavioural Adaptation in Human-Robot

Learning Whole Heart Mesh Generation From Patient Images For
  Computational Simulations

An Adaptive and Scalable ANN-based Model-Order-Reduction Method for
  Large-Scale TO Designs

Soft-CP: A Credible and Effective Data Augmentation for Semantic
  Segmentation of Medical Lesions

Fundamental Trackability Problems for Iterative Learning Control

MicroRacer: a didactic environment for Deep Reinforcement Learning

SimAN: Exploring Self-Supervised Representation Learning of Scene Text
  via Similarity-Aware Normalization

Identification of Coronal Holes on AIA/SDO images using unsupervised

Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A
  Survey

Federated Spatial Reuse Optimization in Next-Generation Decentralized
  IEEE 802.11 WLANs

Inspection-L: Self-Supervised GNN Node Embeddings for Money Laundering
  Detection in Bitcoin

Unidirectional Thin Adapter for Efficient Adaptation of Deep Neural
  Networks

simCrossTrans: A Simple Cross-Modality Transfer Learning for Object
  Detection with ConvNets or Vision Transformers

Deep Learning based Intelligent Coin-tap Test for Defect Recognition

ZOOMER: Boosting Retrieval on Web-scale Graphs by Regions of Interest

Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal
  Transport

Perceiving the World: Question-guided Reinforcement Learning for
  Text-based Games

Over-parameterization: A Necessary Condition for Models that Extrapolate

VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning

Quantum Multi-Agent Reinforcement Learning via Variational Quantum
  Circuit Design

Towards Structuring Real-World Data at Scale: Deep Learning for
  Extracting Key Oncology Information from Clinical Text with Patient-Level

Interpretability of Fine-grained Classification of Sadness and
  Depression

g2pW: A Conditional Weighted Softmax BERT for Polyphone Disambiguation
  in Mandarin

PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks
  with Pipelined Feature Communication

STEMM: Self-learning with Speech-text Manifold Mixup for Speech

A Study on Robustness to Perturbations for Representations of
  Environmental Sound

Subspace Modeling for Fast Out-Of-Distribution and Anomaly Detection

CLIP on Wheels: Zero-Shot Object Navigation as Object Localization and

Attri-VAE: attribute-based, disentangled and interpretable
  representations of medical images with variational autoencoders

How does the pre-training objective affect what large language models
  learn about linguistic properties?

Language-Preserving Reduction Rules for Block-Structured Workflow Nets

Anomaly Detection in Emails using Machine Learning and Header

Reinforcement learning for automatic quadrilateral mesh generation: a
  soft actor-critic approach

Towards Robust Semantic Segmentation of Accident Scenes via Multi-Source
  Mixed Sampling and Meta-Learning

PhysioMTL: Personalizing Physiological Patterns using Optimal Transport
  Multi-Task Regression

Deep Learning Generalization, Extrapolation, and Over-parameterization

Multi-Domain Multi-Definition Landmark Localization for Small Datasets

The Sandbox Environment for Generalizable Agent Research (SEGAR)

Machine learning for impurity charge-state transition levels in
  semiconductors from elemental properties using multi-fidelity datasets

Perturbations in the Wild: Leveraging Human-Written Text Perturbations
  for Realistic Adversarial Attack and Defense

No Shifted Augmentations (NSA): compact distributions for robust
  self-supervised Anomaly Detection

Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation

Plasticity Neural Network Based on Astrocytic effects at Critical
  Period, Synaptic Competition and Strength Rebalance by Current and Mnemonic
  Brain Plasticity and Synapse Formation

Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient
  Approach to Multi-Modality Medical Image Segmentation

Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with
  Heterophily

Distinguishing Non-natural from Natural Adversarial Samples for More
  Robust Pre-trained Language Model

Desirable Companion for Vertical Federated Learning: New Zeroth-Order
  Gradient Based Algorithm

Implicit Parameter-free Online Learning with Truncated Linear Models

Pretraining with Artificial Language: Studying Transferable Knowledge in

Sequence-to-Sequence Knowledge Graph Completion and Question Answering

Practical Recommendations for Replay-based Continual Learning Methods

Learning to Reason Deductively: Math Word Problem Solving as Complex

PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs

Exploring the impact of spatiotemporal granularity on the demand
  prediction of dynamic ride-hailing

Neural Machine Translation with Phrase-Level Universal Visual

Deep Learning based Data Prefetching in CPU-GPU Unified Virtual Memory

Exploring Motion Ambiguity and Alignment for High-Quality Video Frame

Multi-channel CNN to classify nepali covid-19 related tweets using
  hybrid features

Machine Learning based Data Driven Diagnostic and Prognostic Approach
  for Laser Reliability Enhancement

Lifetime Prediction of 1550 nm DFB Laser using Machine learning

Meta-Weight Graph Neural Network: Push the Limits Beyond Global
  Homophily

Gated Recurrent Unit based Autoencoder for Optical Link Fault Diagnosis
  in Passive Optical Networks

Convolutional Neural Networks for Reflective Event Detection and
  Characterization in Fiber Optical Links Given Noisy OTDR Signals

Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and
  Semi-Supervised Semantic Segmentation

A Hybrid CNN-LSTM Approach for Laser Remaining Useful Life Prediction

Federated Learning Approach for Lifetime Prediction of Semiconductor
  Lasers

Machine Learning-based Anomaly Detection in Optical Fiber Monitoring

Exploiting Cross Domain Acoustic-to-articulatory Inverted Features For
  Disordered Speech Recognition

Reflective Fiber Faults Detection and Characterization Using
  Long-Short-Term Memory

Optical Fiber Fault Detection and Localization in a Noisy OTDR Trace
  Based on Denoising Convolutional Autoencoder and Bidirectional Long
  Short-Term Memory

Assessing Gender Bias in Predictive Algorithms using eXplainable AI

DiSECt: A Differentiable Simulator for Parameter Inference and Control
  in Robotic Cutting

Perturbation Analysis of Randomized SVD and its Applications to
  High-dimensional Statistics

FaiRR: Faithful and Robust Deductive Reasoning over Natural Language

Doubly Robust Collaborative Targeted Learning for Debiased

Read Top News First: A Document Reordering Approach for Multi-Document
  News Summarization

Meta-X$_{NLG}$: A Meta-Learning Approach Based on Language Clustering
  for Zero-Shot Cross-Lingual Transfer and Generation

Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue

HIPA: Hierarchical Patch Transformer for Single Image Super Resolution

High-dimensional Bayesian Optimization of Hyperparameters for an
  Attention-based Network to Predict Materials Property: a Case Study on
  CrabNet using Ax and SAASBO

DirecFormer: A Directed Attention in Transformer Approach to Robust

SDOAnet: An Efficient Deep Learning-Based DOA Estimation Network for
  Imperfect Array

Reinforcement Learned Distributed Multi-Robot Navigation with Reciprocal
  Velocity Obstacle Shaped Rewards

Convergence Error Analysis of Reflected Gradient Langevin Dynamics for
  Globally Optimizing Non-Convex Constrained Problems

Unsupervised Learning of 3D Semantic Keypoints with Mutual

CausalDeepCENT: Deep Learning for Causal Prediction of Individual Event
  Times

Conjugate Gradient Adaptive Learning with Tukey's Biweight M-Estimate

Inferring topological transitions in pattern-forming processes with
  self-supervised learning

Relationformer: A Unified Framework for Image-to-Graph Generation

Emulating Quantum Dynamics with Neural Networks via Knowledge

Cost Function Learning in Memorized Social Networks with Cognitive
  Behavioral Asymmetry

Learning Morphological Feature Perturbations for Calibrated
  Semi-Supervised Segmentation

Analysis and Adaptation of YOLOv4 for Object Detection in Aerial Images

Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty

A Class of Two-Timescale Stochastic EM Algorithms for Nonconvex Latent

RoVISQ: Reduction of Video Service Quality via Adversarial Attacks on
  Deep Learning-based Video Compression

Active learning in open experimental environments: selecting the right
  information channel(s) based on predictability in deep kernel learning

Importance Sampling Placement in Off-Policy Temporal-Difference Methods

Neuromorphic metamaterials for mechanosensing and perceptual associative
  learning

Equitable Ability Estimation in Neurodivergent Student Populations with
  Zero-Inflated Learner Models

Concept-based Adversarial Attacks: Tricking Humans and Classifiers Alike

A Closer Look at Knowledge Distillation with Features, Logits, and
  Gradients

Botnets Breaking Transformers: Localization of Power Botnet Attacks
  Against the Distribution Grid

ViewFormer: NeRF-free Neural Rendering from Few Images Using

Performance of Deep Learning models with transfer learning for
  multiple-step-ahead forecasts in monthly time series

Closing the Generalization Gap of Cross-silo Federated Medical Image

Infinite-Horizon Reach-Avoid Zero-Sum Games via Deep Reinforcement
  Learning

Bayesian structural learning of microbiota systems from count
  metagenomic data

Learning Personalized Item-to-Item Recommendation Metric via Implicit
  Feedback

But that's not why: Inference adjustment by interactive prototype
  deselection

I Know Therefore I Score: Label-Free Crafting of Scoring Functions using
  Constraints Based on Domain Expertise

Simulating Bandit Learning from User Feedback for Extractive Question
  Answering

Consonant-Vowel Transition Models Based on Deep Learning for Objective
  Evaluation of Articulation

SURF: Semi-supervised Reward Learning with Data Augmentation for
  Feedback-efficient Preference-based Reinforcement Learning

Risk-Sensitive Bayesian Games for Multi-Agent Reinforcement Learning
  under Policy Uncertainty

Bayesian Low-rank Matrix Completion with Dual-graph Embedding: Prior
  Analysis and Tuning-free Inference

Domain-knowledge-aided machine learning method for properties prediction
  of soft magnetic metallic glasses

Multi-input segmentation of damaged brain in acute ischemic stroke
  patients using slow fusion with skip connection

Skill-based Multi-objective Reinforcement Learning of Industrial Robot
  Tasks with Planning and Knowledge Integration

Unbiased Subclass Regularization for Semi-Supervised Semantic

ESS: Learning Event-based Semantic Segmentation from Still Images

Parametric Scaling of Preprocessing assisted U-net Architecture for
  Improvised Retinal Vessel Segmentation

Report from the NSF Future Directions Workshop on Automatic Evaluation
  of Dialog: Research Directions and Challenges

Ultra-low Latency Spiking Neural Networks with Spatio-Temporal
  Compression and Synaptic Convolutional Block

Application of Top-hat Transformation for Enhanced Blood Vessel

FORCE: A Framework of Rule-Based Conversational Recommender System

Graph-Text Multi-Modal Pre-training for Medical Representation Learning

Diffusion and Volume Maximization-Based Clustering of Highly Mixed
  Hyperspectral Images

Improving Urban Mobility: using artificial intelligence and new
  technologies to connect supply and demand

Identifying structure-absorption relationships and predicting absorption
  strength of non-fullerene acceptors for organic photovoltaics

Holistic Fault Detection and Diagnosis System in Imbalanced, Scarce,
  Multi-Domain (ISMD) Data Setting for Component-Level Prognostics and Health
  Management (PHM)

CrossAligner & Co: Zero-Shot Transfer Methods for Task-Oriented
  Cross-lingual Natural Language Understanding

X-ray Nano-imaging of Defects in Thin Film Catalysts via Cluster
  Analysis

WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
  Tasks

SS-SAM : Stochastic Scheduled Sharpness-Aware Minimization for
  Efficiently Training Deep Neural Networks

Improving Semantic Consistency of Variable Names with Use-Flow Graph
  Analysis

AlignTransformer: Hierarchical Alignment of Visual Regions and Disease
  Tags for Medical Report Generation

Alleviating Adversarial Attacks on Variational Autoencoders with MCMC

Demographics of young stars and their protoplanetary disks: lessons
  learned on disk evolution and its connection to planet formation

Deepfake Style Transfer Mixture: a First Forensic Ballistics Study on
  Synthetic Images

Collaborative Driving: Learning- Aided Joint Topology Formulation and
  Beamforming

Comparing SONN Types for Efficient Robot Motion Planning in the
  Configuration Space

Convolutional Simultaneous Sparse Approximation with Applications to
  RGB-NIR Image Fusion

Why we need biased AI -- How including cognitive and ethical machine
  biases can enhance AI systems

Fourier Document Restoration for Robust Document Dewarping and

Identifying Transients in the Dark Energy Survey using Convolutional

A Lightweight Instrument-Agnostic Model for Polyphonic Note
  Transcription and Multipitch Estimation

Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut,
  Weighted Kernel $k$-means, and Heat Kernel

CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric
  Guidance

Identification of Hypokinetic Dysarthria Using Acoustic Analysis of Poem
  Recitation

Class-wise Classifier Design Capable of Continual Learning using
  Adaptive Resonance Theory-based Topological Clustering

Selection of entropy based features for the analysis of the Archimedes'
  spiral applied to essential tremor

Finite-sample analysis of identification of switched linear systems with
  arbitrary or restricted switching

Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification

Promoting Ethical Awareness in Communication Analysis: Investigating
  Potentials and Limits of Visual Analytics for Intelligence Applications

Multi-Modal Masked Pre-Training for Monocular Panoramic Depth Completion

Neural Predictor for Black-Box Adversarial Attacks on Speech Recognition

Gender classification by means of online uppercase handwriting: A
  text-dependent allographic approach

Reinforcement Learning Approach to Clear Paths of Robots in Elevator

Reliably Reproducing Machine-Checked Proofs with the Coq Platform

DTA: Physical Camouflage Attacks using Differentiable Transformation
  Network

Towards Representative Subset Selection for Self-Supervised Speech

Cross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices?

Are You Robert or RoBERTa? Deceiving Online Authorship Attribution
  Models Using Neural Text Generators

Grasp Pre-shape Selection by Synthetic Training: Eye-in-hand Shared
  Control on the Hannes Prosthesis

Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased
  Scene Graph Generation

Proximal Policy Optimization with Adaptive Threshold for Symmetric
  Relative Density Ratio

Reinforcement-learning calibration of coherent-state receivers on
  variable-loss optical channels

Learning Consistency from High-quality Pseudo-labels for Weakly
  Supervised Object Localization

Scheduling a single machine with compressible jobs to minimize maximum
  lateness

AdIoTack: Quantifying and Refining Resilience of Decision Tree Ensemble
  Inference Models against Adversarial Volumetric Attacks on IoT Networks

Constitutive model characterization and discovery using physics-informed

Orientation Adaptive Minimal Learning Machine: Application to
  Thiolate-Protected Gold Nanoclusters and Gold-Thiolate Rings

Transferable Class-Modelling for Decentralized Source Attribution of
  GAN-Generated Images

Local-Global Context Aware Transformer for Language-Guided Video

Beyond a Video Frame Interpolator: A Space Decoupled Learning Approach
  to Continuous Image Transition

Deep reinforcement learning guided graph neural networks for brain
  network analysis

Speaker Embedding-aware Neural Diarization: an Efficient Framework for
  Overlapping Speech Diarization in Meeting Scenarios

Prediction of chaotic attractors in quasiperiodically forced logistic
  map using deep learning

Bike Sharing Demand Prediction based on Knowledge Sharing across Modes:
  A Graph-based Deep Learning Approach

AutoAdversary: A Pixel Pruning Method for Sparse Adversarial Attack

Distributed Sketching for Randomized Optimization: Exact
  Characterization, Concentration and Lower Bounds

Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation

Robot peels banana with goal-conditioned dual-action deep imitation
  learning

Efficient Split-Mix Federated Learning for On-Demand and In-Situ
  Customization

Soft Smoothness for Audio Inpainting Using a Latent Matrix Model in
  Delay-embedded Space

Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic

Semi-Supervised Learning with Mutual Distillation for Monocular Depth

PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive
  Weakly-Supervised Learning

Rethinking the optimization process for self-supervised model-driven MRI

Towards an AI-Driven Universal Anti-Jamming Solution with Convolutional
  Interference Cancellation Network

Carnot machine-based massive MIMO communication capacity modeling and
  performance analysis

M2TS: Multi-Scale Multi-Modal Approach Based on Transformer for Source
  Code Summarization

VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial
  Attention

Federated Learning for Privacy Preservation in Smart Healthcare Systems:
  A Comprehensive Survey

Towards Training Billion Parameter Graph Neural Networks for Atomic

A$^3$T: Alignment-Aware Acoustic and Text Pretraining for Speech
  Synthesis and Editing

Fast Bayesian Coresets via Subsampling and Quasi-Newton Refinement

A workflow for segmenting soil and plant X-ray CT images with deep
  learning in Googles Colaboratory

Deep Multi-Modal Structural Equations For Causal Effect Estimation With
  Unstructured Proxies

Latency Optimization for Blockchain-Empowered Federated Learning in
  Multi-Server Edge Computing

Analysing the Performance of Stress Detection Models on Consumer-Grade
  Wearable Devices

Emerging Artificial Intelligence Applications in Spatial Transcriptomics
  Analysis

An Improved Subject-Independent Stress Detection Model Applied to
  Consumer-grade Wearable Devices

Meta-Reinforcement Learning for the Tuning of PI Controllers: An Offline
  Approach

Learning Nonlocal Sparse and Low-Rank Models for Image Compressive
  Sensing

Regional Semantic Contrast and Aggregation for Weakly Supervised

Generating unrepresented proportions of geological facies using

Unified Line and Paragraph Detection by Graph Convolutional Networks

Investigating Compounding Prediction Errors in Learned Dynamics Models

A Density Evolution framework for Preferential Recovery of Covariance
  and Causal Graphs from Compressed Measurements

Inventing Relational State and Action Abstractions for Effective and
  Efficient Bilevel Planning

A Learning Framework for Bandwidth-Efficient Distributed Inference in
  Wireless IoT

The Analysis of Online Event Streams: Predicting the Next Activity for

DeepLSS: breaking parameter degeneracies in large scale structure with
  deep learning analysis of combined probes

Entangling Solid Solutions: Machine Learning of Tensor Networks for
  Materials Property Prediction

STICC: A multivariate spatial clustering method for repeated geographic
  pattern discovery with consideration of spatial contiguity

Learning Distributionally Robust Models at Scale via Composite

Overview of Test Coverage Criteria for Test Case Generation from Finite
  State Machines Modelled as Directed Graphs

DP-KB: Data Programming with Knowledge Bases Improves Transformer Fine
  Tuning for Answer Sentence Selection

Prioritized Variable-length Test Cases Generation for Finite State
  Machines

Enhanced Temporal Knowledge Embeddings with Contextualized Language

Video-based Formative and Summative Assessment of Surgical Tasks using

Surface Defect Detection and Evaluation for Marine Vessels using
  Multi-Stage Deep Learning

GAC: A Deep Reinforcement Learning Model Toward User Incentivization in
  Unknown Social Networks

Triangle and Four Cycle Counting with Predictions in Graph Streams

Decouple-and-Sample: Protecting sensitive information in task agnostic
  data release

Leveraging Adversarial Examples to Quantify Membership Information
  Leakage

Strategic Maneuver and Disruption with Reinforcement Learning Approaches
  for Multi-Agent Coordination

On the expressive power of message-passing neural networks as global
  feature map transformers

Efficient Federated Learning on Knowledge Graphs via Privacy-preserving
  Relation Embedding Aggregation

LSST Cadence Strategy Evaluations for AGN Time-series Data in
  Wide-Fast-Deep Field

Developing a Victorious Strategy to the Second Strong Gravitational
  Lensing Data Challenge

AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation

On Multi-Domain Long-Tailed Recognition, Imbalanced Domain
  Generalization and Beyond

DetMatch: Two Teachers are Better Than One for Joint 2D and 3D
  Semi-Supervised Object Detection

ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and
  Implicit Hate Speech Detection

The Frost Hollow Experiments: Pavlovian Signalling as a Path to
  Coordination and Communication Between Agents

An Imitation Learning Curriculum for Text Editing with
  Non-Autoregressive Models

CURTAINs for your Sliding Window: Constructing Unobserved Regions by
  Transforming Adjacent Intervals

Look Outside the Room: Synthesizing A Consistent Long-Term 3D Scene
  Video from A Single Image

Synthetic-to-Real Domain Adaptation using Contrastive Unpaired

Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces from 3D
  MRI Scans with Geometric Deep Neural Networks

TO-Scene: A Large-scale Dataset for Understanding 3D Tabletop Scenes

An Explainable Stacked Ensemble Model for Static Route-Free Estimation
  of Time of Arrival

Stochastic Halpern Iteration with Variance Reduction for Stochastic
  Monotone Inclusions

Mutual Learning for Domain Adaptation: Self-distillation Image Dehazing
  Network with Sample-cycle

elBERto: Self-supervised Commonsense Learning for Question Answering

ZebraPose: Coarse to Fine Surface Encoding for 6DoF Object Pose

Bi-directional Object-context Prioritization Learning for Saliency
  Ranking

Medium Transmission Map Matters for Learning to Restore Real-World
  Underwater Images

A Framework and Benchmark for Deep Batch Active Learning for Regression

Laplacian-level meta-generalized gradient approximation for solid and
  liquid metals

When Chosen Wisely, More Data Is What You Need: A Universal
  Sample-Efficient Strategy For Data Augmentation

One-Stage Deep Edge Detection Based on Dense-Scale Feature Fusion and
  Pixel-Level Imbalance Learning

DXQ-Net: Differentiable LiDAR-Camera Extrinsic Calibration Using
  Quality-aware Flow

Direct Gibbs posterior inference on risk minimizers: construction,
  concentration, and calibration

Identifiability of Sparse Causal Effects using Instrumental Variables

Gaussian initializations help deep variational quantum circuits escape
  from the barren plateau

Neural Part Priors: Learning to Optimize Part-Based Object Completion in
  RGB-D Scans

Fine Detailed Texture Learning for 3D Meshes with Generative Models

Low-rank Wasserstein polynomial chaos expansions in the framework of
  optimal transport

Context-Dependent Anomaly Detection with Knowledge Graph Embedding
  Models

A Novel Exploration of Diffusion Process based on Multi-types
  Galton-Watson Forests

A Flexible Micro-Randomized Trial Design and Sample Size Considerations

POSTER: Diagnosis of COVID-19 through Transfer Learning Techniques on CT
  Scans: A Comparison of Deep Learning Models

Dimensionality Reduction and Wasserstein Stability for Kernel Regression

Error estimates for physics informed neural networks approximating the
  Navier-Stokes equations

CYBORGS: Contrastively Bootstrapping Object Representations by Grounding
  in Segmentation

Machine Learning for Encrypted Malicious Traffic Detection: Approaches,
  Datasets and Comparative Study

PreTR: Spatio-Temporal Non-Autoregressive Trajectory Prediction

PiDAn: A Coherence Optimization Approach for Backdoor Attack Detection
  and Mitigation in Deep Neural Networks

HybridCap: Inertia-aid Monocular Capture of Challenging Human Motions

Ranking of Communities in Multiplex Spatiotemporal Models of Brain
  Dynamics

Knowledge Graph Embedding Methods for Entity Alignment: An Experimental
  Review

Transfer learning for cross-modal demand prediction of bike-share and
  public transit

ART-SS: An Adaptive Rejection Technique for Semi-Supervised restoration
  for adverse weather-affected images

Mixing Up Contrastive Learning: Self-Supervised Representation Learning
  for Time Series

Progressive Subsampling for Oversampled Data - Application to
  Quantitative MRI

On the Spectral Bias of Convolutional Neural Tangent and Gaussian
  Process Kernels

Near Instance-Optimal PAC Reinforcement Learning for Deterministic MDPs

Symmetry-Based Representations for Artificial and Biological General

Fine-tuning Global Model via Data-Free Knowledge Distillation for
  Non-IID Federated Learning

Re-shaping Post-COVID-19 Teaching and Learning: A Blueprint of
  Virtual-Physical Blended Classrooms in the Metaverse Era

Universal Conditional Masked Language Pre-training for Neural Machine

Investigation of Physics-Informed Deep Learning for the Prediction of
  Parametric, Three-Dimensional Flow Based on Boundary Data

Data-driven reduced order modelling for patient-specific hemodynamics of
  coronary artery bypass grafts with physical and geometrical parameters

Details or Artifacts: A Locally Discriminative Learning Approach to
  Realistic Image Super-Resolution

GAM(L)A: An econometric model for interpretable Machine Learning

An Interactive Explanatory AI System for Industrial Quality Control

Maximum Likelihood Estimation in Gaussian Process Regression is
  Ill-Posed

Generalized Classification of Satellite Image Time Series with Thermal
  Positional Encoding

Nearest Neighbor Classifier with Margin Penalty for Active Learning

Recurrent Neural Networks for Forecasting Time Series with Multiple
  Seasonality: A Comparative Study

On the Pitfalls of Heteroscedastic Uncertainty Estimation with
  Probabilistic Neural Networks

Modeling Dual Read/Write Paths for Simultaneous Machine Translation

Interactions between the individual and the group level in
  organizations: The case of learning and autonomous group adaptation

BrainGB: A Benchmark for Brain Network Analysis with Graph Neural
  Networks

Dynamic groups in complex task environments: To change or not to change
  a winning team?

Prediction of speech intelligibility with DNN-based performance measures

Covid19 Reproduction Number: Credibility Intervals by Blockwise Proximal
  Monte Carlo Samplers

Graph Representation Learning with Individualization and Refinement

MuKEA: Multimodal Knowledge Extraction and Accumulation for
  Knowledge-based Visual Question Answering

Global Convergence of MAML and Theory-Inspired Neural Architecture
  Search for Few-Shot Learning

Type-Driven Multi-Turn Corrections for Grammatical Error Correction

Mutual Generative Transformer Learning for Cross-view Geo-localization

Feature-informed Latent Space Regularization for Music Source Separation

Contrastive Learning with Positive-Negative Frame Mask for Music

ERNIE-GeoL: A Geography-and-Language Pre-trained Model and its
  Applications in Baidu Maps

Improving the Transferability of Targeted Adversarial Examples through
  Object-Based Diverse Input

To train or not to train adversarially: A study of bias mitigation
  strategies for speaker recognition

MotionAug: Augmentation with Physical Correction for Human Motion

Causal Robot Communication Inspired by Observational Learning Insights

Knowledge Graph-Enabled Text-Based Automatic Personality Prediction

PLANET: Dynamic Content Planning in Autoregressive Transformers for
  Long-form Text Generation

TMS: A Temporal Multi-scale Backbone Design for Speaker Embedding

DeepAD: A Robust Deep Learning Model of Alzheimer's Disease Progression
  for Real-World Clinical Applications

deepNIR: Datasets for generating synthetic NIR images and improved fruit
  detection system using deep learning techniques

Deep Point Cloud Simplification for High-quality Surface Reconstruction

GPU Computation of the Euler Characteristic Curve for Imaging Data

Confidence Dimension for Deep Learning based on Hoeffding Inequality and
  Relative Evaluation

Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a
  Learnable Classifier at the End of Deep Neural Network?

Experimental Quantum End-to-End Learning on a Superconducting Processor

Gaussian Multi-head Attention for Simultaneous Machine Translation

Attribute Surrogates Learning and Spectral Tokens Pooling in
  Transformers for Few-shot Learning

Reducing Position Bias in Simultaneous Machine Translation with
  Length-Aware Framework

Convert, compress, correct: Three steps toward communication-efficient
  DNN training

Latent Image Animator: Learning to Animate Images via Latent Space

GATE: Graph CCA for Temporal SElf-supervised Learning for
  Label-efficient fMRI Analysis

Triangular Transfer: Freezing the Pivot for Triangular Machine

Semantic-diversity transfer network for generalized zero-shot learning
  via inner disagreement based OOD detector

The Data Airlock: infrastructure for restricted data informatics

Neural Enhanced Belief Propagation for Data Association in Multiobject
  Tracking

AdaLoGN: Adaptive Logic Graph Network for Reasoning-Based Machine

On the sensitivity of pose estimation neural networks: rotation
  parameterizations, Lipschitz constants, and provable bounds

Koopman-based Differentiable Predictive Control for the Dynamics-Aware
  Economic Dispatch Problem

Speaker Information Can Guide Models to Better Inductive Biases: A Case
  Study On Predicting Code-Switching

Adaptive n-ary Activation Functions for Probabilistic Boolean Logic

A Survey of Multi-Agent Reinforcement Learning with Communication

Deep learning applications for quality control in particle detector
  construction

Point-Unet: A Context-aware Point-based Neural Network for Volumetric

On the Convergence of Certified Robust Training with Interval Bound

Robustness through Cognitive Dissociation Mitigation in Contrastive

On the Usefulness of the Fit-on-the-Test View on Evaluating Calibration
  of Classifiers

BPE vs. Morphological Segmentation: A Case Study on Machine Translation
  of Four Polysynthetic Languages

Meta-Learning of NAS for Few-shot Learning in Medical Image Applications

Latent-Variable Advantage-Weighted Policy Optimization for Offline RL

ABN: Agent-Aware Boundary Networks for Temporal Action Proposal

Backpropagation through Time and Space: Learning Numerical Methods with

Traffic-Aware UAV Placement Using a Generalizable Deep Reinforcement
  Learning Methodology

Knee arthritis severity measurement using deep learning: a publicly
  available algorithm with a multi-institutional validation showing
  radiologist-level performance

The Best of Both Worlds: Combining Learned Embeddings with Engineered
  Features for Accurate Prediction of Correct Patches

ORCA: A Network and Architecture Co-design for Offloading us-scale
  Datacenter Applications

Sat-NeRF: Learning Multi-View Satellite Photogrammetry With Transient
  Objects and Shadow Modeling Using RPC Cameras

Decision Trees with Hypotheses for Recognition of Monotone Boolean
  Functions and for Sorting

On Redundancy and Diversity in Cell-based Neural Architecture Search

Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning
  for Segmentation

"It Feels Like Taking a Gamble": Exploring Perceptions, Practices, and
  Challenges of Using Makeup and Cosmetics for People with Visual Impairments

Learning the Dynamics of Physical Systems from Sparse Observations with
  Finite Element Networks

Discovering the building blocks of dark matter halo density profiles
  with neural networks

A Continual Learning Framework for Adaptive Defect Classification and
  Inspection

PosePipe: Open-Source Human Pose Estimation Pipeline for Clinical
  Research

Are Shortest Rationales the Best Explanations for Human Understanding?

Exploring Variational Graph Auto-Encoders for Extract Class Refactoring

Practical Conditional Neural Processes Via Tractable Dependent

CUE Vectors: Modular Training of Language Models Conditioned on Diverse
  Contextual Signals

Understanding robustness and generalization of artificial neural
  networks through Fourier masks

Efficient conditioned face animation using frontally-viewed embedding

X-Learner: Learning Cross Sources and Tasks for Universal Visual

Behaviour in social media for floods and heat waves in disaster response
  via Artificial Intelligence

DePS: An improved deep learning model for de novo peptide sequencing

Hierarchical Clustering and Matrix Completion for the Reconstruction of
  World Input-Output Tables

What Do Adversarially trained Neural Networks Focus: A Fourier
  Domain-based Study

Hardware Approximate Techniques for Deep Neural Network Accelerators: A
  Survey

Learning Where To Look -- Generative NAS is Surprisingly Efficient

Attacking deep networks with surrogate-based adversarial black-box
  methods is easy

Multiscale Sensor Fusion and Continuous Control with Neural CDEs

High dimensional change-point detection: a complete graph approach

Learning video retrieval models with relevance-aware online mining

Measuring Fairness of Text Classifiers via Prediction Sensitivity

MPAF: Model Poisoning Attacks to Federated Learning based on Fake
  Clients

Occlusion Fields: An Implicit Representation for Non-Line-of-Sight

Learning Representation for Bayesian Optimization with Collision-free

Unraveled Multilevel Transformation Networks for Predicting
  Sparsely-Observed Spatiotemporal Dynamics

Topology-Preserving Shape Reconstruction and Registration via Neural
  Diffeomorphic Flow

Complexity Reduction of Learned In-Loop Filtering in Video Coding

Artificial Intelligence Enables Real-Time and Intuitive Control of
  Prostheses via Nerve Interface

Building Domain-Specific Machine Learning Workflows: A Conceptual
  Framework for the State-of-the-Practice

Adversarial Learned Fair Representations using Dampening and Stacking

Computer Vision Algorithm for Predicting the Welding Efficiency of
  Friction Stir Welded Copper Joints from its Microstructures

Extended vehicle energy dataset (eVED): an enhanced large-scale dataset
  for deep learning on vehicle trip energy consumption

An Independently Learnable Hierarchical Model for Bilateral
  Control-Based Imitation Learning Applications

Conditional Measurement Density Estimation in Sequential Monte Carlo via
  Normalizing Flow

Scientific and Technological Information Oriented Semantics-adversarial
  and Media-adversarial Cross-media Retrieval

CtlGAN: Few-shot Artistic Portraits Generation with Contrastive Transfer
  Learning

Less is More: Summary of Long Instructions is Better for Program
  Synthesis

A Deep Reinforcement Learning-Based Caching Strategy for IoT Networks
  with Transient Data

Deep vanishing point detection: Geometric priors make dataset variations
  vanish

Application of Quantum Density Matrix in Classical Question Answering
  and Classical Image Classification

Morse Theoretic Signal Compression and Reconstruction on Chain Complexes

MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D

Learning to Generate Synthetic Training Data using Gradient Matching and
  Implicit Differentiation

How darknet market users learned to worry more and love PGP: Analysis of
  security advice on darknet marketplaces

Zero-Shot Dependency Parsing with Worst-Case Aware Automated Curriculum
  Learning

PMIC: Improving Multi-Agent Reinforcement Learning with Progressive
  Mutual Information Collaboration

Biomimetic Evaluation of an Underwater Soft Hand Through Deep
  Learning-based 3D Pose Reconstruction

Is it all a cluster game? -- Exploring Out-of-Distribution Detection
  based on Clustering in the Embedding Space

Non-isotropy Regularization for Proxy-based Deep Metric Learning

Integrating Language Guidance into Vision-based Deep Metric Learning

Lazy-MDPs: Towards Interpretable Reinforcement Learning by Learning When
  to Act

Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape
  Estimation from Monocular Video

TegTok: Augmenting Text Generation via Task-specific and Open-world
  Knowledge

Monte Carlo PINNs: deep learning approach for forward and inverse
  problems involving high dimensional fractional partial differential equations

Continuous Detection, Rapidly React: Unseen Rumors Detection based on
  Continual Prompt-Tuning

Deepchecks: A Library for Testing and Validating Machine Learning Models
  and Data

QS-Attn: Query-Selected Attention for Contrastive Learning in I2I

Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding

Fusing Local Similarities for Retrieval-based 3D Orientation Estimation
  of Unseen Objects

Simple machine-learned interatomic potentials for complex alloys

Coach-assisted Multi-Agent Reinforcement Learning Framework for
  Unexpected Crashed Agents

The Devil Is in the Details: Window-based Attention for Image

Playing with blocks: Toward re-usable deep learning models for
  side-channel profiled attacks

Panini-Net: GAN Prior Based Degradation-Aware Feature Interpolation for
  Face Restoration

Understanding and Improving Sequence-to-Sequence Pretraining for Neural

Instance-level loss based multiple-instance learning framework for
  acoustic scene classification

DiFT: Differentiable Differential Feature Transform for Multi-View
  Stereo

Deep Residual Error and Bag-of-Tricks Learning for Gravitational Wave
  Surrogate Modeling

A Survey of Machine Learning Algorithms for 6G Wireless Networks

On the Use of Fine-grained Vulnerable Code Statements for Software
  Vulnerability Assessment Models

Unsupervised Semantic Segmentation by Distilling Feature Correspondences

CTDS: Centralized Teacher with Decentralized Student for Multi-Agent

FormNet: Structural Encoding beyond Sequential Modeling in Form Document

Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again

How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for
  Efficient and Safe Driving Strategies

Multi-Scale Context-Guided Lumbar Spine Disease Identification with
  Coarse-to-fine Localization and Classification

RBC: Rectifying the Biased Context in Continual Semantic Segmentation

Privacy-preserving Online AutoML for Domain-Specific Face Detection

COPA: Certifying Robust Policies for Offline Reinforcement Learning
  against Poisoning Attacks

Bridging the Data Gap between Training and Inference for Unsupervised

Scalable marginalization of correlated latent variables with
  applications to learning particle interaction kernels

Iteratively Prompt Pre-trained Language Models for Chain of Thought

Self-Supervised Deep Learning to Enhance Breast Cancer Detection on
  Screening Mammography

Are you aware of what you are watching? Role of machine heuristic in
  online content recommendations

Multi-View Document Representation Learning for Open-Domain Dense
  Retrieval

Mixed-Precision Neural Network Quantization via Learned Layer-wise
  Importance

Represent, Compare, and Learn: A Similarity-Aware Framework for
  Class-Agnostic Counting

A Squeeze-and-Excitation and Transformer based Cross-task System for
  Environmental Sound Recognition

A Multi-parameter Updating Fourier Online Gradient Descent Algorithm for
  Large-scale Nonlinear Classification

Domain Adaptive Hand Keypoint and Pixel Localization in the Wild

NURD: Negative-Unlabeled Learning for Online Datacenter Straggler

Dark-matter And Neutrino Computation Explored (DANCE) Community Input to
  Snowmass

WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection

ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data

TAKDE: Temporal Adaptive Kernel Density Estimator for Real-Time Dynamic

An explainability framework for cortical surface-based deep learning

CaRTS: Causality-driven Robot Tool Segmentation from Vision and
  Kinematics Data

Self-Distribution Distillation: Efficient Uncertainty Estimation

Semi-FedSER: Semi-supervised Learning for Speech Emotion Recognition On
  Federated Learning using Multiview Pseudo-Labeling

Bi-Manual Manipulation and Attachment via Sim-to-Real Reinforcement
  Learning

Continuous and Coordinated Efforts of Structure Wakefield Acceleration
  (SWFA) Development for an Energy Frontier Machine

Non-neural Models Matter: A Re-evaluation of Neural Referring Expression
  Generation Systems

Active Exploration for Neural Global Illumination of Variable Scenes

2-speed network ensemble for efficient classification of incremental
  land-use/land-cover satellite image chips

Neural RF SLAM for unsupervised positioning and mapping with channel
  state information

Neural-Network-Directed Genetic Programmer for Discovery of Governing
  Equations

Flash: Fast and Light Motion Prediction for Autonomous Driving with
  Bayesian Inverse Planning and Learned Motion Profiles

Non-Linear Reinforcement Learning in Large Action Spaces: Structural
  Conditions and Sample-efficiency of Posterior Sampling

Reconstructing Missing EHRs Using Time-Aware Within- and Cross-Visit
  Information for Septic Shock Early Prediction

Toward Improving Attentive Neural Networks in Legal Text Processing

Disparities in Dermatology AI Performance on a Diverse, Curated Clinical
  Image Set

A Deep Dive into Dataset Imbalance and Bias in Face Identification

Self-Normalized Density Map (SNDM) for Counting Microbiological Objects

Sex Trouble: Common pitfalls in incorporating sex/gender in medical
  machine learning and how to avoid them

New directions for surrogate models and differentiable programming for
  High Energy Physics detector simulation

Auto-Gait: Automatic Ataxia Risk Assessment with Computer Vision on Gait
  Task Videos

HUMUS-Net: Hybrid unrolled multi-scale network architecture for
  accelerated MRI reconstruction

AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient
  Hyper-parameter Tuning

A Differentiable Approach to Combinatorial Optimization using Dataless

Learning Deep Implicit Fourier Neural Operators (IFNOs) with
  Applications to Heterogeneous Material Modeling

UNet Architectures in Multiplanar Volumetric Segmentation -- Validated
  on Three Knee MRI Cohorts

Fiber Bundle Morphisms as a Framework for Modeling Many-to-Many Maps

Blocks Assemble! Learning to Assemble with Large-Scale Structured

SemiPFL: Personalized Semi-Supervised Federated Learning Framework for
  Edge Intelligence

Towards understanding deep learning with the natural clustering prior

Sensitivity Estimation for Dark Matter Subhalos in Synthetic Gaia DR2

Learning Spatio-Temporal Downsampling for Effective Video Upscaling

CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D
  Molecular Volumes from Real Cryo-EM Images

Animatable Implicit Neural Representations for Creating Realistic
  Avatars from Videos

One Network Doesn't Rule Them All: Moving Beyond Handcrafted
  Architectures in Self-Supervised Learning

A machine-learning photometric classifier for massive stars in nearby
  galaxies I. The method

Can Neural Nets Learn the Same Model Twice? Investigating
  Reproducibility and Double Descent from the Decision Boundary Perspective

Deep Learning without Shortcuts: Shaping the Kernel with Tailored
  Rectifiers

Representation Learning for Resource-Constrained Keyphrase Generation

Understanding chemical reactions via variational autoencoder and atomic

Evaluating the Text-to-SQL Capabilities of Large Language Models

Measuring the Impact of (Psycho-)Linguistic and Readability Features and
  Their Spill Over Effects on the Prediction of Eye Movement Patterns

Things not Written in Text: Exploring Spatial Commonsense from Visual
  Signals

A novel sampler for Gauss-Hermite determinantal point processes with
  application to Monte Carlo integration

Seeking Commonness and Inconsistencies: A Jointly Smoothed Approach to
  Multi-view Subspace Clustering

POETREE: Interpretable Policy Learning with Adaptive Decision Trees

Mobility, traffic and radio channel prediction: 5G and beyond

A multi-organ point cloud registration algorithm for abdominal CT
  registration

Natural Hierarchical Cluster Analysis by Nearest Neighbors with
  Near-Linear Time Complexity

Shallow Transits -- Deep Learning II: Identify Individual Exoplanetary
  Transits in Red Noise using Deep Learning

End-to-End Modeling via Information Tree for One-Shot Natural Language
  Spatial Video Grounding

Approximate Decision Trees For Machine Learning Classification on Tiny
  Printed Circuits

Text-free non-parallel many-to-many voice conversion using normalising
  flows

Beyond Explaining: Opportunities and Challenges of XAI-Based Model
  Improvement

InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene

RotateQVS: Representing Temporal Information as Rotations in Quaternion
  Vector Space for Temporal Knowledge Graph Completion

Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic

On the Pitfalls of Batch Normalization for End-to-End Video Learning: A
  Study on Surgical Workflow Analysis

Categorical Representation Learning and RG flow operators for
  algorithmic classifiers

PDNS-Net: A Large Heterogeneous Graph Benchmark Dataset of Network
  Resolutions for Graph Learning

Variational inference of fractional Brownian motion with linear
  computational complexity

Investigating self-supervised learning for speech enhancement and

Generating Privacy-Preserving Process Data with Deep Generative Models

Threat Detection for General Social Engineering Attack Using Machine
  Learning Techniques

How informative is the Order Book Beyond the Best Levels? Machine
  Learning Perspective

Unsupervised Extractive Opinion Summarization Using Sparse Coding

Privacy-Preserving Speech Representation Learning using Vector

GPV-Pose: Category-level Object Pose Estimation via Geometry-guided
  Point-wise Voting

Scalable Bigraphical Lasso: Two-way Sparse Network Inference for Count
  Data

Signal in Noise: Exploring Meaning Encoded in Random Character Sequences
  with Character-Aware Language Models

Gold Doesn't Always Glitter: Spectral Removal of Linear and Nonlinear
  Guarded Attribute Information

Autonomous atomic Hamiltonian construction and active sampling of x-ray
  absorption spectroscopy by adversarial Bayesian optimization

Comparing Two Samples Through Stochastic Dominance: A Graphical Approach

Efficient Training of the Memristive Deep Belief Net Immune to
  Non-Idealities of the Synaptic Devices

LiP-Flow: Learning Inference-time Priors for Codec Avatars via
  Normalizing Flows in Latent Space

Regret Bounds for Expected Improvement Algorithms in Gaussian Process
  Bandit Optimization

Imputing Out-of-Vocabulary Embeddings with LOVE Makes Language Models
  Robust with Little Cost

Improved Multi-label Classification under Temporal Concept Drift:
  Rethinking Group-Robust Algorithms in a Label-Wise Setting

Bamboo: Building Mega-Scale Vision Dataset Continually with
  Human-Machine Synergy

What is the best RNN-cell structure for forecasting each time series
  behavior?

Seamless lightning nowcasting with recurrent-convolutional deep learning

Pose-MUM : Reinforcing Key Points Relationship for Semi-Supervised Human
  Pose Estimation

Better Uncertainty Calibration via Proper Scores for Classification and
  Beyond

Graph Neural Network Sensitivity Under Probabilistic Error Model

Do BERTs Learn to Use Browser User Interface? Exploring Multi-Step Tasks
  with Unified Vision-and-Language BERTs

SPA-VAE: Similar-Parts-Assignment for Unsupervised 3D Point Cloud

SISL:Self-Supervised Image Signature Learning for Splicing Detection and

Adversarial Counterfactual Augmentation: Application in Alzheimer's
  Disease Classification

Interspace Pruning: Using Adaptive Filter Representations to Improve
  Training of Sparse CNNs

End-to-end P300 BCI using Bayesian accumulation of Riemannian

A Framework for Verifiable and Auditable Federated Anomaly Detection

Igeood: An Information Geometry Approach to Out-of-Distribution
  Detection

Scalable Penalized Regression for Noise Detection in Learning with Noisy
  Labels

The Ghost in the Machine has an American accent: value conflict in GPT-3

Complex Evolutional Pattern Learning for Temporal Knowledge Graph
  Reasoning

Fast Autofocusing using Tiny Transformer Networks for Digital
  Holographic Microscopy

Learning to Optimize Resource Assignment for Task Offloading in Mobile

Generative models and Bayesian inversion using Laplace approximation

Optimal denoising of rotationally invariant rectangular matrices

Real-time Neural-MPC: Deep Learning Model Predictive Control for
  Quadrotors and Agile Robotic Platforms

Exact Feature Distribution Matching for Arbitrary Style Transfer and
  Domain Generalization

An Annotation-free Restoration Network for Cataractous Fundus Images

Augmenting Document Representations for Dense Retrieval with
  Interpolation and Perturbation

S2F2: Self-Supervised High Fidelity Face Reconstruction from Monocular
  Image

Evaluating BERT-based Pre-training Language Models for Detecting

Reducing overestimating and underestimating volatility via the augmented
  blending-ARCH model

Securing the Classification of COVID-19 in Chest X-ray Images: A
  Privacy-Preserving Deep Learning Approach

Meta Ordinal Regression Forest for Medical Image Classification with
  Ordinal Labels

A physics and data co-driven surrogate modeling approach for temperature
  field prediction on irregular geometric domain

CODA: A Real-World Road Corner Case Dataset for Object Detection in

Revitalize Region Feature for Democratizing Video-Language Pre-training

LDP: Learnable Dynamic Precision for Efficient Deep Neural Network
  Training and Inference

Adaptive Environment Modeling Based Reinforcement Learning for Collision
  Avoidance in Complex Scenes

Magnification Prior: A Self-Supervised Method for Learning
  Representations on Breast Cancer Histopathological Images

Benchmarking and Interpreting End-to-end Learning of MIMO and Multi-User

Distribution-Aware Single-Stage Models for Multi-Person 3D Pose

Supervised Contrastive Learning with Structure Inference for Graph

InsCon:Instance Consistency Feature Representation via Self-Supervised
  Learning

Compressing Sentence Representation for Semantic Retrieval via
  Homomorphic Projective Distillation

FB-MSTCN: A Full-Band Single-Channel Speech Enhancement Method Based on
  Multi-Scale Temporal Convolutional Network

DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting

Energy-efficient Dense DNN Acceleration with Signed Bit-slice

Incorporating Heterophily into Graph Neural Networks for Graph

Unpaired Deep Image Dehazing Using Contrastive Disentanglement Learning

An Introduction to Multi-Agent Reinforcement Learning and Review of its
  Application to Autonomous Mobility

Safe Neurosymbolic Learning with Differentiable Symbolic Execution

SATS: Self-Attention Transfer for Continual Semantic Segmentation

One Agent To Rule Them All: Towards Multi-agent Conversational AI

What's in the Black Box? The False Negative Mechanisms Inside Object
  Detectors

Physics-Informed Neural Networks with Adaptive Localized Artificial
  Viscosity

Breast Cancer Molecular Subtypes Prediction on Pathological Images with
  Discriminative Patch Selecting and Multi-Instance Learning

Wave-SAN: Wavelet based Style Augmentation Network for Cross-Domain

Generalized but not Robust? Comparing the Effects of Data Modification
  Methods on Out-of-Domain Generalization and Adversarial Robustness

Improving Event Representation via Simultaneous Weakly Supervised
  Contrastive Learning and Clustering

Graph Representation Learning for Popularity Prediction Problem: A
  Survey

Multilingual Mix: Example Interpolation Improves Multilingual Neural

Innovations in trigger and data acquisition systems for next-generation
  physics facilities

Learning What Not to Segment: A New Perspective on Few-Shot Segmentation

SmartValidator: A Framework for Automatic Identification and
  Classification of Cyber Threat Data

Multi-View Dreaming: Multi-View World Model with Contrastive Learning

Sim-to-Real Learning of Footstep-Constrained Bipedal Dynamic Walking

TSM: Measuring the Enticement of Honeyfiles with Natural Language

Time-series image denoising of pressure-sensitive paint data by
  projected multivariate singular spectrum analysis

Quantifying Energetic and Entropic Pathways in Molecular Systems

On the Calibration of Pre-trained Language Models using Mixup Guided by
  Area Under the Margin and Saliency

Learning for Robot Decision Making under Distribution Shift: A Survey

Permutation Invariant Representations with Applications to Graph Deep
  Learning

A Unified Framework for Rank-based Evaluation Metrics for Link
  Prediction in Knowledge Graphs

Neural Network Solver for Coherent Synchrotron Radiation Wakefield
  Calculations in Accelerator-based Charged Particle Beams

Denoising and feature extraction in photoemission spectra with
  variational auto-encoder neural networks

Convolutional-Recurrent Neural Network Proxy for Robust Optimization and
  Closed-Loop Reservoir Management

Sense Embeddings are also Biased--Evaluating Social Biases in Static and
  Contextualised Sense Embeddings

Choose Your QA Model Wisely: A Systematic Study of Generative and
  Extractive Readers for Question Answering

Automatic lane change scenario extraction and generation of scenarios in
  OpenX format from real-world data

Skydiver: A Spiking Neural Network Accelerator Exploiting
  Spatio-Temporal Workload Balance

Multi Stage Screening: Enforcing Fairness and Maximizing Efficiency in a
  Pre-Existing Pipeline

Don't fear the unlabelled: safe deep semi-supervised learning via simple
  debiasing

Contrastive Visual Semantic Pretraining Magnifies the Semantics of
  Natural Language Representations

Closing the Loop: A Framework for Trustworthy Machine Learning in Power
  Systems

VAST: The Valence-Assessing Semantics Test for Contextualizing Language
  Models

Reinforcement Learning for Optimal Control of a District Cooling Energy
  Plant

An Approximate Reinforcement Learning Algorithm for Controlled Diffusion
  Processes

Broad chemical transferability in structure-based coarse-graining

Synergistic Scheduling of Learning and Allocation of Tasks in
  Human-Robot Teams

Invariance in Policy Optimisation and Partial Identifiability in Reward
  Learning

Distributed On-Sensor Compute System for AR/VR Devices: A
  Semi-Analytical Simulation Framework for Power Estimation

Simultaneous Learning of the Inputs and Parameters in Neural

L2Explorer: A Lifelong Reinforcement Learning Assessment Environment

A deep learning pipeline for breast cancer ki-67 proliferation index
  scoring

Unsupervised Clustering of Roman Potsherds via Variational Autoencoders

A novel evolutionary-based neuro-fuzzy task scheduling approach to
  jointly optimize the main design challenges of heterogeneous MPSoCs

Hercules: Heterogeneity-Aware Inference Serving for At-Scale
  Personalized Recommendation

Bayesian-EUCLID: discovering hyperelastic material laws with
  uncertainties

Optical Wavelength Meter with Machine Learning Enhanced Precision

Switch Trajectory Transformer with Distributional Value Approximation
  for Multi-Task Reinforcement Learning

On Connecting Deep Trigonometric Networks with Deep Gaussian Processes:
  Covariance, Expressivity, and Neural Tangent Kernel

Respecting causality is all you need for training physics-informed

There's no difference: Convolutional Neural Networks for transient
  detection without template subtraction

Accelerated Bayesian SED Modeling using Amortized Neural Posterior

RES-HD: Resilient Intelligent Fault Diagnosis Against Adversarial
  Attacks Using Hyper-Dimensional Computing

Improving Di-Higgs Sensitivity at Future Colliders in Hadronic Final
  States with Machine Learning

Sparse random hypergraphs: Non-backtracking spectra and community
  detection

Federated Cycling (FedCy): Semi-supervised Federated Learning of
  Surgical Phases

Inverse Online Learning: Understanding Non-Stationary and Reactionary
  Policies

Reconstruction of Large Radius Tracks with the Exa.TrkX pipeline

White Paper on Light Sterile Neutrino Searches and Related Phenomenology

Efficient Model-based Multi-agent Reinforcement Learning via Optimistic
  Equilibrium Computation

The Right to be Forgotten in Federated Learning: An Efficient
  Realization with Rapid Retraining

S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised
  Learning Through Hierarchical Contrastive Learning

Generalized Rectifier Wavelet Covariance Models For Texture Synthesis

GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large

FRL-FI: Transient Fault Analysis for Federated Reinforcement
  Learning-Based Navigation Systems

Graph-Survival: A Survival Analysis Framework for Machine Learning on
  Temporal Networks

The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for
  Large Language Models

FisheyeHDK: Hyperbolic Deformable Kernel Learning for Ultra-Wide
  Field-of-View Image Recognition

Physico-chemical properties extraction from the fluorescence spectrum
  with 1D-convolutional neural networks: application to olive oil

Extending the reach of quantum computing for materials science with
  machine learning potentials

Detection and characterization of microseismic events from fiber-optic
  DAS data using deep learning

A Novel Perspective to Look At Attention: Bi-level Attention-based
  Explainable Topic Modeling for News Classification

A Self-Supervised, Differentiable Kalman Filter for Uncertainty-Aware
  Visual-Inertial Odometry

Improving State-of-the-Art in One-Class Classification by Leveraging
  Unlabeled Data

Optimising low-Reynolds-number predation via optimal control and

TaylorBeamformer: Learning All-Neural Beamformer for Multi-Channel
  Speech Enhancement from Taylor's Approximation Theory

Impedance Adaptation by Reinforcement Learning with Contact Dynamic
  Movement Primitives

Don't Get Me Wrong: How to apply Deep Visual Interpretations to Time
  Series

Optimal Correlated Equilibria in General-Sum Extensive-Form Games:
  Fixed-Parameter Algorithms, Hardness, and Two-Sided Column-Generation

MDNet: Learning Monaural Speech Enhancement from Deep Prior Gradient

Dataset and Case Studies for Visual Near-Duplicates Detection in the
  Context of Social Media

RAUM-VO: Rotational Adjusted Unsupervised Monocular Visual Odometry

On the benefits of knowledge distillation for adversarial robustness

On the Nash equilibrium of moment-matching GANs for stationary Gaussian
  processes

Sampling discretization error of integral norms for function classes
  with small smoothness

Quantitative Gaussian Approximation of Randomly Initialized Deep Neural
  Networks

Similarity-based prediction of Ejection Fraction in Heart Failure
  Patients

Conquering Ghosts: Relation Learning for Information Reliability
  Representation and End-to-End Robust Navigation

Neural Message Passing for Objective-Based Uncertainty Quantification
  and Optimal Experimental Design

Modelling variability in vibration-based PBSHM via a generalised
  population form

RCL: Recurrent Continuous Localization for Temporal Action Detection

The Multi-Agent Pickup and Delivery Problem: MAPF, MARL and Its
  Warehouse Applications

Towards Unifying the Label Space for Aspect- and Sentence-based

Dawn of the transformer era in speech emotion recognition: closing the
  valence gap

Interpretability for Language Learners Using Example-Based Grammatical
  Error Correction

A Decomposition-Based Hybrid Ensemble CNN Framework for Improving
  Cross-Subject EEG Decoding Performance

MotionSC: Data Set and Network for Real-Time Semantic Mapping in Dynamic

Real-Robot Deep Reinforcement Learning: Improving Trajectory Tracking of
  Flexible-Joint Manipulator with Reference Correction

Optimal Admission Control for Multiclass Queues with Time-Varying
  Arrival Rates via State Abstraction

Support-vector-machine with Bayesian optimization for lithofacies
  classification using elastic properties

Extracting associations and meanings of objects depicted in artworks
  through bi-modal deep networks

A review of Generative Adversarial Networks for Electronic Health
  Records: applications, evaluation measures and data sources

Rethinking Minimal Sufficient Representation in Contrastive Learning

Cross-View-Prediction: Exploring Contrastive Feature for Hyperspectral

Supervised segmentation of NO2 plumes from individual ships using
  TROPOMI satellite data

Multigrid-augmented deep learning preconditioners for the Helmholtz
  equation

Solving parametric partial differential equations with deep rectified
  quadratic unit neural networks

Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots

UniVIP: A Unified Framework for Self-Supervised Visual Pre-training

Speeding up deep neural network-based planning of local car maneuvers
  via efficient B-spline path construction

Statistical learning for train delays and influence of winter climate
  and atmospheric icing

Are Deepfakes Concerning? Analyzing Conversations of Deepfakes on Reddit
  and Exploring Societal Implications

Computer Vision and Deep Learning for Fish Classification in Underwater
  Habitats: A Survey

Modelling word learning and recognition using visually grounded speech

Topologically protected dynamics in three-dimensional nonlinear
  antisymmetric Lotka-Volterra systems

A Systematic Review on Affective Computing: Emotion Models, Databases,
  and Recent Advances

Combining AI/ML and PHY Layer Rule Based Inference -- Some First Results

WCL-BBCD: A Contrastive Learning and Knowledge Graph Approach to Named

Uncertainty-Aware Text-to-Program for Question Answering on Structured
  Electronic Health Records

Machine-guided Exploration and Calibration of Astrophysical Simulations

Hierarchical Memory Learning for Fine-Grained Scene Graph Generation

Deep Transfer Learning with Graph Neural Network for Sensor-Based Human

Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for
  Pre-trained Language Models

Communication-Efficient Federated Distillation with Active Data Sampling

Topological EEG Nonlinear Dynamics Analysis for Emotion Recognition

Lead-agnostic Self-supervised Learning for Local and Global
  Representations of Electrocardiogram

Defending Against Adversarial Attack in ECG Classification with
  Adversarial Distillation Training

DKMA-ULD: Domain Knowledge augmented Multi-head Attention based Robust
  Universal Lesion Detection

Asymptotic Behavior of Bayesian Generalization Error in Multinomial
  Mixtures

Improved Universal Sentence Embeddings with Prompt-based Contrastive
  Learning and Energy-based Learning

TSR-DSAW: Table Structure Recognition via Deep Spatial Association of
  Words

Calibration of Derivative Pricing Models: a Multi-Agent Reinforcement

ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object

Continual Learning for Multivariate Time Series Tasks with Variable
  Input Dimensions

SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark
  for Semantic and Generative Capabilities

STDAN: Deformable Attention Network for Space-Time Video

Bures Joint Distribution Alignment with Dynamic Margin for Unsupervised

KenMeSH: Knowledge-enhanced End-to-end Biomedical Text Labelling

Semi-Discrete Normalizing Flows through Differentiable Tessellation

Fairness Evaluation in Deepfake Detection Models using Metamorphic
  Testing

Low-dose CT reconstruction by self-supervised learning in the projection
  domain

SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image
  Labels for Quantitative Clinical Evaluation

Edge Detection and Image Filter algorithms for Spectroscopic Analysis
  with Deep Learning Applications

CheckSel: Efficient and Accurate Data-valuation Through Online
  Checkpoint Selection

Automated Learning for Deformable Medical Image Registration by Jointly
  Optimizing Network Architectures and Objective Functions

Learning Markov Games with Adversarial Opponents: Efficient Algorithms
  and Fundamental Limits

MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient
  Magnitudes of Auxiliary Tasks

Can pre-trained Transformers be used in detecting complex sensitive
  sentences? -- A Monsanto case study

Euclidean Invariant Recognition of 2D Shapes Using Histograms of
  Magnitudes of Local Fourier-Mellin Descriptors

WFI J161953.3+031909: eclipsing ER UMa-type and Z Cam-type star in the
  period gap

Fuzzing+Hardware Performance Counters-Based Detection of Algorithm
  Subversion Attacks on Post-Quantum Signature Schemes

Automated fault tree learning from continuous-valued sensor data: a case
  study on domestic heaters

Probabilistically Robust Recourse: Navigating the Trade-offs between
  Costs and Robustness in Algorithmic Recourse

TurbuGAN: An Adversarial Learning Approach to Spatially-Varying
  Multiframe Blind Deconvolution with Applications to Imaging Through
  Turbulence

Adaptive Gap Entangled Polynomial Coding for Multi-Party Computation at
  the Edge

A Machine Learning Enhanced Algorithm for the Optimal Landing Problem

Food Recipe Recommendation Based on Ingredients Detection Using Deep
  Learning

Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs

Training Protocol Matters: Towards Accurate Scene Text Recognition via
  Training Protocol Searching

Generating Practical Adversarial Network Traffic Flows Using NIDSGAN

A Comparison of Static, Dynamic, and Hybrid Analysis for Malware
  Detection

Dynamic and Context-Dependent Stock Price Prediction Using Attention
  Modules and News Sentiment

Set-valued prediction in hierarchical classification with constrained
  representation complexity

FlexBlock: A Flexible DNN Training Accelerator with Multi-Mode Block
  Floating Point Support

DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement
  Learning

The Yield Curve as a Recession Leading Indicator. An Application for
  Gradient Boosting and Random Forest

Exploring Customer Price Preference and Product Profit Role in

Measuring anomalies in cigarette sales by using official data from
  Spanish provinces: Are there only the anomalies detected by the Empty Pack
  Surveys (EPS) used by Transnational Tobacco Companies (TTCs)?

Revisiting Deep Semi-supervised Learning: An Empirical Distribution
  Alignment Framework and Its Generalization Bound

Scaling the Wild: Decentralizing Hogwild!-style Shared-memory SGD

Adaptive Bit Rate Control in Semantic Communication with Incremental
  Knowledge-based HARQ

ALDI++: Automatic and parameter-less discord and outlier detection for
  building energy load profiles

Deep Learning for 1-Bit Compressed Sensing-based Superimposed CSI
  Feedback

Depth-Aware Generative Adversarial Network for Talking Head Video

Informative Causality Extraction from Medical Literature via
  Dependency-tree based Patterns

ORDSIM: Ordinal Regression for E-Commerce Query Similarity Prediction

Policy Learning for Robust Markov Decision Process with a Mismatched

CVFNet: Real-time 3D Object Detection by Learning Cross View Features

Bi-Sampling Approach to Classify Music Mood leveraging Raga-Rasa
  Association in Indian Classical Music

One Parameter Defense -- Defending against Data Inference Attacks via

Symbolic Learning to Optimize: Towards Interpretability and Scalability

Model Inversion Attack against Transfer Learning: Inverting a Model
  without Accessing It

SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for
  Abstractive Summarization

Query-Efficient Black-box Adversarial Attacks Guided by a Transfer-based
  Prior

AutoGPart: Intermediate Supervision Search for Generalizable 3D Part

Contrastive Learning for Automotive mmWave Radar Detection Points Based

CEKD:Cross Ensemble Knowledge Distillation for Augmented Fine-grained
  Data

Change Detection from Synthetic Aperture Radar Images via Dual Path

Sparse Local Patch Transformer for Robust Face Alignment and Landmarks
  Inherent Relation Learning

Improving Macroeconomic Model Validity and Forecasting Performance with
  Pooled Country Data using Structural, Reduced Form, and Neural Network Model

Recursive 3D Segmentation of Shoulder Joint with Coarse-scanned MR Image

Fast Simulation-Based Bayesian Estimation of Heterogeneous and
  Representative Agent Models using Normalizing Flow Neural Networks

Whats Missing? Learning Hidden Markov Models When the Locations of
  Missing Observations are Unknown

Sparsity and Heterogeneous Dropout for Continual Learning in the Null
  Space of Neural Activations

Using digital traces to build prospective and real-time county-level
  early warning systems to anticipate COVID-19 outbreaks in the United States

Characterizing and Understanding Software Security Vulnerabilities in
  Machine Learning Libraries

Wasserstein Adversarial Transformer for Cloud Workload Prediction

The worst of both worlds: A comparative analysis of errors in learning
  from data in psychology and machine learning

Developing Potential Energy Surfaces for Graphene-based 2D-3D Interfaces
  from Modified High Dimensional Neural Networks for Applications in Energy
  Storage

Simulating Transient Noise Bursts in LIGO with Generative Adversarial
  Networks

TEN: Twin Embedding Networks for the Jigsaw Puzzle Problem with Eroded

GATSBI: Generative Adversarial Training for Simulation-Based Inference

Semiparametric doubly robust targeted double machine learning: a review

Towards On-Device AI and Blockchain for 6G enabled Agricultural
  Supply-chain Management

A Deep Reinforcement Learning Environment for Particle Robot Navigation
  and Object Manipulation

A Systematic Review on Computer Vision-Based Parking Lot Management
  Applied on Public Datasets

Low-Rank Softmax Can Have Unargmaxable Classes in Theory but Rarely in
  Practice

Energy networks for state estimation with random sensors using sparse
  labels

Bringing Rolling Shutter Images Alive with Dual Reversed Distortion

Multi-step dual control for exploration and exploitation in autonomous
  search with convergence guarantee

Deep learning-based conditional inpainting for restoration of
  artifact-affected 4D CT images

Categories of Differentiable Polynomial Circuits for Machine Learning

DFTR: Depth-supervised Fusion Transformer for Salient Object Detection

Enhancing crowd flow prediction in various spatial and temporal
  granularities

Concentration Network for Reinforcement Learning of Large-Scale
  Multi-Agent Systems

Implicit LiDAR Network: LiDAR Super-Resolution via Interpolation Weight

SIGMA: Semantic-complete Graph Matching for Domain Adaptive Object
  Detection

A combined approach to the analysis of speech conversations in a contact
  center domain

Joint CNN and Transformer Network via weakly supervised Learning for
  efficient crowd counting

An Introduction to Matrix factorization and Factorization Machines in
  Recommendation System, and Beyond

Differentiated Relevances Embedding for Group-based Referring Expression

SSCU-Net: Spatial-Spectral Collaborative Unmixing Network for

Generic Lithography Modeling with Dual-band Optics-Inspired Neural
  Networks

  from SDSS. II. The image-based morphological catalogs of galaxies at
  0.02<z<0.1

Varying Coefficient Linear Discriminant Analysis for Dynamic Data

The Health Gym: Synthetic Health-Related Datasets for the Development of
  Reinforcement Learning Algorithms

MDT-Net: Multi-domain Transfer by Perceptual Supervision for Unpaired
  Images in OCT Scan

Preserving Lagrangian structure in data-driven reduced-order modeling of
  large-scale dynamical systems

Self-Sustaining Representation Expansion for Non-Exemplar
  Class-Incremental Learning

Tactile-ViewGCN: Learning Shape Descriptor from Tactile Data using Graph

Combining Deep Learning with Physics Based Features in
  Explosion-Earthquake Discrimination

The Principle of Diversity: Training Stronger Vision Transformers Calls
  for Reducing All Levels of Redundancy

Auto-FedRL: Federated Hyperparameter Optimization for
  Multi-institutional Medical Image Segmentation

Stable and Efficient Shapley Value-Based Reward Reallocation for
  Multi-Agent Reinforcement Learning of Autonomous Vehicles

Wavelet Knowledge Distillation: Towards Efficient Image-to-Image

PillarGrid: Deep Learning-based Cooperative Perception for 3D Object
  Detection from Onboard-Roadside LiDAR

Tensor Radiomics: Paradigm for Systematic Incorporation of
  Multi-Flavoured Radiomics Features

SOCKS: A Stochastic Optimal Control and Reachability Toolbox Using
  Kernel Methods

Estimating Cluster Masses from SDSS Multi-band Images with Transfer
  Learning

Prediction of stable Li-Sn compounds: boosting ab initio searches with
  neural network potentials

A Gaseous Argon-Based Near Detector to Enhance the Physics Capabilities
  of DUNE

Bit-Metric Decoding Rate in Multi-User MIMO Systems: Applications

Parameter Inference of Time Series by Delay Embeddings and Learning
  Differentiable Operators

Preliminary experiments on automatic gender recognition based on online
  capital letters

DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale

Perception Over Time: Temporal Dynamics for Robust Image Understanding

Learning from humans: combining imitation and deep reinforcement
  learning to accomplish human-level performance on a virtual foraging task

Sampling Bias Correction for Supervised Machine Learning: A Bayesian
  Inference Approach with Practical Applications

verBERT: Automating Brazilian Case Law Document Multi-label
  Categorization Using BERT

Generalized Key-Value Memory to Flexibly Adjust Redundancy in
  Memory-Augmented Networks

Learning cardiac activation maps from 12-lead ECG with multi-fidelity
  Bayesian optimization on manifolds

Infrastructure-free, Deep Learned Urban Noise Monitoring at $\sim$100mW

Medical Image Segmentation on MRI Images with Missing Modalities: A
  Review

Can I see an Example? Active Learning the Long Tail of Attributes and
  Relations

TrafPS: A Visual Analysis System Interpreting Traffic Prediction in
  Shapley

Leveraging universality of jet taggers through transfer learning

More Than a Toy: Random Matrix Models Predict How Real-World Neural
  Representations Generalize

LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text
  Retrieval

Neuromorphic Data Augmentation for Training Spiking Neural Networks

Distribution-free Prediction Sets Adaptive to Unknown Covariate Shift

Protein Representation Learning by Geometric Structure Pretraining

GATSPI: GPU Accelerated Gate-Level Simulation for Power Improvement

Detection of multiple retinal diseases in ultra-widefield fundus images
  using deep learning: data-driven identification of relevant regions

Multi-sensor large-scale dataset for multi-view 3D reconstruction

Stochastic Learning in Kolkata Paise Restaurant Problem: Classical \&
  Quantum Strategies

Pitfalls of Epistemic Uncertainty Quantification through Loss
  Minimisation

WLASL-LEX: a Dataset for Recognising Phonological Properties in American
  Sign Language

LFW-Beautified: A Dataset of Face Images with Beautification and
  Augmented Reality Filters

Econometric Modeling of Intraday Electricity Market Price with
  Inadequate Historical Data

Bayesian Nonparametric Inference for "Species-sampling" Problems

Semi-supervised classification of medical ultrasound images based on
  generative adversarial network

Active Evaluation: Efficient NLG Evaluation with Few Pairwise
  Comparisons

ROOD-MRI: Benchmarking the robustness of deep learning segmentation
  models to out-of-distribution and corrupted data in MRI

Identifying Causal Effects using Instrumental Time Series: Nuisance IV
  and Correcting for the Past

A Machine Learning Approach for Prosumer Management in Intraday
  Electricity Markets

Universally Consistent Online Learning with Arbitrarily Dependent
  Responses

Embedding Earth: Self-supervised contrastive pre-training for dense land
  cover classification

Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on
  Riemannian Gradient Descent With Illustrations of Speech Processing

Enhancing Adversarial Training with Second-Order Statistics of Weights

Towards Self-Supervised Learning of Global and Object-Centric

Graph Neural Networks for Relational Inductive Bias in Vision-based Deep
  Reinforcement Learning of Robot Control

Solving Multi-Structured Problems by Introducing Linkage Kernels into
  GOMEA

An Adaptive Hybrid Active Learning Strategy with Free Ratings in

CNN-Aided Factor Graphs with Estimated Mutual Information Features for
  Seizure Detection

Block-Sparse Adversarial Attack to Fool Transformer-Based Text

Hybrid Artifact Detection System for Minute Resolution Blood Pressure
  Signals from ICU

PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows

Detecting local earthquakes via fiber-optic cables in telecommunication
  conduits under Stanford University campus using deep learning

Visualizing and Understanding Patch Interactions in Vision Transformer

Survey on Automated Short Answer Grading with Deep Learning: from Word
  Embeddings to Transformers

Generalized Bandit Regret Minimizer Framework in Imperfect Information
  Extensive-Form Game

Integrating Dependency Tree Into Self-attention for Sentence

Optimizing a Superconducting Radiofrequency Gun Using Deep Reinforcement
  Learning

BabyNet: Reconstructing 3D faces of babies from uncalibrated photographs

A New Learning Paradigm for Stochastic Configuration Network: SCN+

Identifiability of Causal-based Fairness Notions: A State of the Art

A Deep Learning Model with Radiomics Analysis Integration for
  Glioblastoma Post-Resection Survival Prediction

Video Coding for Machines with Feature-Based Rate-Distortion

Improving the transferability of speech separation by meta-learning

Wireless Quantized Federated Learning: A Joint Computation and
  Communication Design

A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive
  Learning Framework for Sentence Embeddings

Neural Forecasting of the Italian Sovereign Bond Market with Economic
  News

A geometrical viewpoint on the benign overfitting property of the
  minimum $l_2$-norm interpolant estimator

Deep Learning-Based Blind Multiple User Detection for Grant-free SCMA
  and MUSA Systems

An integrated Auto Encoder-Block Switching defense approach to prevent
  adversarial attacks

MLRM: A Multiple Linear Regression based Model for Average Temperature
  Prediction of A Day

Learning Discriminative Representations and Decision Boundaries for Open
  Intent Detection

Effects of the COVID-19 pandemic in higher education: a particular case
  from the perspective of complex systems

ZIN: When and How to Learn Invariance Without Environment Partition?

No Free Lunch Theorem for Security and Utility in Federated Learning

Averaging Spatio-temporal Signals using Optimal Transport and Soft
  Alignments

Reprogramming FairGANs with Variational Auto-Encoders: A New Transfer

Near-optimal Offline Reinforcement Learning with Linear Representation:
  Leveraging Variance Information with Pessimism

Learning from Attacks: Attacking Variational Autoencoder for Improving

Democratizing Contrastive Language-Image Pre-training: A CLIP Benchmark
  of Data, Model, and Supervision

PathSAGE: Spatial Graph Attention Neural Networks With Random Path
  Sampling

Democracy Does Matter: Comprehensive Feature Mining for Co-Salient

AI-enabled Automatic Multimodal Fusion of Cone-Beam CT and Intraoral
  Scans for Intelligent 3D Tooth-Bone Reconstruction and Clinical Applications

Overcoming Temptation: Incentive Design For Intertemporal Choice

Acoustic To Articulatory Speech Inversion Using Multi-Resolution
  Spectro-Temporal Representations Of Speech Signals

A Robust Approach for the Decomposition of High-Energy-Consuming
  Industrial Loads with Deep Learning

A Thermodynamics-informed Active Learning Approach to Perception and
  Reasoning about Fluids

Reinforcement Learning for Linear Quadratic Control is Vulnerable Under
  Cost Manipulation

Learning Transient Partial Differential Equations with Local Neural
  Operators

DeepTrust: A Reliable Financial Knowledge Retrieval Framework For
  Explaining Extreme Pricing Anomalies

Dual reparametrized Variational Generative Model for Time-Series

An Efficient Accelerator for Deep Learning-based Point Cloud
  Registration on FPGAs

A comparative study of non-deep learning, deep learning, and ensemble
  learning methods for sunspot number prediction

Active Phase-Encode Selection for Slice-Specific Fast MR Scanning Using
  a Transformer-Based Deep Reinforcement Learning Framework

Classification from Positive and Biased Negative Data with Skewed
  Labeled Posterior Probability

Semi-constraint Optimal Transport for Entity Alignment with Dangling
  Cases

An Efficient Video Streaming Architecture with QoS Control for Virtual
  Desktop Infrastructure in Cloud Computing

A Survey of Surface Defect Detection of Industrial Products Based on A
  Small Number of Labeled Data

Dual-Domain Reconstruction Networks with V-Net and K-Net for fast MRI

Evaluating U-net Brain Extraction for Multi-site and Longitudinal
  Preclinical Stroke Imaging

Towards Scale Consistent Monocular Visual Odometry by Learning from the
  Virtual World

Technologies for AI-Driven Fashion Social Networking Service with
  E-Commerce

Synopses of Movie Narratives: a Video-Language Dataset for Story

Machine Learning Based Multimodal Neuroimaging Genomics Dementia Score
  for Predicting Future Conversion to Alzheimer's Disease

Geometric Synthesis: A Free lunch for Large-scale Palmprint Recognition
  Model Pretraining

Learning-based Localizability Estimation for Robust LiDAR Localization

A Mixed Integer Programming Approach for Verifying Properties of
  Binarized Neural Networks

Lifelong Adaptive Machine Learning for Sensor-based Human Activity
  Recognition Using Prototypical Networks

A Holistic Approach to Predicting Top Quark Kinematic Properties with
  the Covariant Particle Transformer

Leveraging Labeling Representations in Uncertainty-based Semi-supervised

State-Machine Replication Scalability Made Simple (Extended Version)

The Overlooked Classifier in Human-Object Interaction Recognition

Fusion of Sentiment and Asset Price Predictions for Portfolio

NELA-GT-2021: A Large Multi-Labelled News Dataset for The Study of
  Misinformation in News Articles

Minimizing the AoI in Resource-Constrained Multi-Source Relaying
  Systems: Dynamic and Learning-based Scheduling

Attack Analysis of Face Recognition Authentication Systems Using Fast
  Gradient Sign Method

BASIL: Balanced Active Semi-supervised Learning for Class Imbalanced
  Datasets

Koopman Methods for Estimation of Animal Motions over Unknown
  Submanifolds

PLATO: Predicting Latent Affordances Through Object-Centric Play

Disadvantaged students increase their academic performance through
  collective intelligence exposure in emergency remote learning due to COVID 19

A Linearithmic Time Locally Optimal Algorithm for the Multiway Number
  Partition Optimization

Deep Learning-Based Perceptual Stimulus Encoder for Bionic Vision

Gesture based Arabic Sign Language Recognition for Impaired People based
  on Convolution Neural Network

End-to-End Learning to Grasp via Sampling from Object Point Clouds

Transfer of Representations to Video Label Propagation: Implementation
  Factors Matter

An Empirical Investigation of 3D Anomaly Detection and Segmentation

Context is Everything: Implicit Identification for Dynamics Adaptation

LiDAR Aided Future Beam Prediction in Real-World Millimeter Wave V2I

AI Annotated Recommendations in an Efficient Visual Learning Environment
  with Emphasis on YouTube (AI-EVL)

SoftSNN: Low-Cost Fault Tolerance for Spiking Neural Network
  Accelerators under Soft Errors

Geometric and Topological Inference for Deep Representations of Complex
  Networks

projUNN: efficient method for training deep networks with unitary
  matrices

Model soups: averaging weights of multiple fine-tuned models improves
  accuracy without increasing inference time

HiSA-SMFM: Historical and Sentiment Analysis based Stock Market
  Forecasting Model

Web Mining to Inform Locations of Charging Stations for Electric
  Vehicles

CoCoFL: Communication- and Computation-Aware Federated Learning via
  Partial NN Freezing and Quantization

LoopITR: Combining Dual and Cross Encoder Architectures for Image-Text
  Retrieval

Self Pre-training with Masked Autoencoders for Medical Image Analysis

Artificial Intelligence in Vehicular Wireless Networks: A Case Study
  Using ns-3

Bias-variance decomposition of overparameterized regression with random
  linear features

Deliberation in autonomous robotic surgery: a framework for handling
  anatomical uncertainty

Probabilistic forecasts of wind power generation in regions with complex
  topography using deep learning methods: An Arctic case

Near-optimal Deep Reinforcement Learning Policies from Data for Zone
  Temperature Control

Disentangled Multimodal Representation Learning for Recommendation

Robustness Analysis of Classification Using Recurrent Neural Networks
  with Perturbed Sequential Input

Representation Compensation Networks for Continual Semantic Segmentation

Deep Convolutional Neural Networks for Molecular Subtyping of Gliomas
  Using Magnetic Resonance Imaging

Asymptotic Bounds for Smoothness Parameter Estimates in Gaussian Process

A Note on A Priori Forecasting and Simplicity Bias in Time Series

Multi-Channel Convolutional Analysis Operator Learning for Dual-Energy
  CT Reconstruction

KSoF: The Kassel State of Fluency Dataset -- A Therapy Centered Dataset
  of Stuttering

Forecasting the abnormal events at well drilling with machine learning

neos: End-to-End-Optimised Summary Statistics for High Energy Physics

A Contribution-based Device Selection Scheme in Federated Learning

Temporal Network Epistemology: on Reaching Consensus in Real World
  Setting

Climate Change & Computer Audition: A Call to Action and Overview on
  Audio Intelligence to Help Save the Planet

Differentially Private Learning Needs Hidden State (Or Much Faster
  Convergence)

Efficient Runtime Profiling for Black-box Machine Learning Services on
  Sensor Streams

Deep Residual Reinforcement Learning based Autonomous Blimp Control

Machine Learning-based Beamforming Design for Millimeter Wave IRS
  Communications with Discrete Phase Shifters

Two-stream Hierarchical Similarity Reasoning for Image-text Matching

EyeLoveGAN: Exploiting domain-shifts to boost network learning with
  cycleGANs

Autofocusing+: Noise-Resilient Motion Correction in Magnetic Resonance
  Imaging

Domain Generalization via Shuffled Style Assembly for Face Anti-Spoofing

Parsimonious Physics-Informed Random Projection Neural Networks for
  Initial-Value Problems of ODEs and index-1 DAEs

Non-generative Generalized Zero-shot Learning via Task-correlated
  Disentanglement and Controllable Samples Synthesis

Iterative Corresponding Geometry: Fusing Region and Depth for Highly
  Efficient 3D Tracking of Textureless Objects

SelfTune: Metrically Scaled Monocular Depth Estimation through

AIFB-WebScience at SemEval-2022 Task 12: Relation Extraction First --
  Using Relation Extraction to Identify Entities

Exploiting the Potential of Datasets: A Data-Centric Approach for Model

Investigations of the Systematic Uncertainties in Convolutional Neural
  Network Based Analysis of Atmospheric Cherenkov Telescope Data

Design-Technology Co-Optimization for NVM-based Neuromorphic Processing
  Elements

Compressing CNN Kernels for Videos Using Tucker Decompositions: Towards
  Lightweight CNN Applications

GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive
  Recognition of Cereal Grains

BEAT: A Large-Scale Semantic and Emotional Multi-Modal Dataset for
  Conversational Gestures Synthesis

On Robustness in Optimization-Based Constrained Iterative Learning
  Control

Breaking the Curse of Dimensionality in Multiagent State Space: A
  Unified Agent Permutation Framework

Multi-Agent Task Assignment in Vehicular Edge Computing: A
  Regret-Matching Learning-Based Approach

Stable Parametrization of Continuous and Piecewise-Linear Functions

Look Backward and Forward: Self-Knowledge Distillation with
  Bidirectional Decoder for Neural Machine Translation

Data-driven Control of Unknown Linear Systems via Quantized Feedback

Conditional Synthetic Data Generation for Personal Thermal Comfort
  Models

Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided
  Label Enhancement

Data-Folding and Hyperspace Coding for Multi-Dimensonal Time-Series Data
  Imaging

Random Ensemble Reinforcement Learning for Traffic Signal Control

Evaluation of Machine Learning Algorithms in Network-Based Intrusion

Faithfulness in Natural Language Generation: A Systematic Survey of
  Analysis, Evaluation and Optimization Methods

Label-efficient Hybrid-supervised Learning for Medical Image

Efficient MIP Techniques for Computing the Relaxation Complexity

Clustering Label Inference Attack against Practical Split Learning

Unfolded Deep Kernel Estimation for Blind Image Super-resolution

A Benchmark for Active Learning of Variability-Intensive Systems

Transferring Dual Stochastic Graph Convolutional Network for Facial
  Micro-expression Recognition

MORE: Multi-Order RElation Mining for Dense Captioning in 3D Scenes

Spatially-Varying Bayesian Predictive Synthesis for Flexible and
  Interpretable Spatial Prediction

A Systematic Literature Review on Blockchain Enabled Federated Learning
  Framework for Internet of Vehicles

Policy Architectures for Compositional Generalization in Control

Suspected Object Matters: Rethinking Model's Prediction for One-stage
  Visual Grounding

LineVD: Statement-level Vulnerability Detection using Graph Neural
  Networks

Knowledge Distillation as Efficient Pre-training: Faster Convergence,
  Higher Data-efficiency, and Better Transferability

Towards Open-Set Text Recognition via Label-to-Prototype Learning

TextConvoNet:A Convolutional Neural Network based Architecture for Text

Discrepancy Modeling Framework: Learning missing physics, modeling
  systematic residuals, and disambiguating between deterministic and random
  effects

Zero-Shot Action Recognition with Transformer-based Video Semantic
  Embedding

Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity

Intention-aware Feature Propagation Network for Interactive Segmentation

Earthquake Location and Magnitude Estimation with Graph Neural Networks

IAE-Net: Integral Autoencoders for Discretization-Invariant Learning

Manifold Modeling in Quotient Space: Learning An Invariant Mapping with
  Decodability of Image Patches

Action-Constrained Reinforcement Learning for Frame-Level Bit Allocation
  in HEVC/H.265 through Frank-Wolfe Policy Optimization

PACTran: PAC-Bayesian Metrics for Estimating the Transferability of
  Pretrained Models to Classification Tasks

Multi-Task Adversarial Learning for Treatment Effect Estimation in
  Basket Trials

Semi-supervision semantic segmentation with uncertainty-guided self
  cross supervision

Internet-augmented language models through few-shot prompting for
  open-domain question answering

Librarian-in-the-Loop: A Natural Language Processing Paradigm for
  Detecting Informal Mentions of Research Data in Academic Literature

Transition to Linearity of Wide Neural Networks is an Emerging Property
  of Assembling Weak Models

Human-Like Navigation Behavior: A Statistical Evaluation Framework

SUPERNOVA: Automating Test Selection and Defect Prevention in AAA Video
  Games Using Risk Based Testing and Machine Learning

Model-Architecture Co-Design for High Performance Temporal GNN Inference
  on FPGA

Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain
  Analysis: From Theory to Practice

Filter Drug-induced Liver Injury Literature with Natural Language
  Processing and Ensemble Learning

Detecting and Diagnosing Terrestrial Gravitational-Wave Mimics Through

HDL: Hybrid Deep Learning for the Synthesis of Myocardial Velocity Maps
  in Digital Twins for Cardiac Analysis

Givens Coordinate Descent Methods for Rotation Matrix Learning in
  Trainable Embedding Indexes

SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement
  Learning

Connecting sufficient conditions for domain adaptation: source-guided
  uncertainty, relaxed divergences and discrepancy localization

The Transitive Information Theory and its Application to Deep Generative
  Models

Artificial Intelligence Solution for Effective Treatment Planning for
  Glioblastoma Patients

On the influence of over-parameterization in manifold based surrogates
  and deep neural operators

HealthPrompt: A Zero-shot Learning Paradigm for Clinical Natural

Optical Flow Training under Limited Label Budget via Active Learning

Evaluating Proposed Fairness Models for Face Recognition Algorithms

Transfer Learning as an Essential Tool for Digital Twins in Renewable
  Energy Systems

Power-of-Two Quantization for Low Bitwidth and Hardware Compliant Neural
  Networks

Sentence-Select: Large-Scale Language Model Data Selection for Rare-Word

Resource-Efficient Invariant Networks: Exponential Gains by Unrolled

Learning from Physical Human Feedback: An Object-Centric One-Shot
  Adaptation Method

Addressing Bias in Visualization Recommenders by Identifying Trends in
  Training Data: Improving VizML Through a Statistical Analysis of the Plotly
  Community Feed

Deep Generative Models for Downlink Channel Estimation in FDD Massive

Investigation of Factorized Optical Flows as Mid-Level Representations

Correlated quantization for distributed mean estimation and optimization

The Severity Prediction of The Binary And Multi-Class Cardiovascular
  Disease -- A Machine Learning-Based Fusion Approach

Effects of Epileptiform Activity on Discharge Outcome in Critically Ill
  Patients

Monitoring Time Series With Missing Values: a Deep Probabilistic
  Approach

Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep

DUAL: Discrete Spoken Unit Adaptive Learning for Textless Spoken

Rethinking data-driven point spread function modeling with a
  differentiable optical model

Rethinking Task Sampling for Few-shot Vision-Language Transfer Learning

Joint Learning of Salient Object Detection, Depth Estimation and Contour

A Brain-Inspired Low-Dimensional Computing Classifier for Inference on
  Tiny Devices

Device-system Co-design of Photonic Neuromorphic Processor using

Physics-aware Complex-valued Adversarial Machine Learning in
  Reconfigurable Diffractive All-optical Neural Network

Efficient Image Representation Learning with Federated Sampled Softmax

Metastatic Cancer Outcome Prediction with Injective Multiple Instance
  Pooling

Reverse Engineering $\ell_p$ attacks: A block-sparse optimization
  approach with recovery guarantees

CEU-Net: Ensemble Semantic Segmentation of Hyperspectral Images Using

Neuro-symbolic Natural Logic with Introspective Revision for Natural

Binary Classification Under $\ell_0$ Attacks for General Noise
  Distribution

Federated Minimax Optimization: Improved Convergence Analyses and

Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction

A high-precision underwater object detection based on joint
  self-supervised deblurring and improved spatial transformer network

Neural Network Training on In-memory-computing Hardware with Radix-4
  Gradients

Machine Learning based Optimal Feedback Control for Microgrid
  Stabilization

Text-DIAE: A Self-Supervised Degradation Invariant Autoencoders for Text
  Recognition and Document Enhancement

A high-precision self-supervised monocular visual odometry in foggy
  weather based on robust cycled generative adversarial networks and multi-task
  learning aided depth estimation

Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets

One-Shot Learning from a Demonstration with Hierarchical Latent Language

NeRF-Pose: A First-Reconstruct-Then-Regress Approach for
  Weakly-supervised 6D Object Pose Estimation

Identifying the root cause of cable network problems with machine
  learning

Geometric Optimisation on Manifolds with Applications to Deep Learning

Dimensionality Reduction and Prioritized Exploration for Policy Search

Predictive data-driven model based on generative adversarial network for
  premixed turbulence-combustion regimes

Multiscale Convolutional Transformer with Center Mask Pretraining for

Explainable Machine Learning for Predicting Homicide Clearance in the
  United States

Learning Progressive Distributed Compression Strategies from Local
  Channel State Information

SkinningNet: Two-Stream Graph Convolutional Neural Network for Skinning
  Prediction of Synthetic Characters

Regularized Deep Signed Distance Fields for Reactive Motion Generation

Anomaly Detection for Unmanned Aerial Vehicle Sensor Data Using a
  Stacked Recurrent Autoencoder Method with Dynamic Thresholding

Pretrained Domain-Specific Language Model for General Information
  Retrieval Tasks in the AEC Domain

On a linear fused Gromov-Wasserstein distance for graph structured data

A Unified Transformer Framework for Group-based Segmentation:
  Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection

LEMON: LanguagE ModeL for Negative Sampling of Knowledge Graph

Multi-robot Cooperative Pursuit via Potential Field-Enhanced

Gym-saturation: an OpenAI Gym environment for saturation provers

Robust Federated Learning Against Adversarial Attacks for Speech Emotion

Align-Deform-Subtract: An Interventional Framework for Explaining Object
  Differences

FragmGAN: Generative Adversarial Nets for Fragmentary Data Imputation
  and Prediction

The Cross-evaluation of Machine Learning-based Network Intrusion

A database of MMS bow shock crossings compiled using machine learning

SparseChem: Fast and accurate machine learning model for small molecules

Learning the Degradation Distribution for Blind Image Super-Resolution

Normal and Visibility Estimation of Human Face from a Single Image

HAIDA: Biometric technological therapy tools for neurorehabilitation of
  Cognitive Impairment

3D Dense Face Alignment with Fused Features by Aggregating CNNs and GCNs

Fluctuation-driven plasticity allows for flexible rewiring of neuronal
  assemblies

Memory Efficient Continual Learning for Neural Text Classification

Speaker Identification Experiments Under Gender De-Identification

LEBP -- Language Expectation & Binding Policy: A Two-Stream Framework
  for Embodied Vision-and-Language Interaction Task Learning Agents

Uni4Eye: Unified 2D and 3D Self-supervised Pre-training via Masked Image
  Modeling Transformer for Ophthalmic Image Classification

Object-Based Visual Camera Pose Estimation From Ellipsoidal Model and
  3D-Aware Ellipse Prediction

Attention-effective multiple instance learning on weakly stem cell
  colony segmentation

Representation, learning, and planning algorithms for geometric task and
  motion planning

Data-driven detector signal characterization with constrained bottleneck
  autoencoders

Domain Generalization using Pretrained Models without Fine-tuning

Stretching symmetry and Haglund's conjecture for Macdonald polynomials

Unsupervised Domain Adaptation across FMCW Radar Configurations Using
  Margin Disparity Discrepancy

Multi-modal Brain Tumor Segmentation via Missing Modality Synthesis and
  Modality-level Attention Fusion

Language Adaptive Cross-lingual Speech Representation Learning with
  Sparse Sharing Sub-networks

Sequential Multi-task Learning with Task Dependency for Appeal Judgment

Multi-Objective reward generalization: Improving performance of Deep
  Reinforcement Learning for selected applications in stock and cryptocurrency
  trading

A Neuro-vector-symbolic Architecture for Solving Raven's Progressive
  Matrices

PHTrans: Parallelly Aggregating Global and Local Representations for

All You Need is LUV: Unsupervised Collection of Labeled Images using
  Invisible UV Fluorescent Indicators

Training from a Better Start Point: Active Self-Semi-Supervised Learning
  for Few Labeled Samples

Source-free Video Domain Adaptation by Learning Temporal Consistency for

Cross validation for model selection: a primer with examples from
  ecology

Spectral Efficiency of Unicast and Multigroup Multicast Transmission in
  Cell-free Distributed Massive MIMO Systems

Investigation of the Relationship between Geomagnetic Activity and Solar
  Wind Parameters Based on A Novel Neural Network (Potential Learning)

MetaCon: Unified Predictive Segments System with Trillion Concept

Metric Entropy Duality and the Sample Complexity of Outcome
  Indistinguishability

Multi-Agent Active Search using Detection and Location Uncertainty

Deep Bidirectional Transformers for SoC Flow Specification Mining

Structure and Distribution Metric for Quantifying the Quality of
  Uncertainty: Assessing Gaussian Processes, Deep Neural Nets, and Deep Neural
  Operators for Regression

SuperCone: Unified User Segmentation over Heterogeneous Experts via
  Concept Meta-learning

Revealing the Excitation Causality between Climate and Political
  Violence via a Neural Forward-Intensity Poisson Process

ReVar: Strengthening Policy Evaluation via Reduced Variance Sampling

Onception: Active Learning with Expert Advice for Real World Machine

Learning Invariant Stabilizing Controllers for Frequency Regulation
  under Variable Inertia

Millimeter-Scale Ultra-Low-Power Imaging System for Intelligent Edge
  Monitoring

Intelligent Feedback Overhead Reduction (iFOR) in Wi-Fi 7 and Beyond

Towards Large-Scale and Spatio-temporally Resolved Diagnosis of
  Electronic Density of States by Deep Learning

Part-level Action Parsing via a Pose-guided Coarse-to-Fine Framework

BinMLM: Binary Authorship Verification with Flow-aware Mixture-of-Shared

The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another
  in Neural Networks

Probabilistic Rotation Representation With an Efficiently Computable
  Bingham Loss Function and Its Application to Pose Estimation

Pruning Graph Convolutional Networks to select meaningful graph
  frequencies for fMRI decoding

Machine Learning in NextG Networks via Generative Adversarial Networks

CIDER: Exploiting Hyperspherical Embeddings for Out-of-Distribution
  Detection

Unsupervised learning of two-component nematicity from STM data on magic
  angle bilayer graphene

Self-Supervised Domain Calibration and Uncertainty Estimation for Place

Self-Supervision, Remote Sensing and Abstraction: Representation
  Learning Across 3 Million Locations

Pointillism: Accurate 3D bounding box estimation with multi-radars

Joint rotational invariance and adversarial training of a dual-stream
  Transformer yields state of the art Brain-Score for Area V4

Variational Inference with Locally Enhanced Bounds for Hierarchical
  Models

DeepSE-WF: Unified Security Estimation for Website Fingerprinting
  Defenses

Efficient quantum gate decomposition via adaptive circuit compression

Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction

Harmonicity Plays a Critical Role in DNN Based Versus in
  Biologically-Inspired Monaural Speech Segregation Systems

Survival Prediction of Brain Cancer with Incomplete Radiology,
  Pathology, Genomics, and Demographic Data

Score matching enables causal discovery of nonlinear additive noise
  models

iSEA: An Interactive Pipeline for Semantic Error Analysis of NLP Models

Extraction of Sleep Information from Clinical Notes of Alzheimer's
  Disease Patients Using Natural Language Processing

Adaptive Machine Learning for Time-Varying Systems: Towards 6D Phase
  Space Diagnostics of Short Intense Charged Particle Beams

Metaplastic and Energy-Efficient Biocompatible Graphene Artificial
  Synaptic Transistors for Enhanced Accuracy Neuromorphic Computing

Model-free feature selection to facilitate automatic discovery of
  divergent subgroups in tabular data

A Novel Deep Learning Model for Hotel Demand and Revenue Prediction amid
  COVID-19

Regularized Training of Intermediate Layers for Generative Models for
  Inverse Problems

Formation Control of Nonlinear Multi-Agent Systems Using Three-Layer

Logic-based AI for Interpretable Board Game Winner Prediction with
  Tsetlin Machine

Unsupervised Data Splitting Scheme for Federated Edge Learning in IoT
  Networks

Sharing Generative Models Instead of Private Data: A Simulation Study on
  Mammography Patch Classification

Digital Twin in Practice: Emergent Insights from an ethnographic-action
  research study

Change-point Detection and Segmentation of Discrete Data using Bayesian
  Context Trees

A Simple Multi-Modality Transfer Learning Baseline for Sign Language

From the Lab to People's Home: Lessons from Accessing Blind
  Participants' Interactions via Smart Glasses in Remote Studies

Probabilistic Warp Consistency for Weakly-Supervised Semantic
  Correspondences

Robust Multi-Task Learning and Online Refinement for Spacecraft Pose
  Estimation across Domain Gap

Policy-Based Bayesian Experimental Design for Non-Differentiable
  Implicit Models

MICDIR: Multi-scale Inverse-consistent Deformable Image Registration
  using UNetMSS with Self-Constructing Graph Latent

Second-life Lithium-ion batteries: A chemistry-agnostic and scalable
  health estimation algorithm

PERCEPT: a new online change-point detection method using topological
  data analysis

Time-domain feature extraction for target-specificity in Photoacoustic
  Remote Sensing Microscopy

A Sharp Characterization of Linear Estimators for Offline Policy

Adaptative Perturbation Patterns: Realistic Adversarial Learning for
  Robust Intrusion Detection

Learning based Age of Information Minimization in UAV-relayed IoT
  Networks

Learning Bidirectional Translation between Descriptions and Actions with
  Small Paired Data

AssistQ: Affordance-centric Question-driven Task Completion for
  Egocentric Assistant

Follow the Water: Finding Water, Snow and Clouds on Terrestrial
  Exoplanets with Photometry and Machine Learning

Locate This, Not That: Class-Conditioned Sound Event DOA Estimation

A Gating Model for Bias Calibration in Generalized Zero-shot Learning

Reward-Biased Maximum Likelihood Estimation for Neural Contextual
  Bandits

Enhancing Mechanical Metamodels with a Generative Model-Based Augmented
  Training Dataset

Predatory Medicine: Exploring and Measuring the Vulnerability of Medical
  AI to Predatory Science

Distributed Control using Reinforcement Learning with
  Temporal-Logic-Based Reward Shaping

Model Positionality and Computational Reflexivity: Promoting Reflexivity
  in Data Science

Curriculum-based Reinforcement Learning for Distribution System Critical
  Load Restoration

On the intrinsic dimensionality of Covid-19 data: a global perspective

PyNET-QxQ: A Distilled PyNET for QxQ Bayer Pattern Demosaicing in CMOS
  Image Sensor

Robust Local Preserving and Global Aligning Network for Adversarial

Easy Ensemble: Simple Deep Ensemble Learning for Sensor-Based Human

Bots don't Vote, but They Surely Bother! A Study of Anomalous Accounts
  in a National Referendum

YouTube-GDD: A challenging gun detection dataset with rich contextual

Cluster Head Detection for Hierarchical UAV Swarm With Graph

Graph-based Reinforcement Learning meets Mixed Integer Programs: An
  application to 3D robot assembly discovery

Plumeria at SemEval-2022 Task 6: Robust Approaches for Sarcasm Detection
  for English and Arabic Using Transformers and Data Augmentation

Predicting conversion of mild cognitive impairment to Alzheimer's
  disease

VoViT: Low Latency Graph-based Audio-Visual Voice Separation Transformer

Multi-Agent Broad Reinforcement Learning for Intelligent Traffic Light
  Control

Contrastive Enhancement Using Latent Prototype for Few-Shot Segmentation

Breast cancer detection using artificial intelligence techniques: A
  systematic literature review

A Machine Learning Approach to Digital Contact Tracing: TC4TL Challenge

E2EC: An End-to-End Contour-based Method for High-Quality High-Speed

AdaPT: Fast Emulation of Approximate DNN Accelerators in PyTorch

Geolocation estimation of target vehicles using image processing and
  geometric computation

Analyzing General-Purpose Deep-Learning Detection and Segmentation
  Models with Images from a Lidar as a Camera Sensor

Classification of Middle Tropospheric Systems over the Arabian Sea and
  Western India

Robot Learning of Mobile Manipulation with Reachability Behavior Priors

Graph Attention Transformer Network for Multi-Label Image Classification

Towards Generalized Models for Task-oriented Dialogue Modeling on Spoken
  Conversations

Bayesian Optimisation-Assisted Neural Network Training Technique for
  Radio Localisation

LSTMSPLIT: Effective SPLIT Learning based LSTM on Sequential Time-Series
  Data

Data augmentation with mixtures of max-entropy transformations for
  filling-level classification

Metal Wire Manipulation Planning for 3D Curving -- How a Low Payload
  Robot Can Use a Bending Machine to Bend Stiff Metal Wire

A Compilation Flow for the Generation of CNN Inference Accelerators on
  FPGAs

Mutual Contrastive Low-rank Learning to Disentangle Whole Slide Image
  Representations for Glioma Grading

Visual-Language Navigation Pretraining via Prompt-based Environmental
  Self-exploration

DeltaCNN: End-to-End CNN Inference of Sparse Frame Differences in Videos

Sparsification and Filtering for Spatial-temporal GNN in Multivariate
  Time-series

Adaptor: Objective-Centric Adaptation Framework for Language Models

Leveraging Randomized Smoothing for Optimal Control of Nonsmooth

Predictive and Contrastive: Dual-Auxiliary Learning for Recommendation

End-to-end Multiple Instance Learning with Gradient Accumulation

Human Biometric Signals Monitoring based on WiFi Channel State
  Information using Deep Learning

Online Weak-form Sparse Identification of Partial Differential Equations

Characterization of Low Surface Brightness structures in annotated deep
  images

Universal Prototype Transport for Zero-Shot Action Recognition and

On Generalizing Beyond Domains in Cross-Domain Continual Learning

Comparing lifetime learning methods for morphologically evolving robots

GaitStrip: Gait Recognition via Effective Strip-based Feature
  Representations and Multi-Level Framework

Few-Sample Traffic Prediction with Graph Networks using Locale as
  Relational Inductive Biases

Generative Cooperative Learning for Unsupervised Video Anomaly Detection

Enhancing Door-Status Detection for Autonomous Mobile Robots during
  Environment-Specific Operational Use

Efficient and Accurate Hyperspectral Pansharpening Using 3D VolumeNet
  and 2.5D Texture Transfer

Nonlinear Isometric Manifold Learning for Injective Normalizing Flows

PASS: Part-Aware Self-Supervised Pre-Training for Person

Quantifying Privacy Risks of Masked Language Models Using Membership
  Inference Attacks

CaSS: A Channel-aware Self-supervised Representation Learning Framework
  for Multivariate Time Series Classification

Residual Robot Learning for Object-Centric Probabilistic Movement

Estimating the average causal effect of intervention in continuous
  variables using machine learning

Language Matters: A Weakly Supervised Vision-Language Pre-training
  Approach for Scene Text Detection and Spotting

Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced
  Training for Neural Machine Translation

Graph Reinforcement Learning for Predictive Power Allocation to Mobile
  Users

InstructionNER: A Multi-Task Instruction-Based Generative Framework for
  Few-shot NER

Noisy Low-rank Matrix Optimization: Geometry of Local Minima and
  Convergence Rate

Rényi State Entropy for Exploration Acceleration in Reinforcement
  Learning

ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via
  Adversarial Rotation

Incentivizing Data Contribution in Cross-Silo Federated Learning

HyperPELT: Unified Parameter-Efficient Language Model Tuning for Both
  Language and Vision-and-Language Tasks

High-order Order Proximity-Incorporated, Symmetry and Graph-Regularized
  Nonnegative Matrix Factorization for Community Detection

Occupancy Flow Fields for Motion Forecasting in Autonomous Driving

Discriminability-Transferability Trade-Off: An Information-Theoretic

Reinforced MOOCs Concept Recommendation in Heterogeneous Information
  Networks

Where Does the Performance Improvement Come From? -- A Reproducibility
  Concern about Image-Text Retrieval

UniXcoder: Unified Cross-Modal Pre-training for Code Representation

Region Specific Optimization (RSO)-based Deep Interactive Registration

Self-supervised Social Relation Representation for Human Group Detection

NaviAirway: a Bronchiole-sensitive Deep Learning-based Airway
  Segmentation Pipeline

Multi-Scale Self-Contrastive Learning with Hard Negative Mining for
  Weakly-Supervised Query-based Video Grounding

Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point
  Clouds for Closing Domain Gap

Informative Planning for Worst-Case Error Minimisation in Sparse
  Gaussian Process Regression

GANSpiration: Balancing Targeted and Serendipitous Inspiration in User
  Interface Design with Style-Based Generative Adversarial Network

Incorporating Hierarchy into Text Encoder: a Contrastive Learning
  Approach for Hierarchical Text Classification

Uncertainty-aware molecular dynamics from Bayesian active learning:
  Phase Transformations and Thermal Transport in SiC

A Unified Framework of Medical Information Annotation and Extraction for
  Chinese Clinical Text

Shadows can be Dangerous: Stealthy and Effective Physical-world
  Adversarial Attack by Natural Phenomenon

Generating 3D Bio-Printable Patches Using Wound Segmentation and
  Reconstruction to Treat Diabetic Foot Ulcers

Towards performant and reliable undersampled MR reconstruction via
  diffusion model sampling

Towards Efficient Data-Centric Robust Machine Learning with Noise-based

Image Search with Text Feedback by Additive Attention Compositional
  Learning

A Fast Scale-Invariant Algorithm for Non-negative Least Squares with
  Non-negative Data

Photonic unsupervised learning processor for secure and high-throughput
  optical fiber communication

Unknown-Aware Object Detection: Learning What You Don't Know from Videos
  in the Wild

New Insights on Reducing Abrupt Representation Change in Online

Learning Sensorimotor Primitives of Sequential Manipulation Tasks from
  Visual Demonstrations

YONO: Modeling Multiple Heterogeneous Neural Networks on
  Microcontrollers

Data adaptive RKHS Tikhonov regularization for learning kernels in
  operators

A Survey on Reinforcement Learning Methods in Character Animation

Static Prediction of Runtime Errors by Learning to Execute Programs with
  External Resource Descriptions

Learning from Few Examples: A Summary of Approaches to Few-Shot Learning

CrowdFormer: Weakly-supervised Crowd counting with Improved
  Generalizability

Multi-scale Investigation of Chemical Short-Range Order and Dislocation
  Glide in the MoNbTi and TaNbTi Refractory Multi-Principal Element Alloys

Defending Graph Convolutional Networks against Dynamic Graph
  Perturbations via Bayesian Self-supervision

The Fundamental Price of Secure Aggregation in Differentially Private

Using Statistical Models to Detect Occupancy in Buildings through
  Monitoring VOC, CO$_2$, and other Environmental Factors

A Novel Physics-Regularized Interpretable Machine Learning Model for
  Grain Growth

A Push-Relabel Based Additive Approximation for Optimal Transport

Provably Accurate and Scalable Linear Classifiers in Hyperbolic Spaces

Low-Loss Subspace Compression for Clean Gains against Multi-Agent
  Backdoor Attacks

Learn to Match with No Regret: Reinforcement Learning in Markov Matching
  Markets

Monocular Robot Navigation with Self-Supervised Pretrained Vision

Quasar photometric redshifts from incomplete data using Deep Learning

Learning Resilient Radio Resource Management Policies with Graph Neural
  Networks

Object-centric and memory-guided normality reconstruction for video

AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment
  of Implicit Graph Generators

A simple guide from Machine Learning outputs to statistical criteria

Unsupervised Domain Adaptation with Contrastive Learning for OCT

Deep learning and Bayesian inference of gravitational-wave populations:
  Hierarchical black-hole mergers

Bayesian Bilinear Neural Network for Predicting the Mid-price Dynamics
  in Limit-Order Book Markets

ZippyPoint: Fast Interest Point Detection, Description, and Matching
  through Mixed Precision Discretization

I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality
  Enhancement through Islandization

Differential Privacy Amplification in Quantum and Quantum-inspired

Audio-visual Generalised Zero-shot Learning with Cross-modal Attention
  and Language

Fast Rates for Noisy Interpolation Require Rethinking the Effects of

Continual and Sliding Window Release for Private Empirical Risk

Quantum Local Differential Privacy and Quantum Statistical Query Model

On the pitfalls of entropy-based uncertainty for multi-class
  semi-supervised segmentation

The Unsurprising Effectiveness of Pre-Trained Vision Models for Control

Domain Adaptation of Automated Treatment Planning from Computed
  Tomography to Magnetic Resonance

Shift-Robust Node Classification via Graph Adversarial Clustering

An Unsupervised Domain Adaptive Approach for Multimodal 2D Object
  Detection in Adverse Weather Conditions

Improved Search of Relevant Points for Nearest-Neighbor Classification

TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs

Hands-free Telelocomotion of a Wheeled Humanoid toward Dynamic Mobile
  Manipulation via Teleoperation

Influencing Long-Term Behavior in Multiagent Reinforcement Learning

E-detectors: a nonparametric framework for online changepoint detection

ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness
  against Adversarial Patches

Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review

On observability and optimal gain design for distributed linear
  filtering and prediction

Weakly Supervised Learning of Keypoints for 6D Object Pose Estimation

DATGAN: Integrating expert knowledge into deep learning for synthetic
  tabular data

Self-directed Learning of Action Models using Exploratory Planning

Teleconnection patterns of different El Niño types revealed by climate
  network curvature

Towards Unbiased Multi-label Zero-Shot Learning with Pyramid and
  Semantic Attention

EEG to fMRI Synthesis Benefits from Attentional Graphs of Electrode
  Relationships

Solving the Initial Value Problem of Ordinary Differential Equations by
  Lie Group based Neural Network Method

State space partitioning based on constrained spectral clustering for
  block particle filtering

Tensor Programs V: Tuning Large Neural Networks via Zero-Shot
  Hyperparameter Transfer

Robust Modeling of Unknown Dynamical Systems via Ensemble Averaged
  Learning

Graph Neural Networks for Image Classification and Reinforcement
  Learning using Graph representations

Black-Box Safety Validation of Autonomous Systems: A Multi-Fidelity

Using machine learning to auto-tune chi-squared tests for gravitational
  wave searches

Machine learning using longitudinal prescription and medical claims for
  the detection of nonalcoholic steatohepatitis (NASH)

S-Rocket: Selective Random Convolution Kernels for Time Series

Self-supervised learning for analysis of temporal and morphological drug
  effects in cancer cell imaging data

Multilevel Monte Carlo with Surrogate Models for Resource Adequacy

Comparing representations of biological data learned with different AI
  paradigms, augmenting and cropping strategies

Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch
  Decoder Network

Learning Solution Manifolds for Control Problems via Energy Minimization

Multivariate Time Series Forecasting with Latent Graph Inference

Scalable multi-agent reinforcement learning for distributed control of
  residential energy flexibility

Estimation and Model Misspecification: Fake and Missing Features

Switching in the Rain: Predictive Wireless x-haul Network
  Reconfiguration

An STDP-Based Supervised Learning Algorithm for Spiking Neural Networks

A Unified Formulation of Geometry-aware Dynamic Movement Primitives

Machine Learning to identify ICL and BCG in simulated galaxy clusters

Reliably Re-Acting to Partner's Actions with the Social Intrinsic
  Motivation of Transfer Empowerment

Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for
  Approximate Bayesian Inference

Unsupervised Image Registration Towards Enhancing Performance and
  Explainability in Cardiac And Brain Image Analysis

Learning to Ground Decentralized Multi-Agent Communication with

High-Resolution Peak Demand Estimation Using Generalized Additive Models
  and Deep Neural Networks

Recovering single precision accuracy from Tensor Cores while surpassing
  the FP32 theoretical peak performance

L2CS-Net: Fine-Grained Gaze Estimation in Unconstrained Environments

Joint brain tumor segmentation from multi MR sequences through a deep

A novel shape-based loss function for machine learning-based seminal
  organ segmentation in medical imaging

Continuous Self-Localization on Aerial Images Using Visual and Lidar
  Sensors

Innovating at Speed and at Scale: A Next Generation Infrastructure for
  Accelerating Semiconductor Technologies

Automated Few-Shot Time Series Forecasting based on Bi-level Programming

Clustering and classification of low-dimensional data in explicit
  feature map domain: intraoperative pixel-wise diagnosis of adenocarcinoma of
  a colon in a liver

SkillNet-NLU: A Sparsely Activated Model for General-Purpose Natural

Comprehensive Review of Deep Learning-Based 3D Point Cloud Completion
  Processing and Analysis

Parallel Training of GRU Networks with a Multi-Grid Solver for Long
  Sequences

Regularising for invariance to data augmentation improves supervised
  learning

Machine Learning based Anomaly Detection for Smart Shirt: A Systematic
  Review

Pressure Ulcer Categorisation using Deep Learning: A Clinical Trial to
  Evaluate Model Performance

Neural network approach to reconstructing spectral functions and complex
  poles of confined particles

Evaluating State of the Art, Forecasting Ensembles- and Meta-learning
  Strategies for Model Fusion

Efficient Policy Generation in Multi-Agent Systems via Hypergraph Neural
  Network

Predicting Bearings' Degradation Stages for Predictive Maintenance in
  the Pharmaceutical Industry

Dynamic MLP for Fine-Grained Image Classification by Leveraging
  Geographical and Temporal Information

Novel Architecture of Parameterized Quantum Circuit for Graph

Comparison of Spatio-Temporal Models for Human Motion and Pose
  Forecasting in Face-to-Face Interaction Scenarios

A deep branching solver for fully nonlinear partial differential
  equations

Knowledge Transfer in Deep Reinforcement Learning for Slice-Aware
  Mobility Robustness Optimization

Generalized Spectral Clustering for Directed and Undirected Graphs

Maximizing Conditional Independence for Unsupervised Domain Adaptation

Trajectory Test-Train Overlap in Next-Location Prediction Datasets

Undersampled MRI Reconstruction with Side Information-Guided
  Normalisation

Language-Agnostic Meta-Learning for Low-Resource Text-to-Speech with
  Articulatory Features

Speaker recognition by means of a combination of linear and nonlinear
  predictive models

A comparative study of several ADPCM schemes with linear and nonlinear

Bandits Corrupted by Nature: Lower Bounds on Regret and Robust
  Optimistic Algorithm

Covariate-Balancing-Aware Interpretable Deep Learning models for
  Treatment Effect Estimation

Dynamic Template Selection Through Change Detection for Adaptive Siamese
  Tracking

Safe Learning-Based Feedback Linearization Tracking Control for
  Nonlinear System with Event-Triggered Model Update

Detecting data-driven robust statistical arbitrage strategies with deep

Risk Bounds of Multi-Pass SGD for Least Squares in the Interpolation
  Regime

Fast Community Detection based on Graph Autoencoder Reconstruction

On the Construction of Distribution-Free Prediction Intervals for an
  Image Regression Problem in Semiconductor Manufacturing

An Improved Automatic Modulation Classification Scheme Based on Adaptive
  Fusion Network

MSDN: Mutually Semantic Distillation Network for Zero-Shot Learning

Searching for Robust Neural Architectures via Comprehensive and Reliable

P2M: A Processing-in-Pixel-in-Memory Paradigm for Resource-Constrained
  TinyML Applications

Physical discovery in representation learning via conditioning on prior
  knowledge: applications for ferroelectric domain dynamics

Who Should Review Your Proposal? Interdisciplinary Topic Path Detection
  for Research Proposals

Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process
  Regression with Matérn Correlations

Co-Optimization of On-Ramp Merging and Plug-In Hybrid Electric Vehicle
  Power Split Using Deep Reinforcement Learning

Matrix Decomposition Perspective for Accuracy Assessment of Item
  Response Theory

Cascaded Gaps: Towards Gap-Dependent Regret for Risk-Sensitive

Combining Individual and Joint Networking Behavior for Intelligent IoT
  Analytics

Differentially Private Federated Learning with Local Regularization and

Prediction of transport property via machine learning molecular
  movements

HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident
  Forecasting on Heterogeneous Spatio-Temporal Data

Systematic Comparison of Path Planning Algorithms using PathBench

HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly
  Unlabeled Mobile Sensor Data

Charge Transfer Simulations using Hamiltonian Elements and Forces from

GlideNet: Global, Local and Intrinsic based Dense Embedding NETwork for
  Multi-category Attributes Prediction

Fast and Data Efficient Reinforcement Learning from Pixels via
  Non-Parametric Value Approximation

Virtual vs. Reality: External Validation of COVID-19 Classifiers using
  XCAT Phantoms for Chest Computed Tomography

Leashing the Inner Demons: Self-Detoxification for Language Models

Story Point Effort Estimation by Text Level Graph Neural Network

Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta
  Learning, Provably?

Social-Implicit: Rethinking Trajectory Prediction Evaluation and The
  Effectiveness of Implicit Maximum Likelihood Estimation

Scalable Uncertainty Quantification for Deep Operator Networks using
  Randomized Priors

Frames for Graph Signals on the Symmetric Group: A Representation
  Theoretic Approach

A Unified View of SDP-based Neural Network Verification through
  Completely Positive Programming

Deep Reinforcement Learning based Model-free On-line Dynamic
  Multi-Microgrid Formation to Enhance Resilience

Hierarchically Structured Scheduling and Execution of Tasks in a
  Multi-Agent Environment

A Composable Framework for Policy Design, Learning, and Transfer Toward
  Safe and Efficient Industrial Insertion

Semantic-Aware Latent Space Exploration for Face Image Restoration

Vulnerability Detection in Open Source Software: An Introduction

Offline Deep Reinforcement Learning for Dynamic Pricing of Consumer
  Credit

Smoothing with the Best Rectangle Window is Optimal for All Tapered
  Rectangle Windows

Dynamic Key-value Memory Enhanced Multi-step Graph Reasoning for

A Hard and Soft Hybrid Slicing Framework for Service Level Agreement
  Guarantee via Deep Reinforcement Learning

Improved Quantum Query Upper Bounds Based on Classical Decision Trees

Exploring Optical-Flow-Guided Motion and Detection-Based Appearance for
  Temporal Sentence Grounding

A Perspective on Robotic Telepresence and Teleoperation using Cognition:
  Are we there yet?

Towards a Responsible AI Development Lifecycle: Lessons From Information
  Security

On the importance of stationarity, strong baselines and benchmarks in
  transport prediction problems

Conditional Bilingual Mutual Information Based Adaptive Training for

Linien: A versatile, user-friendly, open-source FPGA-based tool for
  frequency stabilization and spectroscopy parameter optimization

On Steering Multi-Annotations per Sample for Multi-Task Learning

Detection of Parasitic Eggs from Microscopy Images and the emergence of
  a new dataset

Doctor Recommendation in Online Health Forums via Expertise Learning

Evaluation of Interpretability Methods and Perturbation Artifacts in

Enabling Automated Machine Learning for Model-Driven AI Engineering

GeoDiff: a Geometric Diffusion Model for Molecular Conformation

Exploring Dual-task Correlation for Pose Guided Person Image Generation

A Robust Framework of Chromosome Straightening with ViT-Patch GAN

Depthwise Convolution for Multi-Agent Communication with Enhanced
  Mean-Field Approximation

A Multi-Document Coverage Reward for RELAXed Multi-Document

Watch from sky: machine-learning-based multi-UAV network for predictive
  police surveillance

Multi-class Token Transformer for Weakly Supervised Semantic

Focus on the Target's Vocabulary: Masked Label Smoothing for Machine

Towards Self-Supervised Category-Level Object Pose and Size Estimation

A Survey for Solving Mixed Integer Programming via Machine Learning

MIRROR: Differentiable Deep Social Projection for Assistive Human-Robot

Diffusion Maps : Using the Semigroup Property for Parameter Tuning

Fully Decentralized, Scalable Gaussian Processes for Multi-Agent

Compartmental Models for COVID-19 and Control via Policy Interventions

Leveraging Reward Gradients For Reinforcement Learning in Differentiable
  Physics Simulations

Hybrid Deep Learning Model using SPCAGAN Augmentation for Insider Threat
  Analysis

Variable Selection with the Knockoffs: Composite Null Hypotheses

Recursive Reasoning Graph for Multi-Agent Reinforcement Learning

Deep Regression of Muon Energy with a K-Nearest Neighbor Algorithm

Algorithmic Regularization in Model-free Overparametrized Asymmetric
  Matrix Factorization

Recursive Monte Carlo and Variational Inference with Auxiliary Variables

Distributional Hardness Against Preconditioned Lasso via Erasure-Robust
  Designs

Bathymetry Inversion using a Deep-Learning-Based Surrogate for Shallow
  Water Equations Solvers

Fuzzy Forests For Feature Selection in High-Dimensional Survey Data: An
  Application to the 2020 U.S. Presidential Election

Coordinate Translator for Learning Deformable Medical Image Registration

ClueGraphSum: Let Key Clues Guide the Cross-Lingual Abstractive

Machine Learning Applications in Lung Cancer Diagnosis, Treatment and
  Prognosis

Adversarial Dual-Student with Differentiable Spatial Warping for

Deep Q-Learning Based Resource Allocation in Interference Systems With

A Robust Spectral Algorithm for Overcomplete Tensor Decomposition

AI for Next Generation Computing: Emerging Trends and Future Directions

Don't Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing

Towards Robust Part-aware Instance Segmentation for Industrial Bin
  Picking

Bridging the Gap Between Learning in Discrete and Continuous
  Environments for Vision-and-Language Navigation

DrawingInStyles: Portrait Image Generation and Editing with Spatially
  Conditioned StyleGAN

MetaFormer: A Unified Meta Framework for Fine-Grained Recognition

The Impact of Differential Privacy on Group Disparity Mitigation

Flurry: a Fast Framework for Reproducible Multi-layered Provenance Graph

Convergence of the Distributed SG Algorithm Under Cooperative Excitation
  Condition

MaxDropoutV2: An Improved Method to Drop out Neurons in Convolutional

A Novel Dual Dense Connection Network for Video Super-resolution

Consistent Representation Learning for Continual Relation Extraction

DroidRL: Reinforcement Learning Driven Feature Selection for Android
  Malware Detection

KPF-AE-LSTM: A Deep Probabilistic Model for Net-Load Forecasting in High
  Solar Scenarios

AI-aided Traffic Control Scheme for M2M Communications in the Internet
  of Vehicles

Federated and Generalized Person Re-identification through Domain and
  Feature Hallucinating

Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object
  Detection

EsDNN: Deep Neural Network based Multivariate Workload Prediction
  Approach in Cloud Environment

Thermal Hysteresis Behavior of Skyrmion Lattices in the van der Waals
  Ferromagnet Fe3GeTe2

Deep-ASPECTS: A Segmentation-Assisted Model for Stroke Severity
  Measurement

Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic
  Segmentation with Transformers

MVD: Memory-Related Vulnerability Detection Based on Flow-Sensitive

Audio-visual speech separation based on joint feature representation
  with cross-modal attention

Unfreeze with Care: Space-Efficient Fine-Tuning of Semantic Parsing
  Models

Ensemble Knowledge Guided Sub-network Search and Fine-tuning for Filter
  Pruning

Vision-based Distributed Multi-UAV Collision Avoidance via Deep
  Reinforcement Learning for Navigation

Cluster-based Contrastive Disentangling for Generalized Zero-Shot
  Learning

Acceleration of Federated Learning with Alleviated Forgetting in Local
  Training

Training privacy-preserving video analytics pipelines by suppressing
  features that reveal information about private attributes

Important Object Identification with Semi-Supervised Learning for

Extracting linguistic speech patterns of Japanese fictional characters
  using subword units

Target Network and Truncation Overcome The Deadly Triad in $Q$-Learning

Low-cost prediction of molecular and transition state partition
  functions via machine learning

Plant Species Recognition with Optimized 3D Polynomial Neural Networks
  and Variably Overlapping Time-Coherent Sliding Window

Reinforcement Learning in Modern Biostatistics: Constructing Optimal
  Adaptive Interventions

Geodesic Gramian Denoising Applied to the Images Contaminated With Noise
  Sampled From Diverse Probability Distributions

Sparsity-Inducing Categorical Prior Improves Robustness of the

Virtual Histological Staining of Label-Free Total Absorption
  Photoacoustic Remote Sensing (TA-PARS)

Online Learning of Reusable Abstract Models for Object Goal Navigation

Show Me What and Tell Me How: Video Synthesis via Multimodal
  Conditioning

Bayesian Optimization Meets Hybrid Zero Dynamics: Safe Parameter
  Learning for Bipedal Locomotion Control

A Semi-Monolithic Detector providing intrinsic DOI-encoding and sub-200
  ps CRT TOF-Capabilities for Clinical PET Applications

BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive
  Pseudo Labeling and Informative Active Annotation

HyperTransformer: A Textural and Spectral Feature Fusion Transformer for
  Pansharpening

Computational Fluid Dynamics and Machine Learning as tools for
  Optimization of Micromixers geometry

Greedy Optimization of Electrode Arrangement for Epiretinal Prostheses

Behavioural Curves Analysis Using Near-Infrared-Iris Image Sequences

The Familiarity Hypothesis: Explaining the Behavior of Deep Open Set
  Methods

AutoDIME: Automatic Design of Interesting Multi-Agent Environments

Didn't see that coming: a survey on non-verbal social human behavior

Rate-Distortion Theoretic Generalization Bounds for Stochastic Learning

Surviving The Barren Plateau in Variational Quantum Circuits with
  Bayesian Learning Initialization

From Simultaneous to Streaming Machine Translation by Leveraging
  Streaming History

Contextformer: A Transformer with Spatio-Channel Attention for Context
  Modeling in Learned Image Compression

The coherent Ising machine with quantum feedback: the total and
  conditional master equation methods

AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model
  Deployment

One-to-one correspondence between thermal structure factors and coupling
  constants of general bilinear Hamiltonians

The Machine Learning for Combinatorial Optimization Competition (ML4CO):
  Results and Insights

Improving \textit{Tug-of-War} sketch using Control-Variates method

Sparse InSAR Data 3D Inpainting for Ground Deformation Detection Along
  the Rail Corridor

Differentiable Control Barrier Functions for Vision-based End-to-End

Quantum Approximate Optimization Algorithm for Bayesian network
  structure learning

Benchmarking Counterfactual Algorithms for XAI: From White Box to Black
  Box

iSTFTNet: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating
  Inverse Short-Time Fourier Transform

Targeted Data Poisoning Attack on News Recommendation System by Content

Machine-learning enabled thermodynamic model for the design of new
  rare-earth compounds

Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D
  Networks for 3D Coherent Layer Segmentation of Retina OCT Images

Self-Supervised Learning for Joint Pushing and Grasping Policies in
  Highly Cluttered Environments

Learning Goal-Oriented Non-Prehensile Pushing in Cluttered Scenes

AutoMO-Mixer: An automated multi-objective Mixer model for balanced,
  safe and robust prediction in medicine

Distributed Methods with Absolute Compression and Error Compensation

Where to Look Next: Learning Viewpoint Recommendations for Informative
  Trajectory Planning

Exploring Scalable, Distributed Real-Time Anomaly Detection for Bridge
  Health Monitoring

Cellular Segmentation and Composition in Routine Histology Images using

A Star-sized Impact-Produced Dust Clump in the Terrestrial Zone of the
  HD 166191 System

Boosting the Performance of Quantum Annealers using Machine Learning

ViT-P: Rethinking Data-efficient Vision Transformers from Locality

Distributed Online Learning for Coexistence in Cognitive Radar Networks

Adaptive Semi-Supervised Inference for Optimal Treatment Decisions with
  Electronic Medical Record Data

Mixed Reality Depth Contour Occlusion Using Binocular Similarity
  Matching and Three-dimensional Contour Optimisation

Evaluating Local Model-Agnostic Explanations of Learning to Rank Models
  with Decision Paths

Adaptive Security and Trust Management for Autonomous Messaging Systems

Integrating Statistical Uncertainty into Neural Network-Based Speech

Semi-parametric Makeup Transfer via Semantic-aware Correspondence

Feature Transformation for Cross-domain Few-shot Remote Sensing Scene

PercepNet+: A Phase and SNR Aware PercepNet for Real-Time Speech

Detecting GAN-generated Images by Orthogonal Training of Multiple CNNs

IISERB Brains at SemEval 2022 Task 6: A Deep-learning Framework to
  Identify Intended Sarcasm in English

OPAL: Occlusion Pattern Aware Loss for Unsupervised Light Field
  Disparity Estimation

Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement
  Learning

ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer
  for Event-Centric Generation and Classification

Look\&Listen: Multi-Modal Correlation Learning for Active Speaker
  Detection and Speech Enhancement

Plan Your Target and Learn Your Skills: Transferable State-Only
  Imitation Learning via Decoupled Policy Optimization

Evaluating the Consequences of Object (mis)Detection from a Safety and
  Reliability Perspective: Discussion and Measures

Carbon Footprint of Selecting and Training Deep Learning Models for

Data Augmentation Empowered Neural Precoding for Multiuser MIMO with
  MMSE Model

Rethinking Reconstruction Autoencoder-Based Out-of-Distribution
  Detection

Selective Pseudo-labeling and Class-wise Discriminative Fusion for Sound
  Event Detection

Matrix Completion via Non-Convex Relaxation and Adaptive Correlation
  Learning

EAG: Extract and Generate Multi-way Aligned Corpus for Complete
  Multi-lingual Neural Machine Translation

Passive and Active Learning of Driver Behavior from Electric Vehicles

GCNet: Graph Completion Network for Incomplete Multimodal Learning in

Semantic-Aware Representation Blending for Multi-Label Image Recognition
  with Partial Labels

SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained

Convolutional Analysis Operator Learning by End-To-End Training of
  Iterative Neural Networks

MF-Hovernet: An Extension of Hovernet for Colon Nuclei Identification
  and Counting (CoNiC) Challenge

Deep Learning Neural Networks for Emotion Classification from Text:
  Enhanced Leaky Rectified Linear Unit Activation and Weighted Loss

Transformations in Learned Image Compression from a Modulation

PatchMVSNet: Patch-wise Unsupervised Multi-View Stereo for
  Weakly-Textured Surface Reconstruction

Training language models to follow instructions with human feedback

Time-aware Graph Neural Networks for Entity Alignment between Temporal

HDNet: High-resolution Dual-domain Learning for Spectral Compressive
  Imaging

Continual Few-shot Relation Learning via Embedding Space Regularization

Distributionally Robust Bayesian Optimization with $φ$-divergences

Ultrasound-Guided Assistive Robots for Scoliosis Assessment with
  Optimization-based Control and Variable Impedance

Exploration of Various Deep Learning Models for Increased Accuracy in
  Automatic Polyp Detection

Abuse and Fraud Detection in Streaming Services Using Heuristic-Aware

Detecting Offensive Language on Social Networks: An End-to-end Detection
  Method based on Graph Attention Networks

Adversarial Patterns: Building Robust Android Malware Classifiers

A Deep Learning Framework for Nuclear Segmentation and Classification in
  Histopathological Images

GraspARL: Dynamic Grasping via Adversarial Reinforcement Learning

In the Service of Online Order: Tackling Cyber-Bullying with Machine
  Learning and Affect Analysis

Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving

FairPrune: Achieving Fairness Through Pruning for Dermatological Disease
  Diagnosis

Learning Category-Level Generalizable Object Manipulation Policy via
  Generative Adversarial Self-Imitation Learning from Demonstrations

Scribble-Supervised Medical Image Segmentation via Dual-Branch Network
  and Dynamically Mixed Pseudo Labels Supervision

Contrastive Graph Convolutional Networks for Hardware Trojan Detection
  in Third Party IP Cores

LiteTransformerSearch: Training-free Neural Architecture Search for
  Efficient Language Models

Teaching Robots to Span the Space of Functional Expressive Motion

WPNAS: Neural Architecture Search by jointly using Weight Sharing and
  Predictor

TransMUSE: Transferable Traffic Prediction in MUlti-Service EdgeNetworks

User-Level Membership Inference Attack against Metric Embedding Learning

X2T: Training an X-to-Text Typing Interface with Online Learning from
  User Feedback

Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive

Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through
  Self-Supervision With Supervoxels

Automatic Detection and Segmentation of Postoperative Cerebellar Damage
  Based on Normalization

Attention-based Region of Interest (ROI) Detection for Speech Emotion

Post-Error Correction for Quantum Annealing Processor using

Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge
  Transfer Networks

Interventions, Where and How? Experimental Design for Causal Models at
  Scale

Synthetic Defect Generation for Display Front-of-Screen Quality
  Inspection: A Survey

FewSense, Towards a Scalable and Cross-Domain Wi-Fi Sensing System Using

DIME: Fine-grained Interpretations of Multimodal Models via Disentangled
  Local Explanations

On consistency of constrained spectral clustering under
  representation-aware stochastic block model

LegalVis: Exploring and Inferring Precedent Citations in Legal Documents

Multi-objective robust optimization using adaptive surrogate models for
  problems with mixed continuous-categorical parameters

Enhanced physics-constrained deep neural networks for modeling vanadium
  redox flow battery

Implicit Kinematic Policies: Unifying Joint and Cartesian Action Spaces
  in End-to-End Robot Learning

Towards Rich, Portable, and Large-Scale Pedestrian Data Collection

Learning Time-optimized Path Tracking with or without Sensory Feedback

Improvements to Gradient Descent Methods for Quantum Tensor Network

All-purpose, all-sky photometric redshifts for the Legacy Imaging
  Surveys Data Release 8

CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and
  Categorical 6D Pose and Size Estimation

Min-Max Bilevel Multi-objective Optimization with Applications in

A New Era: Intelligent Tutoring Systems Will Transform Online Learning
  for Millions

Vision-Language Intelligence: Tasks, Representation Learning, and Large
  Models

NUQ: A Noise Metric for Diffusion MRI via Uncertainty Discrepancy

Investigating the limited performance of a deep-learning-based SPECT
  denoising approach: An observer-study-based characterization

NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance
  Fields

An Adaptive Human Driver Model for Realistic Race Car Simulations

Computer Vision Aided Blockage Prediction in Real-World Millimeter Wave
  Deployments

Pay Attention to Relations: Multi-embeddings for Attributed Multiplex
  Networks

Improving Health Mentioning Classification of Tweets using Contrastive

Reconstruction of univariate functions from directional persistence
  diagrams

Graph Neural Networks for Multimodal Single-Cell Data Integration

Distantly Supervised Named Entity Recognition via Confidence-Based
  Multi-Class Positive and Unlabeled Learning

ROCT-Net: A new ensemble deep convolutional model with improved spatial
  resolution learning for detecting common diseases from retinal OCT images

DenseUNets with feedback non-local attention for the segmentation of
  specular microscopy images of the corneal endothelium with guttae

Don't Roll the Dice, Ask Twice: The Two-Query Distortion of Matching
  Problems and Beyond

KamNet: An Integrated Spatiotemporal Deep Neural Network for Rare Event
  Search in KamLAND-Zen

Gaussian Process-based Spatial Reconstruction of Electromagnetic fields

Bilateral Deep Reinforcement Learning Approach for Better-than-human Car
  Following Model

The world seems different in a social context: a neural network analysis
  of human experimental data

Robust PAC$^m$: Training Ensemble Models Under Model Misspecification
  and Outliers

Reasoning about Counterfactuals to Improve Human Inverse Reinforcement
  Learning

A study on the distribution of social biases in self-supervised learning
  visual models

Efficient Video Instance Segmentation via Tracklet Query and Proposal

STUN: Self-Teaching Uncertainty Estimation for Place Recognition

Nonlinear Reduced Order Modelling of Soil Structure Interaction Effects
  via LSTM and Autoencoder Neural Networks

Intention Aware Robot Crowd Navigation with Attention-Based Interaction
  Graph

Deep Learning-Based Joint Control of Acoustic Echo Cancellation,
  Beamforming and Postfiltering

Generative Modeling for Low Dimensional Speech Attributes with Neural
  Spline Flows

On Learning Contrastive Representations for Learning with Noisy Labels

A multi-stream convolutional neural network for classification of
  progressive MCI in Alzheimer's disease using structural MRI images

NeuroFluid: Fluid Dynamics Grounding with Particle-Driven Neural
  Radiance Fields

Doubly Robust Calibration of Prediction Sets under Covariate Shift

On Practical Reinforcement Learning: Provable Robustness, Scalability,
  and Statistical Efficiency

PINA: Learning a Personalized Implicit Neural Avatar from a Single RGB-D
  Video Sequence

Vertical Federated Principal Component Analysis and Its Kernel Extension
  on Feature-wise Distributed Data

SaPHyRa: A Learning Theory Approach to Ranking Nodes in Large Networks

Modality-Adaptive Mixup and Invariant Decomposition for RGB-Infrared
  Person Re-Identification

Ensembles of Vision Transformers as a New Paradigm for Automated
  Classification in Ecology

Debiased Batch Normalization via Gaussian Process for Generalizable

Why Do Machine Learning Practitioners Still Use Manual Tuning? A
  Qualitative Study

Detecting High-Quality GAN-Generated Face Images using Neural Networks

Testing Stationarity and Change Point Detection in Reinforcement
  Learning

Capturing Shape Information with Multi-Scale Topological Loss Terms for
  3D Reconstruction

Statistical visualisation for tidy and geospatial data in R via kernel
  smoothing methods in the eks package

Intrinsically-Motivated Reinforcement Learning: A Brief Introduction

Quantity over Quality: Training an AV Motion Planner with Large Scale
  Commodity Vision Data

Detection of Word Adversarial Examples in Text Classification: Benchmark
  and Baseline via Robust Density Estimation

Cross-Modality Earth Mover's Distance for Visible Thermal Person

Adaptive machine learning based surrogate modeling to accelerate
  PDE-constrained optimization in enhanced oil recovery

A Simple Hash-Based Early Exiting Approach For Language Understanding
  and Generation

Translational Lung Imaging Analysis Through Disentangled Representations

Joint Probability Estimation Using Tensor Decomposition and Dictionaries

$β$-DARTS: Beta-Decay Regularization for Differentiable Architecture
  Search

Tail-GAN: Nonparametric Scenario Generation for Tail Risk Estimation

The Exosphere as a Boundary: Origin and Evolution of Airless Bodies in
  the Inner Solar System and Beyond Including Planets with Silicate Atmospheres

On partitioning of an SHM problem and parallels with transfer learning

Optimized cost function for demand response coordination of multiple EV
  charging stations using reinforcement learning

Informative Path Planning for Active Learning in Aerial Semantic Mapping

On an application of graph neural networks in population based SHM

UDAAN: Machine Learning based Post-Editing tool for Document Translation

Adaptive Path Planning for UAVs for Multi-Resolution Semantic

On generating parametrised structural data using conditional generative
  adversarial networks

Fully-Connected Network on Noncompact Symmetric Space and Ridgelet
  Transform based on Helgason-Fourier Analysis

Learning Selection Bias and Group Importance: Differentiable
  Reparameterization for the Hypergeometric Distribution

Early Time-Series Classification Algorithms: An Empirical Comparison

Physics-Data Driven Machine Learning Based Model: A Hybrid Way for
  Nonlinear, Dynamic, and Open-loop Identification of IPMC Soft Artificial
  Muscles

Entanglement quantification from collective measurements processed by

Ensemble Methods for Robust Support Vector Machines using Integer

Uniform Approximations for Randomized Hadamard Transforms with

A Deep Neural Framework for Image Caption Generation Using GRU-Based
  Attention Mechanism

Reconfigurable Intelligent Surface Assisted OFDM Relaying: Subcarrier
  Matching with Balanced SNR

Fairness-aware Adversarial Perturbation Towards Bias Mitigation for
  Deployed Deep Models

A shallow physics-informed neural network for solving partial
  differential equations on surfaces

Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping
  through Continual Learning

Occlusion-Aware Cost Constructor for Light Field Depth Estimation

Automated Single-Label Patent Classification using Ensemble Classifiers

Representing Mixtures of Word Embeddings with Mixtures of Topic

ViTransPAD: Video Transformer using convolution and self-attention for
  Face Presentation Attack Detection

Self-Supervised Ego-Motion Estimation Based on Multi-Layer Fusion of RGB
  and Inferred Depth

DareFightingICE Competition: A Fighting Game Sound Design and AI
  Competition

Semantic-guided Image Virtual Attribute Learning for Noisy Multi-label
  Chest X-ray Classification

Comparison of LSTM autoencoder based deep learning enabled Bayesian
  inference using two time series reconstruction approaches

Automated clustering of COVID-19 anti-vaccine discourse on Twitter

The RATTLE Motion Planning Algorithm for Robust Online Parametric Model
  Improvement with On-Orbit Validation

Rethinking the role of normalization and residual blocks for spiking

QaNER: Prompting Question Answering Models for Few-shot Named Entity

Self-supervised Transparent Liquid Segmentation for Robotic Pouring

ARM 4-BIT PQ: SIMD-based Acceleration for Approximate Nearest Neighbor
  Search on ARM

Exploring Patch-wise Semantic Relation for Contrastive Learning in
  Image-to-Image Translation Tasks

BatchFormer: Learning to Explore Sample Relationships for Robust

An Open Challenge for Inductive Link Prediction on Knowledge Graphs

Correct-N-Contrast: A Contrastive Approach for Improving Robustness to
  Spurious Correlations

Code Synonyms Do Matter: Multiple Synonyms Matching Network for
  Automatic ICD Coding

Physics-informed neural network solution of thermo-hydro-mechanical
  (THM) processes in porous media

Large-scale Optimization of Partial AUC in a Range of False Positive
  Rates

The Dynamics of Q-learning in Population Games: a Physics-Inspired
  Continuity Equation Model

A photonic chip-based machine learning approach for the prediction of
  molecular properties

The Best of Both Worlds: Reinforcement Learning with Logarithmic Regret
  and Policy Switches

Modularity of the ABCD Random Graph Model with Community Structure

CycleMix: A Holistic Strategy for Medical Image Segmentation from
  Scribble Supervision

Spatio-Temporal Gating-Adjacency GCN for Human Motion Prediction

Nuclei instance segmentation and classification in histopathology images
  with StarDist

A Correlation Thresholding Algorithm for Learning Factor Analysis Models

Quality or Quantity: Toward a Unified Approach for Multi-organ
  Segmentation in Body CT

Polar Transformation Based Multiple Instance Learning Assisting Weakly
  Supervised Image Segmentation With Loose Bounding Box Annotations

Successful Recovery of an Observed Meteorite Fall Using Drones and

Deep Q-network using reservoir computing with multi-layered readout

Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian
  Processes

Bending Reality: Distortion-aware Transformers for Adapting to Panoramic

Label Leakage and Protection from Forward Embedding in Vertical

Learning Stochastic Parametric Differentiable Predictive Control
  Policies

LILE: Look In-Depth before Looking Elsewhere -- A Dual Attention Network
  using Transformers for Cross-Modal Information Retrieval in Histopathology
  Archives

Temporal Context Matters: Enhancing Single Image Prediction with Disease
  Progression Representations

SPICEprop: Backpropagating Errors Through Memristive Spiking Neural
  Networks

Estimating Conditional Average Treatment Effects with Missing Treatment

A Fully Memristive Spiking Neural Network with Unsupervised Learning

Self-Supervised Online Learning for Safety-Critical Control using Stereo
  Vision

Detecting Chronic Kidney Disease(CKD) at the Initial Stage: A Novel
  Hybrid Feature-selection Method and Robust Data Preparation Pipeline for
  Different ML Techniques

Skew-Symmetric Adjacency Matrices for Clustering Directed Graphs

A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open
  Problems

Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot

Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data

Stable and Semi-stable Sampling Approaches for Continuously Used Samples

Homogeneous ice nucleation in an ab initio machine learning model of
  water

Faking feature importance: A cautionary tale on the use of
  differentially-private synthetic data

Neural Galerkin Scheme with Active Learning for High-Dimensional
  Evolution Equations

Machine-learned model Hamiltonian and strength of spin-orbit interaction
  in strained Mg2X (X = Si, Ge, Sn, Pb)

Creating Simple, Interpretable Anomaly Detectors for New Physics in Jet

Is quantum advantage the right goal for quantum machine learning?

HighMMT: Towards Modality and Task Generalization for High-Modality

Understanding microbiome dynamics via interpretable graph representation
  learning

STEADY: Simultaneous State Estimation and Dynamics Learning from
  Indirect Observations

Pareto Frontier Approximation Network (PA-Net) to Solve Bi-objective TSP

Providing Insights for Open-Response Surveys via End-to-End
  Context-Aware Clustering

Andes_gym: A Versatile Environment for Deep Reinforcement Learning in
  Power Systems

ADVISE: ADaptive Feature Relevance and VISual Explanations for

Machine learning models predict calculation outcomes with the
  transferability necessary for computational catalysis

Generating gravitational waveform libraries of exotic compact binaries
  with deep learning

Interactive Visualization of Protein RINs using NetworKit in the Cloud

Hyperspectral Pixel Unmixing with Latent Dirichlet Variational

TAE: A Semi-supervised Controllable Behavior-aware Trajectory Generator
  and Predictor

WaveY-Net: Physics-augmented deep learning for high-speed
  electromagnetic simulation and optimization

H4D: Human 4D Modeling by Learning Neural Compositional Representation

Estimating Elliptic Flow Coefficient in Heavy Ion Collisions using Deep
  Learning

On the Optimization Landscape of Neural Collapse under MSE Loss: Global
  Optimality with Unconstrained Features

Convolutional neural networks as an alternative to Bayesian retrievals

A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications

Deep-Learning-Assisted Configuration of Reconfigurable Intelligent
  Surfaces in Dynamic rich-scattering Environments

Question-Answer Sentence Graph for Joint Modeling Answer Selection

IPD:An Incremental Prototype based DBSCAN for large-scale data with
  cluster representatives

Automating the Learning of Inverse Kinematics for Robotic Arms with
  Redundant DoFs

SRP-DNN: Learning Direct-Path Phase Difference for Multiple Moving Sound
  Source Localization

Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time
  Series

Conversational Speech Recognition By Learning Conversation-level

Singularity: Planet-Scale, Preemptive and Elastic Scheduling of AI
  Workloads

PCRP: Unsupervised Point Cloud Object Retrieval and Pose Estimation

Learning Deep Direct-Path Relative Transfer Function for Binaural Sound

Application of Long Short-Term Memory Recurrent Neural Networks Based on
  the BAT-MCS for Binary-State Network Approximated Time-Dependent Reliability
  Problems

Privacy-Preserving Graph Neural Network Training and Inference as a
  Cloud Service

Heterogeneous Graph Learning for Explainable Recommendation over
  Academic Networks

CycleGAN for Undamaged-to-Damaged Domain Translation for Structural
  Health Monitoring and Damage Detection

CenGCN: Centralized Convolutional Networks with Vertex Imbalance for
  Scale-Free Graphs

Reducing Overconfidence Predictions for Autonomous Driving Perception

RNGDet: Road Network Graph Detection by Transformer in Aerial Images

Applying adversarial networks to increase the data efficiency and
  reliability of Self-Driving Cars

Policy Learning and Evaluation with Randomized Quasi-Monte Carlo

Multimodal Emotion Recognition using Transfer Learning from Speaker
  Recognition and BERT-based models

Generative Adversarial Network-Driven Detection of Adversarial Tasks in
  Mobile Crowdsensing

Not All Patches are What You Need: Expediting Vision Transformers via
  Token Reorganizations

BB-ML: Basic Block Performance Prediction using Machine Learning

Low Latency Real-Time Seizure Detection Using Transfer Deep Learning

Efficient Content Delivery in User-Centric and Cache-Enabled Vehicular
  Edge Networks with Deadline-Constrained Heterogeneous Demands

Russian SuperGLUE 1.1: Revising the Lessons not Learned by Russian NLP
  models

Binary Classification for High Dimensional Data using Supervised
  Non-Parametric Ensemble Method

Beyond Deterministic Translation for Unsupervised Domain Adaptation

The efficacy and generalizability of conditional GANs for posterior
  inference in physics-based inverse problems

An SMP-Based Algorithm for Solving the Constrained Utility Maximization
  Problem via Deep Learning

LIMREF: Local Interpretable Model Agnostic Rule-based Explanations for
  Forecasting, with an Application to Electricity Smart Meter Data

General-purpose, long-context autoregressive modeling with Perceiver AR

Deep Learning-Assisted Co-registration of Full-Spectral Autofluorescence
  Lifetime Microscopic Images with H&E-Stained Histology Images

K-Means for Noise-Insensitive Multi-Dimensional Feature Learning

Efficient Cross-Modal Retrieval via Deep Binary Hashing and Quantization

Differentiable Preisach Modeling for Characterization and Optimization
  of Accelerator Systems with Hysteresis

Disentangling Successor Features for Coordination in Multi-agent

A Light-Weight Multi-Objective Asynchronous Hyper-Parameter Optimizer

Multi-Modal Data Fusion in Enhancing Human-Machine Interaction for
  Robotic Applications: A Survey

Active Uncertainty Reduction for Human-Robot Interaction: An Implicit
  Dual Control Approach

Students' perspectives on computational challenges in physics class

Provably convergent quasistatic dynamics for mean-field two-player
  zero-sum games

On the Role of Channel Capacity in Learning Gaussian Mixture Models

Simulating Malicious Attacks on VANETs for Connected and Autonomous
  Vehicle Cybersecurity: A Machine Learning Dataset

Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for

Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question
  Answering Evaluation

Predicting on the Edge: Identifying Where a Larger Model Does Better

EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning
  over Temporal Knowledge Graphs

Identifying subdominant collective effects in a large motorway network

Energy-Efficient Parking Analytics System using Deep Reinforcement
  Learning

Random Feature Amplification: Feature Learning and Generalization in

Defending against Reconstruction Attacks with Rényi Differential
  Privacy

Improving Pedestrian Prediction Models with Self-Supervised Continual
  Learning

Fairness Indicators for Systematic Assessments of Visual Feature
  Extractors

Measuring frequency and period separations in red-giant stars using

Deep Convolutional Autoencoder for Assessment of Anomalies in
  Multi-stream Sensor Data

Identifying equivalent Calabi--Yau topologies: A discrete challenge from
  math and physics for machine learning

Deep Generative model with Hierarchical Latent Factors for Time Series

Multi-class granular approximation by means of disjoint and adjacent
  fuzzy granules

Deep Reinforcement Learning Based Multi-Access Edge Computing Schedule
  for Internet of Vehicle

Crypto-ransomware detection using machine learning models in
  file-sharing network scenario with encrypted traffic

Accuracy of Restricted Boltzmann Machines for the one-dimensional
  $J_1-J_2$ Heisenberg model

ScoreNet: Learning Non-Uniform Attention and Augmentation for
  Transformer-Based Histopathological Image Classification

Constant-weight PIR: Single-round Keyword PIR via Constant-weight
  Equality Operators

StratDef: a strategic defense against adversarial attacks in malware
  detection

CUP: A Conservative Update Policy Algorithm for Safe Reinforcement
  Learning

Rigorous multi-asset optimal execution with Bayesian learning of the
  drift

Improving the repeatability of deep learning models with Monte Carlo
  dropout

Unsupervised Learning of Group Invariant and Equivariant Representations

Between Stochastic and Adversarial Online Convex Optimization: Improved
  Regret Bounds via Smoothness

On Deciding Feature Membership in Explanations of SDD & Related

Label fusion and training methods for reliable representation of
  inter-rater uncertainty

Closing the Management Gap for Satellite-Integrated Community Networks:
  A Hierarchical Approach to Self-Maintenance

Optimal Algorithms for Stochastic Multi-Level Compositional Optimization

SpaIn-Net: Spatially-Informed Stereophonic Music Source Separation

Post-Training Quantization for Cross-Platform Learned Image Compression

Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium
  Learning from Offline Datasets

Fast Inverter Control by Learning the OPF Mapping using
  Sensitivity-Informed Gaussian Processes

Texture Aware Autoencoder Pre-training And Pairwise Learning Refinement
  For Improved Iris Recognition

Beyond the Policy Gradient Theorem for Efficient Policy Updates in
  Actor-Critic Algorithms

DualConv: Dual Convolutional Kernels for Lightweight Deep Neural
  Networks

Audio Inpainting via $\ell_1$-Minimization and Dictionary Learning

Phenotyping with Positive Unlabelled Learning for Genome-Wide
  Association Studies

Learning Contextually Fused Audio-visual Representations for
  Audio-visual Speech Recognition

Interpretable Reinforcement Learning with Multilevel Subgoal Discovery

Deep learning and differential equations for modeling changes in
  individual-level latent dynamics between observation periods

SODAR: Segmenting Objects by DynamicallyAggregating Neighboring Mask

Interpreting a Machine Learning Model for Detecting Gravitational Waves

Exploring Deep Reinforcement Learning-Assisted Federated Learning for
  Online Resource Allocation in Privacy-Persevering EdgeIoT

Computing Black Scholes with Uncertain Volatility-A Machine Learning
  Approach

Deep-QPP: A Pairwise Interaction-based Deep Learning Model for
  Supervised Query Performance Prediction

Towards machine learning for microscopic mechanisms: a formula search
  for crystal structure stability based on atomic properties

Deep Learning-based Anomaly Detection on X-ray Images of Fuel Cell
  Electrodes

A Unified Framework for Masked and Mask-Free Face Recognition via
  Feature Rectification

KamLAND's search for correlated low-energy electron antineutrinos with
  astrophysical neutrinos from IceCube

Unreasonable Effectiveness of Last Hidden Layer Activations for

An algorithmic solution to the Blotto game using multi-marginal
  couplings

Exact Penalty Algorithm of Strong Convertible Nonconvex Optimization

XAI for Transformers: Better Explanations through Conservative

Beyond Natural Motion: Exploring Discontinuity for Video Frame

Don't stop the training: continuously-updating self-supervised
  algorithms best account for auditory responses in the cortex

Modular multi-source prediction of drug side-effects with DruGNN

Explaining reaction coordinates of alanine dipeptide isomerization
  obtained from deep neural networks using Explainable Artificial Intelligence
  (XAI)

HiMA: A Fast and Scalable History-based Memory Access Engine for
  Differentiable Neural Computer

Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient
  Methods

Learning Disentangled Behaviour Patterns for Wearable-based Human

Accelerating Non-Negative and Bounded-Variable Linear Regression
  Algorithms with Safe Screening

Federated Graph Neural Networks: Overview, Techniques and Challenges

REPID: Regional Effect Plots with implicit Interaction Detection

Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation

CommerceMM: Large-Scale Commerce MultiModal Representation Learning with
  Omni Retrieval

Explaining Reject Options of Learning Vector Quantization Classifiers

Neural Architecture Search for Dense Prediction Tasks in Computer Vision

Learning to Solve Routing Problems via Distributionally Robust

Long-term Causal Inference Under Persistent Confounding via Data
  Combination

Eliciting Best Practices for Collaboration with Computational Notebooks

Balancing Domain Experts for Long-Tailed Camera-Trap Recognition

Effect of expanding learning scope on the evolution of cooperation in
  scale-free networks

Case law retrieval: problems, methods, challenges and evaluations in the
  last 20 years

Unsupervised word-level prosody tagging for controllable speech
  synthesis

One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic
  Normality and Limitation

Improving Human Sperm Head Morphology Classification with Unsupervised
  Anatomical Feature Distillation

Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters

On the Sample Complexity of Stabilizing LTI Systems on a Single

On the Origins of the Block Structure Phenomenon in Neural Network

Federated Learning with Sparsified Model Perturbation: Improving
  Accuracy under Client-Level Differential Privacy

DeepONet-Grid-UQ: A Trustworthy Deep Operator Framework for Predicting
  the Power Grid's Post-Fault Trajectories

To what extent can Plug-and-Play methods outperform neural networks
  alone in low-dose CT reconstruction

TURF: A Two-factor, Universal, Robust, Fast Distribution Learning
  Algorithm

OLIVE: Oblivious and Differentially Private Federated Learning on
  Trusted Execution Environment

Detecting Gravitational-waves from Extreme Mass Ratio Inspirals using

L2C2: Locally Lipschitz Continuous Constraint towards Stable and Smooth

Graph Meta-Reinforcement Learning for Transferable Autonomous
  Mobility-on-Demand

GAN-generated Faces Detection: A Survey and New Perspectives (2022)

Integrating AI Planning with Natural Language Processing: A Combination
  of Explicit and Tacit Knowledge

Compositional Scene Representation Learning via Reconstruction: A Survey

STaR: Knowledge Graph Embedding by Scaling, Translation and Rotation

Photometric Redshifts for Cosmology: Improving Accuracy and Uncertainty
  Estimates Using Bayesian Neural Networks

Multi-task UNet: Jointly Boosting Saliency Prediction and Disease
  Classification on Chest X-ray Images

Recent Advances in Reliable Deep Graph Learning: Adversarial Attack,
  Inherent Noise, and Distribution Shift

Gaze-Guided Class Activation Mapping: Leveraging Human Attention for
  Network Attention in Chest X-rays Classification

A Survey on Dynamic Neural Networks for Natural Language Processing

Statistical Inference After Adaptive Sampling in Non-Markovian

Scaling up Ranking under Constraints for Live Recommendations by
  Replacing Optimization with Prediction

Digital Signal Analysis based on Convolutional Neural Networks for
  Active Target Time Projection Chambers

Fast and accurate dose predictions for novel radiotherapy treatments in
  heterogeneous phantoms using conditional 3D-UNet generative adversarial
  networks

Discriminability-enforcing loss to improve representation learning

Motivating Physical Activity via Competitive Human-Robot Interaction

Orthogonalising gradients to speed up neural network optimisation

Benchmarking Online Sequence-to-Sequence and Character-based Handwriting
  Recognition from IMU-Enhanced Pens

One Step at a Time: Long-Horizon Vision-and-Language Navigation with
  Milestones

Analysis of Neural Fragility: Bounding the Norm of a Rank-One
  Perturbation Matrix

Recurrent Neural Networks for Dynamical Systems: Applications to
  Ordinary Differential Equations, Collective Motion, and Hydrological Modeling

QuadSim: A Quadcopter Rotational Dynamics Simulation Framework For

Strategy Discovery and Mixture in Lifelong Learning from Heterogeneous

Building Inspection Toolkit: Unified Evaluation and Strong Baselines for
  Damage Recognition

Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing

Continuously Generalized Ordinal Regression for Linear and Deep Models

Unlabeled Data Help: Minimax Analysis and Adversarial Robustness

Learned Turbulence Modelling with Differentiable Fluid Solvers:
  Physics-based Loss-functions and Optimisation Horizons

Replacing neural networks by optimal analytical predictors for the
  detection of phase transitions

ERGO-ML I: Inferring the assembly histories of IllustrisTNG galaxies
  from integral observable properties via invertible neural networks

Symbiotic joint operation of quantum and classical coherent
  communications

Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation
  Practices for Generated Text

Slicing Aided Hyper Inference and Fine-tuning for Small Object Detection

Tensor Moments of Gaussian Mixture Models: Theory and Applications

Convex Programs and Lyapunov Functions for Reinforcement Learning: A
  Unified Perspective on the Analysis of Value-Based Methods

Stochastic linear optimization never overfits with quadratically-bounded
  losses on general data

A Generic Self-Supervised Framework of Learning Invariant Discriminative
  Features

FOLD-RM: A Scalable, Efficient, and Explainable Inductive Learning
  Algorithm for Multi-Category Classification of Mixed Data

A Multi-Fidelity Active Learning Method for Global Design Optimization
  Problems with Noisy Evaluations

DeCorus: Hierarchical Multivariate Anomaly Detection at Cloud-Scale

COLA: COarse LAbel pre-training for 3D semantic segmentation of sparse
  LiDAR datasets

Active Surrogate Estimators: An Active Learning Approach to
  Label-Efficient Model Evaluation

Delaunay Component Analysis for Evaluation of Data Representations

Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural
  Network Explanations

Physics-Informed Deep Monte Carlo Quantile Regression method for
  Interval Multilevel Bayesian Network-based Satellite Heat Reliability
  Analysis

Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient
  for Out-of-Distribution Generalization

HAKE: A Knowledge Engine Foundation for Human Activity Understanding

On Pitfalls of Identifiability in Unsupervised Learning. A Note on:
  "Desiderata for Representation Learning: A Causal Perspective"

A Machine Learning Framework for Event Identification via Modal Analysis
  of PMU Data

Robust Estimation of Discrete Distributions under Local Differential
  Privacy

Deep Movement Primitives: toward Breast Cancer Examination Robot

Flexible learning of quantum states with generative query neural
  networks

Stock Embeddings: Learning Distributed Representations for Financial
  Assets

Do Lessons from Metric Learning Generalize to Image-Caption Retrieval?

Design of Explainability Module with Experts in the Loop for
  Visualization and Dynamic Adjustment of Continual Learning

Aspect Based Sentiment Analysis Using Spectral Temporal Graph Neural
  Network

DermX: an end-to-end framework for explainable automated dermatological
  diagnosis

DS4DH at TREC Health Misinformation 2021: Multi-Dimensional Ranking
  Models with Transfer Learning and Rank Fusion

Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training
  Benchmark

Low-latency Monaural Speech Enhancement with Deep Filter-bank Equalizer

Machine Learning-Aided Discovery of Superionic Solid-State Electrolyte
  for Li-Ion Batteries

MGCVAE: Multi-objective Inverse Design via Molecular Graph Conditional

Trace norm regularization for multi-task learning with scarce data

Attention-based Deep Neural Networks for Battery Discharge Capacity

A Data-Centric Approach to Generate Invariants for a Smart Grid Using

Versatile Dueling Bandits: Best-of-both-World Analyses for Online
  Learning from Preferences

CodeFill: Multi-token Code Completion by Jointly Learning from Structure
  and Naming Sequences

Geometric Transformer for Fast and Robust Point Cloud Registration

Partially Fake Audio Detection by Self-attention-based Fake Span
  Discovery

Liveness and Latency of Byzantine State-Machine Replication (Extended
  Version)

Can Machines Help Us Answering Question 16 in Datasheets, and In Turn
  Reflecting on Inappropriate Content?

Convolutional Neural Network with Convolutional Block Attention Module
  for Finger Vein Recognition

Neighborhood Contrastive Learning for Scientific Document
  Representations with Citation Embeddings

Jointly Learned Symbol Detection and Signal Reflection in RIS-Aided
  Multi-user MIMO Systems

2021 BEETL Competition: Advancing Transfer Learning for Subject
  Independence & Heterogenous EEG Data Sets

Out of Thin Air: Is Zero-Shot Cross-Lingual Keyword Detection Better
  Than Unsupervised?

Physics-Informed Machine Learning and Uncertainty Quantification for
  Mechanics of Heterogeneous Materials

On the Complexity of Object Detection on Real-world Public
  Transportation Images for Social Distancing Measurement

Continuous-time stochastic gradient descent for optimizing over the
  stationary distribution of stochastic differential equations

Improved Finite-Key Security Analysis of Quantum Key Distribution
  Against Trojan-Horse Attacks

MuZero with Self-competition for Rate Control in VP9 Video Compression

Measurably Stronger Explanation Reliability via Model Canonization

What is Next when Sequential Prediction Meets Implicitly Hard
  Interaction?

An Application of Online Learning to Spacecraft Memory Dump Optimization

UnScenE: Toward Unsupervised Scenario Extraction for Automated Driving
  Systems from Urban Naturalistic Road Traffic Data

Multi-Atlas Segmentation and Spatial Alignment of the Human Embryo in
  First Trimester 3D Ultrasound

Deep Monte Carlo Quantile Regression for Quantifying Aleatoric
  Uncertainty in Physics-informed Temperature Field Reconstruction

Exact Statistical Inference for Time Series Similarity using Dynamic
  Time Warping by Selective Inference

A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating
  Lymphocytes in Whole Slide Images

Improved Aggregating and Accelerating Training Methods for Spatial Graph
  Neural Networks on Fraud Detection

Vau da muntanialas: Energy-efficient multi-die scalable acceleration of
  RNN inference

Online-updated High-order Collaborative Networks for Single Image
  Deraining

Saving RNN Computations with a Neuron-Level Fuzzy Memoization Scheme

Saute RL: Almost Surely Safe Reinforcement Learning Using State

Reinforcement Learning in Presence of Discrete Markovian Context
  Evolution

A resource-efficient deep learning framework for low-dose brain PET
  image reconstruction and analysis

Provably Efficient Causal Model-Based Reinforcement Learning for
  Systematic Generalization

UserBERT: Modeling Long- and Short-Term User Preferences via

Deduplicating Training Data Mitigates Privacy Risks in Language Models

Approximate Nearest Neighbor Search under Neural Similarity Metric for
  Large-Scale Recommendation

Tight integration of neural- and clustering-based diarization through
  deep unfolding of infinite Gaussian mixture model

MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution
  Shifts and Training Conflicts

Source Code Summarization with Structural Relative Position Guided

Context-Preserving Instance-Level Augmentation and Deformable
  Convolution Networks for SAR Ship Detection

PR-PL: A Novel Transfer Learning Framework with Prototypical
  Representation based Pairwise Learning for EEG-Based Emotion Recognition

Analytic Learning of Convolutional Neural Network For Pattern

Adaptive Graph Convolutional Networks for Weakly Supervised Anomaly
  Detection in Videos

Real World Large Scale Recommendation Systems Reproducibility and Smooth

Task-Adaptive Feature Transformer with Semantic Enrichment for Few-Shot

BROOK Dataset: A Playground for Exploiting Data-Driven Techniques in
  Human-Vehicle Interactive Designs

Adversarial Graph Contrastive Learning with Information Regularization

D2ADA: Dynamic Density-aware Active Domain Adaptation for Semantic

A Survey on Machine Learning Approaches for Modelling Intuitive Physics

Sequential Bayesian experimental designs via reinforcement learning

Extracting Label-specific Key Input Features for Neural Code
  Intelligence Models

Asymptotically Unbiased Estimation for Delayed Feedback Modeling via
  Label Correction

Tightly Coupled Learning Strategy for Weakly Supervised Hierarchical
  Place Recognition

Learn by Challenging Yourself: Contrastive Visual Representation
  Learning with Hard Sample Generation

Simultaneous Transport Evolution for Minimax Equilibria on Measures

SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian

Input-to-State Stable Neural Ordinary Differential Equations with
  Applications to Transient Modeling of Circuits

Towards Deployment-Efficient Reinforcement Learning: Lower Bound and

Federated Contrastive Learning for Dermatological Disease Diagnosis via
  On-device Learning

Nonlinear Optical Joint Transform Correlator for Low Latency Convolution

Learning Reward Models for Cooperative Trajectory Planning with Inverse
  Reinforcement Learning and Monte Carlo Tree Search

Communication and Computation O-RAN Resource Slicing for URLLC Services
  Using Deep Reinforcement Learning

Dynamic SDN-based Radio Access Network Slicing with Deep Reinforcement
  Learning for URLLC and eMBB Services

AI can evolve without labels: self-evolving vision transformer for chest
  X-ray diagnosis through knowledge distillation

State-of-the-Art Review of Design of Experiments for Physics-Informed

Defense Strategies Toward Model Poisoning Attacks in Federated Learning:
  A Survey

Distribution augmentation for low-resource expressive text-to-speech

Hierarchical Point Cloud Encoding and Decoding with Lightweight
  Self-Attention based Model

Visual Sound Localization in the Wild by Cross-Modal Interference
  Erasing

Individual-Level Inverse Reinforcement Learning for Mean Field Games

Deep Learning based Coverage and Rate Manifold Estimation in Cellular
  Networks

Scaling Laws Under the Microscope: Predicting Transformer Performance
  from Small Scale Experiments

Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost

Surgical Scheduling via Optimization and Machine Learning with
  Long-Tailed Data

Training with More Confidence: Mitigating Injected and Natural Backdoors
  During Training

An Approach for Non-Convex Uniformly Concave Structured Saddle Point
  Problem

Exactly Optimal Deterministic Radio Broadcasting with Collision
  Detection

Optimal sizing of a holdout set for safe predictive model updating

Scheduling Techniques for Liver Segmentation: ReduceLRonPlateau Vs
  OneCycleLR

A Survey of Deep Learning Techniques for the Analysis of COVID-19 and
  their usability for Detecting Omicron

Incremental user embedding modeling for personalized text classification

Do Inpainting Yourself: Generative Facial Inpainting Guided by Exemplars

Geometric deep learning reveals the spatiotemporal fingerprint of
  microscopic motion

Reinforcement Learning Based Power Control for Reliable Wireless

A Data Augmentation Method for Fully Automatic Brain Tumor Segmentation

Minimax in Geodesic Metric Spaces: Sion's Theorem and Algorithms

Assessment of contextualised representations in detecting outcome
  phrases in clinical trials

ET-BERT: A Contextualized Datagram Representation with Pre-training
  Transformers for Encrypted Traffic Classification

Highly Scalable Beaver Triple Generator from Additive-only Homomorphic

A Group-Equivariant Autoencoder for Identifying Spontaneously Broken
  Symmetries in the Ising Model

Learning Asymmetric Embedding for Attributed Networks via Convolutional

Deep Graph Learning for Spatially-Varying Indoor Lighting Prediction

Deep Reinforcement Learning and Convex Mean-Variance Optimisation for
  Portfolio Management

LighTN: Light-weight Transformer Network for Performance-overhead
  Tradeoff in Point Cloud Downsampling

Fine-Grained Population Mobility Data-Based Community-Level COVID-19

RandomSEMO: Normality Learning Of Moving Objects For Video Anomaly
  Detection

Autonomous Drone Swarm Navigation and Multi-target Tracking in 3D
  Environments with Dynamic Obstacles

A Tech Hybrid-Recommendation Engine and Personalized Notification: An
  integrated tool to assist users through Recommendations (Project ATHENA)

Beyond NaN: Resiliency of Optimization Layers in The Face of
  Infeasibility

Geometric Graph Representation Learning via Maximizing Rate Reduction

Supported Policy Optimization for Offline Reinforcement Learning

Efficient Natural Gradient Descent Methods for Large-Scale Optimization
  Problems

Vital Node Identification in Complex Networks Using a Machine
  Learning-Based Approach

Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in
  Bing Sponsored Search

Random vector functional link network: recent developments,
  applications, and future directions

Metric Learning-enhanced Optimal Transport for Biochemical Regression

StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child
  Interactive Storytelling with Flexible Parental Involvement

Unsupervised Disentanglement with Tensor Product Representations on the
  Torus

Improving Graph Collaborative Filtering with Neighborhood-enriched

Panoramic mapping of phonon transport from ultrafast electron
  diffraction and machine learning

Estimation of symbiotic bacterial structure in a sustainable seagrass
  ecosystem on recycled management

Learning long-term music representations via hierarchical contextual

Source-Free Progressive Graph Learning for Open-Set Domain Adaptation

Efficient Spatial Representation and Routing of Deformable
  One-Dimensional Objects for Manipulation

An AI-based Domain-Decomposition Non-Intrusive Reduced-Order Model for
  Extended Domains applied to Multiphase Flow in Pipes

Ultra-fine Entity Typing with Indirect Supervision from Natural Language
  Inference

Evolving Neural Networks with Optimal Balance between Information Flow
  and Connections Cost

Robust alignment of cross-session recordings of neural population
  activity by behaviour via unsupervised domain adaptation

The Impact of Using Regression Models to Build Defect Classifiers

Solving the Federated Edge Learning Participation Dilemma: A Truthful
  and Correlated Perspective

Corralling a Larger Band of Bandits: A Case Study on Switching Regret
  for Linear Bandits

Adaptive Bandit Convex Optimization with Heterogeneous Curvature

Automatic Issue Classifier: A Transfer Learning Framework for
  Classifying Issue Reports

Ensemble and Multimodal Approach for Forecasting Cryptocurrency Price

Impact of Discretization Noise of the Dependent variable on Machine
  Learning Classifiers in Software Engineering

Learning Revenue Maximization using Posted Prices for Stochastic
  Strategic Patient Buyers

Multi-task Deep Learning for Cerebrovascular Disease Classification and
  MRI-to-PET Translation

A Data-driven Multi-fidelity Physics-informed Learning Framework for
  Smart Manufacturing: A Composites Processing Case Study

Semantic-Oriented Unlabeled Priming for Large-Scale Language Models

RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query
  Product Evolutionary Graph

Models of human behavior for human-robot interaction and automated
  driving: How accurate do the models of human behavior need to be?

An efficient implementation of graph-based invariant set algorithm for
  constrained nonlinear dynamical systems

Semi-supervised Medical Image Segmentation via Geometry-aware
  Consistency Training

DeepSensor: Deep Learning Testing Framework Based on Neuron Sensitivity

Improving Fraud Detection via Hierarchical Attention-based Graph Neural
  Network

A Review of Deep Learning-based Approaches for Deepfake Content
  Detection

TATTOOED: A Robust Deep Neural Network Watermarking Scheme based on
  Spread-Spectrum Channel Coding

From the String Landscape to the Mathematical Landscape: a
  Machine-Learning Outlook

Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD
  for Communication Efficient Nonconvex Distributed Learning

Modeling User Behavior with Graph Convolution for Personalized Product
  Search

Indication as Prior Knowledge for Multimodal Disease Classification in
  Chest Radiographs with Transformers

Classification of Microscopy Images of Breast Tissue: Region Duplication
  based Self-Supervision vs. Off-the Shelf Deep Representations

Predicting Pollution Level Using Random Forest: A Case Study of Marilao
  River in Bulacan Province, Philippines

When do Models Generalize? A Perspective from Data-Algorithm
  Compatibility

Learning by Doing: Controlling a Dynamical System using Causality,
  Control, and Reinforcement Learning

DeepPAMM: Deep Piecewise Exponential Additive Mixed Models for Complex
  Hazard Structures in Survival Analysis

RoPGen: Towards Robust Code Authorship Attribution via Automatic Coding
  Style Transformation

A multi-task semi-supervised framework for Text2Graph & Graph2Text

OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud

End-to-end Reinforcement Learning of Robotic Manipulation with Robust
  Keypoints Representation

Maximizing Communication Efficiency for Large-scale Training via 0/1
  Adam

Towards Best Practice of Interpreting Deep Learning Models for EEG-based
  Brain Computer Interfaces

What Makes Good Contrastive Learning on Small-Scale Wearable-based
  Tasks?

Coupling Online-Offline Learning for Multi-distributional Data Streams

Physics-Guided Problem Decomposition for Scaling Deep Learning of
  High-dimensional Eigen-Solvers: The Case of Schrödinger's Equation

RSINet: Inpainting Remotely Sensed Images Using Triple GAN Framework

Detecting False Alarms from Automatic Static Analysis Tools: How Far are
  We?

Low-light Image Enhancement by Retinex Based Algorithm Unrolling and

High-throughput discovery of chemical structure-polarity relationships
  combining automation and machine learning techniques

Audio-Visual Fusion Layers for Event Type Aware Video Recognition

Open-set Adversarial Defense with Clean-Adversarial Mutual Learning

SemiRetro: Semi-template framework boosts deep retrosynthesis prediction

Semi-supervised New Event Type Induction and Description via Contrastive
  Loss-Enforced Batch Attention

Domain-Invariant Proposals based on a Balanced Domain Classifier for

Automatic Curriculum Generation for Learning Adaptation in Networking

Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text

Improving Image-recognition Edge Caches with a Generative Adversarial
  Network

Benign Overfitting without Linearity: Neural Network Classifiers Trained
  by Gradient Descent for Noisy Linear Data

Boosting Barely Robust Learners: A New Perspective on Adversarial

Adversarial Attacks and Defense Methods for Power Quality Recognition

Landscape Analysis for Surrogate Models in the Evolutionary Black-Box
  Context

Tracking environmental policy changes in the Brazilian Federal Official
  Gazette

Algebraic function based Banach space valued ordinary and fractional
  neural network approximations

Picking the low-hanging fruit: testing new physics at scale with active
  learning

Chapman-Enskog derivation of multicomponent Navier-Stokes equations

Blocking Techniques for Sparse Matrix Multiplication on Tensor

Model selection and signal extraction using Gaussian Process regression

Resolving Combinatorial Ambiguities in Dilepton $t \bar t$ Event
  Topologies with Neural Networks

Coherent quantum annealing in a programmable 2000-qubit Ising chain

Active Privacy-Utility Trade-off Against Inference in Time-Series Data
  Sharing

SafePicking: Learning Safe Object Extraction via Object-Level Mapping

Learning Fast Samplers for Diffusion Models by Differentiating Through
  Sample Quality

Automated Architecture Search for Brain-inspired Hyperdimensional
  Computing

End-to-end Algorithm Synthesis with Recurrent Networks: Logical
  Extrapolation Without Overthinking

Early Disease Stage Characterization in Parkinson's Disease from
  Resting-state fMRI Data Using a Long Short-term Memory Network

PEg TRAnsfer Workflow recognition challenge report: Does multi-modal
  data improve recognition?

Distributed saddle point problems for strongly concave-convex functions

SHED: A Newton-type algorithm for federated learning based on
  incremental Hessian eigenvector sharing

Rate-matching the regret lower-bound in the linear quadratic regulator
  with unknown dynamics

The Dual Form of Neural Networks Revisited: Connecting Test Time
  Predictions to Training Patterns via Spotlights of Attention

Meta-learning with GANs for anomaly detection, with deployment in
  high-speed rail inspection system

The Power of Adaptivity in SGD: Self-Tuning Step Sizes with Unbounded
  Gradients and Affine Variance

97 Eclipsing Quadruple Star Candidates Discovered in TESS Full Frame
  Images

Explainable COVID-19 Infections Identification and Delineation Using
  Calibrated Pseudo Labels

A Modern Self-Referential Weight Matrix That Learns to Modify Itself

Torque Computation with the Isogeometric Mortar Method for the
  Simulation of Electric Machines

A PDE-Based Analysis of the Symmetric Two-Armed Bernoulli Bandit

Learning via nonlinear conjugate gradients and depth-varying neural ODEs

Using Random Perturbations to Mitigate Adversarial Attacks on Sentiment
  Analysis Models

A Novel Speech Intelligibility Enhancement Model based on
  CanonicalCorrelation and Deep Learning

Bounded nonlinear forecasts of partially observed geophysical systems
  with physics-constrained deep learning

Patch-NetVLAD+: Learned patch descriptor and weighted matching strategy
  for place recognition

SleepPPG-Net: a deep learning algorithm for robust sleep staging from
  continuous photoplethysmography

Optical Links for ATLAS Liquid Argon Calorimeter Front-end Electronics
  Readout

Deep soccer captioning with transformer: dataset, semantics-related
  losses, and multi-level evaluation

On the Detection of Adaptive Adversarial Attacks in Speaker Verification
  Systems

Choices, Risks, and Reward Reports: Charting Public Policy for
  Reinforcement Learning Systems

Modeling Reservoir Release Using Pseudo-Prospective Learning and
  Physical Simulations to Predict Water Temperature

Global Optimization of Data Pipelines in Heterogeneous Cloud

A Unified Perspective on Value Backup and Exploration in Monte-Carlo
  Tree Search

Towards Adversarially Robust Deepfake Detection: An Ensemble Approach

SuperCon: Supervised Contrastive Learning for Imbalanced Skin Lesion

Fundamental problems in statistical physics XIV: Lecture on Machine
  Learning

Predictive modeling of microbiological seawater quality classification
  in karst region using cascade model

A Novel Chaos-based Light-weight Image Encryption Scheme for Multi-modal
  Hearing Aids

InterpretTime: a new approach for the systematic evaluation of
  neural-network interpretability in time series classification

Vehicle and License Plate Recognition with Novel Dataset for Toll
  Collection

A Wasserstein GAN for Joint Learning of Inpainting and its Spatial

Long-Time Convergence and Propagation of Chaos for Nonlinear MCMC

CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep
  Learning

Inference and FDR Control for Simulated Ising Models in High-dimension

Video-driven Neural Physically-based Facial Asset for Production

Predicting Fuel Consumption in Power Generation Plants using Machine
  Learning and Neural Networks

Measurement disturbance tradeoffs in three-qubit unsupervised quantum

New perspectives on asymmetric bending behavior: A lesson learned from
  leaves

Hybridization of Capsule and LSTM Networks for unsupervised anomaly
  detection on multivariate data

A Lightweight, Efficient and Explainable-by-Design Convolutional Neural
  Network for Internet Traffic Classification

From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale
  Contrastive Learning Approach

Unsupervised HDR Imaging: What Can Be Learned from a Single 8-bit Video?

Electricity Consumption Forecasting for Out-of-distribution Time-of-Use
  Tariffs

A Graph-based U-Net Model for Predicting Traffic in unseen Cities

Support Vectors and Gradient Dynamics of Single-Neuron ReLU Networks

Towards Weakly-Supervised Text Spotting using a Multi-Task Transformer

Multi-Modal Fusion for Sensorimotor Coordination in Steering Angle

Fast and Robust Sparsity Learning over Networks: A Decentralized
  Surrogate Median Regression Approach

Robots Learn Increasingly Complex Tasks with Intrinsic Motivation and
  Automatic Curriculum Learning

Inference for Projection-Based Wasserstein Distances on Finite Spaces

Deep Learning to advance the Eigenspace Perturbation Method for
  Turbulence Model Uncertainty Quantification

Entroformer: A Transformer-based Entropy Model for Learned Image

Fast Adversarial Training with Noise Augmentation: A Unified Perspective
  on RandStart and GradAlign

Fitting Sparse Markov Models to Categorical Time Series Using

Learning from distinctive candidates to optimize reduced-precision
  convolution program on tensor cores

Concurrent Training of a Control Policy and a State Estimator for
  Dynamic and Robust Legged Locomotion

Physics-informed PointNet: A deep learning solver for steady-state
  incompressible flows and thermal fields on multiple sets of irregular
  geometries

Bench-Marking And Improving Arabic Automatic Image Captioning Through
  The Use Of Multi-Task Learning Paradigm

Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers

Privacy-preserving Generative Framework Against Membership Inference
  Attacks

Reduced order modeling for flow and transport problems with Barlow Twins

Hindi/Bengali Sentiment Analysis Using Transfer Learning and Joint Dual
  Input Learning with Self Attention

Robust estimation algorithms don't need to know the corruption level

ACORT: A Compact Object Relation Transformer for Parameter Efficient

Faster No-Regret Learning Dynamics for Extensive-Form Correlated and
  Coarse Correlated Equilibria

Learning Causally Invariant Representations for Out-of-Distribution
  Generalization on Graphs

Minimax Regret Optimization for Robust Machine Learning under
  Distribution Shift

Dual Task Framework for Improving Persona-grounded Dialogue Dataset

Understanding Curriculum Learning in Policy Optimization for Solving
  Combinatorial Optimization Problems

A Characterization of Semi-Supervised Adversarially-Robust PAC
  Learnability

A Machine-Learning-Aided Visual Analysis Workflow for Investigating Air
  Pollution Data

Incremental Learning of Structured Memory via Closed-Loop Transcription

Motif-topology and Reward-learning improved Spiking Neural Network for
  Efficient Multi-sensory Integration

Stochastic Coded Offloading Scheme for Unmanned Aerial Vehicle-Assisted

Do People Engage Cognitively with AI? Impact of AI Assistance on
  Incidental Learning

PARSE: Pairwise Alignment of Representations in Semi-Supervised EEG
  Learning for Emotion Recognition

Including Facial Expressions in Contextual Embeddings for Sign Language

Give me a knee radiograph, I will tell you where the knee joint area is:
  a deep convolutional neural network adventure

An Epidemic Compartment Model for Economic Policy Directions for
  Managing Future Pandemic

Bayesian learning of COVID-19 Vaccine safety while incorporating Adverse
  Events ontology

Applications of Machine Learning to Lattice Quantum Field Theory

DDoS-UNet: Incorporating temporal information using Dynamic Dual-channel
  UNet for enhancing super-resolution of dynamic MRI

Development and Validation of an AI-Driven Model for the La Rance Tidal
  Barrage: A Generalisable Case Study

Development and Comparison of Scoring Functions in Curriculum Learning

Coded ResNeXt: a network for designing disentangled information paths

Closure operators: Complexity and applications to classification and
  decision-making

Accountability in an Algorithmic Society: Relationality, Responsibility,
  and Robustness in Machine Learning

Neural Network Training Using Closed-Loop Data: Hazards and an
  Instrumental Variable (IVNN) Solution

Learning the Pedestrian-Vehicle Interaction for Pedestrian Trajectory

Factored World Models for Zero-Shot Generalization in Robotic

Describing image focused in cognitive and visual details for visually
  impaired people: An approach to generating inclusive paragraphs

Exact finite-size scaling for the random-matrix representation of bond
  percolation on square lattice

Denoising Convolutional Networks to Accelerate Detector Simulation

Personalization Improves Privacy-Accuracy Tradeoffs in Federated
  Learning

Characterizing and overcoming the greedy nature of learning in
  multi-modal deep neural networks

Trust in AI: Interpretability is not necessary or sufficient, while
  black-box interaction is necessary and sufficient

Dissolving salt is not equivalent to applying a pressure on water

Face Beneath the Ink: Synthetic Data and Tattoo Removal with Application
  to Face Recognition

Universal Learning Waveform Selection Strategies for Adaptive Target
  Tracking

The origin of the unfocused XMM-Newton background, its variability and
  lessons learned for ATHENA

Translation and Rotation Equivariant Normalizing Flow (TRENF) for
  Optimal Cosmological Analysis

Image-to-Image Regression with Distribution-Free Uncertainty
  Quantification and Applications in Imaging

Hardness of Noise-Free Learning for Two-Hidden-Layer Neural Networks

Conditional Diffusion Probabilistic Model for Speech Enhancement

Topogivity: A Machine-Learned Chemical Rule for Discovering Topological
  Materials

Deep Learning in Random Neural Fields: Numerical Experiments via Neural
  Tangent Kernel

Benign-Overfitting in Conditional Average Treatment Effect Prediction
  with Linear Regression

REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy
  Transfer

F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization

Massively parallel pixel-by-pixel nanophotonic optimization using a
  Green's function formalism

Reliabuild: Searching for High-Fidelity Builds Using Active Learning

Towards a Theory of Non-Log-Concave Sampling: First-Order Stationarity
  Guarantees for Langevin Monte Carlo

Improving Automatic Speech Recognition for Non-Native English with
  Transfer Learning and Language Model Decoding

Vehicle: Interfacing Neural Network Verifiers with Interactive Theorem
  Provers

Zero Shot Learning for Predicting Energy Usage of Buildings in
  Sustainable Design

Visual Servoing for Pose Control of Soft Continuum Arm in a Structured

A Human-Centered Machine-Learning Approach for Muscle-Tendon Junction
  Tracking in Ultrasound Images

P-split formulations: A class of intermediate formulations between big-M
  and convex hull for disjunctive constraints

Suboptimal Performance of the Bayes Optimal Algorithm in Frequentist
  Best Arm Identification

Adults as Augmentations for Children in Facial Emotion Recognition with

Discovering Quantum Phase Transitions with Fermionic Neural Networks

Feature-level augmentation to improve robustness of deep neural networks
  to affine transformations

Identifying Weaknesses in Machine Translation Metrics Through Minimum
  Bayes Risk Decoding: A Case Study for COMET

InPars: Data Augmentation for Information Retrieval using Large Language
  Models

Game of Privacy: Towards Better Federated Platform Collaboration under
  Privacy Restriction

AI-based Robust Resource Allocation in End-to-End Network Slicing under
  Demand and CSI Uncertainties

Help Me Explore: Minimal Social Interventions for Graph-Based Autotelic
  Agents

Unaligned but Safe -- Formally Compensating Performance Limitations for
  Imprecise 2D Object Detection

Ensemble Kalman method for learning turbulence models from indirect
  observation data

Reinforcement Learning in the Wild: Scalable RL Dispatching Algorithm
  Deployed in Ridehailing Marketplace

Probabilistic learning inference of boundary value problem with
  uncertainties based on Kullback-Leibler divergence under implicit constraints

Machine Learning-based Urban Canyon Path Loss Prediction using 28 GHz
  Manhattan Measurements

AD-NEGF: An End-to-End Differentiable Quantum Transport Simulator for
  Sensitivity Analysis and Inverse Problems

Near-Optimal Statistical Query Lower Bounds for Agnostically Learning
  Intersections of Halfspaces with Gaussian Marginals

Hardware calibrated learning to compensate heterogeneity in analog
  RRAM-based Spiking Neural Networks

Two-Stage Deep Anomaly Detection with Heterogeneous Time Series Data

Backpropagation Clipping for Deep Learning with Differential Privacy

Cross-speaker style transfer for text-to-speech using data augmentation

Computer Validation of Neural Network Dynamics: A First Case Study

Transfer-Learning Across Datasets with Different Input Dimensions: An
  Algorithm and Analysis for the Linear Regression Case

Controlling the Complexity and Lipschitz Constant improves polynomial
  nets

PCENet: High Dimensional Surrogate Modeling for Learning Uncertainty

Fair When Trained, Unfair When Deployed: Observable Fairness Measures
  are Unstable in Performative Prediction Settings

Quantune: Post-training Quantization of Convolutional Neural Networks
  using Extreme Gradient Boosting for Fast Deployment

Omicron BA.2 (B.1.1.529.2): high potential to becoming the next
  dominating variant

Towards a Guideline for Evaluation Metrics in Medical Image Segmentation

Bias-Scalable Near-Memory CMOS Analog Processor for Machine Learning

Intelligent Resource Allocations for IRS-Assisted OFDM Communications: A
  Hybrid MDQN-DDPG Approach

STG-GAN: A spatiotemporal graph generative adversarial networks for
  short-term passenger flow prediction in urban rail transit systems

SUPA: A Lightweight Diagnostic Simulator for Machine Learning in

Learning Branch Probabilities in Compiler from Datacenter Workloads

AA-TransUNet: Attention Augmented TransUNet For Nowcasting Tasks

Mixture-of-Rookies: Saving DNN Computations by Predicting ReLU Outputs

Semi-Supervised Convolutive NMF for Automatic Piano Transcription

Barwise Compression Schemes for Audio-Based Music Structure Analysis

FedAttack: Effective and Covert Poisoning Attack on Federated
  Recommendation via Hard Sampling

IHGNN: Interactive Hypergraph Neural Network for Personalized Product
  Search

Off-Policy Fitted Q-Evaluation with Differentiable Function
  Approximators: Z-Estimation and Inference Theory

A Field of Experts Prior for Adapting Neural Networks at Test Time

Forecasting large-scale circulation regimes using deformable
  convolutional neural networks and global spatiotemporal climate data

Feasible Low-thrust Trajectory Identification via a Deep Neural Network

Water flow in single-wall nanotubes: Oxygen makes it slip, hydrogen
  makes it stick

A Deep Learning Approach for Digital Color Reconstruction of Lenticular
  Films

Work-from-home and its implication for project management, resilience
  and innovation -- a global survey on software companies

Supervised machine learning to estimate instabilities in chaotic
  systems: estimation of local Lyapunov exponents

Interpretable pipelines with evolutionarily optimized modules for RL
  tasks with visual inputs

Robust Graph Representation Learning for Local Corruption Recovery

A Plug-and-Play Approach to Multiparametric Quantitative MRI: Image
  Reconstruction using Pre-Trained Deep Denoisers

Decomposing neural networks as mappings of correlation functions

Random Forests Weighted Local Fréchet Regression with Theoretical
  Guarantee

Instance-wise algorithm configuration with graph neural networks

InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail
  Entities

Differential Private Knowledge Transfer for Privacy-Preserving
  Cross-Domain Recommendation

Case-based reasoning for rare events prediction on strategic sites

Improving performance of aircraft detection in satellite imagery while
  limiting the labelling effort: Hybrid active learning

TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic

PVSeRF: Joint Pixel-, Voxel- and Surface-Aligned Radiance Field for
  Single-Image Novel View Synthesis

Explainable Machine Learning for Breakdown Prediction in High Gradient
  RF Cavities

Memory-based gaze prediction in deep imitation learning for robot
  manipulation

Distilling Hypernymy Relations from Language Models: On the
  Effectiveness of Zero-Shot Taxonomy Induction

Understanding Value Decomposition Algorithms in Deep Cooperative

Settling the Communication Complexity for Distributed Offline

SAFER: Data-Efficient and Safe Reinforcement Learning via Skill

A Survey on Artificial Intelligence for Source Code: A Dialogue Systems

Multi-relation Message Passing for Multi-label Text Classification

Heterogeneous Calibration: A post-hoc model-agnostic framework for
  improved generalization

Deconstructing the Inductive Biases of Hamiltonian Neural Networks

Geometric Digital Twinning of Industrial Facilities: Retrieval of
  Industrial Shapes

Bayesian Optimisation for Mixed-Variable Inputs using Value Proposals

Decreasing Annotation Burden of Pairwise Comparisons with
  Human-in-the-Loop Sorting: Application in Medical Image Artifact Rating

Survey on Graph Neural Network Acceleration: An Algorithmic Perspective

Measuring disentangled generative spatio-temporal representation

L0Learn: A Scalable Package for Sparse Learning using L0 Regularization

Weakly-Supervised Semantic Segmentation with Visual Words Learning and
  Hybrid Pooling

On Real-time Image Reconstruction with Neural Networks for MRI-guided

Understanding Hyperdimensional Computing for Parallel Single-Pass
  Learning

The leap to ordinal: detailed functional prognosis after traumatic brain
  injury with a flexible modelling approach

HW/SW Co-design for Reliable In-memory Brain-inspired Hyperdimensional
  Computing

Proceedings of the Robust Artificial Intelligence System Assurance
  (RAISA) Workshop 2022

SHAS: Approaching optimal Segmentation for End-to-End Speech Translation

A Neural Network Model of Continual Learning with Cognitive Control

Sampling Strategy for Fine-Tuning Segmentation Models to Crisis Area
  under Scarcity of Data

Discovering Concepts in Learned Representations using Statistical
  Inference and Interactive Visualization

Estimation of Clinical Workload and Patient Activity using Deep Learning
  and Optical Flow

Robust Bayesian Inference for Simulator-based Models via the MMD
  Posterior Bootstrap

FedQAS: Privacy-aware machine reading comprehension with federated
  learning

Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets

Online Learning to Transport via the Minimal Selection Principle

Predicting Human Similarity Judgments Using Large Language Models

New Projection-free Algorithms for Online Convex Optimization with
  Adaptive Regret Guarantees

Multivariate Analysis for Multiple Network Data via Semi-Symmetric
  Tensor PCA

PINs: Progressive Implicit Networks for Multi-Scale Neural

Active Learning Improves Performance on Symbolic RegressionTasks in
  StackGP

Sharper Rates for Separable Minimax and Finite Sum Optimization via
  Primal-Dual Extragradient Methods

Offline Reinforcement Learning with Realizability and Single-policy
  Concentrability

A Local Geometric Interpretation of Feature Extraction in Deep

Reducing Redundancy in the Bottleneck Representation of the Autoencoders

Class Distance Weighted Cross-Entropy Loss for Ulcerative Colitis
  Severity Estimation

Reinforcement Learning with Sparse Rewards using Guidance from Offline

High-performance automatic categorization and attribution of inventory
  catalogs

Missing Data Imputation and Acquisition with Deep Hierarchical Models
  and Hamiltonian Monte Carlo

Reproducibility in Optimization: Theoretical Framework and Limits

Stochastic Contextual Dueling Bandits under Linear Stochastic
  Transitivity Models

Stability Analysis of Recurrent Neural Networks by IQC with Copositive
  Mutipliers

Adjoint-aided inference of Gaussian process driven differential
  equations

Semantic Segmentation of Anaemic RBCs Using Multilevel Deep
  Convolutional Encoder-Decoder Network

Topic Discovery via Latent Space Clustering of Pretrained Language Model

Noise fingerprints in quantum computers: Machine learning software tools

Neural Sheaf Diffusion: A Topological Perspective on Heterophily and
  Oversmoothing in GNNs

Soft Robots Learn to Crawl: Jointly Optimizing Design and Control with
  Sim-to-Real Transfer

Optimal Hyperparameters and Structure Setting of Multi-Objective Robust
  CNN Systems via Generalized Taguchi Method and Objective Vector Norm

Precision Radiotherapy via Information Integration of Expert Human
  Knowledge and AI Recommendation to Optimize Clinical Decision Making

Universal Hopfield Networks: A General Framework for Single-Shot
  Associative Memory Models

A survey of unsupervised learning methods for high-dimensional
  uncertainty quantification in black-box-type problems

AI-based approach for improving the detection of blood doping in sports

Generating Training Data with Language Models: Towards Zero-Shot

Multi-modal unsupervised brain image registration using edge maps

Multimodal Audio-Visual Information Fusion using Canonical-Correlated
  Graph Neural Network for Energy-Efficient Speech Enhancement

Techtile -- Open 6G R&D Testbed for Communication, Positioning, Sensing,
  WPT and Federated Learning

A Neural Network based Framework for Effective Laparoscopic Video

Leverage Score Sampling for Tensor Product Matrices in Input Sparsity
  Time

A Model-Agnostic Causal Learning Framework for Recommendation using
  Search Data

Optimal learning rate schedules in high-dimensional non-convex
  optimization problems

Optimising hadronic collider simulations using amplitude neural networks

Prediction Sensitivity: Continual Audit of Counterfactual Fairness in
  Deployed Classifiers

Contextualize Me -- The Case for Context in Reinforcement Learning

Lightweight Jet Reconstruction and Identification as an Object Detection
  Task

Recurrent Spectral Network (RSN): shaping the basin of attraction of a
  discrete map to reach automated classification

Data-driven Safe Control of Linear Systems Under Epistemic and Aleatory
  Uncertainties

CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph
  Convolutional Neural Networks and Multi-Head Self-Attention

Finding Optimal Arms in Non-stochastic Combinatorial Bandits with
  Semi-bandit Feedback and Finite Budget

False Memory Formation in Continual Learners Through Imperceptible
  Backdoor Trigger

Rethinking Goal-conditioned Supervised Learning and Its Connection to
  Offline RL

Predicting the intended action using internal simulation of perception

Conditional Drums Generation using Compound Word Representations

A Multi-Task Recurrent Neural Network for End-to-End Dynamic Occupancy
  Grid Mapping

Adapting to Mixing Time in Stochastic Optimization with Markovian Data

Revisiting QMIX: Discriminative Credit Assignment by Gradient Entropy

Towards Empirical Process Theory for Vector-Valued Functions: Metric
  Entropy of Smooth Function Classes

Agree to Disagree: Diversity through Disagreement for Better
  Transferability

A.I. and Data-Driven Mobility at Volkswagen Financial Services AG

Time-Frequency Mask Aware Bi-directional LSTM: A Deep Learning Approach
  for Underwater Acoustic Signal Separation

A hypothesis-driven method based on machine learning for neuroimaging

Empirical Risk Minimization with Relative Entropy Regularization:
  Optimality and Sensitivity Analysis

Improving short-term bike sharing demand forecast through an irregular

Temporal Logic Guided Motion Primitives for Complex Manipulation Tasks
  with User Preferences

A new perspective on classification: optimally allocating limited
  resources to uncertain tasks

A Reinforcement Learning Approach to Domain-Knowledge Inclusion Using
  Grammar Guided Symbolic Regression

Molecular-scale Integration of Multi-modal Sensing and Neuromorphic
  Computing with Organic Electrochemical Transistors

Cost-effective Framework for Gradual Domain Adaptation with
  Multifidelity

House Price Valuation Model Based on Geographically Neural Network
  Weighted Regression: The Case Study of Shenzhen, China

Generalized Strategic Classification and the Case of Aligned Incentives

MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty

Who to Watch Next: Two-side Interactive Networks for Live Broadcast

Anchor Graph Structure Fusion Hashing for Cross-Modal Similarity Search

ARIBA: Towards Accurate and Robust Identification of Backdoor Attacks in

Vertical Federated Learning: Challenges, Methodologies and Experiments

Can Open Domain Question Answering Systems Answer Visual Knowledge
  Questions?

FCM-DNN: diagnosing coronary artery disease by deep accuracy Fuzzy
  C-Means clustering model

TinyM$^2$Net: A Flexible System Algorithm Co-designed Multimodal
  Learning Framework for Tiny Devices

On the Implicit Bias of Gradient Descent for Temporal Extrapolation

Image Difference Captioning with Pre-training and Contrastive Learning

Neural Architecture Search for Energy Efficient Always-on Audio Models

A Projection-free Algorithm for Constrained Stochastic Multi-level

Amplitude Spectrum Transformation for Open Compound Domain Adaptive

A decision-tree framework to select optimal box-sizes for product
  shipments

A Data-Driven Approach to Robust Hypothesis Testing Using Sinkhorn
  Uncertainty Sets

Improving greedy core-set configurations for active learning with
  uncertainty-scaled distances

Distillation with Contrast is All You Need for Self-Supervised Point
  Cloud Representation Learning

A multiscale spatiotemporal approach for smallholder irrigation
  detection

Parametric t-Stochastic Neighbor Embedding With Quantum Neural Network

Learning Robust Convolutional Neural Networks with Relevant Feature
  Focusing via Explanations

Application of the Affinity Propagation Clustering Technique to obtain
  traffic accident clusters at macro, meso, and micro levels

Data-Driven Online Interactive Bidding Strategy for Demand Response

Improving Computational Complexity in Statistical Models with
  Second-Order Information

Managers versus Machines: Do Algorithms Replicate Human Intuition in
  Credit Ratings?

Fault Detection and Diagnosis with Imbalanced and Noisy Data: A Hybrid
  Framework for Rotating Machinery

Understanding and Shifting Preferences for Battery Electric Vehicles

Covariate-informed Representation Learning to Prevent Posterior Collapse
  of iVAE

Data-Driven Chance Constrained Control using Kernel Distribution

TransformNet: Self-supervised representation learning through predicting
  geometric transformations

Police Text Analysis: Topic Modeling and Spatial Relative Density

Federated Learning of Generative Image Priors for MRI Reconstruction

Exploring the Limits of Domain-Adaptive Training for Detoxifying
  Large-Scale Language Models

A Speech Intelligibility Enhancement Model based on Canonical
  Correlation and Deep Learning for Hearing-Assistive Technologies

SPIRAL: Self-supervised Perturbation-Invariant Representation Learning
  for Speech Pre-Training

Improved Mispronunciation detection system using a hybrid CTC-ATT based
  approach for L2 English speakers

Online Actuator Selection and Controller Design for Linear Quadratic
  Regulation over a Finite Horizon

Bit-serial Weight Pools: Compression and Arbitrary Precision Execution
  of Neural Networks on Resource Constrained Processors

Molecule Generation from Input-Attributions over Graph Convolutional
  Networks

Semi-Supervised GCN for learning Molecular Structure-Activity

Gesture-based Human-Machine Interaction: Taxonomy, Problem Definition,
  and Analysis

Pre-Trained Language Transformers are Universal Image Classifiers

Mapping the Buried Cable by Ground Penetrating Radar and
  Gaussian-Process Regression

Dense Pixel-Labeling for Reverse-Transfer and Diagnostic Learning on
  Lung Ultrasound for COVID-19 and Pneumonia Detection

Investigating the impact of free energy based behavior on human in
  human-agent interaction

Unsupervised Image Fusion Method based on Feature Mutual Mapping

TGFuse: An Infrared and Visible Image Fusion Approach Based on
  Transformer and Generative Adversarial Network

SURDS: Self-Supervised Attention-guided Reconstruction and Dual Triplet
  Loss for Writer Independent Offline Signature Verification

Leveraging Structural Properties of Source Code Graphs for Just-In-Time
  Bug Prediction

Autonomous Vehicles: Open-Source Technologies, Considerations, and
  Development

Multi-unit Double Auctions: Equilibrium Analysis and Bidding Strategy
  using DDPG in Smart-grids

Analysis of various climate change parameters in India using machine
  learning

Analytically Integratable Zero-restlength Springs for Capturing Dynamic
  Modes unrepresented by Quasistatic Neural Networks

PowerGear: Early-Stage Power Estimation in FPGA HLS via Heterogeneous
  Edge-Centric GNNs

Multimodal data matters: language model pre-training over structured and
  unstructured electronic health records

Data-Driven Materials Discovery and Synthesis using Machine Learning
  Methods

ARPD: Anchor-free Rotation-aware People Detection using Topview Fisheye
  Camera

Model Generalization in Arrival Runway Occupancy Time Prediction by
  Feature Equivalences

Prediction of Neonatal Respiratory Distress in Term Babies at Birth from
  Digital Stethoscope Recorded Chest Sounds

Representation learnt by SGD and Adaptive learning rules -- Conditions
  that Vary Sparsity and Selectivity in Neural Network

A Classical Approach to Handcrafted Feature Extraction Techniques for
  Bangla Handwritten Digit Recognition

RecShard: Statistical Feature-Based Memory Optimization for
  Industry-Scale Neural Recommendation

Stochastic Coded Federated Learning with Convergence and Privacy

Dissipative Hamiltonian Neural Networks: Learning Dissipative and
  Conservative Dynamics Separately

Revisiting L1 Loss in Super-Resolution: A Probabilistic View and Beyond

A Wearable ECG Monitor for Deep Learning Based Real-Time Cardiovascular
  Disease Detection

Optimal Transport based Data Augmentation for Heart Disease Diagnosis

Real-time automatic polyp detection in colonoscopy using feature
  enhancement module and spatiotemporal similarity correlation unit

A Regularity Theory for Static Schrödinger Equations on $\mathbb{R}^d$
  in Spectral Barron Spaces

Documenting Geographically and Contextually Diverse Data Sources: The
  BigScience Catalogue of Language Data and Resources

Jointly Learning Knowledge Embedding and Neighborhood Consensus with
  Relational Knowledge Distillation for Entity Alignment

Negative-ResNet: Noisy Ambulatory Electrocardiogram Signal
  Classification Scheme

ViT-HGR: Vision Transformer-based Hand Gesture Recognition from High
  Density Surface EMG Signals

Underwater Acoustic Communication Channel Modeling using Deep Learning

Identifying a Training-Set Attack's Target Using Renormalized Influence

Learning Resource Allocation Policies from Observational Data with an
  Application to Homeless Services Delivery

Are Commercial Face Detection Models as Biased as Academic Models?

Migration of self-propelling agent in a turbulent environment with
  minimal energy consumption

Maximizing information from chemical engineering data sets: Applications
  to machine learning

Self-supervised Point Cloud Registration with Deep Versatile Descriptors

Variational Autoencoders for Reliability Optimization in Multi-Access
  Edge Computing Networks

PONI: Potential Functions for ObjectGoal Navigation with
  Interaction-free Learning

Proteome-scale Deployment of Protein Structure Prediction Workflows on
  the Summit Supercomputer

The VMC survey -- XLV. Proper motion of the outer LMC and the impact of
  the SMC

Reinforcement Learning Based Query Vertex Ordering Model for Subgraph
  Matching

Zero-Truncated Poisson Regression for Zero-Inflated Multiway Count Data

The Enforced Transfer: An Instance-Based Divide-and-Conquer Unsupervised
  Domain Adaptation Algorithm

Razmecheno: Named Entity Recognition from Digital Archive of Diaries
  "Prozhito"

Numerical Approximation of Partial Differential Equations by a Variable
  Projection Method with Artificial Neural Networks

Deep modelling of plasma and neutral fluctuations from gas puff
  turbulence imaging

Novel Blood Pressure Waveform Reconstruction from Photoplethysmography
  using Cycle Generative Adversarial Networks

The Vehicle Trajectory Prediction Based on ResNet and EfficientNet Model

ImpliCity: City Modeling from Satellite Images with Deep Implicit
  Occupancy Fields

Decentralized EM to Learn Gaussian Mixtures from Datasets Distributed by
  Features

DRAWNAPART: A Device Identification Technique based on Remote GPU

BIM LOD + Virtual Reality -- Using Game Engine for Visualization in
  Architectural & Construction Education

Challenges in Migrating Imperative Deep Learning Programs to Graph
  Execution: An Empirical Study

A Deep Learning Approach for the Detection of COVID-19 from Chest X-Ray
  Images using Convolutional Neural Networks

ReLSO: A Transformer-based Model for Latent Space Optimization and
  Generation of Proteins

Microphone Utility Estimation in Acoustic Sensor Networks using
  Single-Channel Signal Features

Community-based anomaly detection using spectral graph filtering

Do Smart Glasses Dream of Sentimental Visions? Deep Emotionship Analysis
  for Eyewear Devices

Learning Model Checking and the Kernel Trick for Signal Temporal Logic
  on Stochastic Processes

Input correlations impede suppression of chaos and learning in balanced
  rate networks

Ordinal-Quadruplet: Retrieval of Missing Classes in Ordinal Time Series

Fraction of broad absorption line quasars in different radio
  morphologies

A Bayesian Permutation training deep representation learning method for
  speech enhancement with variational autoencoder

CVAE-H: Conditionalizing Variational Autoencoders via Hypernetworks and
  Trajectory Forecasting for Autonomous Driving

Importance of Preprocessing in Histopathology Image Classification Using
  Deep Convolutional Neural Network

Probabilistic error cancellation with sparse Pauli-Lindblad models on
  noisy quantum processors

Large-Scale Graph Reinforcement Learning in Wireless Control Systems

STOPS: Short-Term-based Volatility-controlled Policy Search and its
  Global Convergence

A Method to Predict Semantic Relations on Artificial Intelligence Papers

Hyperspectral Image Super-resolution with Deep Priors and Degradation
  Model Inversion

A Novel Mix-normalization Method for Generalizable Multi-source Person

Deep Reinforcement Learning for Random Access in Machine-Type

Dynamic optimization of volatile fatty acids to enrich biohydrogen
  production using a deep learning neural network

Cache Allocation in Multi-Tenant Edge Computing via online Reinforcement
  Learning

MonarchNet: Differentiating Monarch Butterflies from Butterflies Species
  with Similar Phenotypes

Training Data Selection for Accuracy and Transferability of Interatomic

MMLatch: Bottom-up Top-down Fusion for Multimodal Sentiment Analysis

Optimal SQ Lower Bounds for Learning Halfspaces with Massart Noise

Interpretability in Convolutional Neural Networks for Building Damage
  Classification in Satellite Imagery

Linear Laws of Markov Chains with an Application for Anomaly Detection
  in Bitcoin Prices

Using Computational Grounded Theory to Understand Tutors' Experiences in
  the Gig Economy

Unifying and Boosting Gradient-Based Training-Free Neural Architecture
  Search

RISING a new framework for few-view tomographic image reconstruction

Hiding Behind Backdoors: Self-Obfuscation Against Generative Models

Generative Planning for Temporally Coordinated Exploration in

Exploration of Hyperdimensional Computing Strategies for Enhanced
  Learning on Epileptic Seizure Detection

Keeping Deep Lithography Simulators Updated: Global-Local Shape-Based
  Novelty Detection and Active Learning

Optimizing Tandem Speaker Verification and Anti-Spoofing Systems

Learning Semantics for Visual Place Recognition through Multi-Scale
  Attention

EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art
  Few-Shot Classification with Simple Ingredients

Shape-consistent Generative Adversarial Networks for multi-modal Medical
  segmentation maps

Which Style Makes Me Attractive? Interpretable Control Discovery and
  Counterfactual Explanation on StyleGAN

Balanced Graph Structure Learning for Multivariate Time Series

The Paradox of Choice: Using Attention in Hierarchical Reinforcement
  Learning

What You See is Not What the Network Infers: Detecting Adversarial
  Examples Based on Semantic Contradiction

Multiscale Generative Models: Improving Performance of a Generative
  Model Using Feedback from Other Dependent Generative Models

DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for
  AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise

Hierarchical Reinforcement Learning with Adversarially Guided Subgoals

Paired Image to Image Translation for Strikethrough Removal From
  Handwritten Words

Performance Analysis of Electrical Machines Using a Hybrid Data- and
  Physics-Driven Model

Unsupervised Audio Source Separation Using Differentiable Parametric
  Source Models

Unified Multimodal Punctuation Restoration Framework for Mixed-Modality
  Corpus

Debiasing pipeline improves deep learning model generalization for X-ray
  based lung nodule detection

GoSafeOpt: Scalable Safe Exploration for Global Optimization of

Consistent 3D Hand Reconstruction in Video via self-supervised Learning

Image features of a splashing drop on a solid surface extracted using a
  feedforward neural network

Communication-Efficient Stochastic Zeroth-Order Optimization for

Knowledge Graph Based Waveform Recommendation: A New Communication
  Waveform Design Paradigm

BTPK-based learning: An Interpretable Method for Named Entity

Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement
  Learning

Automated Heart and Lung Auscultation in Robotic Physical Examinations

Multiple Similarity Drug-Target Interaction Prediction with Random Walks
  and Matrix Factorization

Deep reinforcement learning for large-eddy simulation modeling in
  wall-bounded turbulence

Data and knowledge-driven approaches for multilingual training to
  improve the performance of speech recognition systems of Indian languages

Spherical Poisson Point Process Intensity Function Modeling and
  Estimation with Measure Transport

A Machine Learning Framework for Distributed Functional Compression over
  Wireless Channels in IoT

Disentangling Style and Speaker Attributes for TTS Style Transfer

Synthetic speech detection using meta-learning with prototypical loss

CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent
  Path Planning in Continuous Spaces

On-Device Learning with Cloud-Coordinated Data Augmentation for Extreme
  Model Personalization in Recommender Systems

Homotopic Policy Mirror Descent: Policy Convergence, Implicit
  Regularization, and Improved Sample Complexity

UniFormer: Unifying Convolution and Self-attention for Visual

AutoMC: Automated Model Compression based on Domain Knowledge and
  Progressive search strategy

Online Assessment Misconduct Detection using Internet Protocol and
  Behavioural Classification

A hybrid deep learning approach for purchasing strategy of carbon
  emission rights -- Based on Shanghai pilot market

Variational Auto-Encoder Based Variability Encoding for Dysarthric

Automated machine learning for secure key rate in discrete-modulated

Approximation bounds for norm constrained neural networks with
  applications to regression and GANs

Theoretical Exploration of Solutions of Feedforward ReLU Networks

COVID-19 forecasting using new viral variants and vaccination
  effectiveness models

Cross-Domain Document Layout Analysis via Unsupervised Document Style
  Guide

Towards Private Learning on Decentralized Graphs with Local Differential
  Privacy

MISeval: a Metric Library for Medical Image Segmentation Evaluation

An integrated recurrent neural network and regression model with spatial
  and climatic couplings for vector-borne disease dynamics

AttentionHTR: Handwritten Text Recognition Based on Attention
  Encoder-Decoder Networks

A Comprehensive Survey on Federated Learning: Concept and Applications

An Application of Pseudo-Log-Likelihoods to Natural Language Scoring

Unsupervised Severely Deformed Mesh Reconstruction (DMR) from a
  Single-View Image

Are Your Sensitive Attributes Private? Novel Model Inversion Attribute
  Inference Attacks on Classification Models

Sketch2PQ: Freeform Planar Quadrilateral Mesh Design via a Single Sketch

POTHER: Patch-Voted Deep Learning-Based Chest X-ray Bias Analysis for
  COVID-19 Detection

Survey and Systematization of 3D Object Detection Models and Methods

Simulating Using Deep Learning The World Trade Forecasting of
  Export-Import Exchange Rate Convergence Factor During COVID-19

ULSA: Unified Language of Synthesis Actions for Representation of
  Synthesis Protocols

Supervised Visual Attention for Simultaneous Multimodal Machine

Sparse-view Cone Beam CT Reconstruction using Data-consistent Supervised
  and Adversarial Learning from Scarce Training Data

LiteHAR: Lightweight Human Activity Recognition from WiFi Signals with
  Random Convolution Kernels

Reinforcement Routing on Proximity Graph for Efficient Recommendation

Self-adjusting optimization algorithm for solving the setunion knapsack
  problem

Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey

Gradient-guided Unsupervised Text Style Transfer via Contrastive
  Learning

Face recognition via compact second order image gradient orientations

Fast Transient Stability Prediction Using Grid-informed Temporal and
  Topological Embedding Deep Neural Network

Increasing the Cost of Model Extraction with Calibrated Proof of Work

A Generalized Weighted Optimization Method for Computational Learning
  and Inversion

Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning
  Programs

Weight Expansion: A New Perspective on Dropout and Generalization

Learning to Predict Gradients for Semi-Supervised Continual Learning

Hardware/Software Co-Programmable Framework for Computational SSDs to
  Accelerate Deep Learning Service on Large-Scale Graphs

pvCNN: Privacy-Preserving and Verifiable Convolutional Neural Network
  Testing

Dichotomic Pattern Mining with Applications to Intent Prediction from
  Semi-Structured Clickstream Datasets

An Attention-based ConvLSTM Autoencoder with Dynamic Thresholding for
  Unsupervised Anomaly Detection in Multivariate Time Series

ASCNet: Action Semantic Consistent Learning of Arbitrary Progress Levels
  for Early Action Prediction

Reading-strategy Inspired Visual Representation Learning for
  Text-to-Video Retrieval

Mixed X-Ray Image Separation for Artworks with Concealed Designs

Generative Adversarial Network Applications in Creating a Meta-Universe

An External Stability Audit Framework to Test the Validity of
  Personality Prediction in AI Hiring

Multi-Agent Adversarial Attacks for Multi-Channel Communications

Question rewriting? Assessing its importance for conversational question
  answering

glassoformer: a query-sparse transformer for post-fault power grid
  voltage prediction

Background Invariant Classification on Infrared Imagery by Data
  Efficient Training and Reducing Bias in CNNs

Physics-Aware Safety-Assured Design of Hierarchical Neural Network based
  Planner

Dual-Flattening Transformers through Decomposed Row and Column Queries
  for Semantic Segmentation

MIDAS: Deep learning human action intention prediction from natural eye
  movement patterns

Artificial Intelligence for Suicide Assessment using Audiovisual Cues: A
  Review

Capture Agent Free Biosensing using Porous Silicon Arrays and Machine
  Learning

Predicting Physics in Mesh-reduced Space with Temporal Attention

Understanding the Effects of Second-Order Approximations in Natural
  Policy Gradient Reinforcement Learning

HiSTGNN: Hierarchical Spatio-temporal Graph Neural Networks for Weather

A Comprehensive Study on Occlusion Invariant Face Recognition under Face
  Mask Occlusion

Beyond Nonexpansive Operations in Quantitative Algebraic Reasoning

Joint Learning of Hierarchical Community Structure and Node
  Representations: An Unsupervised Approach

Implicit Bias of Projected Subgradient Method Gives Provable Robust
  Recovery of Subspaces of Unknown Codimension

A Multi-modal Fusion Framework Based on Multi-task Correlation Learning
  for Cancer Prognosis Prediction

Towards Sustainable Deep Learning for Wireless Fingerprinting

Explore the Expression: Facial Expression Generation using Auxiliary
  Classifier Generative Adversarial Network

High-throughput calculations combining machine learning to investigate
  the corrosion properties of binary Mg alloys

On the Robustness of Sparse Counterfactual Explanations to Adverse
  Perturbations

Online Auction-Based Incentive Mechanism Design for Horizontal Federated
  Learning with Budget Constraint

Uncertainty-aware deep learning methods for robust diabetic retinopathy

Optimal Estimation and Computational Limit of Low-rank Gaussian Mixtures

NAS-VAD: Neural Architecture Search for Voice Activity Detection

Causal effect of racial bias in data and machine learning algorithms on
  user persuasiveness & discriminatory decision making: An Empirical Study

A Collaborative Statistical Actor-Critic Learning Approach for 6G
  Network Slicing Control

Survival Prediction of Children Undergoing Hematopoietic Stem Cell
  Transplantation Using Different Machine Learning Classifiers by Performing
  Chi-squared Test and Hyper-parameter Optimization: A Retrospective Analysis

Actor-Critic-Based Learning for Zero-touch Joint Resource and Energy
  Control in Network Slicing

PiCO: Contrastive Label Disambiguation for Partial Label Learning

GlobalWalk: Learning Global-aware Node Embeddings via Biased Sampling

Semi-Supervised Adversarial Recognition of Refined Window Structures for
  Inverse Procedural Façade Modeling

Chinese Word Segmentation with Heterogeneous Graph Neural Network

Simulated Thick, Fully-Depleted CCD Exposures Analyzed with Deep

FALCON: Fast and Accurate Multipath Scheduling using Offline and Online
  Learning

A Robust Hot Subdwarfs Identification Method Based on Deep Learning

Diffractive all-optical computing for quantitative phase imaging

Error-Correcting Neural Networks for Two-Dimensional Curvature
  Computation in the Level-Set Method

Collaborative Representation for SPD Matrices with Application to
  Image-Set Classification

Few-shot Object Counting with Similarity-Aware Feature Enhancement

Learning Efficient Representations for Enhanced Object Detection on
  Large-scene SAR Images

A Review of Deep Learning Based Image Super-resolution Techniques

Modality Bank: Learn multi-modality images across data centers without
  sharing medical data

FedMed-GAN: Federated Domain Translation on Unsupervised Cross-Modality
  Brain Image Synthesis

Visual Representation Learning with Self-Supervised Attention for
  Low-Label High-data Regime

Critical Diameter for Continuous Evaporation is between 3 nm and 4 nm
  for Hydrophilic Nanopores

Tuning of gain layer doping concentration and Carbon implantation effect
  on deep gain layer

Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid
  Scattering Networks

Enabling Deep Learning on Edge Devices through Filter Pruning and
  Knowledge Transfer

A Noise-Robust Self-supervised Pre-training Model Based Speech
  Representation Learning for Automatic Speech Recognition

Recurrent Neural Networks with Mixed Hierarchical Structures and EM
  Algorithm for Natural Language Processing

Uncertainty-Cognizant Model Predictive Control for Energy Management of
  Residential Buildings with PVT and Thermal Energy Storage

Machine learning interatomic potential for high throughput screening and
  optimization of high-entropy alloys

Optimal Dynamic Regret in Proper Online Learning with Strongly Convex
  Losses and Beyond

Universal Online Learning with Unbounded Losses: Memory Is All You Need

Environment Generation for Zero-Shot Compositional Reinforcement
  Learning

Reinforcement Learning for Personalized Drug Discovery and Design for
  Complex Diseases: A Systems Pharmacology Perspective

Image-to-Video Re-Identification via Mutual Discriminative Knowledge
  Transfer

Tensor Ring Parametrized Variational Quantum Circuits for Large Scale
  Quantum Machine Learning

Variational Autoencoder based Metamodeling for Multi-Objective Topology
  Optimization of Electrical Machines

On the in vivo recognition of kidney stones using machine learning

GreaseLM: Graph REASoning Enhanced Language Models for Question
  Answering

Controlling extrapolations of nuclear properties with feature selection

Occupancy Information Ratio: Infinite-Horizon, Information-Directed,
  Parameterized Policy Search

Reliable Detection of Doppelgängers based on Deep Face Representations

APack: Off-Chip, Lossless Data Compression for Efficient Deep Learning
  Inference

Understanding and Detecting Hateful Content using Contrastive Learning

Representing Long-Range Context for Graph Neural Networks with Global
  Attention

Deconfounding to Explanation Evaluation in Graph Neural Networks

Machine Learning Algorithms for Prediction of Penetration Depth and
  Geometrical Analysis of Weld in Friction Stir Spot Welding Process

FedComm: Federated Learning as a Medium for Covert Communication

Real-Time Seizure Detection using EEG: A Comprehensive Comparison of
  Recent Approaches under a Realistic Setting

Contrastive and Selective Hidden Embeddings for Medical Image

Evaluating Generalization in Classical and Quantum Generative Models

Tuned Regularized Estimators for Linear Regression via Covariance
  Fitting

Structural properties and classification of variable stars: A study
  through unsupervised machine learning techniques

Inferring Brain Dynamics via Multimodal Joint Graph Representation
  EEG-fMRI

ERS: a novel comprehensive endoscopy image dataset for machine learning,
  compliant with the MST 3.0 specification

Impacts of Students Academic Performance Trajectories on Final Academic
  Success

Privacy Policies Across the Ages: Content and Readability of Privacy
  Policies 1996--2021

Less is Less: When Are Snippets Insufficient for Human vs Machine
  Relevance Estimation?

Personality Type Based on Myers-Briggs Type Indicator with Text Posting
  Style by using Traditional and Deep Learning

Dual Contrastive Learning: Text Classification via Label-Aware Data

Random Noise vs State-of-the-Art Probabilistic Forecasting Methods : A
  Case Study on CRPS-Sum Discrimination Ability

Context-Tuning: Learning Contextualized Prompts for Natural Language

Clipped DeepControl: deep neural network two-dimensional pulse design
  with an amplitude constraint layer

On the adaptation of recurrent neural networks for system identification

Unity Smoothing for Handling Inconsistent Evidence in Bayesian Networks
  and Unity Propagation for Faster Inference

Enhancing Pseudo Label Quality for Semi-Supervised Domain-Generalized

A phase transition for finding needles in nonlinear haystacks with LASSO

Heat Conduction Plate Layout Optimization using Physics-driven

Multi-view Monocular Depth and Uncertainty Prediction with Deep SfM in

Training Hybrid Classical-Quantum Classifiers via Stochastic Variational

VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning

Learning deterministic hydrodynamic equations from stochastic active
  particle dynamics

Dangerous Cloaking: Natural Trigger based Backdoor Attacks on Object
  Detectors in the Physical World

Pseudo-Labeled Auto-Curriculum Learning for Semi-Supervised Keypoint

Accelerate Model Parallel Training by Using Efficient Graph Traversal
  Order in Device Placement

Reinforcement Learning Your Way: Agent Characterization through Policy

Tensor-based Basis Function Learning for Three-dimensional Sound Speed
  Fields

SegTransVAE: Hybrid CNN -- Transformer with Regularization for medical

Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Data

AlphaFold Accelerates Artificial Intelligence Powered Drug Discovery:
  Efficient Discovery of a Novel Cyclin-dependent Kinase 20 (CDK20) Small
  Molecule Inhibitor

Research and experimental design of Astrojax double balls trajectory
  based on double pendulum system

Human Activity Recognition models using Limited Consumer Device Sensors

Hold On and Swipe: A Touch-Movement Based Continuous Authentication
  Schema based on Machine Learning

Individual Treatment Effect Estimation Through Controlled Neural Network
  Training in Two Stages

Robust Unsupervised Graph Representation Learning via Mutual Information

Blockchain-based Collaborated Federated Learning for Improved Security,
  Privacy and Reliability

What Can Machine Vision Do for Lymphatic Histopathology Image Analysis:
  A Comprehensive Review

Fair Node Representation Learning via Adaptive Data Augmentation

Deep Learning-Accelerated 3D Carbon Storage Reservoir Pressure
  Forecasting Based on Data Assimilation Using Surface Displacement from InSAR

AutoDistill: an End-to-End Framework to Explore and Distill
  Hardware-Efficient Language Models

Instance-Dependent Confidence and Early Stopping for Reinforcement
  Learning

Spatiotemporal Analysis Using Riemannian Composition of Diffusion
  Operators

Can Machines Generate Personalized Music? A Hybrid Favorite-aware Method
  for User Preference Music Transfer

Learning Two-Step Hybrid Policy for Graph-Based Interpretable

Using a Novel COVID-19 Calculator to Measure Positive U.S.
  Socio-Economic Impact of a COVID-19 Pre-Screening Solution (AI/ML)

Optimal variance-reduced stochastic approximation in Banach spaces

LRSVRG-IMC: An SVRG-Based Algorithm for LowRank Inductive Matrix

How does unlabeled data improve generalization in self-training? A
  one-hidden-layer theoretical analysis

Vertical Federated Edge Learning with Distributed Integrated Sensing and

High-Dimensional Inference over Networks: Linear Convergence and
  Statistical Guarantees

alpha-Deep Probabilistic Inference (alpha-DPI): efficient uncertainty
  quantification from exoplanet astrometry to black hole feature extraction

Deep reinforcement learning under signal temporal logic constraints
  using Lagrangian relaxation

TOFU: Towards Obfuscated Federated Updates by Encoding Weight Updates
  into Gradients from Proxy Data

Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement
  Learning

RamanNet: A generalized neural network architecture for Raman Spectrum
  Analysis

Iterated Reasoning with Mutual Information in Cooperative and Byzantine
  Decentralized Teaming

Deep Attention-Based Supernovae Classification of Multi-Band
  Light-Curves

Classic Graph Structural Features Outperform Factorization-Based Graph
  Embedding Methods on Community Labeling

DDPG-Driven Deep-Unfolding with Adaptive Depth for Channel Estimation
  with Sparse Bayesian Learning

GenGNN: A Generic FPGA Framework for Graph Neural Network Acceleration

Post-Training Detection of Backdoor Attacks for Two-Class and
  Multi-Attack Scenarios

Assembling a Cyber Range to Evaluate Artificial Intelligence / Machine
  Learning (AI/ML) Security Tools

Transfer Learning Approaches for Building Cross-Language Dense Retrieval
  Models

Evaluation of data imputation strategies in complex, deeply-phenotyped
  data sets: the case of the EU-AIMS Longitudinal European Autism Project

An Empirical Investigation of Model-to-Model Distribution Shifts in
  Trained Convolutional Filters

Lensing Machines: Representing Perspective in Latent Variable Models

Federated Learning with Heterogeneous Architectures using Graph
  HyperNetworks

LOSTIN: Logic Optimization via Spatio-Temporal Information with Hybrid
  Graph Models

Regional Negative Bias in Word Embeddings Predicts Racial Animus--but
  only via Name Frequency

Kinit Classification in Ethiopian Chants, Azmaris and Modern Music: A
  New Dataset and CNN Benchmark

A Prescriptive Dirichlet Power Allocation Policy with Deep Reinforcement
  Learning

Neural Network Quantization with AI Model Efficiency Toolkit (AIMET)

VUDENC: Vulnerability Detection with Deep Learning on a Natural Codebase
  for Python

A Visual Analytics Approach to Building Logistic Regression Models and
  its Application to Health Records

SoftDropConnect (SDC) -- Effective and Efficient Quantification of the
  Network Uncertainty in Deep MR Image Analysis

Scalable Sampling for Nonsymmetric Determinantal Point Processes

Unicorn: Reasoning about Configurable System Performance through the
  lens of Causality

Learning Pixel Trajectories with Multiscale Contrastive Random Walks

Revisiting Weakly Supervised Pre-Training of Visual Perception Models

Estimation of Conditional Random Coefficient Models using Machine

Physics-informed neural networks for modeling rate- and
  temperature-dependent plasticity

Photochemical Runaway in Exoplanet Atmospheres: Implications for
  Biosignatures

AI Technical Considerations: Data Storage, Cloud usage and AI Pipeline

Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and

How to Teach a Teacher: Challenges and Opportunities in Physics Teacher
  Education in Germany and the USA

Heavy-tailed Sampling via Transformed Unadjusted Langevin Algorithm

Prediction of the electron density of states for crystalline compounds
  with Atomistic Line Graph Neural Networks (ALIGNN)

Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis

Dense Air Quality Maps Using Regressive Facility Location Based Drive By
  Sensing

Dynamically Tagged Groups of Metal-Poor Stars II. The Radial Velocity
  Experiment Data Release 6

Learning with latent group sparsity via heat flow dynamics on networks

Accelerated Gradient Flow: Risk, Stability, and Implicit Regularization

From Psychological Curiosity to Artificial Curiosity: Curiosity-Driven
  Learning in Artificial Intelligence Tasks

DIVA-DAF: A Deep Learning Framework for Historical Document Image
  Analysis

Lead-lag detection and network clustering for multivariate time series
  with an application to the US equity market

Symplectic Momentum Neural Networks -- Using Discrete Variational
  Mechanics as a prior in Deep Learning

End-to-end Generative Pretraining for Multimodal Video Captioning

Fault location in High Voltage Multi-terminal dc Networks Using Ensemble
  Learning

Generalizing Off-Policy Evaluation From a Causal Perspective For
  Sequential Decision-Making

OpenIPDM: A Probabilistic Framework for Estimating the Deterioration and
  Effect of Interventions on Bridges

Exploiting Meta-Cognitive Features for a Machine-Learning-Based One-Shot
  Group-Decision Aggregation

"Project smells" -- Experiences in Analysing the Software Quality of ML
  Projects with mllint

Learning Multi-agent Options for Tabular Reinforcement Learning using
  Factor Graphs

Sketch-and-Lift: Scalable Subsampled Semidefinite Program for $K$-means

CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised
  Point Cloud Learning

Machine Learning to Decipher the Astrophysical Processes at Cosmic Dawn

Enhancement or Super-Resolution: Learning-based Adaptive Video Streaming
  with Client-Side Video Processing

TextHacker: Learning based Hybrid Local Search Algorithm for Text
  Hard-label Adversarial Attack

An Efficient Lorentz Equivariant Graph Neural Network for Jet Tagging

Conditional Generation of Medical Time Series for Extrapolation to
  Underrepresented Populations

Category-Association Based Similarity Matching for Novel Object
  Pick-and-Place Task

From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic
  Review on Evaluating Explainable AI

Cognitive Ledger Project: Towards Building Personal Digital Twins
  Through Cognitive Blockchain

An Automatic Control System with Human-in-the-Loop for Training
  Skydiving Maneuvers: Proof-of-Concept Experiment

WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for
  Superresolution

DRTCI: Learning Disentangled Representations for Temporal Causal
  Inference

Survey on Federated Learning Threats: concepts, taxonomy on attacks and
  defences, experimental study and challenges

Deep Unsupervised Contrastive Hashing for Large-Scale Cross-Modal
  Text-Image Retrieval in Remote Sensing

Cross-Lingual Text-to-Speech Using Multi-Task Learning and Speaker
  Classifier Joint Training

Learning robust perceptive locomotion for quadrupedal robots in the wild

Self-Awareness Safety of Deep Reinforcement Learning in Road Traffic
  Junction Driving

Priors, Hierarchy, and Information Asymmetry for Skill Transfer in

NNP/MM: Fast molecular dynamics simulations with machine learning
  potentials and molecular mechanics

Statistical Depth Functions for Ranking Distributions: Definitions,
  Statistical Learning and Applications

Physical Activity Recognition by Utilising Smartphone Sensor Signals

Before and After: Machine learning for perioperative patient care

Predicting and machine learning structural instabilities in 2D materials

Kernel Methods and Multi-layer Perceptrons Learn Linear Models in High
  Dimensions

Linguistically-driven Multi-task Pre-training for Low-resource Neural

VISA: An Ambiguous Subtitles Dataset for Visual Scene-Aware Machine

Predicting Vegetation Stratum Occupancy from Airborne LiDAR Data with

Low-Interception Waveform: To Prevent the Recognition of Spectrum
  Waveform Modulation via Adversarial Examples

Runtime Monitoring and Statistical Approaches for Correlation Analysis
  of ECG and PPG

Combining Machine Learning with Knowledge Engineering to detect Fake
  News in Social Networks-a survey

Domain Generalization via Frequency-domain-based Feature Disentanglement
  and Interaction

Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning
  Optimization Landscape

UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized

A Deep Learning Approach To Estimation Using Measurements Received Over
  a Network

Fine-Grained Trajectory-based Travel Time Estimation for Multi-city
  Scenarios Based on Deep Meta-Learning

Steerable Pyramid Transform Enables Robust Left Ventricle Quantification

Predictive modeling of movements of refugees and internally displaced
  people: Towards a computational framework

PRMI: A Dataset of Minirhizotron Images for Diverse Plant Root Study

CELESTIAL: Classification Enabled via Labelless Embeddings with
  Self-supervised Telescope Image Analysis Learning

Self-supervised Video Representation Learning with Cascade Positive
  Retrieval

Identifying critical nodes in complex networks by graph representation
  learning

Unsupervised Graph Poisoning Attack via Contrastive Loss
  Back-propagation

AstBERT: Enabling Language Model for Financial Code Understanding with
  Abstract Syntax Trees

Caring Without Sharing: A Federated Learning Crowdsensing Framework for
  Diversifying Representation of Cities

EdgeMap: CrowdSourcing High Definition Map in Automotive Edge Computing

APIRO: A Framework for Automated Security Tools API Recommendation

Recursive Constraints to Prevent Instability in Constrained

Effective Anomaly Detection in Smart Home by Integrating Event Time
  Intervals

Study of filtered-x logarithmic recursive least $p$-power algorithm

Informative Pseudo-Labeling for Graph Neural Networks with Few Labels

Fusion Learning for 1-Bit CS-based Superimposed CSI Feedback with
  Bi-Directional Channel Reciprocity

Machine-Learning enabled analysis of ELM filament dynamics in KSTAR

Experimental Large-Scale Jet Flames' Geometrical Features Extraction for
  Risk Management Using Infrared Images and Deep Learning Segmentation Methods

Estimating Egocentric 3D Human Pose in the Wild with External Weak

Learning-by-Novel-View-Synthesis for Full-Face Appearance-Based 3D Gaze

PROMPT: Learning Dynamic Resource Allocation Policies for Edge-Network

Communication-Efficient Device Scheduling for Federated Learning Using
  Stochastic Optimization

ASL Video Corpora & Sign Bank: Resources Available through the American
  Sign Language Linguistic Research Project (ASLLRP)

Enhanced Performance of Pre-Trained Networks by Matched Augmentation

Unsupervised Personalization of an Emotion Recognition System: The
  Unique Properties of the Externalization of Valence in Speech

Investigating underdiagnosis of AI algorithms in the presence of
  multiple sources of dataset bias

Learning-From-Disagreement: A Model Comparison and Visual Analytics
  Framework

Correlated-informed neural networks: a new machine learning framework to
  predict pressure drop in micro-channels

Hybrid Reinforcement Learning-Based Eco-Driving Strategy for Connected
  and Automated Vehicles at Signalized Intersections

Inferring $S_8(z)$ and $γ(z)$ with cosmic growth rate measurements
  using machine learning

BLINC: Lightweight Bimodal Learning for Low-Complexity VVC Intra Coding

Building a Performance Model for Deep Learning Recommendation Model
  Training on GPUs

The quenching of galaxies, bulges, and disks since cosmic noon: A
  machine learning approach for identifying causality in astronomical data

ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes

Semantic-Aware Implicit Neural Audio-Driven Video Portrait Generation

Enhanced detection techniques of Orbital Angular Momentum states in the
  classical and quantum regimes

Towards a General Deep Feature Extractor for Facial Expression

Look Closer: Bridging Egocentric and Third-Person Views with
  Transformers for Robotic Manipulation

A Full $w$CDM Analysis of KiDS-1000 Weak Lensing Maps using Deep
  Learning

Uncertainty Quantification in Scientific Machine Learning: Methods,
  Metrics, and Comparisons

DeepAlloc: CNN-Based Approach to Efficient Spectrum Allocation in Shared
  Spectrum Systems

A pipeline for automated processing of Corona KH-4 (1962-1972) stereo
  imagery

Deep Capsule Encoder-Decoder Network for Surrogate Modeling and

Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized
  Learning: Part II

SCOTCH: An Efficient Secure Computation Framework for Secure Aggregation

"Learn the Facts About COVID-19": Analyzing the Use of Warning Labels on
  TikTok Videos

Visual Exploration of Machine Learning Model Behavior with Hierarchical
  Surrogate Rule Sets

Improving Behavioural Cloning with Human-Driven Dynamic Dataset

Evaluating and predicting the Efficiency Index for Stereotactic
  Radiosurgery Plans using RapidMiner GO(JAVA) Based Artificial Intelligence

Enhancing the Security & Privacy of Wearable Brain-Computer Interfaces

Debiased Graph Neural Networks with Agnostic Label Selection Bias

Online POI Recommendation: Learning Dynamic Geo-Human Interactions in
  Streams

Object Detection in Autonomous Vehicles: Status and Open Challenges

  Learning: Part I

Coupled Support Tensor Machine Classification for Multimodal
  Neuroimaging Data

Learning to Rank For Push Notifications Using Pairwise Expected Regret

Tiny, always-on and fragile: Bias propagation through design choices in
  on-device machine learning workflows

Code Sophistication: From Code Recommendation to Logic Recommendation

Top-Down Influence? Predicting CEO Personality and Risk Impact from
  Speech Transcripts

Semi-automatic 3D Object Keypoint Annotation and Detection for the
  Masses

Multiblock ADMM for nonsmooth nonconvex optimization with nonlinear
  coupling constraints

Robotic Irrigation Water Management: Estimating Soil Moisture Content by
  Feel and Appearance

Convergence Acceleration in Machine Learning Potentials for Atomistic

A Survey on Training Challenges in Generative Adversarial Networks for
  Biomedical Image Analysis

Cognitive Explainers of Graph Neural Networks Based on Medical Concepts

CAST: Character labeling in Animation using Self-supervision by Tracking

Uncovering More Shallow Heuristics: Probing the Natural Language
  Inference Capacities of Transformer-Based Pre-Trained Language Models Using
  Syllogistic Patterns

ReGNL: Rapid Prediction of GDP during Disruptive Events using
  Nightlights

A Confidence-based Iterative Solver of Depths and Surface Normals for
  Deep Multi-view Stereo

Real-time Recognition of Yoga Poses using computer Vision for Smart
  Health Care

Inferring Astrophysics and Dark Matter Properties from 21cm Tomography

DMF-Net: Dual-Branch Multi-Scale Feature Fusion Network for copy forgery
  identification of anti-counterfeiting QR code

Superpixel Pre-Segmentation of HER2 Slides for Efficient Annotation

Learned Cone-Beam CT Reconstruction Using Neural Ordinary Differential
  Equations

Recent Advances in Tunable Metasurfaces: Materials, Design and

Simpler is better: spectral regularization and up-sampling techniques
  for variational autoencoders

Virtual Coil Augmentation Technology for MR Coil Extrapolation via Deep
  Learning

Signal Strength and Noise Drive Feature Preference in CNN Image

Graph Neural Network-based Android Malware Classification with Jumping
  Knowledge

Automation of Citation Screening for Systematic Literature Reviews using
  Neural Networks: A Replicability Study

Privacy-Aware Human Mobility Prediction via Adversarial Networks

Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image
  Encoders

Predicting The Stock Trend Using News Sentiment Analysis and Technical
  Indicators in Spark

Gaussian Process Position-Dependent Feedforward: With Application to a
  Wire Bonder

Rate-Splitting assisted Massive Machine-Type Communications in Cell-Free

Development of Fake News Model using Machine Learning through Natural

A Review of Augmented Reality Apps for an AR-Based STEM Education
  Framework

Bayesian Inference with Nonlinear Generative Models: Comments on Secure
  Learning

Cortical lesions, central vein sign, and paramagnetic rim lesions in
  multiple sclerosis: emerging machine learning techniques and future avenues

The Enforcers: Consistent Sparse-Discrete Methods for Constraining
  Informative Emergent Communication

TransFuse: A Unified Transformer-based Image Fusion Framework using

Towards Energy Efficient Distributed Federated Learning for 6G Networks

Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax

Cross-Language Binary-Source Code Matching with Intermediate

Flexible Parallel Learning in Edge Scenarios: Communication,
  Computational and Energy Cost

Multiway Spherical Clustering via Degree-Corrected Tensor Block Models

KappaFace: Adaptive Additive Angular Margin Loss for Deep Face

MetaV: A Meta-Verifier Approach to Task-Agnostic Model Fingerprinting

Analyzing Multispectral Satellite Imagery of South American Wildfires

Variational Autoencoder Generative Adversarial Network for Synthetic
  Data Generation in Smart Home

Team Learning-Based Resource Allocation for Open Radio Access Network
  (O-RAN)

A 333.9uW 0.158mm$^2$ Saber Learning with Rounding based Post-Quantum
  Crypto Accelerator

TriCoLo: Trimodal Contrastive Loss for Fine-grained Text to Shape
  Retrieval

Dynamic Bandwidth Allocation for PON Slicing with Performance-Guaranteed
  Online Convex Optimization

Sandbox Sample Classification Using Behavioral Indicators of Compromise

Weakly Supervised Contrastive Learning for Better Severity Scoring of
  Lung Ultrasound

Learning physics-constrained subgrid-scale closures in the small-data
  regime for stable and accurate LES

Lung Swapping Autoencoder: Learning a Disentangled Structure-texture
  Representation of Chest Radiographs

A Deep Learning Approach for Semantic Segmentation of Unbalanced Data in
  Electron Tomography of Catalytic Materials

Transparent Single-Cell Set Classification with Kernel Mean Embeddings

VaxEquity: A Data-Driven Risk Assessment and Optimization Framework for
  Equitable Vaccine Distribution

Towards Federated Clustering: A Federated Fuzzy $c$-Means Algorithm
  (FFCM)

OSSID: Online Self-Supervised Instance Detection by (and for) Pose

Solving Dynamic Principal-Agent Problems with a Rationally Inattentive
  Principal

Enabling Deep Reinforcement Learning on Energy Constrained Devices at
  the Edge of the Network

Efficient emulation of relativistic heavy ion collisions with transfer
  learning

Convergence of Policy Gradient for Entropy Regularized MDPs with Neural
  Network Approximation in the Mean-Field Regime

Accelerating Bayesian inference of dependency between complex biological
  traits

Extending the Vocabulary of Fictional Languages using Neural Networks

Computing with two quantum reservoirs connected via optimized two-qubit
  nonselective measurements

Conservative Distributional Reinforcement Learning with Safety

TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate

A new generation of simultaneous fits to LHC data using deep learning

Language Models as Zero-Shot Planners: Extracting Actionable Knowledge
  for Embodied Agents

Minimax Optimality (Probably) Doesn't Imply Distribution Learning for
  GANs

Studying Popular Open Source Machine Learning Libraries and Their
  Cross-Ecosystem Bindings

Invariant Representation Driven Neural Classifier for Anti-QCD Jet
  Tagging

MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory

Low Regret Binary Sampling Method for Efficient Global Optimization of
  Univariate Functions

Unsupervised detection of decoupled subspaces: many-body scars and
  beyond

Safe Online Bid Optimization with Return-On-Investment and Budget
  Constraints subject to Uncertainty

Incompleteness of graph neural networks for points clouds in three
  dimensions

Real-time X-ray Phase-contrast Imaging Using SPINNet -- A Speckle-based
  Phase-contrast Imaging Neural Network

Synthesizing explainable counterfactual policies for algorithmic
  recourse with program synthesis

Leveraging Real Talking Faces via Self-Supervision for Robust Forgery
  Detection

Online, Informative MCMC Thinning with Kernelized Stein Discrepancy

Instance-aware Prompt Learning for Language Understanding and Generation

Contextual road lane and symbol generation for autonomous driving

Sectioning of Biomedical Abstracts: A Sequence of Sequence
  Classification Task

Variational Inference for Quantifying Inter-observer Variability in
  Segmentation of Anatomical Structures

What Makes the Story Forward? Inferring Commonsense Explanations as
  Prompts for Future Event Generation

K-nearest Multi-agent Deep Reinforcement Learning for Collaborative
  Tasks with a Variable Number of Agents

Who Increases Emergency Department Use? New Insights from the Oregon
  Health Insurance Experiment

CERBERUS: Autonomous Legged and Aerial Robotic Exploration in the Tunnel
  and Urban Circuits of the DARPA Subterranean Challenge

Model Transferring Attacks to Backdoor HyperNetwork in Personalized

Generalized sparse Bayesian learning and application to image

Close Enough? A Large-Scale Exploration of Non-Experimental Approaches
  to Advertising Measurement

Differentially Private Reinforcement Learning with Linear Function

System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via
  Descriptive Policy

Combining Fast and Slow Thinking for Human-like and Efficient Navigation
  in Constrained Environments

MuSCLe: A Multi-Strategy Contrastive Learning Framework for Weakly
  Supervised Semantic Segmentation

Accelerating Representation Learning with View-Consistent Dynamics in
  Data-Efficient Reinforcement Learning

Deep Cervix Model Development from Heterogeneous and Partially Labeled
  Image Datasets

Adversarial vulnerability of powerful near out-of-distribution detection

Knock Detection in Combustion Engine Time Series Using a Theory-Guided
  1D Convolutional Neural Network Approach

On the Equivalence of Causal Models: A Category-Theoretic Approach

An Astro-Animation Class: Optimizing Artistic, Educational and Outreach
  Outcomes

Continual Coarse-to-Fine Domain Adaptation in Semantic Segmentation

Representation Learning on Heterostructures via Heterogeneous Anonymous
  Walks

AI for Closed-Loop Control Systems -- New Opportunities for Modeling,
  Designing, and Tuning Control Systems

AI-Aided Integrated Terrestrial and Non-Terrestrial 6G Solutions for
  Sustainable Maritime Networking

ZeroPrompt: Scaling Prompt-Based Pretraining to 1,000 Tasks Improves
  Zero-Shot Generalization

Structural Phase Transitions in SrTiO3 from Deep Potential Molecular
  Dynamics

AI-based Carcinoma Detection and Classification Using Histopathological
  Images: A Systematic Review

Online Learning for Failure-aware Edge Backup of Service Function Chains
  with the Minimum Latency

Temperature Field Inversion of Heat-Source Systems via Physics-Informed

Syntax-based data augmentation for Hungarian-English machine translation

Deep Graph Convolutional Network and LSTM based approach for predicting
  drug-target binding affinity

A Study on the Ambiguity in Human Annotation of German Oral History
  Interviews for Perceived Emotion Recognition and Sentiment Analysis

RePre: Improving Self-Supervised Vision Transformer with Reconstructive

Convergence of a robust deep FBSDE method for stochastic control

High-Level Synthesis Performance Prediction using GNNs: Benchmarking,
  Modeling, and Advancing

Landslide Susceptibility Modeling by Interpretable Neural Network

Network-based link prediction of scientific concepts -- a Science4Cast
  competition entry

Deep Learning Based Framework for Iranian License Plate Detection and

STURE: Spatial-Temporal Mutual Representation Learning for Robust Data
  Association in Online Multi-Object Tracking

Nonparametric Feature Selection by Random Forests and Deep Neural
  Networks

Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning
  Approach for Advertiser Modeling

Tutela: An Open-Source Tool for Assessing User-Privacy on Ethereum and
  Tornado Cash

Comparison of Bayesian and particle swarm algorithms for hyperparameter
  optimisation in machine learning applications in high energy physics

An Efficient Hashing-based Ensemble Method for Collaborative Outlier
  Detection

Pistol: Pupil Invisible Supportive Tool to extract Pupil, Iris, Eye
  Opening, Eye Movements, Pupil and Iris Gaze Vector, and 2D as well as 3D Gaze

Unsupervised Multimodal Word Discovery based on Double Articulation
  Analysis with Co-occurrence cues

When Facial Expression Recognition Meets Few-Shot Learning: A Joint and
  Alternate Learning Framework

Asymptotic self-similar blow up profile for 3-D Euler via

Label Dependent Attention Model for Disease Risk Prediction Using
  Multimodal Electronic Health Records

Data-Driven Deep Learning Based Hybrid Beamforming for Aerial Massive
  MIMO-OFDM Systems with Implicit CSI

Hierarchical Neural Network Approaches for Long Document Classification

Online Time Series Anomaly Detection with State Space Gaussian Processes

Knowledge Sharing via Domain Adaptation in Customs Fraud Detection

Dilated Convolutional Neural Networks for Lightweight Diacritics

Machine learning prediction for mean motion resonance behaviour -- The
  planar case

Convolutional Cobweb: A Model of Incremental Learning from 2D Images

Dialog Intent Induction via Density-based Deep Clustering Ensemble

Selecting and combining complementary feature representations and
  classifiers for hate speech detection

DeepRelease: Language-agnostic Release Notes Generation from Pull
  Requests of Open-source Software

GTrans: Spatiotemporal Autoregressive Transformer with Graph Embeddings
  for Nowcasting Extreme Events

PH-Net: Parallelepiped Microstructure Homogenization via 3D

On the Opportunity of Causal Learning in Recommendation Systems:
  Foundation, Estimation, Prediction and Challenges

AdaTerm: Adaptive T-Distribution Estimated Robust Moments towards
  Noise-Robust Stochastic Gradient Optimizer

Learning to Approximate: Auto Direction Vector Set Generation for
  Hypervolume Contribution Approximation

Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM

AESPA: Accuracy Preserving Low-degree Polynomial Activation for Fast
  Private Inference

Unpaired Referring Expression Grounding via Bidirectional Cross-Modal
  Matching

Evaluation of the Architecture Alternatives for Real-time Intrusion
  Detection Systems for Connected Vehicles

Observing how deep neural networks understand physics through the energy
  spectrum of one-dimensional quantum mechanics

Time-domain deep learning filtering of structured atmospheric noise for
  ground-based millimeter astronomy

Learning Neural Ranking Models Online from Implicit User Feedback

Generalization in Supervised Learning Through Riemannian Contraction

Equitable Community Resilience: The Case of Winter Storm Uri in Texas

HydraFusion: Context-Aware Selective Sensor Fusion for Robust and
  Efficient Autonomous Vehicle Perception

Explainable Ensemble Machine Learning for Breast Cancer Diagnosis based
  on Ultrasound Image Texture Features

Hate Speech in the Political Discourse on Social Media: Disparities
  Across Parties, Gender, and Ethnicity

Validation of object detection in UAV-based images using synthetic data

VAQF: Fully Automatic Software-Hardware Co-Design Framework for Low-Bit
  Vision Transformer

Improving the quality control of seismic data through active learning

A Brief Survey of Machine Learning Methods for Emotion Prediction using
  Physiological Data

Inferential Theory for Granular Instrumental Variables in High

Who supervises the supervisor? Model monitoring in production using deep
  feature embeddings with applications to workpiece inspection

Fairness in Federated Learning for Spatial-Temporal Applications

Using Machine Learning to Detect Rotational Symmetries from Reflectional
  Symmetries in 2D Images

Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source

Machine learning of log-likelihood functions in global analysis of
  parton distributions

Collapse by Conditioning: Training Class-conditional GANs with Limited
  Data

PerPaDa: A Persian Paraphrase Dataset based on Implicit Crowdsourcing
  Data Collection

Hyperspectral nanoscale mapping of hybrid perovskite photophysics at the
  single grain level

Spatiotemporal Costmap Inference for MPC via Deep Inverse Reinforcement
  Learning

A New Look at Dynamic Regret for Non-Stationary Stochastic Bandits

Patterns of near-crash events in a naturalistic driving dataset:
  applying rules mining

Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in
  Diffusion Probabilistic Models

AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object
  Detection

A Stock Trading System for a Medium Volatile Asset using Multi Layer

Bayesian Calibration of imperfect computer models using Physics-informed
  priors

Using machine learning to parametrize postmerger signals from binary
  neutron stars

MsEmoTTS: Multi-scale emotion transfer, prediction, and control for
  emotional speech synthesis

A Novel Framework to Jointly Compress and Index Remote Sensing Images
  for Efficient Content-Based Retrieval

Black-box Error Diagnosis in Deep Neural Networks for Computer Vision: a
  Survey of Tools

Matrix Reordering for Noisy Disordered Matrices: Optimality and
  Computationally Efficient Algorithms

SigGAN : Adversarial Model for Learning Signed Relationships in Networks

Convolutional Neural Networks for Spherical Signal Processing via
  Spherical Haar Tight Framelets

FourierNet: Shape-Preserving Network for Henle's Fiber Layer
  Segmentation in Optical Coherence Tomography Images

Towards deep observation: A systematic survey on artificial intelligence
  techniques to monitor fetus via Ultrasound Images

On Training Targets and Activation Functions for Deep Representation
  Learning in Text-Dependent Speaker Verification

Homogenization of Existing Inertial-Based Datasets to Support Human

Improving Performance of Semantic Segmentation CycleGANs by Noise
  Injection into the Latent Segmentation Space

Deep Learning-based Quality Assessment of Clinical Protocol Adherence in
  Fetal Ultrasound Dating Scans

NSGZero: Efficiently Learning Non-Exploitable Policy in Large-Scale
  Network Security Games with Neural Monte Carlo Tree Search

Tk-merge: Computationally Efficient Robust Clustering Under General

Dual Perceptual Loss for Single Image Super-Resolution Using ESRGAN

Distortion-Aware Brushing for Interactive Cluster Analysis in

Self-Supervised Anomaly Detection by Self-Distillation and Negative
  Sampling

RestoreFormer: High-Quality Blind Face Restoration from Undegraded
  Key-Value Pairs

Few-shot image segmentation for cross-institution male pelvic organs
  using registration-assisted prototypical learning

Disentangled Latent Transformer for Interpretable Monocular Height

Probabilistic Alternatives to the Gower Distance: A Note on Deodata

Summarising and Comparing Agent Dynamics with Contrastive Spatiotemporal

H&E-adversarial network: a convolutional neural network to learn
  stain-invariant features through Hematoxylin & Eosin regression

Landscape of Neural Architecture Search across sensors: how much do they
  differ ?

Language Model-Based Paired Variational Autoencoders for Robotic

Alleviating Cold-start Problem in CTR Prediction with A Variational
  Embedding Learning Framework

Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression

A Deep Convolutional Neural Networks Based Multi-Task Ensemble Model for
  Aspect and Polarity Classification in Persian Reviews

Physics-constrained machine learning for thermal turbulence modelling at
  low Prandtl numbers

Parameterized Convex Universal Approximators for Decision-Making
  Problems

Transfer Learning in Quantum Parametric Classifiers: An
  Information-Theoretic Generalization Analysis

Development of a resource-efficient FPGA-based neural network regression
  model for the ATLAS muon trigger upgrades

Railway Operation Rescheduling System via Dynamic Simulation and

Continual Transformers: Redundancy-Free Attention for Online Inference

Learning-based multiplexed transmission of scattered twisted light
  through a kilometer-scale standard multimode fiber

Optimisation of Structured Neural Controller Based on Continuous-Time
  Policy Gradient

Segmentation of the Carotid Lumen and Vessel Wall using Deep Learning
  and Location Priors

GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement
  Learning

A Strengthened Branch and Bound Algorithm for the Maximum Common
  (Connected) Subgraph Problem

Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers
  Are?

Improving Clinical Diagnosis Performance with Automated X-ray Scan
  Quality Enhancement Algorithms

Clustering-based Joint Channel Estimation and Signal Detection for NOMA

EFMVFL: An Efficient and Flexible Multi-party Vertical Federated
  Learning without a Third Party

MT-GBM: A Multi-Task Gradient Boosting Machine with Shared Decision
  Trees

Targeted Optimal Treatment Regime Learning Using Summary Statistics

Interactive Contrastive Learning for Self-supervised Entity Alignment

Unintended Bias in Language Model-driven Conversational Recommendation

Face Detection in Extreme Conditions: A Machine-learning Approach

An Improved Reinforcement Learning Algorithm for Learning to Branch

VELTAIR: Towards High-Performance Multi-tenant Deep Learning Services
  via Adaptive Compilation and Scheduling

Deep convolutional neural network for shape optimization using level-set
  approach

SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph
  Reasoning

Balancing Performance and Energy Consumption of Bagging Ensembles for
  the Classification of Data Streams in Edge Computing

Machine Learning Enhances Algorithms for Quantifying Non-Equilibrium
  Dynamics in Correlation Spectroscopy Experiments to Reach Frame-Rate-Limited
  Time Resolution

SunCast: Solar Irradiance Nowcasting from Geosynchronous Satellite Data

On Well-posedness and Minimax Optimal Rates of Nonparametric Q-function
  Estimation in Off-policy Evaluation

On the Linear Convergence of Extra-Gradient Methods for
  Nonconvex-Nonconcave Minimax Problems

Synthesis and Reconstruction of Fingerprints using Generative

Adaptive Energy Management for Self-Sustainable Wearables in Mobile
  Health

Reconstruction of Incomplete Wildfire Data using Deep Generative Models

Robust Scatterer Number Density Segmentation of Ultrasound Images

On Maximum-a-Posteriori estimation with Plug & Play priors and
  stochastic gradient descent

Solving Inventory Management Problems with Inventory-dynamics-informed

Temporal Relation Extraction with a Graph-Based Deep Biaffine Attention
  Model

Modeling the Repetition-based Recovering of Acoustic and Visual Sources
  with Dendritic Neurons

From Examples to Rules: Neural Guided Rule Synthesis for Information

Towards holistic scene understanding: Semantic segmentation and beyond

DeepCreativity: Measuring Creativity with Deep Learning Techniques

FNETS: Factor-adjusted network estimation and forecasting for
  high-dimensional time series

Doing More with Less: Overcoming Data Scarcity for POI Recommendation
  via Cross-Region Transfer

Adversarial Machine Learning Threat Analysis in Open Radio Access
  Networks

Efficient Training of Transfer Mapping in Physics-Infused Machine
  Learning Models of UAV Acoustic Field

Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI
  Scans using Deep Learning Models?

Developing a data analysis pipeline for automated protein profiling in
  immunology

Neighborhood Region Smoothing Regularization for Finding Flat Minima In

Self-Supervision and Multi-Task Learning: Challenges in Fine-Grained
  COVID-19 Multi-Class Classification from Chest X-rays

A Taxonomy of Information Attributes for Test Case Prioritisation:
  Applicability, Machine Learning

Contrastive Pretraining for Echocardiography Segmentation with Limited
  Data

Fully Convolutional Change Detection Framework with Generative
  Adversarial Network for Unsupervised, Weakly Supervised and Regional
  Supervised Change Detection

A Reliable Reinforcement Learning for Resource Allocation in Uplink
  NOMA-URLLC Networks

Mitigating cold start problems in drug-target affinity prediction with
  interaction knowledge transferring

Feedforward Quantum Control and Coherence Protection of Single Electron
  Spin in Diamond using Deep Learning

GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation

Computer Simulation-Based Learning: Student Self-Efficacy During
  COVID-19 Outbreak

Instant Neural Graphics Primitives with a Multiresolution Hash Encoding

Exposing the Obscured Influence of State-Controlled Media: A Causal
  Estimation of Influence Between Media Outlets Via Quotation Propagation

SNCSE: Contrastive Learning for Unsupervised Sentence Embedding with
  Soft Negative Samples

Discrete Simulation Optimization for Tuning Machine Learning Method
  Hyperparameters

Lightweight Object-level Topological Semantic Mapping and Long-term
  Global Localization based on Graph Matching

Fractional SDE-Net: Generation of Time Series Data with Long-term Memory

Multi-Sparse-Domain Collaborative Recommendation via Enhanced
  Comprehensive Aspect Preference Learning

Sparse Cross-scale Attention Network for Efficient LiDAR Panoptic

Learning from Atypical Behavior: Temporary Interest Aware Recommendation
  Based on Reinforcement Learning

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding
  with Text-to-Text Language Models

Enhancement of Healthcare Data Performance Metrics using Neural Network

Universal Online Learning: an Optimistically Universal Learning Rule

Understanding Political Polarization via Jointly Modeling Users,
  Connections and Multimodal Contents on Heterogeneous Graphs

GradTail: Learning Long-Tailed Data Using Gradient-based Sample
  Weighting

From policy to prediction: Forecasting COVID-19 dynamics under imperfect
  vaccination

Theoretical analysis and computation of the sample Frechet mean for sets
  of large graphs based on spectral information

Addressing the Challenges of Cross-Lingual Hate Speech Detection

Skydiving Technique Analysis from a Control Engineering Perspective:
  Developing a Tool for Aiding Motor Learning

Analysis of Coronavirus Envelope Protein with Cellular Automata (CA)
  Model

Common Phone: A Multilingual Dataset for Robust Acoustic Modelling

Profitable Strategy Design by Using Deep Reinforcement Learning for
  Trades on Cryptocurrency Markets

SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical
  Segmentation on Less Labeled Data

Noncommutative Geometry of Computational Models and Uniformization for
  Framed Quiver Varieties

Robust uncertainty estimates with out-of-distribution pseudo-inputs
  training

StolenEncoder: Stealing Pre-trained Encoders in Self-supervised Learning

A Framework for Pedestrian Sub-classification and Arrival Time
  Prediction at Signalized Intersection Using Preprocessed Lidar Data

Large-Scale Inventory Optimization: A Recurrent-Neural-Networks-Inspired
  Simulation Approach

ConvMixer: Feature Interactive Convolution with Curriculum Learning for
  Small Footprint and Noisy Far-field Keyword Spotting

Smart Parking Space Detection under Hazy conditions using Convolutional
  Neural Networks: A Novel Approach

Understanding High-Temperature Chemical Reactions on Metal Surfaces

Machine Learning to Predict the L-Point Direct Bandgap of Bi1-xSbx
  Nanomaterials

Recent Progress in the CUHK Dysarthric Speech Recognition System

Cooperative Multi-Agent Deep Reinforcement Learning for Reliable
  Surveillance via Autonomous Multi-UAV Control

Parametrization of sunspot groups based on machine learning approach

Quantum estimation, control and learning: opportunities and challenges

Tailor Versatile Multi-modal Learning for Multi-label Emotion

Physical Derivatives: Computing policy gradients by physical
  forward-propagation

Encoding large information structures in linear algebra and statistical
  models

Offline-Online Associated Camera-Aware Proxies for Unsupervised Person

Interpretable and Effective Reinforcement Learning for Attacking against
  Graph-based Rumor Detection

A Critical Analysis of Image-based Camera Pose Estimation Techniques

Weighting and Pruning based Ensemble Deep Random Vector Functional Link
  Network for Tabular Data Classification

Finding Label and Model Errors in Perception Data With Learned
  Observation Assertions

"It's A Blessing and A Curse": Unpacking Creators' Practices with
  Non-Fungible Tokens (NFTs) and Their Communities

A Novel Multi-Task Learning Method for Symbolic Music Emotion

Semantic decoupled representation learning for remote sensing image
  change detection

Explainability Tools Enabling Deep Learning in Future In-Situ Real-Time
  Planetary Explorations

Automated causal inference in application to randomized controlled
  clinical trials

Asymmetric Hash Code Learning for Remote Sensing Image Retrieval

Mixed Diagnostics for Longitudinal Properties of Electron Bunches in a
  Free-Electron Laser

A deep learning energy method for hyperelasticity and viscoelasticity

Variance-Reduced Heterogeneous Federated Learning via Stratified Client
  Selection

Big Data Analytics for Network Level Short-Term Travel Time Prediction
  with Hierarchical LSTM and Attention

A Neural Network Model of a Quasi-Periodic Elliptically Polarizing
  Undulator in Universal Mode

Parameter Identification and Motion Control for Articulated Rigid Body
  Robots Using Differentiable Position-based Dynamics

Moses: Efficient Exploitation of Cross-device Transferable Features for
  Tensor Program Optimization

Concise Logarithmic Loss Function for Robust Training of Anomaly

Infrared tip-tilt sensing: on-sky experience, lessons learned and
  unsolved problems

Predicting Research Trends in Artificial Intelligence with Gradient
  Boosting Decision Trees and Time-aware Graph Neural Networks

Real-World Graph Convolution Networks (RW-GCNs) for Action Recognition
  in Smart Video Surveillance

Wrapped Classifier with Dummy Teacher for training physics-based
  classifier at unlabeled radar data

Fast and Flexible Analysis of Direct Dark Matter Search Data with

Learning Hierarchical Graph Representation for Image Manipulation
  Detection

IBAC: An Intelligent Dynamic Bandwidth Channel Access Avoiding Outside
  Warning Range Problem

Learning Temporally and Semantically Consistent Unpaired Video-to-video
  Translation Through Pseudo-Supervision From Synthetic Optical Flow

Global stability of SIR model with heterogeneous transmission rate
  modeled by the Preisach operator

Deep Reinforcement Learning for Shared Autonomous Vehicles (SAV) Fleet

Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast
  Training and Evaluation of Neural ODEs

Wide Area Network Intelligence with Application to Multimedia Service

Cost-Effective Training in Low-Resource Neural Machine Translation

An efficient aggregation method for the symbolic representation of
  temporal data

Machine learning techniques to construct detailed phase diagrams for
  skyrmion systems

Active Predictive Coding Networks: A Neural Solution to the Problem of
  Learning Reference Frames and Part-Whole Hierarchies

Reliable Causal Discovery with Improved Exact Search and Weaker

A machine learning-based methodology for pulse classification in
  dual-phase xenon time projection chambers

Sequence-to-Sequence Models for Extracting Information from Registration
  and Legal Documents

CLUE: Contextualised Unified Explainable Learning of User Engagement in
  Video Lectures

Formula graph self-attention network for representation-domain
  independent materials discovery

Real-time Inference with 2D Convolutional Neural Networks on Field
  Programmable Gate Arrays for High-rate Particle Imaging Detectors

Dynamical learning of a photonics quantum-state engineering process

Imputing Missing Observations with Time Sliced Synthetic Minority
  Oversampling Technique

Scientific Machine Learning through Physics-Informed Neural Networks:
  Where we are and What's next

When less is more: Simplifying inputs aids neural network understanding

Smart Magnetic Microrobots Learn to Swim with Deep Reinforcement
  Learning

Determining liquid crystal properties with ordinal networks and machine
  learning

DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to
  Power Next-Generation AI Scale

Transfer-Tuning: Reusing Auto-Schedules for Efficient Tensor Program
  Code Generation

Extreme learning machines for variance-based global sensitivity analysis

Domain Adaptation in LiDAR Semantic Segmentation via Alternating Skip
  Connections and Hybrid Learning

Corrigendum and addendum to: How Populist are Parties? Measuring Degrees
  of Populism in Party Manifestos Using Supervised Machine Learning

3D extinction mapping of the Milky Way using Convolutional Neural
  Networks: Presentation of the method and demonstration in the Carina Arm
  region

Precise Stock Price Prediction for Robust Portfolio Design from Selected
  Sectors of the Indian Stock Market

Investigation of Data Augmentation Techniques for Disordered Speech

Reinforcement Learning in Time-Varying Systems: an Empirical Study

Spectro-Temporal Deep Features for Disordered Speech Assessment and

Utilizing geospatial data for assessing energy security: Mapping small
  solar home systems using unmanned aerial vehicles and deep learning

Compact Graph Structure Learning via Mutual Information Compression

The Dark Side of the Language: Pre-trained Transformers in the DarkNet

Collaborative learning of images and geometrics for predicting
  isocitrate dehydrogenase status of glioma

Waveform Learning for Reduced Out-of-Band Emissions Under a Nonlinear
  Power Amplifier

Determination of building flood risk maps from LiDAR mobile mapping data

Emergence of Machine Language: Towards Symbolic Intelligence with Neural
  Networks

Adaptive Deep PnP Algorithm for Video Snapshot Compressive Imaging

SympOCnet: Solving optimal control problems with applications to
  high-dimensional multi-agent path planning problems

Multi-head Temporal Attention-Augmented Bilinear Network for Financial
  time series prediction

Machine Learning of polymer types from the spectral signature of Raman
  spectroscopy microplastics data

Comparing Model-free and Model-based Algorithms for Offline

A Study of Transducer based End-to-End ASR with ESPnet: Architecture,
  Auxiliary Loss and Decoding Strategies

Eliciting Knowledge from Pretrained Language Models for Prototypical
  Prompt Verbalizer

CyberSpec: Intelligent Behavioral Fingerprinting to Detect Attacks on
  Crowdsensing Spectrum Sensors

Progressively Optimized Bi-Granular Document Representation for Scalable
  Embedding Based Retrieval

Systematic analysis reveals key microRNAs as diagnostic and prognostic
  factors in progressive stages of lung cancer

The Implicit Regularization of Momentum Gradient Descent with Early
  Stopping

Deep Learning for Agile Effort Estimation Have We Solved the Problem
  Yet?

Synthesising Electronic Health Records: Cystic Fibrosis Patient Group

Reinforcement Learning to Solve NP-hard Problems: an Application to the
  CVRP

Predicting the redshift of gamma-ray loud AGNs using Supervised Machine
  Learning: Part 2

A New Deep Hybrid Boosted and Ensemble Learning-based Brain Tumor
  Analysis using MRI

Artificial Intelligence in Software Testing : Impact, Problems,
  Challenges and Prospect

Deep artificial neural network for prediction of atrial fibrillation
  through the analysis of 12-leads standard ECG

Polarity and Subjectivity Detection with Multitask Learning and BERT
  Embedding

AWSnet: An Auto-weighted Supervision Attention Network for Myocardial
  Scar and Edema Segmentation in Multi-sequence Cardiac Magnetic Resonance
  Images

Machine Learning for Multi-Output Regression: When should a holistic
  multivariate approach be preferred over separate univariate ones?

IDEA: Interpretable Dynamic Ensemble Architecture for Time Series

TCR-GAN: Predicting tropical cyclone passive microwave rainfall using
  infrared imagery via generative adversarial networks

Attention over Self-attention:Intention-aware Re-ranking with Dynamic
  Transformer Encoders for Recommendation

The Lokahi Prototype: Toward the automatic Extraction of Entity
  Relationship Models from Text

Security Orchestration, Automation, and Response Engine for Deployment
  of Behavioural Honeypots

CommonsenseQA 2.0: Exposing the Limits of AI through Gamification

Unsupervised Temporal Video Grounding with Deep Semantic Clustering

$\ell_1$-norm constrained multi-block sparse canonical correlation
  analysis via proximal gradient descent

Demystifying Swarm Learning: A New Paradigm of Blockchain-based
  Decentralized Federated Learning

Boundary-aware Self-supervised Learning for Video Scene Segmentation

Eikonal depth: an optimal control approach to statistical depths

DapStep: Deep Assignee Prediction for Stack Trace Error rePresentation

A Method for Controlling Extrapolation when Visualizing and Optimizing
  the Prediction Profiles of Statistical and Machine Learning Models

Contextual Bandits for Advertising Campaigns: A Diffusion-Model
  Independent Approach (Extended Version)

Examining and Mitigating the Impact of Crossbar Non-idealities for
  Accurate Implementation of Sparse Deep Neural Networks

Learning-Based MIMO Channel Estimation under Spectrum Efficient Pilot
  Allocation and Feedback

Learning Enhancement of CNNs via Separation Index Maximizing at the
  First Convolutional Layer

The Fairness Field Guide: Perspectives from Social and Formal Sciences

How I learned to stop worrying and love the curse of dimensionality: an
  appraisal of cluster validation in high-dimensional spaces

Probabilistic design of optimal sequential decision-making algorithms in
  learning and control

Reproducible, incremental representation learning with Rosetta VAE

An Intelligent System for Multi-topic Social Spam Detection in
  Microblogging

Aitchison's Compositional Data Analysis 40 Years On: A Reappraisal

`Next Generation' Reservoir Computing: an Empirical Data-Driven
  Expression of Dynamical Equations in Time-Stepping Form

Online Slice Reconfiguration for End-to-End QoE in 6G Applications

Achieving AI-enabled Robust End-to-End Quality of Experience over Radio
  Access Networks

Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain,
  Active and Continual Few-Shot Learning

The curse of overparametrization in adversarial training: Precise
  analysis of robust generalization for random features regression

On-shell Correlators and Color-Kinematics Duality in Curved Symmetric
  Spacetimes

Generalized Kernel Ridge Regression for Long Term Causal Inference:
  Treatment Effects, Dose Responses, and Counterfactual Distributions

Discovering Governing Equations from Partial Measurements with Deep
  Delay Autoencoders

STEdge: Self-training Edge Detection with Multi-layer Teaching and

Pushing the limits of self-supervised ResNets: Can we outperform
  supervised learning without labels on ImageNet?

An adaptable cognitive microcontroller node for fitness activity

Improved Multi-objective Data Stream Clustering with Time and Memory

Black-box Safety Analysis and Retraining of DNNs based on Feature
  Extraction and Clustering

Use of augmented and virtual reality tools in a general secondary
  education institution in the context of blended learning

Feature-rich multiplex lexical networks reveal mental strategies of
  early language learning

A robust kernel machine regression towards biomarker selection in
  multi-omics datasets of osteoporosis for drug discovery

Flood Prediction and Analysis on the Relevance of Features using
  Explainable Artificial Intelligence

Spatiotemporal Clustering with Neyman-Scott Processes via Connections to
  Bayesian Nonparametric Mixture Models

Multi-task longitudinal forecasting with missing values on Alzheimer's
  Disease

Criticality-Based Varying Step-Number Algorithm for Reinforcement
  Learning

GPU-accelerated partially linear multiuser detection for 5G and beyond
  URLLC systems

Self-semantic contour adaptation for cross modality brain tumor

Towards Automated Error Analysis: Learning to Characterize Errors

Fish sounds: towards the evaluation of marine acoustic biodiversity
  through data-driven audio source separation

Upward Lightning at the Gaisberg Tower: Initiation Mechanism and Flash
  Type and the Atmospheric Influence

Multi-granularity Association Learning Framework for on-the-fly
  Fine-Grained Sketch-based Image Retrieval

Evaluation of Four Black-box Adversarial Attacks and Some
  Query-efficient Improvement Analysis

Data-Driven Modeling and Prediction of Non-Linearizable Dynamics via
  Spectral Submanifolds

REST: Debiased Social Recommendation via Reconstructing Exposure
  Strategies

Neuron-Specific Dropout: A Deterministic Regularization Technique to
  Prevent Neural Networks from Overfitting & Reduce Dependence on Large
  Training Samples

Learning Semantic Abstraction of Shape via 3D Region of Interest

Improving VAE based molecular representations for compound property

Technical Report for ICCV 2021 Challenge SSLAD-Track3B: Transformers Are
  Better Continual Learners

Flexible Style Image Super-Resolution using Conditional Objective

Solving Dynamic Graph Problems with Multi-Attention Deep Reinforcement
  Learning

Towards a Reference Software Architecture for Human-AI Teaming in Smart
  Manufacturing

Weakly Supervised Scene Text Detection using Deep Reinforcement Learning

MetaDance: Few-shot Dancing Video Retargeting via Temporal-aware

Multi-task Pre-training Language Model for Semantic Network Completion

SnapshotNet: Self-supervised Feature Learning for Point Cloud Data
  Segmentation Using Minimal Labeled Data

Knowledge Graph Augmented Network Towards Multiview Representation
  Learning for Aspect-based Sentiment Analysis

Experimental Design Networks: A Paradigm for Serving Heterogeneous
  Learners under Networking Constraints

Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series

S$^2$FPR: Crowd Counting via Self-Supervised Coarse to Fine Feature
  Pyramid Ranking

Towards a trustworthy, secure and reliable enclave for machine learning
  in a hospital setting: The Essen Medical Computing Platform (EMCP)

Direct Mutation and Crossover in Genetic Algorithms Applied to
  Reinforcement Learning Tasks

Recursive Least Squares for Training and Pruning Convolutional Neural
  Networks

Unsupervised Domain Adaptation for Cross-Modality Retinal Vessel
  Segmentation via Disentangling Representation Style Transfer and
  Collaborative Consistency Learning

Conditional Variational Autoencoder with Balanced Pre-training for

Active Learning-Based Multistage Sequential Decision-Making Model with
  Application on Common Bile Duct Stone Evaluation

Non-Stationary Representation Learning in Sequential Linear Bandits

CFNet: Learning Correlation Functions for One-Stage Panoptic

EMT-NET: Efficient multitask network for computer-aided diagnosis of
  breast cancer

Forecast-based Multi-aspect Framework for Multivariate Time-series

A Non-Classical Parameterization for Density Estimation Using Sample
  Moments

Accurate identification of bacteriophages from metagenomic data using

A Survey on Masked Facial Detection Methods and Datasets for Fighting
  Against COVID-19

Unlocking large-scale crop field delineation in smallholder farming
  systems with transfer learning and weak supervision

MAg: a simple learning-based patient-level aggregation method for
  detecting microsatellite instability from whole-slide images

Collision Detection: An Improved Deep Learning Approach Using SENet and
  ResNext

Roadside Lidar Vehicle Detection and Tracking Using Range And Intensity
  Background Subtraction

Spatial-Temporal Map Vehicle Trajectory Detection Using Dynamic Mode
  Decomposition and Res-UNet+ Neural Networks

Largest Eigenvalues of the Conjugate Kernel of Single-Layered Neural
  Networks

An Overview of Uncertainty Quantification Methods for Infinite Neural
  Networks

Implicit Bias of MSE Gradient Optimization in Underparameterized Neural
  Networks

Security for Machine Learning-based Software Systems: a survey of
  threats, practices and challenges

Adversarially Robust Classification by Conditional Generative Model
  Inversion

Physics-Informed Deep Learning for Solving Phonon Boltzmann Transport
  Equation with Large Temperature Non-Equilibrium

Surrogate Neural Network Model for Sensitivity Analysis and Uncertainty
  Quantification of the Mechanical Behavior in the Optical Lens-Barrel Assembly

Local2Global: A distributed approach for scaling representation learning
  on graphs

Development of SiGe Indentation Process Control for Gate-All-Around FET
  Technology Enablement

Partial-Attribution Instance Segmentation for Astronomical Source
  Detection and Deblending

Deep Learning on Multimodal Sensor Data at the Wireless Edge for
  Vehicular Network

When Machine Learning Meets Spectrum Sharing Security: Methodologies and

UniFormer: Unified Transformer for Efficient Spatiotemporal

How Can Graph Neural Networks Help Document Retrieval: A Case Study on
  CORD19 with Concept Map Generation

Proceedings of the 4th Workshop on Online Recommender Systems and User
  Modeling -- ORSUM 2021

Deep Learning-based Link Configuration for Radar-aided Multiuser mmWave
  Vehicle-to-Infrastructure Communication

Multi-echelon Supply Chains with Uncertain Seasonal Demands and Lead
  Times Using Deep Reinforcement Learning

Agent-Temporal Attention for Reward Redistribution in Episodic

Detection of Increased Time Intervals of Anti-Vaccine Tweets for
  COVID-19 Vaccine with BERT Model

GraphVAMPNet, using graph neural networks and variational approach to
  markov processes for dynamical modeling of biomolecules

ECONet: Efficient Convolutional Online Likelihood Network for
  Scribble-based Interactive Segmentation

Get your Foes Fooled: Proximal Gradient Split Learning for Defense
  against Model Inversion Attacks on IoMT data

ImageMech: From image to particle spring network for mechanical
  characterization

Federated AirNet: Hybrid Digital-Analog Neural Network Transmission for

On generalization bounds for deep networks based on loss surface
  implicit regularization

Eigenvalue Distribution of Large Random Matrices Arising in Deep Neural
  Networks: Orthogonal Case

Explainable AI Framework for COVID-19 Prediction in Different Provinces
  of India

Early Diagnosis of Parkinsons Disease by Analyzing Magnetic Resonance
  Imaging Brain Scans and Patient Characteristics

Fast and precise model calculation for KATRIN using a neural network

Efficient Hierarchical Storage Management Framework Empowered by

Data augmentation through multivariate scenario forecasting in Data
  Centers using Generative Adversarial Networks

Automatic Labeling to Generate Training Data for Online LiDAR-based
  Moving Object Segmentation

SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point
  Clouds

Interpretable learning of voltage for electrode design of multivalent
  metal-ion batteries

Generative time series models using Neural ODE in Variational

ECAS-ML: Edge Computing Assisted Adaptation Scheme with Machine Learning
  for HTTP Adaptive Streaming

Smoothness and continuity of cost functionals for ECG mismatch

Learning to Identify Top Elo Ratings: A Dueling Bandits Approach

Optimal Best Arm Identification in Two-Armed Bandits with a Fixed Budget
  under a Small Gap

SLISEMAP: Supervised dimensionality reduction through local explanations

Machine-learning-aided Massive Hybrid Analog and Digital MIMO DOA
  Estimation for Future Wireless Networks

Intra-domain and cross-domain transfer learning for time series data --
  How transferable are the features?

Real-Time Style Modelling of Human Locomotion via Feature-Wise
  Transformations and Local Motion Phases

Multi-task Joint Strategies of Self-supervised Representation Learning
  on Biomedical Networks for Drug Discovery

Constraint Learning to Define Trust Regions in Predictive-Model Embedded

Optimizing Prediction of MGMT Promoter Methylation from MRI Scans using

Toddler-Guidance Learning: Impacts of Critical Period on Multimodal AI
  Agents

RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems

Functional Data-Driven Framework for Fast Forecasting of Electrode
  Slurry Rheology Simulated by Molecular Dynamics

Estimating the Photometric Redshifts of Galaxies and QSOs Using
  Regression Techniques in Machine Learning

OCSampler: Compressing Videos to One Clip with Single-step Sampling

Maximizing Self-supervision from Thermal Image for Effective
  Self-supervised Learning of Depth and Ego-motion

SCSNet: An Efficient Paradigm for Learning Simultaneously Image
  Colorization and Super-Resolution

Constrained In-network Computing with Low Congestion in Datacenter
  Networks

An Efficient and Adaptive Granular-ball Generation Method in
  Classification Problem

Physics-guided Learning-based Adaptive Control on the SE(3) Manifold

NeuraHealth: An Automated Screening Pipeline to Detect Undiagnosed
  Cognitive Impairment in Electronic Health Records with Deep Learning and

Fast and accurate waveform modeling of long-haul multi-channel optical
  fiber transmission using a hybrid model-data driven scheme

Gridiron: A Technique for Augmenting Cloud Workloads with Network
  Bandwidth Requirements

Knee Cartilage Defect Assessment by Graph Representation and Surface

Adaptive Worker Grouping For Communication-Efficient and
  Straggler-Tolerant Distributed SGD

Predicting Terrorist Attacks in the United States using Localized News
  Data

Evolutionary Action Selection for Gradient-based Policy Learning

Dynamical Audio-Visual Navigation: Catching Unheard Moving Sound Sources
  in Unmapped 3D Environments

Study of Frequency domain exponential functional link network filters

Insights into cation ordering of double perovskite oxides from machine
  learning and causal relations

Toward Experience-Driven Traffic Management and Orchestration in
  Digital-Twin-Enabled 6G Networks

Two Wrongs Can Make a Right: A Transfer Learning Approach for Chemical
  Discovery with Chemical Accuracy

Automatic Detection and Analysis of Technical Debts in Peer-Review
  Documentation of R Packages

The Poisson Multinomial Distribution and Its Applications in Voting
  Theory, Ecological Inference, and Machine Learning

SmartDet: Context-Aware Dynamic Control of Edge Task Offloading for
  Mobile Object Detection

Leveraging Unlabeled Data to Predict Out-of-Distribution Performance

Benchmarking Deep Reinforcement Learning Algorithms for Vision-based
  Robotics

MDPose: Human Skeletal Motion Reconstruction Using WiFi Micro-Doppler

Fighting Money Laundering with Statistics and Machine Learning: An
  Introduction and Review

The Turing Trap: The Promise & Peril of Human-Like Artificial

Neural Capacitance: A New Perspective of Neural Network Selection via
  Edge Dynamics

HyperTransformer: Model Generation for Supervised and Semi-Supervised

Learning Robust Policies for Generalized Debris Capture with an
  Automated Tether-Net System

Spectrum Surveying: Active Radio Map Estimation with Autonomous UAVs

In Defense of the Unitary Scalarization for Deep Multi-Task Learning

Learning to Denoise Raw Mobile UI Layouts for Improving Datasets at
  Scale

Systematic Literature Review: Quantum Machine Learning and its

ValueNetQP: Learned one-step optimal control for legged locomotion

Data transformation based optimized customer churn prediction model for
  the telecommunication industry

Application of Common Spatial Patterns in Gravitational Waves Detection

Automatic learning of hydrogen-bond fixes in an AMBER RNA force field

State Estimation in Electric Power Systems Leveraging Graph Neural
  Networks

Towards Lightweight Neural Animation : Exploration of Neural Network
  Pruning in Mixture of Experts-based Animation Models

PEPit: computer-assisted worst-case analyses of first-order optimization
  methods in Python

DDG-DA: Data Distribution Generation for Predictable Concept Drift

Representing Videos as Discriminative Sub-graphs for Action Recognition

Uni-EDEN: Universal Encoder-Decoder Network by Multi-Granular

Boosting Video Representation Learning with Multi-Faceted Integration

Condensing a Sequence to One Informative Frame for Video Recognition

Feature Space Hijacking Attacks against Differentially Private Split
  Learning

A Graph-based Methodology for the Sensorless Estimation of Road Traffic
  Profiles

Image quality measurements and denoising using Fourier Ring Correlations

Demystifying the Vulnerability Propagation and Its Evolution via
  Dependency Trees in the NPM Ecosystem

On the Efficacy of Co-Attention Transformer Layers in Visual Question
  Answering

Exploring super-additivity of coherent information of noisy quantum
  channels through Genetic algorithms

Multi-granularity Relabeled Under-sampling Algorithm for Imbalanced Data

Adherence Forecasting for Guided Internet-Delivered Cognitive Behavioral
  Therapy: A Minimally Data-Sensitive Approach

Active Reinforcement Learning -- A Roadmap Towards Curious Classifier
  Systems for Self-Adaptation

Feature Extraction Framework based on Contrastive Learning with Adaptive
  Positive and Negative Samples

Seizure prediction with long-term iEEG recordings: What can we learn
  from data nonstationarity?

Sentiment Analysis with Deep Learning Models: A Comparative Study on a
  Decade of Sinhala Language Facebook Data

Automated Reinforcement Learning (AutoRL): A Survey and Open Problems

pymdp: A Python library for active inference in discrete state spaces

Heuristic Search for Rank Aggregation with Application to Label Ranking

A Saliency based Feature Fusion Model for EEG Emotion Estimation

Learning to Enhance or Not: Neural Network-Based Switching of Enhanced
  and Observed Signals for Overlapping Speech Recognition

Combining Learning-based Locomotion Policy with Model-based Manipulation
  for Legged Mobile Manipulators

Dictionary Learning with Uniform Sparse Representations for Anomaly
  Detection

Deep Learning-Aided 6G Wireless Networks: A Comprehensive Survey of
  Revolutionary PHY Architectures

End-To-End Optimization of LiDAR Beam Configuration for 3D Object
  Detection and Localization

On Exploring Pose Estimation as an Auxiliary Learning Task for
  Visible-Infrared Person Re-identification

The GINCO Training Dataset for Web Genre Identification of Documents Out
  in the Wild

DANNTe: a case study of a turbo-machinery sensor virtualization under
  domain shift

Turkish Sentiment Analysis Using Machine Learning Methods: Application
  on Online Food Order Site Reviews

Target Chase, Wall Building, and Fire Fighting: Autonomous UAVs of Team
  NimbRo at MBZIRC 2020

Reward Relabelling for combined Reinforcement and Imitation Learning on
  sparse-reward tasks

Reinforcement of vaccine mandates and public attitudes towards vaccines:
  What can we learn from google search activity ?

Atomistic Simulations for Reactions and Spectroscopy in the Era of
  Machine Learning -- Quo Vadis?

Tackling Multipath and Biased Training Data for IMU-Assisted BLE
  Proximity Detection

Stock Movement Prediction Based on Bi-typed Hybrid-relational Market
  Knowledge Graph via Dual Attention Networks

Bootstrapping Informative Graph Augmentation via A Meta Learning
  Approach

CI-AVSR: A Cantonese Audio-Visual Speech Dataset for In-car Command

Unsupervised Domain Adaptive Person Re-id with Local-enhance and
  Prototype Dictionary Learning

Winning solutions and post-challenge analyses of the ChaLearn AutoDL
  challenge 2019

COROLLA: An Efficient Multi-Modality Fusion Framework with Supervised
  Contrastive Learning for Glaucoma Grading

Efficient Non-Local Contrastive Attention for Image Super-Resolution

Exploiting Hybrid Models of Tensor-Train Networks for Spoken Command

Classification of Beer Bottles using Object Detection and Transfer
  Learning

Partial Model Averaging in Federated Learning: Performance Guarantees
  and Benefits

All-optical ultrafast ReLU function for energy-efficient nanophotonic

Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution
  to BraTS Challenge 2021 Segmentation Task

RFLBAT: A Robust Federated Learning Algorithm against Backdoor Attack

Improved (Related-key) Differential-based Neural Distinguishers for
  SIMON and SIMECK Block Ciphers

CDNNs: The coupled deep neural networks for coupling of the Stokes and
  Darcy-Forchheimer problems

Cracking the Quantum Scaling Limit with Machine Learned Electron
  Densities

Pavlovian Signalling with General Value Functions in Agent-Agent
  Temporal Decision Making

NFANet: A Novel Method for Weakly Supervised Water Extraction from
  High-Resolution Remote Sensing Imagery

FairEdit: Preserving Fairness in Graph Neural Networks through Greedy
  Graph Editing

Homepage2Vec: Language-Agnostic Website Embedding and Classification

Continuous-Time Probabilistic Models for Longitudinal Electronic Health
  Records

Neuroplastic graph attention networks for nuclei segmentation in

Towards Group Robustness in the presence of Partial Group Labels

Learning Fair Node Representations with Graph Counterfactual Fairness

A Likelihood Ratio based Domain Adaptation Method for E2E Models

3D Segmentation with Fully Trainable Gabor Kernels and Pearson's
  Correlation Coefficient

Classification of Astrophysics Journal Articles with Machine Learning to
  Identify Data for NED

Competing Mutual Information Constraints with Stochastic
  Competition-based Activations for Learning Diversified Representations

A Physics-Informed Vector Quantized Autoencoder for Data Compression of
  Turbulent Flow

SpectraNet: Learned Recognition of Artificial Satellites From High
  Contrast Spectroscopic Imagery

Does Interacting Help Users Better Understand the Structure of
  Probabilistic Models?

Cross-Modality Sub-Image Retrieval using Contrastive Multimodal Image

The Effects of Reward Misspecification: Mapping and Mitigating
  Misaligned Models

Investigating internal migration with network analysis and latent space
  representations: An application to Turkey

EP-PQM: Efficient Parametric Probabilistic Quantum Memory with Fewer
  Qubits and Gates

Assisting Unknown Teammates in Unknown Tasks: Ad Hoc Teamwork under

The Dataset Nutrition Label (2nd Gen): Leveraging Context to Mitigate
  Harms in Artificial Intelligence

Head2Toe: Utilizing Intermediate Representations for Better Transfer
  Learning

Permuted and Unlinked Monotone Regression in $\mathbb{R}^d$: an approach
  based on mixture modeling and optimal transport

Polish Natural Language Inference and Factivity -- an Expert-based
  Dataset and Benchmarks

Disentangled Graph Neural Networks for Session-based Recommendation

Learning Population-level Shape Statistics and Anatomy Segmentation From
  Images: A Joint Deep Learning Model

Optimizing Diffusion Rate and Label Reliability in a Graph-Based
  Semi-supervised Classifier

State of the Art of User Simulation approaches for conversational
  information retrieval

Iterative training of robust k-space interpolation networks for improved
  image reconstruction with limited scan specific training samples

Improving ECG Classification Interpretability using Saliency Maps

Fairness Score and Process Standardization: Framework for Fairness
  Certification in Artificial Intelligence Systems

An Example of Privacy and Data Protection Best Practices for Biometrics
  Data Processing in Border Control: Lesson Learned from SMILE

Multiplayer Performative Prediction: Learning in Decision-Dependent
  Games

ExBrainable: An Open-Source GUI for CNN-based EEG Decoding and Model
  Interpretation

Deep Learning in Searching the Spectroscopic Redshift of Quasars

A novel method for error analysis in radiation thermometry with
  application to industrial furnaces

BERT for Sentiment Analysis: Pre-trained and Fine-Tuned Alternatives

Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based
  Diagnostics by Prototypical Relevance Propagation

Morphological Analysis of Japanese Hiragana Sentences using the BI-LSTM
  CRF Model

Continual Learning of Long Topic Sequences in Neural Information
  Retrieval

A Unified Granular-ball Learning Model of Pawlak Rough Set and
  Neighborhood Rough Set

Better Modeling the Programming World with Code Concept Graphs-augmented
  Multi-modal Learning

Cross-view Self-Supervised Learning on Heterogeneous Graph Neural
  Network via Bootstrapping

NeuroPack: An Algorithm-level Python-based Simulator for
  Memristor-empowered Neuro-inspired Computing

DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge
  Base Population

Graph Representation Learning for Multi-Task Settings: a Meta-Learning
  Approach

Evaluation of Neural Networks Defenses and Attacks using NDCG and
  Reciprocal Rank Metrics

Comparison of Representation Learning Techniques for Tracking in time
  resolved 3D Ultrasound

Cross-Modal ASR Post-Processing System for Error Correction and
  Utterance Rejection

Avoiding Overfitting: A Survey on Regularization Methods for

A novel interpretable machine learning system to generate clinical risk
  scores: An application for predicting early mortality or unplanned
  readmission in a retrospective cohort study

Using Online Customer Reviews to Classify, Predict, and Learn about
  Domestic Robot Failures

An application of the splitting-up method for the computation of a
  neural network representation for the solution for the filtering equations

IoTGAN: GAN Powered Camouflage Against Machine Learning Based IoT Device

A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty
  Estimates for AI Models

Artificial Neural Networks Modelling of Wall Pressure Spectra Beneath
  Turbulent Boundary Layers

Motion Primitives-based Navigation Planning using Deep Collision

Vision in adverse weather: Augmentation using CycleGANs with various
  object detectors for robust perception in autonomous racing

GridTuner: Reinvestigate Grid Size Selection for Spatiotemporal
  Prediction Models [Technical Report]

Wind Park Power Prediction: Attention-Based Graph Networks and Deep
  Learning to Capture Wake Losses

Integration of Explainable Artificial Intelligence to Identify
  Significant Landslide Causal Factors for Extreme Gradient Boosting based
  Landslide Susceptibility Mapping with Improved Feature Selection

Local Information Assisted Attention-free Decoder for Audio Captioning

Fully automatic scoring of handwritten descriptive answers in Japanese
  language tests

Why-So-Deep: Towards Boosting Previously Trained Models for Visual Place

Noisy Neonatal Chest Sound Separation for High-Quality Heart and Lung
  Sounds

Differentially Private $\ell_1$-norm Linear Regression with Heavy-tailed
  Data

Differentiable and Scalable Generative Adversarial Models for Data

Predictions of Reynolds and Nusselt numbers in turbulent convection
  using machine-learning models

End-to-end lossless compression of high precision depth maps guided by
  pseudo-residual

Label Relation Graphs Enhanced Hierarchical Residual Network for
  Hierarchical Multi-Granularity Classification

Reproducing BowNet: Learning Representations by Predicting Bags of
  Visual Words

An Adaptive Neuro-Fuzzy System with Integrated Feature Selection and
  Rule Extraction for High-Dimensional Classification Problems

MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining
  Three-Sequence Cardiac Magnetic Resonance Images

Towards Boosting the Accuracy of Non-Latin Scene Text Recognition

Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite
  Variance Assumption

Transfer Learning for Scene Text Recognition in Indian Languages

Swin transformers make strong contextual encoders for VHR image road

Pedestrian Detection: Domain Generalization, CNNs, Transformers and
  Beyond

A Simulation Platform for Multi-tenant Machine Learning Services on
  Thousands of GPUs

Learning Without a Global Clock: Asynchronous Learning in a
  Physics-Driven Learning Network

Communication-Efficient Federated Learning with Acceleration of Global
  Momentum

FedDTG:Federated Data-Free Knowledge Distillation via Three-Player

Collaborative Reflection-Augmented Autoencoder Network for Recommender
  Systems

Identification of chicken egg fertility using SVM classifier based on
  first-order statistical feature extraction

Distributed Cooperative Multi-Agent Reinforcement Learning with Directed
  Coordination Graph

$m^\ast$ of two-dimensional electron gas: a neural canonical
  transformation study

Effective Representation to Capture Collaboration Behaviors between
  Explainer and User

Differentially Private Generative Adversarial Networks with Model
  Inversion

The SEED Internet Emulator and Its Applications in Cybersecurity
  Education

An Interpretable Federated Learning-based Network Intrusion Detection
  Framework

Emotion Intensity and its Control for Emotional Voice Conversion

Systematic biases when using deep neural networks for annotating large
  catalogs of astronomical images

Loss-calibrated expectation propagation for approximate Bayesian

Multimodal Representations Learning Based on Mutual Information
  Maximization and Minimization and Identity Embedding for Multimodal Sentiment
  Analysis

Brain-Inspired Modelling and Decision-making for Human-Like Autonomous
  Driving in Mixed Traffic Environment

Information-Theoretic Bias Reduction via Causal View of Spurious
  Correlation

Application of Machine Learning-Based Pattern Recognition in IoT
  Devices: Review

Optimal and Differentially Private Data Acquisition: Central and Local

Opportunities of Hybrid Model-based Reinforcement Learning for Cell
  Therapy Manufacturing Process Control

Semantic and sentiment analysis of selected Bhagavad Gita translations
  using BERT-based language framework

A Model-Free and Finite-Population-Exact Framework for Randomized
  Experiments Subject to Outcome Misclassification via Integer Programming

Towards the Next 1000 Languages in Multilingual Machine Translation:
  Exploring the Synergy Between Supervised and Self-Supervised Learning

Preserving Domain Private Representation via Mutual Information

A hybrid estimation of distribution algorithm for joint stratification
  and sample allocation

Parallel framework for Dynamic Domain Decomposition of Data Assimilation
  problems a case study on Kalman Filter algorithm

Stability Based Generalization Bounds for Exponential Family Langevin
  Dynamics

Machine learning enabling high-throughput and remote operations at
  large-scale user facilities

An Ensemble of Deep Learning Frameworks Applied For Predicting
  Respiratory Anomalies

COVID-19 Infection Segmentation from Chest CT Images Based on Scale

Lung infection and normal region segmentation from CT volumes of
  COVID-19 cases

Applying Artificial Intelligence for Age Estimation in Digital Forensic
  Investigations

Semantics-driven Attentive Few-shot Learning over Clean and Noisy
  Samples

Discriminant Analysis in Contrasting Dimensions for Polycystic Ovary
  Syndrome Prognostication

Development of a hybrid machine-learning and optimization tool for
  performance-based solar shading design

Meta-Generalization for Multiparty Privacy Learning to Identify Anomaly
  Multimedia Traffic in Graynet

Robust and Resource-Efficient Data-Free Knowledge Distillation by
  Generative Pseudo Replay

Self-Supervised Feature Learning from Partial Point Clouds via Pose

Zero-Shot and Few-Shot Classification of Biomedical Articles in Context
  of the COVID-19 Pandemic

Learning from Synthetic InSAR with Vision Transformers: The case of
  volcanic unrest detection

Privacy-aware Early Detection of COVID-19 through Adversarial Training

MaskMTL: Attribute prediction in masked facial images with deep
  multitask learning

Emotional Speaker Identification using a Novel Capsule Nets Model

Rethink the Evaluation for Attack Strength of Backdoor Attacks in

A multi-scale sampling method for accurate and robust deep neural
  network to predict combustion chemical kinetics

Routing in an Uncertain World: Adaptivity, Efficiency, and Equilibrium

Invariance encoding in sliced-Wasserstein space for image classification
  with limited training data

Auto-Encoder based Co-Training Multi-View Representation Learning

An Adaptive Device-Edge Co-Inference Framework Based on Soft
  Actor-Critic

Robust classification with flexible discriminant analysis in

Box2Seg: Learning Semantics of 3D Point Clouds with Box-Level

Smooth Nested Simulation: Bridging Cubic and Square Root Convergence
  Rates in High Dimensions

RecoMed: A Knowledge-Aware Recommender System for Hypertension
  Medications

Resolving Camera Position for a Practical Application of Gaze Estimation
  on Edge Devices

Adaptive Performance Anomaly Detection for Online Service Systems via
  Pattern Sketching

Fast solver for J2-perturbed Lambert problem using deep neural network

TPAD: Identifying Effective Trajectory Predictions Under the Guidance of
  Trajectory Anomaly Detection Model

Weak Supervision for Affordable Modeling of Electrocardiogram Data

Causal Discovery from Sparse Time-Series Data Using Echo State Network

A Multi-agent Reinforcement Learning Approach for Efficient Client
  Selection in Federated Learning

Frame invariant neural network closures for Kraichnan turbulence

λ-Scaled-Attention: A Novel Fast Attention Mechanism for
  Efficient Modeling of Protein Sequences

Extraction of Product Specifications from the Web -- Going Beyond Tables
  and Lists

Integration of Vehicular Clouds and Autonomous Driving: Survey and
  Future Perspectives

Identifying the differences between 3 dimensional shapes Using a
  Custom-built Smart Glove

Agricultural Plant Cataloging and Establishment of a Data Framework from
  UAV-based Crop Images by Computer Vision

Impact of Stop Sets on Stopping Active Learning for Text Classification

Defocus Deblur Microscopy via feature interactive coarse-to-fine network

Assessing Policy, Loss and Planning Combinations in Reinforcement
  Learning using a New Modular Architecture

LoMar: A Local Defense Against Poisoning Attack on Federated Learning

A Machine Learning Based Algorithm for Joint Improvement of Power
  Control, link adaptation, and Capacity in Beyond 5G Communication systems

Deep Generative Modeling for Volume Reconstruction in Cryo-Electron
  Microscopy

Horizontal DPA Attacks against ECC: Impact of Implemented Field
  Multiplication Formula

PocketNN: Integer-only Training and Inference of Neural Networks via
  Direct Feedback Alignment and Pocket Activations in Pure C++

Learning Sample Importance for Cross-Scenario Video Temporal Grounding

Coherence-Based Distributed Document Representation Learning for
  Scientific Documents

Reconfigurable Intelligent Surface Enabled Spatial Multiplexing with
  Fully Convolutional Network

SGUIE-Net: Semantic Attention Guided Underwater Image Enhancement with
  Multi-Scale Perception

Forecasting Loss of Signal in Optical Networks with Machine Learning

Classification of Hyperspectral Images by Using Spectral Data and Fully
  Connected Neural Network

Precursor-driven machine learning prediction of chaotic extreme pulses
  in Kerr resonators

Hyperspectral Image Denoising Using Non-convex Local Low-rank and Sparse
  Separation with Spatial-Spectral Total Variation Regularization

Multi-View Non-negative Matrix Factorization Discriminant Learning via
  Cross Entropy Loss

Counteracting Dark Web Text-Based CAPTCHA with Generative Adversarial
  Learning for Proactive Cyber Threat Intelligence

RARA: Zero-shot Sim2Real Visual Navigation with Following Foreground
  Cues

Deep Learning for Partial MIMO CSI Feedback by Exploiting Channel
  Temporal Correlation

Age-of-information minimization via opportunistic sampling by an energy
  harvesting source

Neural Architecture Search For LF-MMI Trained Time Delay Neural Networks

Relieving Long-tailed Instance Segmentation via Pairwise Class Balance

A Fair and Efficient Hybrid Federated Learning Framework based on
  XGBoost for Distributed Power Prediction

A Comprehensive Empirical Study of Vision-Language Pre-trained Model for
  Supervised Cross-Modal Retrieval

A Sneak Attack on Segmentation of Medical Images Using Deep Neural
  Network Classifiers

Beyond modeling: NLP Pipeline for efficient environmental policy
  analysis

Global Convergence Analysis of Deep Linear Networks with A One-neuron
  Layer

DeHIN: A Decentralized Framework for Embedding Large-scale Heterogeneous
  Information Networks

Machine Learning-Based Disease Diagnosis:A Bibliometric Analysis

Conditional Approximate Normalizing Flows for Joint Multi-Step
  Probabilistic Forecasting with Application to Electricity Demand

Expert Knowledge-guided Geometric Representation Learning for Magnetic
  Resonance Imaging-based Glioma Grading

Provable Clustering of a Union of Linear Manifolds Using Optimal

VGAER: Graph Neural Network Reconstruction based Community Detection

Pseudo-labelling and Meta Reweighting Learning for Image Aesthetic

Block Walsh-Hadamard Transform Based Binary Layers in Deep Neural
  Networks

The Circumgalactic Medium from the CAMELS Simulations: Forecasting
  Constraints on Feedback Processes from Future Sunyaev-Zeldovich Observations

An Improved Mathematical Model of Sepsis: Modeling, Bifurcation
  Analysis, and Optimal Control Study for Complex Nonlinear Infectious Disease
  System

Applying Machine Learning and AI Explanations to Analyze Vaccine
  Hesitancy

Development of Automatic Tree Counting Software from UAV Based Aerial
  Images With Machine Learning

Unsupervised Machine Learning for Exploratory Data Analysis of Exoplanet
  Transmission Spectra

BottleFit: Learning Compressed Representations in Deep Neural Networks
  for Effective and Efficient Split Computing

Video Coding for Machines: Partial transmission of SIFT features

Predicting sensitive information leakage in IoT applications using
  flows-aware machine learning approach

Detecting CAN Masquerade Attacks with Signal Clustering Similarity

Optimizing the Communication-Accuracy Trade-off in Federated Learning
  with Rate-Distortion Theory

Imagined versus Remembered Stories: Quantifying Differences in Narrative
  Flow

Stay Positive: Knowledge Graph Embedding Without Negative Sampling

Fair and efficient contribution valuation for vertical federated
  learning

A Cross Validation Framework for Signal Denoising with Applications to
  Trend Filtering, Dyadic CART and Beyond

MERLOT Reserve: Neural Script Knowledge through Vision and Language and
  Sound

Embodied Hands: Modeling and Capturing Hands and Bodies Together

United adversarial learning for liver tumor segmentation and detection
  of multi-modality non-contrast MRI

Explainable deep learning for insights in El Nino and river flows

FogAdapt: Self-Supervised Domain Adaptation for Semantic Segmentation of
  Foggy Images

An Incremental Learning Approach to Automatically Recognize Pulmonary
  Diseases from the Multi-vendor Chest Radiographs

Learning with Less Labels in Digital Pathology via Scribble Supervision
  from Natural Images

Neural Network Optimization for Reinforcement Learning Tasks Using
  Sparse Computations

Visual Attention Prediction Improves Performance of Autonomous Drone
  Racing Agents

A Novel Incremental Learning Driven Instance Segmentation Framework to
  Recognize Highly Cluttered Instances of the Contraband Items

On robust risk-based active-learning algorithms for enhanced decision
  support

Probabilistic spatial clustering based on the Self Discipline Learning
  (SDL) model of autonomous learning

AugmentedPCA: A Python Package of Supervised and Adversarial Linear

A Unified Statistical Learning Model for Rankings and Scores with
  Application to Grant Panel Review

Machine-learning-based arc selection for constrained shortest path
  problems in column generation

MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs

Learning Target-aware Representation for Visual Tracking via Informative

Vertex finding in neutrino-nucleus interaction: A Model Architecture
  Comparison

Neighbor2vec: an efficient and effective method for Graph Embedding

A Review of Deep Learning Techniques for Markerless Human Motion on
  Synthetic Datasets

Progressive Video Summarization via Multimodal Self-supervised Learning

Audio representations for deep learning in sound synthesis: A review

Automated Dissipation Control for Turbulence Simulation with Shell
  Models

A sinusoidal signal reconstruction method for the inversion of the
  mel-spectrogram

Similarities and Differences between Machine Learning and Traditional
  Advanced Statistical Modeling in Healthcare Analytics

FlexHDR: Modelling Alignment and Exposure Uncertainties for Flexible HDR
  Imaging

Deep Learnable Strategy Templates for Multi-Issue Bilateral Negotiation

Negative Evidence Matters in Interpretable Histology Image

Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with
  Dynamic Multiplex Relation Learning

Forecasting emissions through Kaya identity using Neural Ordinary

Auto-Weighted Layer Representation Based View Synthesis Distortion
  Estimation for 3-D Video Coding

Automatic Speech Recognition Datasets in Cantonese: A Survey and New
  Dataset

Auction-Based Ex-Post-Payment Incentive Mechanism Design for Horizontal
  Federated Learning with Reputation and Contribution Measurement

Neural calibration of hidden inhomogeneous Markov chains -- Information
  decompression in life insurance

Hyperparameter Search using Genetic Algorithm for Surrogate Modeling of
  Geophysical Flows

Semi-Supervised Clustering with Contrastive Learning for Discovering New
  Intents

Deep Generative Framework for Interactive 3D Terrain Authoring and

Spatio-Temporal Graph Representation Learning for Fraudster Group
  Detection

Cross-Modality Deep Feature Learning for Brain Tumor Segmentation

The Study of Peer Assessment Impact on Group Learning Activities

SaL-Lightning Dataset: Search and Eye Gaze Behavior, Resource
  Interactions and Knowledge Gain during Web Search

iDECODe: In-distribution Equivariance for Conformal Out-of-distribution
  Detection

On the Effectiveness of Sampled Softmax Loss for Item Recommendation

RestoreDet: Degradation Equivariant Representation for Object Detection
  in Low Resolution Images

Stochastic Saddle Point Problems with Decision-Dependent Distributions

A Transfer Learning Pipeline for Educational Resource Discovery with
  Application in Leading Paragraph Generation

A three-dimensional dual-domain deep network for high-pitch and sparse
  helical CT reconstruction

Multi-Behavior Enhanced Recommendation with Cross-Interaction
  Collaborative Relation Modeling

Learning Multi-Tasks with Inconsistent Labels by using Auxiliary Big
  Task

Hyperparameter Selection Methods for Fitted Q-Evaluation with Error
  Guarantee

Local and Global Convergence of General Burer-Monteiro Tensor
  Optimizations

Persistent Homology for Breast Tumor Classification using Mammogram
  Scans

GCWSNet: Generalized Consistent Weighted Sampling for Scalable and
  Accurate Training of Neural Networks

PWM2Vec: An Efficient Embedding Approach for Viral Host Specification
  from Coronavirus Spike Sequences

ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance
  and Domain Generalization in Stereo Matching Networks

A unified software/hardware scalable architecture for brain-inspired
  computing based on self-organizing neural models

CitySurfaces: City-Scale Semantic Segmentation of Sidewalk Materials

Data-Efficient Learning of High-Quality Controls for Kinodynamic
  Planning used in Vehicular Navigation

CausalKG: Causal Knowledge Graph Explainability using interventional and
  counterfactual reasoning

Large-scale protein-protein post-translational modification extraction
  with distant supervision and confidence calibrated BioBERT

Nonlocal Kernel Network (NKN): a Stable and Resolution-Independent Deep

Comprehensive RF Dataset Collection and Release: A Deep Learning-Based
  Device Fingerprinting Use Case

Solving Combinatorial Problems at Particle Colliders Using Machine
  Learning

Density-of-states similarity descriptor for unsupervised learning from
  materials data

Grokking: Generalization Beyond Overfitting on Small Algorithmic
  Datasets

Reliability Estimation of an Advanced Nuclear Fuel using Coupled Active
  Learning, Multifidelity Modeling, and Subset Simulation

Learning Optimal Antenna Tilt Control Policies: A Contextual Linear
  Bandit Approach

Introducing Randomized High Order Fuzzy Cognitive Maps as Reservoir
  Computing Models: A Case Study in Solar Energy and Load Forecasting

Bio-inspired Min-Nets Improve the Performance and Robustness of Deep
  Networks

Classification of Long Sequential Data using Circular Dilated

Deep Learning Assisted End-to-End Synthesis of mm-Wave Passive Networks
  with 3D EM Structures: A Study on A Transformer-Based Matching Network

An Opinion Mining of Text in COVID-19 Issues along with Comparative
  Study in ML, BERT & RNN

The dynamics of representation learning in shallow, non-linear

Deep Learning Based Classification System For Recognizing Local Spinach

An Homogeneous Unbalanced Regularized Optimal Transport model with
  applications to Optimal Transport with Boundary

EM-driven unsupervised learning for efficient motion segmentation

Uncertainty Quantification Techniques for Space Weather Modeling:
  Thermospheric Density Application

Forming Predictive Features of Tweets for Decision-Making Support

Investigation of fast-NMPC and deep learning approach in
  fixed-point-based hierarchical control

A note on efficient minimum cost adjustment sets in causal graphical
  models

Bayesian Regression Approach for Building and Stacking Predictive Models
  in Time Series Analytics

A Light in the Dark: Deep Learning Practices for Industrial Computer
  Vision

A deep learning-based model reduction (DeePMR) method for simplifying
  chemical kinetics

PAEG: Phrase-level Adversarial Example Generation for Neural Machine

Sparsity-based Feature Selection for Anomalous Subgroup Discovery

An exploratory experiment on Hindi, Bengali hate-speech detection and
  transfer learning using neural networks

Skip Vectors for RDF Data: Extraction Based on the Complexity of Feature
  Patterns

SPDL: Blockchain-secured and Privacy-preserving Decentralized Learning

An Abstraction-Refinement Approach to Verifying Convolutional Neural
  Networks

SASA: Semantics-Augmented Set Abstraction for Point-based 3D Object
  Detection

Robust Linear Predictions: Analyses of Uniform Concentration, Fast Rates
  and Model Misspecification

Efficient Global Optimization of Two-layer ReLU Networks: Quadratic-time
  Algorithms and Adversarial Training

Diversity-boosted Generalization-Specialization Balancing for Zero-shot
  Learning

HuSpaCy: an industrial-strength Hungarian natural language processing
  toolkit

Aerial Scene Parsing: From Tile-level Scene Classification to Pixel-wise
  Semantic Labeling

A machine learning-based classification approach for phase diagram

Decompose to Adapt: Cross-domain Object Detection via Feature

Egocentric Deep Multi-Channel Audio-Visual Active Speaker Localization

Bibliometric analysis of topic structure in quantum computation and
  quantum algorithm research

3D Intracranial Aneurysm Classification and Segmentation via
  Unsupervised Dual-branch Learning

Bayesian Optimization Based Trustworthiness Model for Multi-robot
  Bounding Overwatch

Combining Reinforcement Learning and Inverse Reinforcement Learning for
  Asset Allocation Recommendations

CFU Playground: Full-Stack Open-Source Framework for Tiny Machine
  Learning (tinyML) Acceleration on FPGAs

Towards realistic symmetry-based completion of previously unseen point
  clouds

Mixture of basis for interpretable continual learning with distribution
  shifts

On the Real-World Adversarial Robustness of Real-Time Semantic
  Segmentation Models for Autonomous Driving

Novel Information-theoretic Game-theoretical Insights to Broadcasting in
  Internet-of-UAVs

Comprehensive Efficiency Analysis of Machine Learning Algorithms for
  Developing Hardware-Based Cybersecurity Countermeasures

Cyber-Physical-Systems and Secrecy Outage Probability: Revisited

A Theoretically Novel Trade-off for Sparse Secret-key Generation

A Generalized Bootstrap Target for Value-Learning, Efficiently Combining
  Value and Feature Predictions

Planted Dense Subgraphs in Dense Random Graphs Can Be Recovered using
  Graph-based Machine Learning

A Hybrid Quantum-Classical Neural Network Architecture for Binary

Formal Analysis of Art: Proxy Learning of Visual Concepts from Style
  Through Language Models

Hidden Agenda: a Social Deduction Game with Diverse Learned Equilibria

An Evaluation Study of Generative Adversarial Networks for Collaborative
  Filtering

CausalSim: A Causal Inference Framework for Unbiased Trace-Driven

Revisiting Deep Subspace Alignment for Unsupervised Domain Adaptation

Fast and accurate numerical simulations for the study of coronary artery
  bypass grafts by artificial neural network

Formal models of memory based on temporally-varying representations

Automated Scoring of Graphical Open-Ended Responses Using Artificial

Neural network reconstruction of the dense matter equation of state from
  neutron star observables

Communication-Efficient TeraByte-Scale Model Training Framework for
  Online Advertising

Understanding Entropy Coding With Asymmetric Numeral Systems (ANS): a
  Statistician's Perspective

Can biophysical models give insight into the synaptic changes associated
  with addiction?

Learning Audio-Visual Speech Representation by Masked Multimodal Cluster

Clustering versus Statistical Analysis for SCA: when Machine Learning is
  Better

Horizontal SCA Attacks against kP Algorithm Using K-Means and PCA

Deep Structured Neural Networks for Turbulence Closure Modelling

The Effect of Model Compression on Fairness in Facial Expression

An Investigation of "Benford's" Law Divergence and Machine Learning
  Techniques for "Intra-Class" Separability of Fingerprint Images

Dynamic GPU Energy Optimization for Machine Learning Training Workloads

Surface-Aligned Neural Radiance Fields for Controllable 3D Human
  Synthesis

Regret Lower Bounds for Learning Linear Quadratic Gaussian Systems

Using Deep Learning with Large Aggregated Datasets for COVID-19
  Classification from Cough

Blankets, Heat, and Why Free Energy Has Not Illuminated the Workings of
  the Brain

Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation

Percent-level constraints on baryonic feedback with spectral distortion

Systematic assessment of the quality of fit of the stochastic block
  model for empirical networks

Stochastic regularized majorization-minimization with weakly convex and
  multi-convex surrogates

WebSpec: Towards Machine-Checked Analysis of Browser Security Mechanisms

Comparison of biomedical relationship extraction methods and models for
  knowledge graph creation

Convolutional Neural Network-reconstructed velocity for kinetic SZ
  detection

Tackling the Class Imbalance Problem of Deep Learning Based Head and
  Neck Organ Segmentation

Topological characterization of dynamic chiral magnetic textures using

ROOM: Adversarial Machine Learning Attacks Under Real-Time Constraints

Botometer 101: Social bot practicum for computational social scientists

Detection of extragalactic Ultra-Compact Dwarfs and Globular Clusters
  using Explainable AI techniques

FedBalancer: Data and Pace Control for Efficient Federated Learning on
  Heterogeneous Clients

Self-Supervised Beat Tracking in Musical Signals with Polyphonic

Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative
  Adversarial Network with Graph Representation Learning

Using Machine Learning for Anomaly Detection on a System-on-Chip under
  Gamma Radiation

Learning True Rate-Distortion-Optimization for End-To-End Image

Reinforcing Cybersecurity Hands-on Training With Adaptive Learning

PIEEG: Turn a Raspberry Pi into a Brain-Computer-Interface to measure
  biosignals

Standard Vs Uniform Binary Search and Their Variants in Learned Static
  Indexing: The Case of the Searching on Sorted Data Benchmarking Software
  Platform

SPT-Code: Sequence-to-Sequence Pre-Training for Learning Source Code

Reinforcement Online Learning to Rank with Unbiased Reward Shaping

Supervised Permutation Invariant Networks for Solving the CVRP with
  Bounded Fleet Size

Formant Tracking Using Quasi-Closed Phase Forward-Backward Linear
  Prediction Analysis and Deep Neural Networks

NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task
  Financial Forecasting

Towards ML/AI-based Prediction of Mobile Service Usage in
  Next-Generation Networks

The long road to calibrated prediction uncertainty in computational
  chemistry

Rethinking Depth Estimation for Multi-View Stereo: A Unified

Search for binary black hole mergers in the third observing run of
  Advanced LIGO-Virgo using coherent WaveBurst enhanced with machine learning

Exemplar-free Class Incremental Learning via Discriminative and
  Comparable One-class Classifiers

Sign Language Recognition System using TensorFlow Object Detection API

Gradient-based Bit Encoding Optimization for Noise-Robust Binary
  Memristive Crossbar

Challenges of Artificial Intelligence -- From Machine Learning and
  Computer Vision to Emotional Intelligence

Including STDP to eligibility propagation in multi-layer recurrent

A Review of Mathematical and Computational Methods in Cancer Dynamics

Cross-SRN: Structure-Preserving Super-Resolution Network with Cross

Offsetting Unequal Competition through RL-assisted Incentive Schemes

Deep Learning-Based Sparse Whole-Slide Image Analysis for the Diagnosis
  of Gastric Intestinal Metaplasia

Neural KEM: A Kernel Method with Deep Coefficient Prior for PET Image

Dynamic Coded Distributed Convolution for UAV-based Networked Airborne
  Computing

Attention-based Dual Supervised Decoder for RGBD Semantic Segmentation

Advancing 3D Medical Image Analysis with Variable Dimension Transform
  based Supervised 3D Pre-training

Eye Know You Too: A DenseNet Architecture for End-to-end Eye Movement
  Biometrics

Hyperparameter-free Continuous Learning for Domain Classification in
  Natural Language Understanding

Problem-dependent attention and effort in neural networks with an
  application to image resolution

Towards Understanding Quality Challenges of the Federated Learning: A
  First Look from the Lens of Robustness

Mining Adverse Drug Reactions from Unstructured Mediums at Scale

Corrupting Data to Remove Deceptive Perturbation: Using Preprocessing
  Method to Improve System Robustness

Improving Spiking Neural Network Accuracy Using Time-based Neurons

Self-Supervised Approach to Addressing Zero-Shot Learning Problem

Sparse-Dyn: Sparse Dynamic Graph Multi-representation Learning via
  Event-based Sparse Temporal Attention Network

Graph Decipher: A transparent dual-attention graph neural network to
  understand the message-passing mechanism for the node classification

Knowledge Informed Machine Learning using a Weibull-based Loss Function

Interatomic machine learning potentials for aluminium: application to
  solidification phenomena

Dual Path Structural Contrastive Embeddings for Learning Novel Objects

LAME: Layout Aware Metadata Extraction Approach for Research Articles

Learning Hierarchical Attention for Weakly-supervised Chest X-Ray
  Abnormality Localization and Diagnosis

Statistical Feature-based Personal Information Detection in Mobile

Revisiting Transformation Invariant Geometric Deep Learning: Are Initial
  Representations All You Need?

Learning multiple regularization parameters for generalized Tikhonov
  regularization using multiple data sets without true data

Individual and Group-wise Classroom Seating Experience: Effects on
  Student Engagement in Different Courses

Robust and Precise Facial Landmark Detection by Self-Calibrated Pose
  Attention Network

Physics Constrained Flow Neural Network for Short-Timescale Predictions
  in Data Communications Networks

Adversarial Attacks against Windows PE Malware Detection: A Survey of
  the State-of-the-Art

Selective Multiple Power Iteration: from Tensor PCA to gradient-based
  exploration of landscapes

A Robust Initialization of Residual Blocks for Effective ResNet Training
  without Batch Normalization

High Throughput Multi-Channel Parallelized Diffraction Convolutional
  Neural Network Accelerator

Safety and Liveness Guarantees through Reach-Avoid Reinforcement
  Learning

Improving the Efficiency of Off-Policy Reinforcement Learning by
  Accounting for Past Decisions

Nonnegative OPLS for Supervised Design of Filter Banks: Application to
  Image and Audio Feature Extraction

A rodent paradigm for studying perceptual decisions under asymmetric
  reward

Algorithmic Probability of Large Datasets and the Simplicity Bubble
  Problem in Machine Learning

Perceptual Evaluation of 360 Audiovisual Quality and Machine Learning

Human Activity Recognition on wrist-worn accelerometers using
  self-supervised neural networks

Rapid Transition to Remote Instruction of Physics Labs During Spring
  2020: Instructor Perspectives

Leveraging Synthetic Data in Object Detection on Unmanned Aerial
  Vehicles

ML4CO: Is GCNN All You Need? Graph Convolutional Neural Networks Produce
  Strong Baselines For Combinatorial Optimization Problems, If Tuned and
  Trained Properly, on Appropriate Data

Regularized Multivariate Analysis Framework for Interpretable
  High-Dimensional Variable Selection

Predicting Breakdown Risk Based on Historical Maintenance Data for Air
  Force Ground Vehicles

Direct Behavior Specification via Constrained Reinforcement Learning

SAMCNet for Spatial-configuration-based Classification: A Summary of
  Results

Maximum Entropy on Erroneous Predictions (MEEP): Improving model
  calibration for medical image segmentation

Person Detection in Collaborative Group Learning Environments Using
  Multiple Representations

ProBF: Learning Probabilistic Safety Certificates with Barrier Functions

Compelling new electrocardiographic markers for automatic diagnosis

Surrogate Likelihoods for Variational Annealed Importance Sampling

Improved 2D Keypoint Detection in Out-of-Balance and Fall Situations --
  combining input rotations and a kinematic model

Simple and near-optimal algorithms for hidden stratification and
  multi-group learning

Recur, Attend or Convolve? On Whether Temporal Modeling Matters for
  Cross-Domain Robustness in Action Recognition

Scaling Open-Vocabulary Image Segmentation with Image-Level Labels

A Unified Analysis Method for Online Optimization in Normed Vector Space

Machine learning nonequilibrium electron forces for adiabatic spin
  dynamics

Domain Adaptation for Simulation-Based Dark Matter Searches Using Strong
  Gravitational Lensing

Hybrid Human-AI Curriculum Development for Personalised Informal
  Learning Environments

Detect & Reject for Transferability of Black-box Adversarial Attacks
  Against Network Intrusion Detection Systems

Improved skin lesion recognition by a Self-Supervised Curricular Deep
  Learning approach

Efficient Data Exchange in Unmanned Aerial Vehicle Networks Utilizing
  Unsupervised Learning-Based Clustering

Machine Learning for Computational Science and Engineering -- a brief
  introduction and some critical questions

Generating Synthetic Mixed-type Longitudinal Electronic Health Records
  for Artificial Intelligent Applications

Evaluating categorical encoding methods on a real credit card fraud
  detection database

Community Detection in Medical Image Datasets: Using Wavelets and
  Spectral Methods

Steady-State Tunable Entanglement Thermal Machine Using Quantum Dots

Catch Me If You GAN: Using Artificial Intelligence for Fake Log

Barely-Supervised Learning: Semi-Supervised Learning with very few
  labeled images

Looking Beyond Corners: Contrastive Learning of Visual Representations
  for Keypoint Detection and Description Extraction

DA-FDFtNet: Dual Attention Fake Detection Fine-tuning Network to Detect
  Various AI-Generated Fake Images

FedLGA: Towards System-Heterogeneity of Federated Learning via Local
  Gradient Approximation

Toward Educator-focused Automated Scoring Systems for Reading and
  Writing

Efficient Multifidelity Likelihood-Free Bayesian Inference with Adaptive
  Computational Resource Allocation

Evaluating the Robustness of Deep Reinforcement Learning for Autonomous
  and Adversarial Policies in a Multi-agent Urban Driving Environment

Adversarial Deep Reinforcement Learning for Improving the Robustness of
  Multi-agent Autonomous Driving Policies

Meta-Learning and Self-Supervised Pretraining for Real World Image

A Stochastic Bregman Primal-Dual Splitting Algorithm for Composite

Using Machine Learning Predictions to Speed-up Dijkstra's Shortest Path
  Algorithm

SOLIS -- The MLOps journey from data acquisition to actionable insights

Few-shot Font Generation with Weakly Supervised Localized

High Dimensional Fluctuations in Liquid Water: Combining Chemical
  Intuition with Unsupervised Learning

Blockchain and Beyond: Understanding Blockchains through Prototypes and
  Public Engagement

FLoBC: A Decentralized Blockchain-Based Federated Learning Framework

Constraining cosmological parameters from N-body simulations with

Deep learning for brain metastasis detection and segmentation in
  longitudinal MRI data

Classifier Data Quality: A Geometric Complexity Based Method for
  Automated Baseline And Insights Generation

Decentralized Task Offloading in Edge Computing: A Multi-User
  Multi-Armed Bandit Approach

Emulation of greenhouse-gas sensitivities using variational autoencoders

Lifting Symmetry Breaking Constraints with Inductive Logic Programming

Neuroevolution deep learning architecture search for estimation of river
  surface elevation from photogrammetric Digital Surface Models

Neural-Symbolic Integration for Interactive Learning and Conceptual
  Grounding

Exploring Inter-frequency Guidance of Image for Lightweight Gaussian
  Denoising

Multiple Choice Questions based Multi-Interest Policy Learning for
  Conversational Recommendation

Robust learning of data anomalies with analytically-solvable entropic
  outlier sparsification

On Asymptotic Linear Convergence of Projected Gradient Descent for
  Constrained Least Squares

Class-aware Sounding Objects Localization via Audiovisual Correspondence

A Label Dependence-aware Sequence Generation Model for Multi-level
  Implicit Discourse Relation Recognition

D-HYPR: Harnessing Neighborhood Modeling and Asymmetry Preservation for
  Digraph Representation Learning

Graph augmented Deep Reinforcement Learning in the GameRLand3D

Energy-Efficient Massive MIMO for Federated Learning: Transmission
  Designs and Resource Allocations

Hybrid Curriculum Learning for Emotion Recognition in Conversation

High-Accuracy RGB-D Face Recognition via Segmentation-Aware Face Depth
  Estimation and Mask-Guided Attention Network

Maximum Entropy Population-Based Training for Zero-Shot Human-AI
  Coordination

Adaptive Contrast for Image Regression in Computer-Aided Disease

Semantics-Recovering Decompilation through Neural Machine Translation

RepBin: Constraint-based Graph Representation Learning for Metagenomic
  Binning

Multi-Centroid Representation Network for Domain Adaptive Person Re-ID

HP-GNN: Generating High Throughput GNN Training Implementation on
  CPU-FPGA Heterogeneous Platform

How Much Space Has Been Explored? Measuring the Chemical Space Covered
  by Databases and Machine-Generated Molecules

Partial recovery and weak consistency in the non-uniform hypergraph
  Stochastic Block Model

Domain Adaptation with Pre-trained Transformers for Query Focused
  Abstractive Text Summarization

Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and
  Precision Space Health

Beyond Low Earth Orbit: Biological Research, Artificial Intelligence,
  and Self-Driving Labs

MECATS: Mixture-of-Experts for Quantile Forecasts of Aggregated Time
  Series

How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial
  Robustness?

A Deep Reinforcement Learning Approach for Solving the Traveling
  Salesman Problem with Drone

Learning Based Model Predictive Control for Quadcopters with Dual

Accelerated Proximal Alternating Gradient-Descent-Ascent for Nonconvex
  Minimax Machine Learning

Deep Reinforcement Learning for Optimal Power Flow with Renewables Using
  Graph Information

A New Theorem Relating the Tangent Secant Theorem to the Golden Ratio

Exploring Credibility Scoring Metrics of Perception Systems for

Joint-training on Symbiosis Networks for Deep Nueral Machine Translation
  models

Self-Distillation Mixup Training for Non-autoregressive Neural Machine

Collaborative adversary nodes learning on the logs of IoT devices in an
  IoT network

Diformer: Directional Transformer for Neural Machine Translation

Convolutional neural network based on transfer learning for breast
  cancer screening

SkipNode: On Alleviating Performance Degradation for Deep Graph

A Convergent ADMM Framework for Efficient Neural Network Training

EyePAD++: A Distillation-based approach for joint Eye Authentication and
  Presentation Attack Detection using Periocular Images

Analytical Modelling of Exoplanet Transit Specroscopy with Dimensional
  Analysis and Symbolic Regression

GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm
  and Accelerator Co-Design

AdaptPose: Cross-Dataset Adaptation for 3D Human Pose Estimation by
  Learnable Motion Generation

Neural Echo State Network using oscillations of gas bubbles in water

Fast and Accurate Prediction of Material Properties with Three-Body
  Tight-Binding Model for the Periodic Table

Nuclear History, Politics, and Futures from (A)toms-to(Z)oom: Design and
  Deployment of a Remote-Learning Special-Topics Course For Nuclear Engineering
  Education

Distribution-aware Margin Calibration for Semantic Segmentation in
  Images

MIA-Former: Efficient and Robust Vision Transformers via Multi-grained
  Input-Adaptation

Teacher-Student Architecture for Mixed Supervised Lung Tumor

Accelerating the theoretical study of Li-polysulphide adsorption on
  single-atom catalysts via machine learning approaches

Noise-injected analog Ising machines enable ultrafast statistical
  sampling and machine learning

Validation and Transparency in AI systems for pharmacovigilance: a case
  study applied to the medical literature monitoring of adverse events

PyTracer: Automatically profiling numerical instabilities in Python

Multiple Imputation via Generative Adversarial Network for
  High-dimensional Blockwise Missing Value Problems

Prediction of mandibular ORN incidence from 3D radiation dose
  distribution maps using deep learning

Sentence Embeddings and High-speed Similarity Search for Fast Computer
  Assisted Annotation of Legal Documents

Do Androids Dream of Electric Fences? Safety-Aware Reinforcement
  Learning with Latent Shielding

On-the-fly Resource-Aware Model Aggregation for Federated Learning in
  Heterogeneous Edge

Towards a Science of Human-AI Decision Making: A Survey of Empirical
  Studies

Doubly-Valid/Doubly-Sharp Sensitivity Analysis for Causal Inference with
  Unmeasured Confounding

Multi-Modality Distillation via Learning the teacher's modality-level
  Gram Matrix

StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation

Zeroth-order Optimization for Composite Problems with Functional

Collaboration is not Evil: A Systematic Look at Security Research for
  Industrial Use

Covert Communications via Adversarial Machine Learning and

Offloading Algorithms for Maximizing Inference Accuracy on Edge Device
  Under a Time Constraint

NN2Poly: A polynomial representation for deep feed-forward artificial

Voice Quality and Pitch Features in Transformer-Based Speech Recognition

Supervised Graph Contrastive Pretraining for Text Classification

Data-Driven Outage Restoration Time Prediction via Transfer Learning
  with Cluster Ensembles

Deep Learning and Earth Observation to Support the Sustainable
  Development Goals

Multigoal-oriented dual-weighted-residual error estimation using deep

Unsupervised quark/gluon jet tagging with Poissonian Mixture Models

Combining Minkowski and Chebyshev: New distance proposal and survey of
  distance metrics using k-nearest neighbours classifier

Watch It Move: Unsupervised Discovery of 3D Joints for Re-Posing of

Transferable End-to-end Room Layout Estimation via Implicit Encoding

Deep Learning Based 3D Point Cloud Regression for Estimating Forest
  Biomass

Regularization from examples via neural networks for parametric inverse
  problems: topology matters

PrimSeq: a deep learning-based pipeline to quantitate rehabilitation
  training

iSegFormer: Interactive Segmentation via Transformers with Application
  to 3D Knee MR Images

Satellite-Based Communications Security: A Survey of Threats, Solutions,

Physics-informed neural network method for modelling beam-wall
  interactions

A Survey on Using Gaze Behaviour for Natural Language Processing

VW-SDK: Efficient Convolutional Weight Mapping Using Variable Windows
  for Processing-In-Memory Architectures

A Pilot Study on Detecting Unfairness in Human Decisions With Machine
  Learning Algorithmic Bias Detection

Dynamic Edge Computing empowered by Reconfigurable Intelligent Surfaces

Estimating economic severity of Air Traffic Flow Management regulations

Tackling System and Statistical Heterogeneity for Federated Learning
  with Adaptive Client Sampling

Value Activation for Bias Alleviation: Generalized-activated Deep Double
  Deterministic Policy Gradients

Discrete fully probabilistic design: a tool to design control policies
  from examples

Contrast and Generation Make BART a Good Dialogue Emotion Recognizer

Accelerating all-atom simulations and gaining mechanistic understanding
  of biophysical systems through State Predictive Information Bottleneck

AutoCTS: Automated Correlated Time Series Forecasting -- Extended
  Version

Self-Supervised Learning based Monaural Speech Enhancement with
  Multi-Task Pre-Training

PONet: Robust 3D Human Pose Estimation via Learning Orientations Only

  Complex-Cycle-Consistent

Adversarial Gradient Driven Exploration for Deep Click-Through Rate

FedPOIRec: Privacy Preserving Federated POI Recommendation with Social
  Influence

Cloud Sphere: A 3D Shape Representation via Progressive Deformation

A General Framework for Machine Learning based Optimization Under

Learning Human Motion Prediction via Stochastic Differential Equations

Toolset for Collecting Shell Commands and Its Application in Hands-on
  Cybersecurity Training

Group Lasso merger for sparse prediction with high-dimensional
  categorical data

Developing and Validating Semi-Markov Occupancy Generative Models: A
  Technical Report

High pressure hydrogen by machine learning and quantum Monte Carlo

Aerial Base Station Positioning and Power Control for Securing
  Communications: A Deep Q-Network Approach

Risk bounds for aggregated shallow neural networks using Gaussian prior

Can We Use Neural Regularization to Solve Depth Super-Resolution?

RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality

Explanation of Machine Learning Models Using Shapley Additive
  Explanation and Application for Real Data in Hospital

An Inference Approach To Question Answering Over Knowledge Graphs

A level-set approach to the control of state-constrained McKean-Vlasov
  equations: application to renewable energy storage and portfolio selection

A Scalable Deep Reinforcement Learning Model for Online Scheduling
  Coflows of Multi-Stage Jobs for High Performance Computing

ANUBIS: A Provenance Graph-Based Framework for Advanced Persistent
  Threat Detection

KGSecConfig: A Knowledge Graph Based Approach for Secured Container
  Orchestrator Configuration

Reputation-based PoS for the Restriction of Illicit Activities on
  Blockchain: Algorand Usecase

Synthetic Data and Simulators for Recommendation Systems: Current State
  and Future Directions

Mining Drifting Data Streams on a Budget: Combining Active Learning with
  Self-Labeling

A Theoretical View of Linear Backpropagation and Its Convergence

fMRI Neurofeedback Learning Patterns are Predictive of Personal and
  Clinical Traits

Efficient Estimation of the Maximal Association between Multiple
  Predictors and a Survival Outcome

Expansion-Squeeze-Excitation Fusion Network for Elderly Activity

Explainable Medical Imaging AI Needs Human-Centered Design: Guidelines
  and Evidence from a Systematic Review

Mapping industrial poultry operations at scale with deep learning and
  aerial imagery

Learned ISTA with Error-based Thresholding for Adaptive Sparse Coding

Hybrid Modeling of Regional COVID-19 Transmission Dynamics in the U.S

Generalized Few-Shot Semantic Segmentation: All You Need is Fine-Tuning

ACGNet: Action Complement Graph Network for Weakly-supervised Temporal

What are Attackers after on IoT Devices? An approach based on a
  multi-phased multi-faceted IoT honeypot ecosystem and data clustering

Differentiated uniformization: A new method for inferring Markov chains
  on combinatorial state spaces including stochastic epidemic models

Efficient method for accelerating line searches using a combined Schur
  complement domain decomposition and Born series expansions in photonic-based
  adjoint optimization

Nonlinear Transform Source-Channel Coding for Semantic Communications

Continuous-Time Video Generation via Learning Motion Dynamics with
  Neural ODE

Crash Data Augmentation Using Conditional Generative Adversarial
  Networks (CGAN) for Improving Safety Performance Functions

Mitigating Barren Plateaus with Transfer-learning-inspired Parameter
  Initializations

General-purpose cooperativeness and altruism in humans: elements of the
  mathematical framework for the Interdependence Hypothesis

Augmented Contrastive Self-Supervised Learning for Audio Invariant

District Cooling System Control for Providing Operating Reserve based on
  Safe Deep Reinforcement Learning

Task-Oriented Image Transmission for Scene Classification in Unmanned
  Aerial Systems

Reinforcement Learning based Sequential Batch-sampling for Bayesian
  Optimal Experimental Design

Structured Semantic Transfer for Multi-Label Recognition with Partial
  Labels

CausalMTA: Eliminating the User Confounding Bias for Causal Multi-touch
  Attribution

Watch Those Words: Video Falsification Detection Using Word-Conditioned
  Facial Motion

Nearly Optimal Policy Optimization with Stable at Any Time Guarantee

Understanding Software Architecture Erosion: A Systematic Mapping Study

Compact Multi-level Sparse Neural Networks with Input Independent
  Dynamic Rerouting

100 GHz Micrometer compact broadband Monolithic ITO Mach Zehnder
  Interferometer Modulator enabling 3500 times higher Packing Density

How Do Developers Search for Architectural Information? An Industrial
  Survey

Provable Hierarchical Lifelong Learning with a Sketch-based Modular

Big Data is not the New Oil: Common Misconceptions about Population Data

State-of-the-Art in Smart Contact Lenses for Human Machine Interaction

Load-balanced Gather-scatter Patterns for Sparse Deep Neural Networks

VELVET: a noVel Ensemble Learning approach to automatically locate
  VulnErable sTatements

Fast Algorithms for Poker Require Modelling it as a Sequential Bayesian
  Game

Surrogate Model for Shallow Water Equations Solvers with Deep Learning

PRONTO: Preamble Overhead Reduction with Neural Networks for Coarse
  Synchronization

Learning Bayesian Networks in the Presence of Structural Side

Translational Concept Embedding for Generalized Compositional Zero-shot
  Learning

Searching for a source without gradients: how good is infotaxis and how
  to beat it

Adaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement
  Learning

CP Decomposition for Tensors via Alternating Least Squares with QR

Encoding Hierarchical Information in Neural Networks helps in
  Subpopulation Shift

Black-Box Testing of Deep Neural Networks through Test Case Diversity

Natural language processing to identify lupus nephritis phenotype in

Surprise-Guided Search for Learning Task Specifications from

Machine learning discovery of new phases in programmable quantum
  simulator snapshots

3D-aware Image Synthesis via Learning Structural and Textural

Consistency and Rate of Convergence of Switched Least Squares System
  Identification for Autonomous Switched Linear Systems

GLIDE: Towards Photorealistic Image Generation and Editing with
  Text-Guided Diffusion Models

More Alike than Different: Quantifying Deviations of Brain Structure and
  Function in Major Depressive Disorder across Neuroimaging Modalities

Learning Physics Properties of Fabrics and Garments with a Physics
  Similarity Neural Network

Design and Characterization of an Optically-Segmented Single Volume
  Scatter Camera Module

Mega-NeRF: Scalable Construction of Large-Scale NeRFs for Virtual
  Fly-Throughs

Mind-proofing Your Phone: Navigating the Digital Minefield with
  GreaseTerminator

Adversarially Robust Stability Certificates can be Sample-Efficient

Efficient Large Scale Language Modeling with Mixtures of Experts

Attention-Based Sensor Fusion for Human Activity Recognition Using IMU
  Signals

Proving Theorems using Incremental Learning and Hindsight Experience
  Replay

HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D
  Medical Image Segmentation using HyperNet

Distributed and Stochastic Optimization Methods with Gradient
  Compression and Local Steps

Self-attention Presents Low-dimensional Knowledge Graph Embeddings for

Latte: Cross-framework Python Package for Evaluation of Latent-Based

Optimization for Master-UAV-powered Auxiliary-Aerial-IRS-assisted IoT
  Networks: An Option-based Multi-agent Hierarchical Deep Reinforcement

Turbo-Sim: a generalised generative model with a physical latent space

Integral representations of shallow neural network with Rectified Power
  Unit activation function

Differentially Private Regret Minimization in Episodic Markov Decision
  Processes

Hybrid Bayesian network discovery with latent variables by scoring
  multiple interventions

PyChEst: a Python package for the consistent retrospective estimation of
  distributional changes in piece-wise stationary time series

Lifelong Learning in Evolving Graphs with Limited Labeled Data and
  Unseen Class Detection

Implicit Neural Representation Learning for Hyperspectral Image

A deep reinforcement learning model for predictive maintenance planning
  of road assets: Integrating LCA and LCCA

Artificial neural network modelling of generalised parton distributions

Accurate online training of dynamical spiking neural networks through
  Forward Propagation Through Time

NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems

Unsupervised deep learning techniques for powdery mildew recognition
  based on multispectral imaging

HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on
  Heterogeneous Medical Images

TFDPM: Attack detection for cyber-physical systems with diffusion

Learning Robust Policy against Disturbance in Transition Dynamics via
  State-Conservative Policy Optimization

Between words and characters: A Brief History of Open-Vocabulary
  Modeling and Tokenization in NLP

Dijkstra-Through-Time: Ahead of time hardware scheduling method for
  deterministic workloads

Scale-Net: Learning to Reduce Scale Differences for Large-Scale
  Invariant Image Matching

Fusion and Orthogonal Projection for Improved Face-Voice Association

a novel attention-based network for fast salient object detection

High-Cardinality Hybrid Shaping for 4D Modulation Formats in Optical
  Communications Optimized via End-to-End Learning

Difuzer: Uncovering Suspicious Hidden Sensitive Operations in Android
  Apps

An iterative clustering algorithm for the Contextual Stochastic Block
  Model with optimality guarantees

Safe multi-agent deep reinforcement learning for joint bidding and
  maintenance scheduling of generation units

Learning with Label Noise for Image Retrieval by Selecting Interactions

Exploring the robust extrapolation of high-dimensional machine learning

Interpretable Preference-based Reinforcement Learning with
  Tree-Structured Reward Functions

UFPMP-Det: Toward Accurate and Efficient Object Detection on Drone
  Imagery

Efficient Wind Speed Nowcasting with GPU-Accelerated Nearest Neighbors
  Algorithm

Can Online Customer Reviews Help Design More Sustainable Products? A
  Preliminary Study on Amazon Climate Pledge Friendly Products

Quasi-uniform designs with optimal and near-optimal uniformity constant

Predicting treatment effects from observational studies using machine
  learning methods: A simulation study

Sending Timely Status Updates through Channel with Random Delay via
  Online Learning

Evaluation and Comparison of Deep Learning Methods for Pavement Crack
  Identification with Visual Images

Decentralized Stochastic Proximal Gradient Descent with Variance
  Reduction over Time-varying Networks

Multimodal Adversarially Learned Inference with Factorized

Learning for Robust Combinatorial Optimization: Algorithm and

CGIBNet: Bandwidth-constrained Communication with Graph Information
  Bottleneck in Multi-Agent Reinforcement Learning

A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised
  Graph Representation Learning Methods

Feature Selection for Efficient Local-to-Global Bayesian Network
  Structure Learning

Deep Co-supervision and Attention Fusion Strategy for Automatic COVID-19
  Lung Infection Segmentation on CT Images

DMS-GCN: Dynamic Mutiscale Spatiotemporal Graph Convolutional Networks

RetroComposer: Discovering Novel Reactions by Composing Templates for
  Retrosynthesis Prediction

Generating Photo-realistic Images from LiDAR Point Clouds with

Adaptive model reduction and state estimation of agro-hydrological
  systems

Gaussian Processes for Finite Size Extrapolation of Many-Body

Classifier Calibration: How to assess and improve predicted class
  probabilities: a survey

Incremental Cross-view Mutual Distillation for Self-supervised Medical
  CT Synthesis

English-to-Chinese Transliteration with Phonetic Back-transliteration

CSSR: A Context-Aware Sequential Software Service Recommendation Model

Attention Based Communication and Control for Multi-UAV Path Planning

Semi-Decentralized Federated Edge Learning with Data and Device
  Heterogeneity

Contrastive Attention Network with Dense Field Estimation for Face

Skin lesion segmentation and classification using deep learning and
  handcrafted features

Efficient Tensor Robust PCA under Hybrid Model of Tucker and Tensor
  Train

Specific heat and its high-order moments in relativistic heavy-ion
  collisions from a multiphase transport model

Driver Drowsiness Detection Using Ensemble Convolutional Neural Networks
  on YawDD

O'TRAIN: a robust and flexible Real/Bogus classifier for the study of
  the optical transient sky

Parallel Multi-Scale Networks with Deep Supervision for Hand Keypoint
  Detection

Estimating Causal Effects of Multi-Aspect Online Reviews with
  Multi-Modal Proxies

Variational Bayes for high-dimensional proportional hazards models with
  applications within gene expression

Exploration-exploitation trade-off for continuous-time episodic
  reinforcement learning with linear-convex models

GPU optimization of the 3D Scale-invariant Feature Transform Algorithm
  and a Novel BRIEF-inspired 3D Fast Descriptor

Inverse deep learning methods and benchmarks for artificial
  electromagnetic material design

SSDNet: State Space Decomposition Neural Network for Time Series

Valid inferential models for prediction in supervised learning problems

Direct and approximately valid probabilistic inference on a class of
  statistical functionals

Graph Neural Network Predictions of Metal Organic Framework CO2
  Adsorption Properties

Quantum Approximate Optimization Algorithm applied to the binary
  perceptron

Modelling of Received Signals in Molecular Communication Systems based
  machine learning: Comparison of azure machine learning and Python tools

End-to-End Learning of Multi-category 3D Pose and Shape Estimation

LUC at ComMA-2021 Shared Task: Multilingual Gender Biased and Communal
  Language Identification without using linguistic features

A Deep Learning Based Workflow for Detection of Lung Nodules With Chest
  Radiograph

Robust and Privacy-Preserving Collaborative Learning: A Comprehensive
  Survey

Analysis of the HiSCORE Simulated Events in TAIGA Experiment Using

The Preliminary Results on Analysis of TAIGA-IACT Images Using

Improving Face-Based Age Estimation with Attention-Based Dynamic Patch
  Fusion

FedNI: Federated Graph Learning with Network Inpainting for
  Population-Based Disease Prediction

Topology Preserving Local Road Network Estimation from Single Onboard
  Camera Image

Logarithmic Unbiased Quantization: Simple 4-bit Training in Deep
  Learning

Active Weighted Aging Ensemble for Drifted Data Stream Classification

RoboAssembly: Learning Generalizable Furniture Assembly Policy in a
  Novel Multi-robot Contact-rich Simulation Environment

Denoised Labels for Financial Time-Series Data via Self-Supervised
  Learning

Early Detection of Security-Relevant Bug Reports using Machine Learning:
  How Far Are We?

Evaluating System Identification Methods for Predicting Thermal
  Dissipation of Heterogeneous SoCs

Investigation of Densely Connected Convolutional Networks with Domain
  Adversarial Learning for Noise Robust Speech Recognition

Expression might be enough: representing pressure and demand for
  reinforcement learning based traffic signal control

Camera-aware Style Separation and Contrastive Learning for Unsupervised
  Person Re-identification

Heterogeneous Transformer: A Scale Adaptable Neural Network Architecture
  for Device Activity Detection

D-HAN: Dynamic News Recommendation with Hierarchical Attention Network

MoCaNet: Motion Retargeting in-the-wild via Canonicalization Networks

Managing dataset shift by adversarial validation for credit scoring

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in
  Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking
  Results

Lerna: Transformer Architectures for Configuring Error Correction Tools
  for Short- and Long-Read Genome Sequencing

CORE: A Knowledge Graph Entity Type Prediction Method via Complex Space
  Regression and Embedding

LocFormer: Enabling Transformers to Perform Temporal Moment Localization
  on Long Untrimmed Videos With a Feature Sampling Approach

Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation

Jamming Pattern Recognition over Multi-Channel Networks: A Deep Learning
  Approach

List Autoencoder: Towards Deep Learning Based Reliable Transmission Over
  Noisy Channels

Controlling the Quality of Distillation in Response-Based Network

A-ESRGAN: Training Real-World Blind Super-Resolution with Attention
  U-Net Discriminators

Android-COCO: Android Malware Detection with Graph Neural Network for
  Byte- and Native-Code

Predicting Patient Readmission Risk from Medical Text via Knowledge
  Graph Enhanced Multiview Graph Convolution

Sub-100uW Multispectral Riemannian Classification for EEG-based
  Brain--Machine Interfaces

Continual Learning with Knowledge Transfer for Sentiment Classification

Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks

Online Grounding of Symbolic Planning Domains in Unknown Environments

Low-resource Learning with Knowledge Graphs: A Comprehensive Survey

Learning-based methods to model small body gravity fields for proximity
  operations: Safety and Robustness

Curriculum Based Reinforcement Learning of Grid Topology Controllers to
  Prevent Thermal Cascading

Data-Driven Reachability analysis and Support set Estimation with
  Christoffel Functions

FlowPool: Pooling Graph Representations with Wasserstein Gradient Flows

An Autonomous Self-Incremental Learning Approach for Detection of Cyber
  Attacks on Unmanned Aerial Vehicles (UAVs)

Leveraging Transformers for Hate Speech Detection in Conversational
  Code-Mixed Tweets

3D Structural Analysis of the Optic Nerve Head to Robustly Discriminate
  Between Papilledema and Optic Disc Drusen

Being Friends Instead of Adversaries: Deep Networks Learn from Data
  Simplified by Other Networks

GOPHER: Categorical probabilistic forecasting with graph structure via
  local continuous-time dynamics

The Kolmogorov Superposition Theorem can Break the Curse of
  Dimensionality When Approximating High Dimensional Functions

Rapid Face Mask Detection and Person Identification Model based on Deep

Exploiting Expert-guided Symmetry Detection in Offline Reinforcement
  Learning

Multiple Time Series Fusion Based on LSTM An Application to CAP A Phase

DeepUME: Learning the Universal Manifold Embedding for Robust Point

DegreEmbed: incorporating entity embedding into logic rule learning for
  knowledge graph reasoning

The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large
  Web Corpus

Fast and Robust Registration of Partially Overlapping Point Clouds

Learning to Model the Relationship Between Brain Structural and
  Functional Connectomes

GNN-Geo: A Graph Neural Network-based Fine-grained IP geolocation
  Framework

Improving Subgraph Recognition with Variational Graph Information

Model-Based Safe Reinforcement Learning with Time-Varying State and
  Control Constraints: An Application to Intelligent Vehicles

Does Explainable Machine Learning Uncover the Black Box in Vision
  Applications?

Towards the Explanation of Graph Neural Networks in Digital Pathology
  with Information Flows

Revisiting Memory Efficient Kernel Approximation: An Indefinite Learning

Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI

Cascading Adaptors to Leverage English Data to Improve Performance of
  Question Answering for Low-Resource Languages

Off-Policy Evaluation Using Information Borrowing and Context-Based
  Switching

Morpheme Boundary Detection & Grammatical Feature Prediction for
  Gujarati : Dataset & Model

Improved No-Regret Algorithms for Stochastic Shortest Path with Linear
  MDP

Deep Learning for Stability Analysis of a Freely Vibrating Sphere at
  Moderate Reynolds Number

Space Non-cooperative Object Active Tracking with Deep Reinforcement
  Learning

Enhanced Object Detection in Floor-plan through Super Resolution

Creativity of AI: Automatic Symbolic Option Discovery for Facilitating

Improving the performance of bagging ensembles for data streams through
  mini-batching

Neural Born Iteration Method For Solving Inverse Scattering Problems: 2D
  Cases

Exploiting Long-Term Dependencies for Generating Dynamic Scene Graphs

Scheduling HVAC loads to promote renewable generation integration with a
  learning-based joint chance-constrained approach

Federated Dynamic Sparse Training: Computing Less, Communicating Less,
  Yet Learning Better

Gradient-based Novelty Detection Boosted by Self-supervised Binary

Meta Propagation Networks for Graph Few-shot Semi-supervised Learning

Automated Domain Discovery from Multiple Sources to Improve Zero-Shot

AutoTransfer: Subject Transfer Learning with Censored Representations on
  Biosignals Data

Robust Distributed Bayesian Learning with Stragglers via Consensus Monte
  Carlo

A data-centric weak supervised learning for highway traffic incident
  detection

Query Adaptive Few-Shot Object Detection with Heterogeneous Graph

Exploring the Impact of Virtualization on the Usability of the Deep
  Learning Applications

Comparative Analysis of Radar Cross Section Based UAV Classification

Reflections on the future of machine learning for materials research

Learned Half-Quadratic Splitting Network for MR Image Reconstruction

Best of Both Worlds: A Hybrid Approach for Multi-Hop Explanation with
  Declarative Facts

Supervised Multivariate Learning with Simultaneous Feature Auto-grouping
  and Dimension Reduction

Neurashed: A Phenomenological Model for Imitating Deep Learning Training

Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition

On the existence of global minima and convergence analyses for gradient
  descent methods in the training of deep neural networks

Calibrating hypersonic turbulence flow models with the HIFiRE-1
  experiment using data-driven machine-learned models

An Online Data-Driven Emergency-Response Method for Autonomous Agents in
  Unforeseen Situations

Explain, Edit, and Understand: Rethinking User Study Design for
  Evaluating Model Explanations

On the Evolution of the MCTS Upper Confidence Bounds for Trees by Means
  of Evolutionary Algorithms in the Game of Carcassonne

Distillation of RL Policies with Formal Guarantees via Variational
  Abstraction of Markov Decision Processes (Technical Report)

FastSurferVINN: Building Resolution-Independence into Deep Learning
  Segmentation Methods -- A Solution for HighRes Brain MRI

Information-theoretic stochastic contrastive conditional GAN:
  InfoSCC-GAN

Catching a grown-up starfish planetary nebula II. Plasma analysis and
  central star properties of PC 22

Tagging the Higgs boson decay to bottom quarks with colour-sensitive
  observables and the Lund jet plane

Video-Based Reconstruction of the Trajectories Performed by Skiers

Generation of data on discontinuous manifolds via continuous stochastic
  non-invertible networks

Local contrastive loss with pseudo-label based self-training for
  semi-supervised medical image segmentation

Embedding Graph Convolutional Networks in Recurrent Neural Networks for
  Predictive Monitoring

Oil Spill SAR Image Segmentation via Probability Distribution Modelling

Sparsifying Sparse Representations for Passage Retrieval by Top-$k$
  Masking

Inorganic Synthesis Reaction Condition Prediction with Generative

Joint machine learning analysis of muon spectroscopy data from different
  materials

Transcribing Natural Languages for The Deaf via Neural Editing Programs

Linguistic and Gender Variation in Speech Emotion Recognition using
  Spectral Features

Align and Prompt: Video-and-Language Pre-training with Entity Prompts

Convergence Rates of Two-Time-Scale Gradient Descent-Ascent Dynamics for
  Solving Nonconvex Min-Max Problems

An ensemble deep learning technique for detecting suicidal ideation from
  posts in social media platforms

Super-resolution reconstruction of cytoskeleton image based on A-net
  deep learning network

Nearest neighbor search with compact codes: A decoder perspective

ColO-RAN: Developing Machine Learning-based xApps for Open RAN
  Closed-loop Control on Programmable Experimental Platforms

Resilient Branching MPC for Multi-Vehicle Traffic Scenarios Using
  Adversarial Disturbance Sequences

NFTGAN: Non-Fungible Token Art Generation Using Generative Adversarial
  Networks

A Formal Model for Polarization under Confirmation Bias in Social
  Networks

Doubly Robust Estimation of the Hazard Difference for Competing Risks
  Data

Online Classroom Evaluation System Based on Multi-Reaction Estimation

Pixel Distillation: A New Knowledge Distillation Scheme for
  Low-Resolution Image Recognition

End-to-End Rate-Distortion Optimized Learned Hierarchical Bi-Directional
  Video Compression

Correlated Product of Experts for Sparse Gaussian Process Regression

Interpretable and Interactive Deep Multiple Instance Learning for Dental
  Caries Classification in Bitewing X-rays

Symmetry-aware Neural Architecture for Embodied Visual Navigation

Towards Launching AI Algorithms for Cellular Pathology into Clinical &
  Pharmaceutical Orbits

Stability Verification in Stochastic Control Systems via Neural Network
  Supermartingales

Dialog+ in Broadcasting: First Field Tests Using Deep-Learning-Based
  Dialogue Enhancement

Methods for segmenting cracks in 3d images of concrete: A comparison
  based on semi-synthetic images

Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-stage
  Span Labeling

Learning in Restless Bandits under Exogenous Global Markov Process

Learning from Heterogeneous Data Based on Social Interactions over
  Graphs

Learning Reward Machines: A Study in Partially Observable Reinforcement
  Learning

Towards fuzzification of adaptation rules in self-adaptive architectures

A Multimodal Approach for Automatic Mania Assessment in Bipolar Disorder

An overview of active learning methods for insurance with fairness
  appreciation

Contrastive Explanations for Comparing Preferences of Reinforcement

Weakly Supervised Semantic Segmentation via Alternative Self-Dual
  Teaching

Visual Learning-based Planning for Continuous High-Dimensional POMDPs

A singular Riemannian geometry approach to Deep Neural Networks II.
  Reconstruction of 1-D equivalence classes

A singular Riemannian geometry approach to Deep Neural Networks I.
  Theoretical foundations

Distillation of Human-Object Interaction Contexts for Action Recognition

Data Efficient Language-supervised Zero-shot Recognition with Optimal
  Transport Distillation

Federated Learning with Heterogeneous Data: A Superquantile Optimization
  Approach

Dynamics-aware Adversarial Attack of 3D Sparse Convolution Network

Continual Learning for Monolingual End-to-End Automatic Speech

SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-Trained
  Siamese Transformers

ActKnow: Active External Knowledge Infusion Learning for Question
  Answering in Low Data Regime

A Review on Visual Privacy Preservation Techniques for Active and
  Assisted Living

Personalized Lane Change Decision Algorithm Using Deep Reinforcement

Generalisation effects of predictive uncertainty estimation in deep
  learning for digital pathology

Self-attention based anchor proposal for skeleton-based action

Communication-oriented Model Fine-tuning for Packet-loss Resilient
  Distributed Inference under Highly Lossy IoT Networks

Semi-Supervised Clustering via Information-Theoretic Markov Chain

Can Machine Learning Tools Support the Identification of Sustainable
  Design Leads From Product Reviews? Opportunities and Challenges

Feature extraction and classification algorithm, which one is more
  essential? An experimental study on a specific task of vibration signal
  diagnosis

Full Transformer Framework for Robust Point Cloud Registration with Deep
  Information Interaction

Discretization and Re-synthesis: an alternative method to solve the
  Cocktail Party Problem

Colloquium: Advances in automation of quantum dot devices control

UniMiSS: Universal Medical Self-Supervised Learning via Breaking
  Dimensionality Barrier

From Deterioration to Acceleration: A Calibration Approach to
  Rehabilitating Step Asynchronism in Federated Optimization

Performance Evaluations of Noisy Approximate Quantum Fourier Arithmetic

Expedition: A System for the Unsupervised Learning of a Hierarchy of
  Concepts

High-throughput Discovery and Intelligent Design of 2D Functional
  Materials for Various Applications

Personalized On-Device E-health Analytics with Decentralized Block
  Coordinate Descent

KGBoost: A Classification-based Knowledge Base Completion Method with
  Negative Sampling

Deep Spatially and Temporally Aware Similarity Computation for Road
  Network Constrained Trajectories

Community-based Layerwise Distributed Training of Graph Convolutional
  Networks

Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion
  Cylinders

D3PG: Dirichlet DDPG for Task Partitioning and Offloading with
  Constrained Hybrid Action Space in Mobile Edge Computing

Incentivizing Collaboration in Machine Learning via Synthetic Data
  Rewards

JTubeSpeech: corpus of Japanese speech collected from YouTube for speech
  recognition and speaker verification

Optimal discharge of patients from intensive care via a data-driven
  policy learning framework

Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects

MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical
  Modeling

Unadjusted Langevin algorithm for sampling a mixture of weakly smooth

Gaussian RBF Centered Kernel Alignment (CKA) in the Large Bandwidth
  Limit

Three-dimensional deep learning-based reduced order model for unsteady
  flow dynamics with variable Reynolds number

Learning Stabilizing Controllers of Linear Systems via Discount Policy
  Gradient

A Comparative Study of Detecting Anomalies in Time Series Data Using
  LSTM and TCN Models

PeopleSansPeople: A Synthetic Data Generator for Human-Centric Computer
  Vision

Neural Architectures for Biological Inter-Sentence Relation Extraction

Forward Collision Warning Systems: Validating Driving Simulator Results
  with Field Data

Dynamic Measure of Hyperuniformity and Nonhyperuniformity in
  Heterogeneous Media via the Diffusion Spreadability

Discovery of 16 New Members of the Solar Neighborhood using Proper
  Motions from CatWISE2020

Image Inpainting Using AutoEncoder and Guided Selection of Predicted
  Pixels

Robustness, Heterogeneous Treatment Effects and Covariate Shifts

Automated Deep Learning: Neural Architecture Search Is Not the End

Sim2Real Docs: Domain Randomization for Documents in Natural Scenes
  using Ray-traced Rendering

All You Need is RAW: Defending Against Adversarial Attacks with Camera
  Image Pipelines

A Deep-Learning Framework for Improving COVID-19 CT Image Quality and
  Diagnostic Accuracy

Sparse Coding with Multi-Layer Decoders using Variance Regularization

Predicting Defects in Laser Powder Bed Fusion using in-situ Thermal
  Imaging Data and Machine Learning

CGAN-EB: A Non-parametric Empirical Bayes Method for Crash Hotspot
  Identification Using Conditional Generative Adversarial Networks: A
  Real-world Crash Data Study

Intermittent Deployment for Large-Scale Multi-Robot Forage Perception:
  Data Synthesis, Prediction, and Planning

Semantic-Based Few-Shot Learning by Interactive Psychometric Testing

Benchmarking Uncertainty Quantification on Biosignal Classification
  Tasks under Dataset Shift

Analysis of Generalized Bregman Surrogate Algorithms for Nonsmooth
  Nonconvex Statistical Learning

Monitoring crop phenology with street-level imagery using computer
  vision

Exact Shapley Values for Local and Model-True Explanations of Decision
  Tree Ensembles

Predicting Shallow Water Dynamics using Echo-State Networks with

Coherence Learning using Keypoint-based Pooling Network for Accurately
  Assessing Radiographic Knee Osteoarthritis

Effective prevention of semantic drift as angular distance in
  memory-less continual deep neural networks

Learning Bounded Context-Free-Grammar via LSTM and the
  Transformer:Difference and Explanations

An Audio-Visual Dataset and Deep Learning Frameworks for Crowded Scene

Reinforcing RCTs with Multiple Priors while Learning about External
  Validity

ALEBk: Feasibility Study of Attention Level Estimation via Blink
  Detection applied to e-Learning

High Fidelity Visualization of What Your Self-Supervised Representation
  Knows About

Implementation of a Binary Neural Network on a Passive Array of Magnetic
  Tunnel Junctions

An Empirical Investigation of the Role of Pre-training in Lifelong
  Learning

Masked Feature Prediction for Self-Supervised Visual Pre-Training

HODOR: High-level Object Descriptors for Object Re-segmentation in Video
  Learned from Static Images

Decoupling and Recoupling Spatiotemporal Representation for RGB-D-based
  Motion Recognition

IS-COUNT: Large-scale Object Counting from Satellite Images with
  Covariate-based Importance Sampling

Unsupervised Dense Information Retrieval with Contrastive Learning

Learning and Analyzing Generation Order for Undirected Sequence Models

A new locally linear embedding scheme in light of Hessian eigenmap

Variational Onsager Neural Networks (VONNs): A thermodynamics-based
  variational learning strategy for non-equilibrium PDEs

CrossLoc: Scalable Aerial Localization Assisted by Multimodal Synthetic
  Data

Hierarchical Clustering: $O(1)$-Approximation for Well-Clustered Graphs

Pushing the Limits of Rule Reasoning in Transformers through Natural
  Language Satisfiability

Random Number Generator, Zero-Crossing, and Nonlinearity Attacks against
  the Kirchhoff-Law-Johnson-Noise (KLJN) Secure Key Exchange Protocol

Simultaneous Multivariate Forecast of Space Weather Indices using Deep
  Neural Network Ensembles

Distributed neural network control with dependability guarantees: a
  compositional port-Hamiltonian approach

Neural Style Transfer and Unpaired Image-to-Image Translation to deal
  with the Domain Shift Problem on Spheroid Segmentation

A Static Analyzer for Detecting Tensor Shape Errors in Deep Neural
  Network Training Code

Deep Reinforcement Learning Policies Learn Shared Adversarial Features
  Across MDPs

A Modular Workflow for Performance Benchmarking of Neuronal Network

Large Scale Distributed Linear Algebra With Tensor Processing Units

Benchmarking Safe Deep Reinforcement Learning in Aquatic Navigation

Multivariate Realized Volatility Forecasting with Graph Neural Network

Centralizing State-Values in Dueling Networks for Multi-Robot
  Reinforcement Learning Mapless Navigation

Bioacoustic Event Detection with prototypical networks and data
  augmentation

Connecting the Dots between Audio and Text without Parallel Data through
  Visual Knowledge Transfer

Interference Suppression Using Deep Learning: Current Approaches and
  Open Challenges

End-to-End Multi-Task Deep Learning and Model Based Control Algorithm

Sample-Efficient Reinforcement Learning via Conservative Model-Based

Objective hearing threshold identification from auditory brainstem
  response measurements using supervised and self-supervised approaches

A molecular generative model with genetic algorithm and tree search for
  cancer samples

Slot-VPS: Object-centric Representation Learning for Video Panoptic

MVSS-Net: Multi-View Multi-Scale Supervised Networks for Image
  Manipulation Detection

Learning from Guided Play: A Scheduled Hierarchical Approach for
  Improving Exploration in Adversarial Imitation Learning

Bootstrap Equilibrium and Probabilistic Speaker Representation Learning
  for Self-supervised Speaker Verification

GOSH: Task Scheduling Using Deep Surrogate Models in Fog Computing

Characterizing and addressing the issue of oversmoothing in neural
  autoregressive sequence modeling

Contrastive Spatio-Temporal Pretext Learning for Self-supervised Video

CodedPaddedFL and CodedSecAgg: Straggler Mitigation and Secure
  Aggregation in Federated Learning

Inherently Explainable Reinforcement Learning in Natural Language

Graph Structure Learning with Variational Information Bottleneck

Bottom Up Top Down Detection Transformers for Language Grounding in
  Images and Point Clouds

GRAM: Generative Radiance Manifolds for 3D-Aware Image Generation

Detecting Model Misspecification in Amortized Bayesian Inference with

Addressing Adversarial Machine Learning Attacks in Smart Healthcare

Classification Under Ambiguity: When Is Average-K Better Than Top-K?

Multiple Instance Learning for Brain Tumor Detection from Magnetic
  Resonance Spectroscopy Data

Adapting Document-Grounded Dialog Systems to Spoken Conversations using
  Data Augmentation and a Noisy Channel Model

A CNN based method for Sub-pixel Urban Land Cover Classification using
  Landsat-5 TM and Resourcesat-1 LISS-IV Imagery

Improving Unsupervised Stain-To-Stain Translation using Self-Supervision
  and Meta-Learning

Imbalanced Sample Generation and Evaluation for Power System Transient
  Stability Using CTGAN

Graph-wise Common Latent Factor Extraction for Unsupervised Graph

Search for temporal cell segmentation robustness in phase-contrast
  microscopy videos

Ditch the Gold Standard: Re-evaluating Conversational Question Answering

Dataset correlation inference attacks against machine learning models

UNIREX: A Unified Learning Framework for Language Model Rationale

Understanding Memorization from the Perspective of Optimization via
  Efficient Influence Estimation

Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated
  Label Mixing

AcTune: Uncertainty-aware Active Self-Training for Semi-Supervised
  Active Learning with Pretrained Language Models

Improved YOLOv5 network for real-time multi-scale traffic sign detection

Self-Supervised Learning for speech recognition with Intermediate layer
  supervision

Long Context Question Answering via Supervised Contrastive Learning

BoGraph: Structured Bayesian Optimization From Logs for Expensive
  Systems with Many Parameters

There is an elephant in the room: Towards a critique on the use of
  fairness in biometrics

CODER: An efficient framework for improving retrieval through COntextual
  Document Embedding Reranking

Graph Convolutional Networks with Dual Message Passing for Subgraph
  Isomorphism Counting and Matching

Spatio-Temporal CNN baseline method for the Sports Video Task of
  MediaEval 2021 benchmark

Sports Video: Fine-Grained Action Detection and Classification of Table
  Tennis Strokes from Videos for MediaEval 2021

DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems

Constrained multi-objective optimization of process design parameters in
  settings with scarce data: an application to adhesive bonding

KnAC: an approach for enhancing cluster analysis with background
  knowledge and explanations

CLIN-X: pre-trained language models and a study on cross-task transfer
  for concept extraction in the clinical domain

ALP: Data Augmentation using Lexicalized PCFGs for Few-Shot Text

Knowledge-enhanced Session-based Recommendation with Temporal

Learning to Minimize Cost-to-Serve for Multi-Node Multi-Product Order
  Fulfilment in Electronic Commerce

Self-Supervised Dynamic Graph Representation Learning via Temporal
  Subgraph Contrast

Prompt Tuning GPT-2 language model for parameter-efficient domain
  adaptation of ASR systems

GIMIRec: Global Interaction Information Aware Multi-Interest Framework
  for Sequential Recommendation

Forecasting sales with Bayesian networks: a case study of a supermarket
  product in the presence of promotions

Lacuna Reconstruction: Self-supervised Pre-training for Low-Resource
  Historical Document Transcription

Extracting Photometric Redshift from Galaxy Flux and Image Data using
  Neural Networks in the CSST Survey

Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks

Mimic Embedding via Adaptive Aggregation: Learning Generalizable Person

Are Graph Augmentations Necessary? Simple Graph Contrastive Learning for

Machine Learning-Accelerated Computational Solid Mechanics: Application
  to Linear Elasticity

Intelligent Bearing Fault Diagnosis Method Combining Mixed Input and
  Hybrid CNN-MLP model

Learning to Repair: Repairing model output errors after deployment using
  a dynamic memory of feedback

ASC-Net: Unsupervised Medical Anomaly Segmentation Using an
  Adversarial-based Selective Cutting Network

Learning Interpretable Models Through Multi-Objective Neural

A comparative study of paired versus unpaired deep learning methods for
  physically enhancing digital rock image resolution

TransZero++: Cross Attribute-Guided Transformer for Zero-Shot Learning

Road-aware Monocular Structure from Motion and Homography Estimation

Explainable Natural Language Processing with Matrix Product States

A Statistics and Deep Learning Hybrid Method for Multivariate Time
  Series Forecasting and Mortality Modeling

Masked Measurement Prediction: Learning to Jointly Predict Quantities
  and Units from Textual Context

Clickbait in YouTube Prevention, Detection and Analysis of the Bait
  using Ensemble Learning

FIgLib & SmokeyNet: Dataset and Deep Learning Model for Real-Time
  Wildland Fire Smoke Detection

Goal-Directed Story Generation: Augmenting Generative Language Models

Improving Ethical Outcomes with Machine-in-the-Loop: Broadening Human
  Understanding of Data Annotations

Learning to acquire novel cognitive tasks with evolution, plasticity and
  meta-meta-learning

SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense
  Reasoning

The Credibility Cryptocurrency Valuation: Statistical Learning Analysis
  for Influencer Tweets

CLICKER: A Computational LInguistics Classification Scheme for
  Educational Resources

Predictive Price-Performance Optimization for Serverless Query

Can Multilinguality benefit Non-autoregressive Machine Translation?

HampDTI: a heterogeneous graph automatic meta-path learning method for
  drug-target interaction prediction

Hierarchical Cross-Modality Semantic Correlation Learning Model for
  Multimodal Summarization

CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement
  Learning

A Deep Learning Approach for Ontology Enrichment from Unstructured Text

UMAD: Universal Model Adaptation under Domain and Category Shift

A prediction-based approach for online dynamic patient scheduling: a
  case study in radiotherapy treatment

Isochrony-Aware Neural Machine Translation for Automatic Dubbing

BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and
  Preprocessing

Integrated Guidance and Control for Lunar Landing using a Stabilized
  Seeker

Trading with the Momentum Transformer: An Intelligent and Interpretable

Trees in transformers: a theoretical analysis of the Transformer's
  ability to represent trees

FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning

Safety-Aware Preference-Based Learning for Safety-Critical Control

Do You See What I See? Capabilities and Limits of Automated Multimedia
  Content Analysis

ELight: Enabling Efficient Photonic In-Memory Neurocomputing with Life

OptABC: an Optimal Hyperparameter Tuning Approach for Machine Learning

Algorithms for Adaptive Experiments that Trade-off Statistical Analysis
  with Reward: Combining Uniform Random Assignment and Reward Maximization

Predicting Levels of Household Electricity Consumption in Low-Access
  Settings

A Targeted Approach to Confounder Selection for High-Dimensional Data

StyleMC: Multi-Channel Based Fast Text-Guided Image Generation and

Gaining Outlier Resistance with Progressive Quantiles: Fast Algorithms
  and Theoretical Studies

Leveraging the structure of dynamical systems for data-driven modeling

The Need for Ethical, Responsible, and Trustworthy Artificial
  Intelligence for Environmental Sciences

Quantum Algorithms for Reinforcement Learning with a Generative Model

Kernel Matrix Completion for Offline Quantum-Enhanced Machine Learning

Positional Encoding Augmented GAN for the Assessment of Wind Flow for
  Pedestrian Comfort in Urban Areas

Torch.fx: Practical Program Capture and Transformation for Deep Learning
  in Python

Multi-Epoch Machine Learning 1: Unravelling Nature vs Nurture for Galaxy
  Formation

A White-Box SVM Framework and its Swarm-Based Optimization for
  Supervision of Toothed Milling Cutter through Characterization of Spindle
  Vibrations

Interpretable Knowledge Tracing: Simple and Efficient Student Modeling
  with Causal Relations

Characterization of causal ancestral graphs for time series with latent
  confounders

Real-time Detection of Anomalies in Multivariate Time Series of
  Astronomical Data

Quantum Model Learning Agent: characterisation of quantum systems
  through machine learning

Estimating Uncertainty For Vehicle Motion Prediction on Yandex Shifts
  Dataset

Selecting the suitable resampling strategy for imbalanced data
  classification regarding dataset properties

Database Search Results Disambiguation for Task-Oriented Dialog Systems

Simple Text Detoxification by Identifying a Linear Toxic Subspace in
  Language Model Embeddings

AllWOZ: Towards Multilingual Task-Oriented Dialog Systems for All

Is "My Favorite New Movie" My Favorite Movie? Probing the Understanding
  of Recursive Noun Phrases

Know Thy Strengths: Comprehensive Dialogue State Tracking Diagnostics

Encoding protein dynamic information in graph representation for
  functional residue identification

Rethinking Influence Functions of Neural Networks in the
  Over-parameterized Regime

Lifelong Generative Modelling Using Dynamic Expansion Graph Model

Improving Both Domain Robustness and Domain Adaptability in Machine

Distributed Applications in Gamification of the Learning Process

Detecting Object States vs Detecting Objects: A New Dataset and a
  Quantitative Experimental Study

SeqFormer: Sequential Transformer for Video Instance Segmentation

Next-generation Web Applications with WebAssembly and TruffleWasm

Prescriptive Machine Learning for Automated Decision Making: Challenges
  and Opportunities

One System to Rule them All: a Universal Intent Recognition System for
  Customer Service Chatbots

Exploring Aspects of Polyglot High-Performance Virtual Machine GraalVM

Online Feature Selection for Efficient Learning in Networked Systems

Predicting the utility of search spaces for black-box optimization: a
  simple, budget-aware approach

RA V-Net: Deep learning network for automated liver segmentation

Disparities in Social Determinants among Performances of Mortality
  Prediction with Machine Learning for Sepsis Patients

Guaranteed Nonlinear Tracking in the Presence of DNN-Learned Dynamics
  With Contraction Metrics and Disturbance Estimation

Quantitative analysis of visual representation of sign elements in
  COVID-19 context

Probabilistic Forecasting with Generative Networks via Scoring Rule

Enhancing operations management through smart sensors: measuring and
  improving well-being, interaction and performance of logistics workers

TrialGraph: Machine Intelligence Enabled Insight from Graph Modelling of
  Clinical Trials

DeepScalper: A Risk-Aware Reinforcement Learning Framework to Capture
  Fleeting Intraday Trading Opportunities

Confidence-Aware Subject-to-Subject Transfer Learning for Brain-Computer
  Interface

Taming Overconfident Prediction on Unlabeled Data from Hindsight

EEG-Transformer: Self-attention from Transformer Architecture for
  Decoding EEG of Imagined Speech

N3H-Core: Neuron-designed Neural Network Accelerator via FPGA-based
  Heterogeneous Computing Cores

Hierarchical Variational Memory for Few-shot Learning Across Domains

Boosting Neural Image Compression for Machines Using Latent Space
  Masking

Chimpanzee voice prints? Insights from transfer learning experiments
  from human voices

One size does not fit all: Investigating strategies for
  differentially-private learning across NLP tasks

Improving Conversational Recommendation Systems' Quality with
  Context-Aware Item Meta Information

Improving Self-supervised Learning with Automated Unsupervised Outlier
  Arbitration

Exponential Convergence of Deep Operator Networks for Elliptic Partial

Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy:
  Appearance Flow to the Rescue

Assisted Text Annotation Using Active Learning to Achieve High Quality
  with Little Effort

Mask-combine Decoding and Classification Approach for Punctuation
  Prediction with real-time Inference Constraints

Fusing Low-Latency Data Feeds with Death Data to Accurately Nowcast
  COVID-19 Related Deaths

Automatic tuning of hyper-parameters of reinforcement learning
  algorithms using Bayesian optimization with behavioral cloning

Towards Controllable Agent in MOBA Games with Generative Modeling

Ensuring DNN Solution Feasibility for Optimization Problems with Convex
  Constraints and Its Application to DC Optimal Power Flow Problems

Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions

Feature-Attending Recurrent Modules for Generalizing Object-Centric
  Behavior

Joint Demand Prediction for Multimodal Systems: A Multi-task
  Multi-relational Spatiotemporal Graph Neural Network Approach

Fast characterization of inducible regions of atrial fibrillation models
  with multi-fidelity Gaussian process classification

Head Matters: Explainable Human-centered Trait Prediction from Head
  Motion Dynamics

Leveraging Image-based Generative Adversarial Networks for Time Series

Building separable approximations for quantum states via neural networks

Optimal Latent Space Forecasting for Large Collections of Short Time
  Series Using Temporal Matrix Factorization

Exploring the Asynchronous of the Frequency Spectra of GAN-generated
  Facial Images

Classifying soft self-assembled materials via unsupervised machine
  learning of defects

TLogic: Temporal Logical Rules for Explainable Link Forecasting on
  Temporal Knowledge Graphs

Visually Guided UGV for Autonomous Mobile Manipulation in Dynamic and
  Unstructured GPS Denied Environments

MissMarple : A Novel Socio-inspired Feature-transfer Learning Deep
  Network for Image Splicing Detection

Generalized Difference Coder: A Novel Conditional Autoencoder Structure
  for Video Compression

Learning Submodular Objectives for Team Environmental Monitoring

Multi-modal Networks Reveal Patterns of Operational Similarity of
  Terrorist Organizations

Domain-informed neural networks for interaction localization within
  astroparticle experiments

Supervised learning of analysis-sparsity priors with automatic

Solving the Data Sparsity Problem in Predicting the Success of the
  Startups with Machine Learning Methods

Data-Driven Models for Control Engineering Applications Using the
  Koopman Operator

Detail-aware Deep Clothing Animations Infused with Multi-source

Overview of the EEG Pilot Subtask at MediaEval 2021: Predicting Media
  Memorability

SanMove: Next Location Recommendation via Self-Attention Network

Modality-Aware Triplet Hard Mining for Zero-shot Sketch-Based Image
  Retrieval

A learning-based approach to feature recognition of Engineering shapes

Channel Parameter Estimation in the Presence of Phase Noise Based on
  Maximum Correntropy Criterion

Object Pursuit: Building a Space of Objects via Discriminative Weight

Learning the statistics and landscape of somatic mutation-induced
  insertions and deletions in antibodies

DRaGon: Mining Latent Radio Channel Information from Geographical Data
  Leveraging Deep Learning

AGMI: Attention-Guided Multi-omics Integration for Drug Response
  Prediction with Graph Neural Networks

Graph Representation Learning via Contrasting Cluster Assignments

Ten years of image analysis and machine learning competitions in
  dementia

M-FasterSeg: An Efficient Semantic Segmentation Network Based on Neural

A Comparative Analysis of Machine Learning Approaches for Automated Face
  Mask Detection During COVID-19

Advancing Residual Learning towards Powerful Deep Spiking Neural
  Networks

Energy-Efficient Real-Time Heart Monitoring on Edge-Fog-Cloud
  Internet-of-Medical-Things

Graph-based Ensemble Machine Learning for Student Performance Prediction

Zero-shot Audio Source Separation through Query-based Learning from
  Weakly-labeled Data

Investigating myocardial infarction and its effects in patients with
  urgent medical problems using advanced data mining tools

Does a Face Mask Protect my Privacy?: Deep Learning to Predict Protected
  Attributes from Masked Face Images

Gaze Estimation with Eye Region Segmentation and Self-Supervised
  Multistream Learning

Cross-Domain Generalization and Knowledge Transfer in Transformers
  Trained on Legal Data

Responsive parallelized architecture for deploying deep learning models
  in production environments

Fine-Tuning Large Neural Language Models for Biomedical Natural Language

Interscript: A dataset for interactive learning of scripts through error
  feedback

Applying machine learning methods to prediction problems of lattice
  observables

Fast Computation of Generalized Eigenvectors for Manifold Graph
  Embedding

Finite-Sample Analysis of Decentralized Q-Learning for Stochastic Games

EDAssistant: Supporting Exploratory Data Analysis in Computational
  Notebooks with In-Situ Code Search and Recommendation

Efficient high-dimensional variational data assimilation with
  machine-learned reduced-order models

HyObscure: Hybrid Obscuring for Privacy-Preserving Data Publishing

Data Valuation for Vertical Federated Learning: An Information-Theoretic
  Approach

A Predictive Online Transient Stability Assessment with Hierarchical

LoSAC: An Efficient Local Stochastic Average Control Method for
  Federated Optimization

Central-Smoothing Hypergraph Neural Networks for Predicting Drug-Drug

TAFA: Design Automation of Analog Mixed-Signal FIR Filters Using Time
  Approximation Architecture

Analog/Mixed-Signal Circuit Synthesis Enabled by the Advancements of
  Circuit Architectures and Machine Learning Algorithms

Weed Recognition using Deep Learning Techniques on Class-imbalanced
  Imagery

Machine Learning Classification to Identify Catastrophic Outlier
  Photometric Redshift Estimates

Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Modeling Advection on Directed Graphs using Matérn Gaussian Processes
  for Traffic Flow

A Simple But Powerful Graph Encoder for Temporal Knowledge Graph

Variable Selection and Regularization via Arbitrary Rectangle-range
  Generalized Elastic Net

Applicability of Large Corporate Credit Models to Small Business Risk

Deciphering antibody affinity maturation with language models and weakly
  supervised learning

Learning Rigidity-based Flocking Control with Gaussian Processes

Assessing Human Interaction in Virtual Reality With Continually Learning
  Prediction Agents Based on Reinforcement Learning Algorithms: A Pilot Study

Nonlinear Discrete-time System Identification without Persistence of
  Excitation: Finite-time Concurrent Learning Methods

How are cities pledging net zero? A computational approach to analyzing
  subnational climate strategies

Learn bifurcations of nonlinear parametric systems via equation-driven

Performance or Trust? Why Not Both. Deep AUC Maximization with
  Self-Supervised Learning for COVID-19 Chest X-ray Classifications

CEM-GD: Cross-Entropy Method with Gradient Descent Planner for
  Model-Based Reinforcement Learning

Neighborhood Random Walk Graph Sampling for Regularized Bayesian Graph

Scatterbrained: A flexible and expandable pattern for decentralized

How to Learn and Represent Abstractions: An Investigation using Symbolic
  Alchemy

Conservative and Adaptive Penalty for Model-Based Safe Reinforcement
  Learning

On the quenching of star formation in observed and simulated central
  galaxies: Evidence for the role of integrated AGN feedback

Could the Magnetic Star HD 135348 Possess a Rigidly Rotating
  Magnetosphere?

Charting galactic accelerations II: how to 'learn' accelerations in the
  solar neighbourhood

Deep Neural Networks for Creating Reliable PmP Database with a Case
  Study in Southern California

How and Why to Manipulate Your Own Agent: Modeling Games between Users
  of Learning Agents

Training Multi-Layer Over-Parametrized Neural Network in Subquadratic
  Time

Speeding up Learning Quantum States through Group Equivariant
  Convolutional Quantum Ansätze

Meta-Analysis of Randomized Experiments with Applications to
  Heavy-Tailed Response Data

Gaussian Process Regression for Absorption Spectra Analysis of Molecular
  Dimers

Robust Graph Neural Networks via Probabilistic Lipschitz Constraints

M3E2: Multi-gate Mixture-of-experts for Multi-treatment Effect

The high-dimensional asymptotics of first order methods with random data

A Novel Approach to Topological Graph Theory with R-K Diagrams and
  Gravitational Wave Analysis

Cooperation for Scalable Supervision of Autonomy in Mixed Traffic

Classification of histopathology images using ConvNets to detect Lupus
  Nephritis

A study on the effect of input data length on deep learning based
  magnitude classifier

Modeling Strong and Human-Like Gameplay with KL-Regularized Search

Scientific Discovery and the Cost of Measurement -- Balancing
  Information and Cost in Reinforcement Learning

Reinforced Abstractive Summarization with Adaptive Length Controlling

Improving COVID-19 CXR Detection with Synthetic Data Augmentation

n-CPS: Generalising Cross Pseudo Supervision to n Networks for

LMTurk: Few-Shot Learners as Crowdsourcing Workers in a
  Language-Model-as-a-Service Framework

CORE-Text: Improving Scene Text Detection with Contrastive Relational
  Reasoning

Anti-Money Laundering Alert Optimization Using Machine Learning with
  Graphs

Pruning Coherent Integrated Photonic Neural Networks Using the Lottery
  Ticket Hypothesis

AI Ethics Principles in Practice: Perspectives of Designers and
  Developers

Efficient differentiable quadratic programming layers: an ADMM approach

Scale-Aware Neural Architecture Search for Multivariate Time Series

A Tutorial on Optimal Control and Reinforcement Learning methods for
  Quantum Technologies

Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in
  Pretrained Language Models

Exploring the Limits of Natural Language Inference Based Setup for
  Few-Shot Intent Detection

Conjugated Discrete Distributions for Distributional Reinforcement
  Learning

Multi-Modal Perception Attention Network with Self-Supervised Learning
  for Audio-Visual Speaker Tracking

Stochastic Planner-Actor-Critic for Unsupervised Deformable Image

Towards a Network Control Theory of Electroconvulsive Therapy Response

Robustifying automatic speech recognition by extracting slowly varying
  features

Improving Human-Object Interaction Detection via Phrase Learning and
  Label Composition

Geometry-Contrastive Transformer for Generalized 3D Pose Transfer

Semi-Supervised Variational User Identity Linkage via Noise-Aware
  Self-Learning

Supervised Learning for Multi Zone Sound Field Reproduction under Harsh
  Environmental Conditions

SCORE: Approximating Curvature Information under Self-Concordant

Learning to Guide and to Be Guided in the Architect-Builder Problem

OMAD: Object Model with Articulated Deformations for Pose Estimation and
  Retrieval

Biased Gradient Estimate with Drastic Variance Reduction for Meta

On the Impact of Hard Adversarial Instances on Overfitting in

Experimental Data-Driven Model Predictive Control of a Hospital HVAC
  System During Regular Use

Autonomous Navigation and Configuration of Integrated Access Backhauling
  for UAV Base Station Using Reinforcement Learning

Conversational Search with Mixed-Initiative -- Asking Good Clarification
  Questions backed-up by Passage Retrieval

J-PLUS: Stellar Parameters, C, N, Mg, Ca and [α/Fe] Abundances
  for Two Million Stars from DR1

Sampling Trade-Offs in Duty-Cycled Systems for Air Quality Low-Cost
  Sensors

Smoothness and effective regularizations in learned embeddings for shape
  matching

Automatic COVID-19 disease diagnosis using 1D convolutional neural
  network and augmentation with human respiratory sound based on parameters:
  cough, breath, and voice

Bilateral Cross-Modality Graph Matching Attention for Feature Fusion in

MCDS: AI Augmented Workflow Scheduling in Mobile Edge Cloud Computing
  Systems

TopNet: Learning from Neural Topic Model to Generate Long Stories

Data-driven chimney fire risk prediction using machine learning and
  point process tools

Utilizing XAI technique to improve autoencoder based model for computer
  network anomaly detection with shapley additive explanation(SHAP)

A Deep Knowledge Distillation framework for EEG assisted enhancement of
  single-lead ECG based sleep staging

Federated Learning for Face Recognition with Gradient Correction

Static-Dynamic Co-Teaching for Class-Incremental 3D Object Detection

Compensating trajectory bias for unsupervised patient stratification
  using adversarial recurrent neural networks

Unsupervised feature selection via self-paced learning and low-redundant

Meta-CPR: Generalize to Unseen Large Number of Agents with Communication
  Pattern Recognition Module

HET: Scaling out Huge Embedding Model Training via Cache-enabled
  Distributed Framework

Towards Explainable Artificial Intelligence in Banking and Financial
  Services

ACE-BERT: Adversarial Cross-modal Enhanced BERT for E-commerce Retrieval

Interpretable Convolutional Neural Networks for Subject-Independent
  Motor Imagery Classification

A machine learning approach to infer the accreted stellar mass fractions
  of central galaxies in the TNG100 simulation

From Dense to Sparse: Contrastive Pruning for Better Pre-trained
  Language Model Compression

An Adaptive Graph Pre-training Framework for Localized Collaborative
  Filtering

Generalization Bounds for Stochastic Gradient Langevin Dynamics: A
  Unified View via Information Leakage Analysis

Calibrated and Sharp Uncertainties in Deep Learning via Density

MuxLink: Circumventing Learning-Resilient MUX-Locking Using Graph Neural
  Network-based Link Prediction

Co-training Transformer with Videos and Images Improves Action

Practical Distributed Reception for Wireless Body Area Networks Using

On the use of Cortical Magnification and Saccades as Biological Proxies
  for Data Augmentation

Discovering Explanatory Sentences in Legal Case Decisions Using

Minimization of Stochastic First-order Oracle Complexity of Adaptive
  Methods for Nonconvex Optimization

A New Perspective on the Effects of Spectrum in Graph Neural Networks

Federated Nearest Neighbor Classification with a Colony of Fruit-Flies:
  With Supplement

Spatial computing in structured spiking neural networks with a robotic
  embodiment

PP-HumanSeg: Connectivity-Aware Portrait Segmentation with a Large-Scale
  Teleconferencing Video Dataset

Linear Discriminant Analysis with High-dimensional Mixed Variables

Progressive Graph Convolution Network for EEG Emotion Recognition

CLIP-Lite: Information Efficient Visual Representation Learning from
  Textual Annotations

VPVnet: a velocity-pressure-vorticity neural network method for the
  Stokes' equations under reduced regularity

Collaborating with communities: Citizen Science Flood Monitoring in
  Urban Informal Settlements

Joint 3D Object Detection and Tracking Using Spatio-Temporal
  Representation of Camera Image and LiDAR Point Clouds

Non Asymptotic Bounds for Optimization via Online Multiplicative
  Stochastic Gradient Descent

Hybrid Quantum Benders' Decomposition For Mixed-integer Linear

Estimation of Photometric Redshifts. II. Identification of
  Out-of-Distribution Data with Neural Networks

COVID-19 Pneumonia and Influenza Pneumonia Detection Using Convolutional

Grant Free MIMO-NOMA with Differential Modulation for Machine Type

Learning High-Dimensional Parametric Maps via Reduced Basis Adaptive
  Residual Networks

ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera
  Elevation and Learning Normalizing Flows on 2D Poses

Heuristic Hyperparameter Optimization for Convolutional Neural Networks
  using Genetic Algorithm

DeepDiffusion: Unsupervised Learning of Retrieval-adapted
  Representations via Diffusion-based Ranking on Latent Feature Manifold

Fast Footstep Planning on Uneven Terrain Using Deep Sequential Models

Towards a Unified Foundation Model: Jointly Pre-Training Transformers on
  Unpaired Images and Text

BACON: Deep-Learning Powered AI for Poetry Generation with Author
  Linguistic Style Transfer

Score-Based Generative Modeling with Critically-Damped Langevin
  Diffusion

Dynamic Learning of Correlation Potentials for a Time-Dependent
  Kohn-Sham System

Large Language Models are not Models of Natural Language: they are
  Corpus Models

Challenges and Solutions to Build a Data Pipeline to Identify Anomalies
  in Enterprise System Performance

A Hippocratic Oath for mathematicians? Mapping the landscape of ethics
  in mathematics

Multi-Expert Human Action Recognition with Hierarchical Super-Class
  Learning

Designing weighted and multiplex networks for deep learning user
  geolocation in Twitter

On The Reliability Of Machine Learning Applications In Manufacturing

AI and extreme scale computing to learn and infer the physics of higher
  order gravitational wave modes of quasi-circular, spinning, non-precessing
  binary black hole mergers

Investigation of Quantum Support Vector Machine for Classification in
  NISQ era

DenseGAP: Graph-Structured Dense Correspondence Learning with Anchor
  Points

GLaM: Efficient Scaling of Language Models with Mixture-of-Experts

HVH: Learning a Hybrid Neural Volumetric Representation for Dynamic Hair
  Performance Capture

Interpretable Design of Reservoir Computing Networks using Realization
  Theory

Improving and Diagnosing Knowledge-Based Visual Question Answering via
  Entity Enhanced Knowledge Injection

Rubric-based holistic review represents a change from traditional
  graduate admissions approaches in physics

Generalization Bounded Implicit Learning of Nearly Discontinuous
  Functions

A cognitively driven weighted-entropy model for embedding semantic
  categories in hyperbolic geometry

Efficient Differentially Private Secure Aggregation for Federated
  Learning via Hardness of Learning with Errors

Variational autoencoders in the presence of low-dimensional data:
  landscape and implicit bias

Why Are You Weird? Infusing Interpretability in Isolation Forest for

Hypothesis Learning in Automated Experiment: Application to
  Combinatorial Materials Libraries

Sparse Interventions in Language Models with Differentiable Masking

Beyond Ads: Sequential Decision-Making Algorithms in Law and Public
  Policy

Seeking the Building Blocks of Visual Imagery and Creativity in a
  Cognitively Inspired Neural Network

Incorporating Measurement Error in Astronomical Object Classification

VL-Adapter: Parameter-Efficient Transfer Learning for
  Vision-and-Language Tasks

Physics-Informed Machine Learning for Optical Modes in Composites

Addressing Bias in Active Learning with Depth Uncertainty Networks... or
  Not

Automatic Multi-Class Cardiovascular Magnetic Resonance Image Quality
  Assessment using Unsupervised Domain Adaptation in Spatial and Frequency
  Domains

Nonlinear pile-up separation with LSTM neural networks for cryogenic
  particle detectors

Identifying Chern numbers of superconductors from local measurements

Robust factored principal component analysis for matrix-valued outlier
  accommodation and detection

Hformer: Hybrid CNN-Transformer for Fringe Order Prediction in Phase
  Unwrapping of Fringe Projection

FinRL-Meta: A Universe of Near-Real Market Environments for Data-Driven
  Deep Reinforcement Learning in Quantitative Finance

Adaptation through prediction: multisensory active inference torque
  control

  Identification Using Conditional Generative Adversarial Networks: A Simulated
  Crash Data Study

A Survey of Unsupervised Domain Adaptation for Visual Recognition

Data-driven modelling of nonlinear dynamics by barycentric coordinates
  and memory

Unsupervised machine learning approaches to the $q$-state Potts model

Generating Fluent Fact Checking Explanations with Unsupervised
  Post-Editing

Improving Surrogate Gradient Learning in Spiking Neural Networks via
  Regularization and Normalization

Computational bioacoustics with deep learning: a review and roadmap

PM-MMUT: Boosted Phone-Mask Data Augmentation using Multi-Modeling Unit
  Training for Phonetic-Reduction-Robust E2E Speech Recognition

Learning Semantic-Aligned Feature Representation for Text-based Person
  Search

A Case For Noisy Shallow Gate-Based Circuits In Quantum Machine Learning

Storage capacity of networks with discrete synapses and sparsely encoded
  memories

Testing the robustness of simulation-based gravitational-wave population
  inference

Optimal Rate Adaption in Federated Learning with Compressed

Hypernet-Ensemble Learning of Segmentation Probability for Medical Image
  Segmentation with Ambiguous Labels

Quaternion-Valued Convolutional Neural Network Applied for Acute
  Lymphoblastic Leukemia Diagnosis

Accelerating Deep Learning Classification with Error-controlled
  Approximate-key Caching

Spectrum Trading for Device-to-Device Communication In Cellular Networks
  using Incomplete Information Bandwidth-Auction Game

C$^2$-Rec: An Effective Consistency Constraint for Sequential

Learning Classical Readout Quantum PUFs based on single-qubit gates

Efficient Training of Volterra Series-Based Pre-distortion Filter Using

Lifelong Unsupervised Domain Adaptive Person Re-identification with
  Coordinated Anti-forgetting and Adaptation

Lifelong Hyper-Policy Optimization with Multiple Importance Sampling

Pedestrian Trajectory Prediction via Spatial Interaction Transformer
  Network

Utilizing Gaussian mixture models in all-sky searches for short-duration
  gravitational wave bursts

WECHSEL: Effective initialization of subword embeddings for
  cross-lingual transfer of monolingual language models

CR-FIQA: Face Image Quality Assessment by Learning Sample Relative
  Classifiability

An Introduction to Quantum Computing for Statisticians and Data

Active learning with MaskAL reduces annotation effort for training Mask
  R-CNN

Geometric Path Enumeration for Equivalence Verification of Neural
  Networks

Convergence proof for stochastic gradient descent in the training of
  deep neural networks with ReLU activation for constant target functions

Simple and Robust Loss Design for Multi-Label Learning with Missing
  Labels

Multitask Network for Respiration Rate Estimation -- A Practical

Extension of Convolutional Neural Network along Temporal and Vertical
  Directions for Precipitation Downscaling

Implications of Topological Imbalance for Representation Learning on
  Biomedical Knowledge Graphs

On the Choice of General Purpose Classifiers in Learned Bloom Filters:
  An Initial Analysis Within Basic Filters

HiClass: a Python library for local hierarchical classification
  compatible with scikit-learn

Orthogonal Group Synchronization with Incomplete Measurements: Error
  Bounds and Linear Convergence of the Generalized Power Method

Ensemble CNN Networks for GBM Tumors Segmentation using Multi-parametric
  MRI

Accurate computational prediction of core-electron binding energies in
  carbon-based materials: A machine-learning model combining density-functional
  theory and $\boldsymbol{GW}$

English2Gbe: A multilingual machine translation model for {Fon/Ewe}Gbe

Teaching quantum information technologies and a practical module for
  online and offline undergraduate students

MinkLoc3D-SI: 3D LiDAR place recognition with sparse convolutions,
  spherical coordinates, and intensity

Makeup216: Logo Recognition with Adversarial Attention Representations

Translating Human Mobility Forecasting through Natural Language

Human-Level Control through Directly-Trained Deep Spiking Q-Networks

Native Chinese Reader: A Dataset Towards Native-Level Chinese Machine

Multi-Modal Mutual Information Maximization: A Novel Approach for
  Unsupervised Deep Cross-Modal Hashing

CHILES VII: Deep Imaging for the CHILES project, a SKA prototype

Decoding High-level Imagined Speech using Attention-based Deep Neural
  Networks

gACSON software for automated segmentation and morphology analyses of
  myelinated axons in 3D electron microscopy

Machine Learning-based Prediction of Porosity for Concrete Containing
  Supplementary Cementitious Materials

Efficient Training of Spiking Neural Networks with Temporally-Truncated
  Local Backpropagation through Time

Differential EEG Characteristics during Working Memory Encoding and
  Re-encoding

Predicting User Code-Switching Level from Sociological and Psychological
  Profiles

Sequential Recommendation with Bidirectional Chronological Augmentation
  of Transformer

Machine Learning-Based Heart Disease Diagnosis: A Systematic Literature
  Review

Self-Paced Deep Regression Forests with Consideration of Ranking
  Fairness

Contextual Exploration Using a Linear Approximation Method Based on
  Satisficing

Semantically Contrastive Learning for Low-light Image Enhancement

Contact-Rich Manipulation of a Flexible Object based on Deep Predictive
  Learning using Vision and Tactility

Semi-Supervised Contrastive Learning for Remote Sensing: Identifying
  Ancient Urbanization in the South Central Andes

Autonomous Racing with Multiple Vehicles using a Parallelized
  Optimization with Safety Guarantee using Control Barrier Functions

Generate Point Clouds with Multiscale Details from Graph-Represented
  Structures

GM Score: Incorporating inter-class and intra-class generator diversity,
  discriminability of disentangled representation, and sample fidelity for
  evaluating GANs

Predicting Airbnb Rental Prices Using Multiple Feature Modalities

Stochastic differential equations for limiting description of UCB rule
  for Gaussian multi-armed bandits

Stacked Generative Machine Learning Models for Fast Approximations of
  Steady-State Navier-Stokes Equations

LC-FDNet: Learned Lossless Image Compression with Frequency
  Decomposition Network

How Good are Low-Rank Approximations in Gaussian Process Regression?

ISEEQ: Information Seeking Question Generation using Dynamic
  Meta-Information Retrieval and Knowledge Graphs

Data Collection and Quality Challenges in Deep Learning: A Data-Centric
  AI Perspective

CSI Feedback with Model-Driven Deep Learning of Massive MIMO Systems

Shaping Visual Representations with Attributes for Few-Shot Recognition

N-Cloth: Predicting 3D Cloth Deformation with Mesh-Based Networks

PartGlot: Learning Shape Part Segmentation from Language Reference Games

Local and Global Point Cloud Reconstruction for 3D Hand Pose Estimation

Sparse Structure Learning via Graph Neural Networks for Inductive
  Document Classification

Surfer100: Generating Surveys From Web Resources, Wikipedia-style

Learning Generalizable Vision-Tactile Robotic Grasping Strategy for
  Deformable Objects via Transformer

Dependency Learning for Legal Judgment Prediction with a Unified
  Text-to-Text Transformer

AMSER: Adaptive Multi-modal Sensing for Energy Efficient and Resilient
  eHealth Systems

Process Tomography on a 7-Qubit Quantum Processor via Tensor Network
  Contraction Path Finding

Efficient and Reliable Overlay Networks for Decentralized Federated
  Learning

Anomaly Crossing: A New Method for Video Anomaly Detection as
  Cross-domain Few-shot Learning

Contextualized Scene Imagination for Generative Commonsense Reasoning

Gamifying optimization: a Wasserstein distance-based analysis of human
  search

Reflective Metagraph Rewriting as a Foundation for an AGI "Language of
  Thought"

Quantifying and Understanding Adversarial Examples in Discrete Input
  Spaces

SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with

Sage: Leveraging ML to Diagnose Unpredictable Performance in Cloud
  Microservices

A Machine Learning Analysis of Impact of the Covid-19 Pandemic on
  Alcohol Consumption Habit Changes Among Healthcare Workers in the U.S

Boosting the Capability of Intelligent Vulnerability Detection by
  Training in a Human-Learning Manner

Formulating Event-based Image Reconstruction as a Linear Inverse Problem
  using Optical Flow

Improving Logical-Level Natural Language Generation with
  Topic-Conditioned Data Augmentation and Logical Form Generation

HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling
  Deep Network for Snapshot Compressive Imaging

Attention based Broadly Self-guided Network for Low light Image

Demystifying Developers' Issues in Distributed Training of Deep Learning
  Software

Visualising and Explaining Deep Learning Models for Speech Quality

Quantum kernels for real-world predictions based on electronic health
  records

Measuring Complexity of Learning Schemes Using Hessian-Schatten Total
  Variation

Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic
  Gates

Automatic differentiation approach for reconstructing spectral functions

Few-Shot Out-of-Domain Transfer Learning of Natural Language
  Explanations in a Label-Abundant Setup

Interpretable Feature Learning Framework for Smoking Behavior Detection

Secure Routine: A Routine-Based Algorithm for Drivers Identification

Learning Nigerian accent embeddings from speech: preliminary results
  based on SautiDB-Naija corpus

Hybrid Learning Aided Technology-Rich Instructional Tools -- A Case
  Study: Community College of Qatar

Improving Performance of Federated Learning based Medical Image Analysis
  in Non-IID Settings using Image Augmentation

GUNNEL: Guided Mixup Augmentation and Multi-View Fusion for Aquatic
  Animal Segmentation

Re-ranking With Constraints on Diversified Exposures for Homepage

An original model for multi-target learning of logical rules for

Nalin: Learning from Runtime Behavior to Find Name-Value Inconsistencies
  in Jupyter Notebooks

Multi-Agent Vulnerability Discovery for Autonomous Driving with Hazard
  Arbitration Reward

Few-shot Keypoint Detection with Uncertainty Learning for Unseen Species

A Game-Theoretical Self-Adaptation Framework for Securing
  Software-Intensive Systems

On the Heterogeneity of Independent Learning Dynamics in Zero-sum
  Stochastic Games

BIPS: Bi-modal Indoor Panorama Synthesis via Residual Depth-aided

Deep Translation Prior: Test-time Training for Photorealistic Style
  Transfer

Self-Supervised Modality-Aware Multiple Granularity Pre-Training for
  RGB-Infrared Person Re-Identification

CryptoEval: Evaluating the Risk of Cryptographic Misuses in Android Apps
  with Data-Flow Analysis

Semi-supervised teacher-student deep neural network for materials
  discovery

Communication-Efficient Federated Learning for Neural Machine

Stereoscopic Universal Perturbations across Different Architectures and
  Datasets

Controlled-rearing studies of newborn chicks and deep neural networks

Synthetic Map Generation to Provide Unlimited Training Data for
  Historical Map Text Detection

CHAMP: Coherent Hardware-Aware Magnitude Pruning of Integrated Photonic

Selecting Parallel In-domain Sentences for Neural Machine Translation
  Using Monolingual Texts

Unlocking the Power of Inline Floating-Point Operations on Programmable
  Switches

Convergence of Generalized Belief Propagation Algorithm on Graphs with
  Motifs

A Comparative Study on Robust Graph Neural Networks to Structural Noises

MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction
  Models in Healthcare

OstrichRL: A Musculoskeletal Ostrich Simulation to Study Bio-mechanical

GenMotion: Data-driven Motion Generators for Real-time Animation
  Synthesis

Towards Autonomous Satellite Communications: An AI-based Framework to
  Address System-level Challenges

Deterministic and Discriminative Imitation (D2-Imitation): Revisiting
  Adversarial Imitation for Sample Efficiency

FedSoft: Soft Clustered Federated Learning with Proximal Local Updating

U-shaped Transformer with Frequency-Band Aware Attention for Speech

Technical Language Supervision for Intelligent Fault Diagnosis in
  Process Industry

Behavior measures are predicted by how information is encoded in an
  individual's brain

Spatial Graph Convolutional Neural Network via Structured Subdomain
  Adaptation and Domain Adversarial Learning for Bearing Fault Diagnosis

On Automatic Data Augmentation for 3D Point Cloud Classification

Retrosynthetic Planning with Experience-Guided Monte Carlo Tree Search

Towards automated optimisation of residual convolutional neural networks
  for electrocardiogram classification

Learn from Human Teams: a Probabilistic Solution to Real-Time
  Collaborative Robot Handling with Dynamic Gesture Commands

Control-Tutored Reinforcement Learning: Towards the Integration of
  Data-Driven and Model-Based Control

Improving the Transferability of Adversarial Examples with
  Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting

Privacy Amplification via Shuffling for Linear Contextual Bandits

Determinantal point processes based on orthogonal polynomials for
  sampling minibatches in SGD

Towards the Internet of Behaviors in airports with a fog-to-cloud
  approach

Formalising the Foundations of Discrete Reinforcement Learning in
  Isabelle/HOL

Estimation of Physical Activity Level and Ambient Condition Thresholds
  for Respiratory Health using Smartphone Sensors

Active Learning of Abstract System Models from Traces using Model
  Checking [Extended]

Interactive Visualization and Representation Analysis Applied to Glacier

CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic

Learning Efficient Policies for Picking Entangled Wire Harnesses: A
  Solution to Industrial Bin Picking

SPDCinv: Inverse Quantum-Optical Design of High-Dimensional Qudits

Server-Side Local Gradient Averaging and Learning Rate Acceleration for
  Scalable Split Learning

Automated Customization of On-Thing Inference for Quality-of-Experience

ElegantRL-Podracer: Scalable and Elastic Library for Cloud-Native Deep

Show and Write: Entity-aware Article Generation with Image Information

Leaping Through Time with Gradient-based Adaptation for Recommendation

An Empirical Study on Relation Extraction in the Biomedical Domain

Smooth-Swap: A Simple Enhancement for Face-Swapping with Smoothness

COMPOSER: Compositional Reasoning of Group Activity in Videos with
  Keypoint-Only Modality

Self-supervised Spatiotemporal Representation Learning by Exploiting
  Video Continuity

Online Information-Aware Motion Planning with Inertial Parameter
  Learning for Robotic Free-Flyers

Multimodal neural networks better explain multivoxel patterns in the
  hippocampus

SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings

Directed Speech Separation for Automatic Speech Recognition of Long Form
  Conversational Speech

MANA-2.0: A Future-Proof Design for Transparent Checkpointing of MPI at
  Scale

Short and Long Range Relation Based Spatio-Temporal Transformer for
  Micro-Expression Recognition

Revisiting the Boundary between ASR and NLU in the Age of Conversational
  Dialog Systems

Learning distributed channel access policies for networked estimation:
  data-driven optimization in the mean-field regime

Revisiting Consistency Regularization for Semi-Supervised Learning

Building a great multi-lingual teacher with sparsely-gated mixture of
  experts for speech recognition

Encoding priors in the brain: a reinforcement learning model for mouse
  decision making

The Co-Designed Post-Pandemic University: A Participatory and Continual
  Learning Approach for the Future of Work

AtteSTNet -- An attention and subword tokenization based approach for
  code-switched text hate speech detection

LSH methods for data deduplication in a Wikipedia artificial dataset

Computer-Assisted Creation of Boolean Search Rules for Text
  Classification in the Legal Domain

MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From
  Crisis-Related Microblogs

Quantum Architecture Search via Continual Reinforcement Learning

The Importance of Being Interpretable: Toward An Understandable Machine
  Learning Encoder for Galaxy Cluster Cosmology

Deep Learning based Framework for Automatic Diagnosis of Glaucoma based
  on analysis of Focal Notching in the Optic Nerve Head

A Simple and Efficient Sampling-based Algorithm for General Reachability
  Analysis

What does a cosmological experiment really measure? Covariant posterior
  decomposition with normalizing flows

MTV: Visual Analytics for Detecting, Investigating, and Annotating
  Anomalies in Multivariate Time Series

Deep Forest: Neural Network reconstruction of intergalactic medium
  temperature

Malware Classification Using Static Disassembly and Machine Learning

Synchronous Unsupervised STDP Learning with Stochastic STT-MRAM
  Switching

Sampling from Discrete Energy-Based Models with Quality/Efficiency
  Trade-offs

A Framework for Fairness: A Systematic Review of Existing Fair AI
  Solutions

VUT: Versatile UI Transformer for Multi-Modal Multi-Task User Interface
  Modeling

Learning-based personal speech enhancement for teleconferencing by
  exploiting spatial-spectral features

Concept Representation Learning with Contrastive Self-Supervised
  Learning

Neural Multi-Quantile Forecasting for Optimal Inventory Management

Robust Information Retrieval for False Claims with Distracting Entities
  In Fact Extraction and Verification

An Ensemble 1D-CNN-LSTM-GRU Model with Data Augmentation for Speech

Deep Odometry Systems on Edge with EKF-LoRa Backend for Real-Time
  Positioning in Adverse Environment

DPU: DAG Processing Unit for Irregular Graphs with Precision-Scalable
  Posit Arithmetic in 28nm

Artificial Intellgence -- Application in Life Sciences and Beyond. The
  Upper Rhine Artificial Intelligence Symposium UR-AI 2021

Roominoes: Generating Novel 3D Floor Plans From Existing 3D Rooms

Fast and scalable neuroevolution deep learning architecture search for
  multivariate anomaly detection

DisCo: Effective Knowledge Distillation For Contrastive Learning of
  Sentence Embeddings

Learning Representations with Contrastive Self-Supervised Learning for
  Histopathology Applications

Preemptive Image Robustification for Protecting Users against
  Man-in-the-Middle Adversarial Attacks

On Fair Selection in the Presence of Implicit and Differential Variance

Reward-Based Environment States for Robot Manipulation Policy Learning

How to Avoid Trivial Solutions in Physics-Informed Neural Networks

Eigenspace Restructuring: a Principle of Space and Frequency in Neural
  Networks

Interaction-Aware Sensitivity Analysis for Aerodynamic Optimization
  Results using Information Theory

Comparison of Markov chains via weak Poincaré inequalities with
  application to pseudo-marginal MCMC

Faster Single-loop Algorithms for Minimax Optimization without Strong
  Concavity

Marvin: an Innovative Omni-Directional Robotic Assistant for Domestic

Automated tabulation of clinical trial results: A joint entity and
  relation extraction approach with transformer-based language representations

A Review of Indoor Millimeter Wave Device-based Localization and
  Device-free Sensing Technologies and Applications

ST-MTL: Spatio-Temporal Multitask Learning Model to Predict Scanpath
  While Tracking Instruments in Robotic Surgery

Unified field theoretical approach to deep and recurrent neuronal
  networks

Copy, Right? A Testing Framework for Copyright Protection of Deep

Unified Multimodal Pre-training and Prompt-based Tuning for
  Vision-Language Understanding and Generation

Discrete neural representations for explainable anomaly detection

Towards autonomous artificial agents with an active self: modeling sense
  of control in situated action

On torque computation in electric machine simulation by harmonic mortar
  methods

PACMAN: PAC-style bounds accounting for the Mismatch between Accuracy
  and Negative log-loss

Improving Productivity through Corporate Hackathons: A Multiple Case
  Study of Two Large-scale Agile Organizations

Connection between water's dynamical and structural properties: insights
  from ab initio simulations

A Validation Tool for Designing Reinforcement Learning Environments

A note on knowledge structures delineated by fuzzy skill multimaps

Graph-based Generative Face Anonymisation with Pose Preservation

How Private Is Your RL Policy? An Inverse RL Based Analysis Framework

Camera Condition Monitoring and Readjustment by means of Noise and Blur

Structure-Preserving Learning Using Gaussian Processes and Variational
  Integrators

Beyond Parallel Pancakes: Quasi-Polynomial Time Guarantees for
  Non-Spherical Gaussian Mixtures

Edge-Enhanced Dual Discriminator Generative Adversarial Network for Fast
  MRI with Parallel Imaging Using Multi-view Information

Extreme vorticity events in turbulent Rayleigh-Bénard convection from
  stereoscopic measurements and reservoir computing

A Reinforcement Learning-based Adaptive Control Model for Future Street
  Planning, An Algorithm and A Case Study

Predicting Physical World Destinations for Commands Given to
  Self-Driving Cars

Neural-Network Assisted Study of Nitrogen Atom Dynamics on Amorphous
  Solid Water -- II. Diffusion

Batch Label Inference and Replacement Attacks in Black-Boxed Vertical

The Large Labelled Logo Dataset (L3D): A Multipurpose and Hand-Labelled
  Continuously Growing Dataset

Towards Full-to-Empty Room Generation with Structure-Aware Feature
  Encoding and Soft Semantic Region-Adaptive Normalization

Layer-Parallel Training of Residual Networks with Auxiliary-Variable
  Networks

Subspace Decomposition based DNN algorithm for elliptic type multi-scale
  PDEs

Cross-Modal Transferable Adversarial Attacks from Images to Videos

A recurrent neural network approach for remaining useful life prediction
  utilizing a novel trend features construction method

Sample Average Approximation for Stochastic Optimization with Dependent
  Data: Performance Guarantees and Tractability

Sketching as a Tool for Understanding and Accelerating Self-attention
  for Long Sequences

LUNAR: Unifying Local Outlier Detection Methods via Graph Neural
  Networks

Enhancing Multi-Scale Implicit Learning in Image Super-Resolution with
  Integrated Positional Encoding

Blockwise Sequential Model Learning for Partially Observable

Tradeoffs Between Contrastive and Supervised Learning: An Empirical
  Study

Uncertainty, Edge, and Reverse-Attention Guided Generative Adversarial
  Network for Automatic Building Detection in Remotely Sensed Images

Efficient training of artificial neural network surrogates for a
  collisional-radiative model through adaptive parameter space sampling

PyTorch Connectomics: A Scalable and Flexible Segmentation Framework for
  EM Connectomics

PMFL: Partial Meta-Federated Learning for heterogeneous tasks and its
  applications on real-world medical records

Building Autocorrelation-Aware Representations for Fine-Scale
  Spatiotemporal Prediction

Robustness Certificates for Implicit Neural Networks: A Mixed Monotone
  Contractive Approach

Are We There Yet? Timing and Floating-Point Attacks on Differential
  Privacy Systems

Representing 3D Shapes with Probabilistic Directed Distance Fields

Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on
  Real-World Robots

IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor
  Scenes

LCTR: On Awakening the Local Continuity of Transformer for Weakly

SmartCon: Deep Probabilistic Learning Based Intelligent
  Link-Configuration in Narrowband-IoT Towards 5G and B5G

RamBoAttack: A Robust Query Efficient Deep Neural Network Decision
  Exploit

Simulation-Based Inference of Strong Gravitational Lensing Parameters

Handling missing data when estimating causal effects with Targeted
  Maximum Likelihood Estimation

From the simplex to the sphere: Faster constrained optimization using
  the Hadamard parametrization

The Many Faces of Anger: A Multicultural Video Dataset of Negative
  Emotions in the Wild (MFA-Wild)

Using Machine Learning to Predict Air Quality Index in New Delhi

Addressing Deep Learning Model Uncertainty in Long-Range Climate
  Forecasting with Late Fusion

MAGMA -- Multimodal Augmentation of Generative Models through
  Adapter-based Finetuning

Error-Aware Imitation Learning from Teleoperation Data for Mobile

On the Relation between Prediction and Imputation Accuracy under Missing
  Covariates

An Experimental Design Perspective on Model-Based Reinforcement Learning

On multivariate randomized classification trees: $l_0$-based sparsity,
  VC~dimension and decomposition methods

Transfer learning using deep neural networks for Ear Presentation Attack
  Detection: New Database for PAD

KartalOl: Transfer learning using deep neural network for iris
  segmentation and localization: New dataset for iris segmentation

The Fundamental Limits of Interval Arithmetic for Neural Networks

Specificity-Preserving Federated Learning for MR Image Reconstruction

Spinning Language Models: Risks of Propaganda-As-A-Service and
  Countermeasures

MantissaCam: Learning Snapshot High-dynamic-range Imaging with
  Perceptually-based In-pixel Irradiance Encoding

CLIP2StyleGAN: Unsupervised Extraction of StyleGAN Edit Directions

Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud
  Learning

Context-aware Health Event Prediction via Transition Functions on
  Dynamic Disease Graphs

Contextualized Spatio-Temporal Contrastive Learning with

Interactive Protocols for Classically-Verifiable Quantum Advantage

Exploring the Equivalence of Siamese Self-Supervised Learning via A
  Unified Gradient Framework

CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields

PTR: A Benchmark for Part-based Conceptual, Relational, and Physical
  Reasoning

PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures

Spatio-temporal Relation Modeling for Few-shot Action Recognition

Multimodal Conditional Image Synthesis with Product-of-Experts GANs

Assistive Tele-op: Leveraging Transformers to Collect Robotic Task

Neural Descriptor Fields: SE(3)-Equivariant Object Representations for

BLT: Bidirectional Layout Transformer for Controllable Layout Generation

Regressing bubble cluster dynamics as a disordered many-body system

Provable Continual Learning via Sketched Jacobian Approximations

A Survey on Echo Chambers on Social Media: Description, Detection and
  Mitigation

Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic
  Prior

A Novel Tropical Geometry-based Interpretable Machine Learning Method:
  Application in Prognosis of Advanced Heart Failure

A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation

Learning Transferable Motor Skills with Hierarchical Latent Mixture
  Policies

Deep Learning based Differential Distinguisher for Lightweight Block
  Ciphers

Opinion Extraction as A Structured Sentiment Analysis using Transformers

End-to-End Learning of Joint Geometric and Probabilistic Constellation
  Shaping

Reconstructing partonic kinematics at colliders with Machine Learning

Domain Adaptation and Autoencoder Based Unsupervised Speech Enhancement

Millimeter Wave Localization with Imperfect Training Data using Shallow

Exploring Event-driven Dynamic Context for Accident Scene Segmentation

Mutual Adversarial Training: Learning together is better than going
  alone

Wikidated 1.0: An Evolving Knowledge Graph Dataset of Wikidata's
  Revision History

The Peril of Popular Deep Learning Uncertainty Estimation Methods

Few-Shot NLU with Vector Projection Distance and Abstract Triangular CRF

Annotation-efficient cancer detection with report-guided lesion
  annotation for deep learning-based prostate cancer detection in bpMRI

Robust Weakly Supervised Learning for COVID-19 Recognition Using
  Multi-Center CT Images

A fully-differentiable compressible high-order computational fluid
  dynamics solver

Personalized musically induced emotions of not-so-popular Colombian
  music

CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and

Model-Agnostic Hybrid Numerical Weather Prediction and Machine Learning
  Paradigm for Solar Forecasting in the Tropics

mechanoChemML: A software library for machine learning in computational
  materials physics

Anomaly detection in high-energy physics using a quantum autoencoder

Machine Learning for Utility Prediction in Argument-Based Computational
  Persuasion

Applying machine learning to the Calabi-Yau orientifolds with string
  vacua

PARL: Enhancing Diversity of Ensemble Networks to Resist Adversarial
  Attacks via Pairwise Adversarially Robust Loss Function

Automated Side Channel Analysis of Media Software with Manifold Learning

A Simple but Effective Bidirectional Framework for Relational Triple

A Training Framework for Stereo-Aware Speech Enhancement using Deep

DVHN: A Deep Hashing Framework for Large-scale Vehicle Re-identification

Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and
  Treating CNN Classifiers

A More Stable Accelerated Gradient Method Inspired by Continuous-Time

A search for correlated low-energy electron antineutrinos in KamLAND
  with gamma-ray bursts

PRA-Net: Point Relation-Aware Network for 3D Point Cloud Analysis

Semi-Supervised Medical Image Segmentation via Cross Teaching between
  CNN and Transformer

Forecast Evaluation in Large Cross-Sections of Realized Volatility

Evaluating saliency methods on artificial data with different background
  types

KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge
  Graph Embeddings

3D Medical Point Transformer: Introducing Convolution to Attention
  Networks for Medical Point Cloud Analysis

You Can Wash Better: Daily Handwashing Assessment with Smartwatches

A New Measure of Model Redundancy for Compressed Convolutional Neural
  Networks

Obtaining Calibrated Probabilities with Personalized Ranking Models

Avoiding C-hacking when evaluating survival distribution predictions
  with discrimination measures

Multimodal Pre-Training Model for Sequence-based Prediction of
  Protein-Protein Interaction

Next Steps: Learning a Disentangled Gait Representation for Versatile
  Quadruped Locomotion

Multi-objective simulation optimization of the adhesive bonding process
  of materials

Combining Textual Features for the Detection of Hateful and Offensive
  Language

Detecting potentially harmful and protective suicide-related content on
  twitter: A machine learning approach

New simulation software technologies at the LHCb Experiment at CERN

Regularized Modal Regression on Markov-dependent Observations: A
  Theoretical Assessment

XERUS: An open-source tool for quick XRD phase identification and
  refinement automation

3D-VField: Adversarial Augmentation of Point Clouds for Domain
  Generalization in 3D Object Detection

DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion
  Model

Cooperative Multi-Agent Reinforcement Learning with Hypergraph

Does Redundancy in AI Perception Systems Help to Test for Super-Human
  Automated Driving Performance?

High-Dimensional Stock Portfolio Trading with Deep Reinforcement
  Learning

Modelling Lips-State Detection Using CNN for Non-Verbal Communications

LipSound2: Self-Supervised Pre-Training for Lip-to-Speech Reconstruction
  and Lip Reading

Superpixel-Based Building Damage Detection from Post-earthquake Very
  High Resolution Imagery Using Deep Neural Networks

Learning multiple gaits of quadruped robot using hierarchical

Asynchronous Semi-Decentralized Federated Edge Learning for

From Good to Best: Two-Stage Training for Cross-lingual Machine Reading

New Tight Relaxations of Rank Minimization for Multi-Task Learning

Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class

Reducing Catastrophic Forgetting in Self Organizing Maps with
  Internally-Induced Generative Replay

One-dimensional Deep Low-rank and Sparse Network for Accelerated MRI

Advancing Deep Residual Learning by Solving the Crux of Degradation in

Learning Deep Context-Sensitive Decomposition for Low-Light Image

Amicable Aid: Turning Adversarial Attack to Benefit Classification

Learning with Nested Scene Modeling and Cooperative Architecture Search
  for Low-Light Vision

Multiple lattice instabilities and complex ground state in
  Cs$_2$AgBiBr$_6$

DR3: Value-Based Deep Reinforcement Learning Requires Explicit

Online Adaptation of Neural Network Models by Modified Extended Kalman
  Filter for Customizable and Transferable Driving Behavior Prediction

Ymir: A Supervised Ensemble Framework for Multivariate Time Series

Explainable AI for B5G/6G: Technical Aspects, Use Cases, and Research

Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models
  for Inverse Problems through Stochastic Contraction

Nonparametric inference of stochastic differential equations based on
  the relative entropy rate

Learning Generalizable Multi-Lane Mixed-Autonomy Behaviors in Single
  Lane Representations of Traffic

CWS-PResUNet: Music Source Separation with Channel-wise Subband
  Phase-aware ResUNet

Trajectory-Constrained Deep Latent Visual Attention for Improved Local
  Planning in Presence of Heterogeneous Terrain

Clairvoyance: Intelligent Route Planning for Electric Buses Based on
  Urban Big Data

Estimating entropy production in a stochastic system with odd-parity
  variables

SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for
  Spatial-Aware Visual Representations

DualFormer: Local-Global Stratified Transformer for Efficient Video

Densifying Sparse Representations for Passage Retrieval by
  Representational Slicing

Style Mixing and Patchwise Prototypical Matching for One-Shot
  Unsupervised Domain Adaptive Semantic Segmentation

A Fully Single Loop Algorithm for Bilevel Optimization without Hessian
  Inverse

BACON: Band-limited Coordinate Networks for Multiscale Scene

Autoregressive Quantile Flows for Predictive Uncertainty Estimation

Safe Autonomous Navigation for Systems with Learned SE(3) Hamiltonian
  Dynamics

Learning Auxiliary Monocular Contexts Helps Monocular 3D Object
  Detection

Bayesian Semiparametric Longitudinal Inverse-Probit Mixed Models for
  Category Learning

Calibrated Uncertainty Estimation Improves Bayesian Optimization

NICE-Beam: Neural Integrated Covariance Estimators for Time-Varying
  Beamformers

Gaussian Process Constraint Learning for Scalable Chance-Constrained
  Motion Planning from Demonstrations

Enhancing Food Intake Tracking in Long-Term Care with Automated Food
  Imaging and Nutrient Intake Tracking (AFINI-T) Technology

Constrained Mean Shift Using Distant Yet Related Neighbors for

Prediction of Adverse Biological Effects of Chemicals Using Knowledge

Regularization methods for the short-term forecasting of the Italian
  electric load

Variational Regularization in Inverse Problems and Machine Learning

The perils of being unhinged: On the accuracy of classifiers minimizing
  a noise-robust convex loss

MASTAF: A Model-Agnostic Spatio-Temporal Attention Fusion Network for
  Few-shot Video Classification

Gaussian Random Number Generator with Reconfigurable Mean and Variance
  using Stochastic Magnetic Tunnel Junctions

Merging Subject Matter Expertise and Deep Convolutional Neural Network
  for State-Based Online Machine-Part Interaction Classification

Ambiguous Dynamic Treatment Regimes: A Reinforcement Learning Approach

CoSSL: Co-Learning of Representation and Classifier for Imbalanced

Whose Ground Truth? Accounting for Individual and Collective Identities
  Underlying Dataset Annotation

PATO: Producibility-Aware Topology Optimization using Deep Learning for
  Metal Additive Manufacturing

Prompt-based Zero-shot Relation Classification with Semantic Knowledge

Exploring Temporal Granularity in Self-Supervised Video Representation
  Learning

Automated experiment in 4D-STEM: exploring emergent physics and
  structural behaviors

Prompting Visual-Language Models for Efficient Video Understanding

Optimistic Rates: A Unifying Theory for Interpolation Learning and
  Regularization in Linear Regression

Revisiting Contrastive Learning through the Lens of Neighborhood
  Component Analysis: an Integrated Framework

Self-Supervised Speaker Verification with Simple Siamese Network and
  Self-Supervised Regularization

Greedy-based Value Representation for Optimal Coordination in
  Multi-agent Reinforcement Learning

MLP Architectures for Vision-and-Language Modeling: An Empirical Study

Everything at Once -- Multi-modal Fusion Transformer for Video Retrieval

Autoencoder-based Communications with Reconfigurable Intelligent
  Surfaces

Improving language models by retrieving from trillions of tokens

Training Robust Zero-Shot Voice Conversion Models with Self-supervised
  Features

SoK: Vehicle Orientation Representations for Deep Rotation Estimation

Matching for causal effects via multimarginal unbalanced optimal
  transport

Adaptive R-Peak Detection on Wearable ECG Sensors for High-Intensity
  Exercise

Semantic TrueLearn: Using Semantic Knowledge Graphs in Recommendation
  Systems

Generalization Error Bounds for Iterative Recovery Algorithms Unfolded
  as Neural Networks

COSMIC: fast closed-form identification from large-scale data for LTV
  systems

Digital Twin of Electrical Tomography for Quantitative Multiphase Flow
  Imaging

Burn After Reading: Online Adaptation for Cross-domain Streaming Data

Does Structure Matter? Leveraging Data-to-Text Generation for Answering
  Complex Information Needs

Estimation in Rotationally Invariant Generalized Linear Models via

Suboptimal and trait-like reinforcement learning strategies correlate
  with midbrain encoding of prediction errors

A cross-domain recommender system using deep coupled autoencoders

Deep Learning and Mathematical Intuition: A Review of (Davies et al.
  2021)

Contrastive Learning with Large Memory Bank and Negative Embedding
  Subtraction for Accurate Copy Detection

Deep Q-Learning Market Makers in a Multi-Agent Simulated Stock Market

SCR: Training Graph Neural Networks with Consistency Regularization

A systematic approach to random data augmentation on graph neural
  networks

Geometry-Guided Progressive NeRF for Generalizable and Efficient Neural
  Human Rendering

Toward Open-World Electroencephalogram Decoding Via Deep Learning: A
  Comprehensive Survey

GCA-Net : Utilizing Gated Context Attention for Improving Image Forgery
  Localization and Detection

Identification of Twitter Bots Based on an Explainable Machine Learning
  Framework: The US 2020 Elections Case Study

A Hierarchical Spatio-Temporal Graph Convolutional Neural Network for
  Anomaly Detection in Videos

Accoustate: Auto-annotation of IMU-generated Activity Signatures under
  Smart Infrastructure

FastSGD: A Fast Compressed SGD Framework for Distributed Machine
  Learning

Non parametric estimation of causal populations in a counterfactual
  scenario

TempAMLSI : Temporal Action Model Learning based on Grammar Induction

Radar Occupancy Prediction with Lidar Supervision while Preserving
  Long-Range Sensing and Penetrating Capabilities

On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating
  Graph Representations

Daily peak electrical load forecasting with a multi-resolution approach

DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG
  Signals

Forecasting Brain Activity Based on Models of Spatio-Temporal Brain
  Dynamics: A Comparison of Graph Neural Network Architectures

Artificial Intelligence Powered Mobile Networks: From Cognition to
  Decision

Efficient Batch Homomorphic Encryption for Vertically Federated XGBoost

FRETting about Requirements: Formalised Requirements for an Aircraft
  Engine Controller

Hybrid Data-driven Framework for Shale Gas Production Performance
  Analysis via Game Theory, Machine Learning and Optimization Approaches

Scalable and Decentralized Algorithms for Anomaly Detection via
  Learning-Based Controlled Sensing

Towards automation of threat modeling based on a semantic model of
  attack patterns and weaknesses

A novel multi-view deep learning approach for BI-RADS and density
  assessment of mammograms

Progressive Multi-stage Interactive Training in Mobile Network for
  Fine-grained Recognition

Learning over All Stabilizing Nonlinear Controllers for a
  Partially-Observed Linear System

Specializing Versatile Skill Libraries using Local Mixture of Experts

Learning music audio representations via weak language supervision

$\boldsymbolγ$-Net: Superresolving SAR Tomographic Inversion via

A comparison of spectral reconstruction methods applied to non-zero
  temperature NRQCD meson correlation functions

VIRT: Improving Representation-based Models for Text Matching through
  Virtual Interaction

Learn2Reg: comprehensive multi-task medical image registration
  challenge, dataset and evaluation in the era of deep learning

Learnable Faster Kernel-PCA for Nonlinear Fault Detection: Deep
  Autoencoder-Based Realization

Transformer-Based Approach for Joint Handwriting and Named Entity
  Recognition in Historical documents

Pretrained Cost Model for Distributed Constraint Optimization Problems

Matrix Factor Analysis: From Least Squares to Iterative Projection

Label-free virtual HER2 immunohistochemical staining of breast tissue

One-Step Abductive Multi-Target Learning with Diverse Noisy Label
  Samples

Boosting Contrastive Learning with Relation Knowledge Distillation

Shortest Paths in Graphs with Matrix-Valued Edges: Concepts, Algorithm
  and Application to 3D Multi-Shape Analysis

Symmetry Perception by Deep Networks: Inadequacy of Feed-Forward
  Architectures and Improvements with Recurrent Connections

A Review for Deep Reinforcement Learning in Atari:Benchmarks,
  Challenges, and Solutions

A Dynamic Residual Self-Attention Network for Lightweight Single Image

Contrastive Instruction-Trajectory Learning for Vision-Language

Joint Global and Local Hierarchical Priors for Learned Image Compression

FreeTalky: Don't Be Afraid! Conversations Made Easier by a Humanoid
  Robot using Persona-based Dialogue

ShinRL: A Library for Evaluating RL Algorithms from Theoretical and
  Practical Perspectives

Fully Context-Aware Image Inpainting with a Learned Semantic Pyramid

A hypothesis-free bridging of disease dynamics and non-pharmaceutical
  policies

Learning to Select the Next Reasonable Mention for Entity Linking

Learning Linear Models Using Distributed Iterative Hessian Sketching

Uncovering the Local Hidden Community Structure in Social Networks

Enhancing Column Generation by a Machine-Learning-Based Pricing
  Heuristic for Graph Coloring

Translating neutron star observations to nuclear symmetry energy via

SASG: Sparse Communication with Adaptive Aggregated Stochastic Gradients
  for Distributed Learning

Improving Knowledge Graph Representation Learning by Structure
  Contextual Pre-training

Hyper-parameter optimization based on soft actor critic and hierarchical
  mixture regularization

Learning to Localize, Grasp, and Hand Over Unmodified Surgical Needles

DiPS: Differentiable Policy for Sketching in Recommender Systems

GreenPCO: An Unsupervised Lightweight Point Cloud Odometry Method

Vision-Cloud Data Fusion for ADAS: A Lane Change Prediction Case Study

A Transferable Approach for Partitioning Machine Learning Models on
  Multi-Chip-Modules

A QoT Estimation Method using EGN-assisted Machine Learning for Network
  Planning Applications

DeepDiagnosis: Automatically Diagnosing Faults and Recommending
  Actionable Fixes in Deep Learning Programs

Relating transformers to models and neural representations of the
  hippocampal formation

Estimating Quality of Transmission in a Live Production Network using

Accelerating Understanding of Scientific Experiments with End to End
  Symbolic Regression

DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover's Distance
  Improves Out-Of-Distribution Face Identification

Unsupervised Representation Learning via Neural Activation Coding

A deep learning model for data-driven discovery of functional
  connectivity

Auxiliary Learning for Self-Supervised Video Representation via
  Similarity-based Knowledge Distillation

Data-aided Sensing where Communication and Sensing Meet: An Introduction

SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning

Nuclei Segmentation in Histopathology Images using Deep Learning with
  Local and Global Views

Stabilized Direct Learning for Efficient Estimation of Individualized
  Treatment Rules

Tailored neural networks for learning optimal value functions in MPC

Continuous Measurement Boosted Adiabatic Quantum Thermal Machines

Collaborative Learning over Wireless Networks: An Introductory Overview

Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural
  Networks

STC-mix: Space, Time, Channel mixing for Self-supervised Video

ViewCLR: Learning Self-supervised Video Representation for Unseen

Hypergraph Co-Optimal Transport: Metric and Categorical Properties

MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection

Gradient and Projection Free Distributed Online Min-Max Resource

Differentiable Gaussianization Layers for Inverse Problems Regularized
  by Deep Generative Models

Policy Search for Model Predictive Control with Application to Agile
  Drone Flight

A Survey on Intrinsic Images: Delving Deep Into Lambert and Beyond

Augment & Valuate : A Data Enhancement Pipeline for Data-Centric AI

Attention-Based Model and Deep Reinforcement Learning for Distribution
  of Event Processing Tasks

BT-Unet: A self-supervised learning framework for biomedical image
  segmentation using Barlow Twins with U-Net models

Determination of impact parameter in high-energy heavy-ion collisions
  via deep learning

On Baker-Gill-Solovay Oracle Turing Machines and Relativization Barrier

A Deep Learning Driven Algorithmic Pipeline for Autonomous Navigation in
  Row-Based Crops

Accurate parameter estimation using scan-specific unsupervised deep
  learning for relaxometry and MR fingerprinting

A Contrastive Distillation Approach for Incremental Semantic
  Segmentation in Aerial Images

Disentangled Counterfactual Recurrent Networks for Treatment Effect
  Inference over Time

The Partially Observable Asynchronous Multi-Agent Cooperation Challenge

raceBERT -- A Transformer-based Model for Predicting Race and Ethnicity
  from Names

A graph representation based on fluid diffusion model for data analysis:
  theoretical aspects and enhanced community detection

Learning nonlinear feedforward: a Gaussian Process Approach Applied to a
  Printer with Friction

Suppressing Static Visual Cues via Normalizing Flows for Self-Supervised
  Video Representation Learning

PTR-PPO: Proximal Policy Optimization with Prioritized Trajectory Replay

Variance-Aware Weight Initialization for Point Convolutional Neural
  Networks

On the Effectiveness of Mode Exploration in Bayesian Model Averaging for

Creating Multimodal Interactive Agents with Imitation and

Bridging the Model-Reality Gap with Lipschitz Network Adaptation

A Continuous-time Stochastic Gradient Descent Method for Continuous Data

Tell me why! Explanations support learning relational and causal
  structure

Wild ToFu: Improving Range and Quality of Indirect Time-of-Flight Depth
  with RGB Fusion in Challenging Environments

Interpolating between BSDEs and PINNs -- deep learning for elliptic and
  parabolic boundary value problems

Embedding Gradient-based Optimization in Image Registration Networks

Gaussian map predictions for 3D surface feature localisation and
  counting

Adaptive Mimic: Deep Reinforcement Learning of Parameterized Bipedal
  Walking from Infeasible References

Towards Modeling and Resolving Singular Parameter Spaces using
  Stratifolds

SalFBNet: Learning Pseudo-Saliency Distribution via Feedback

Flexible Networks for Learning Physical Dynamics of Deformable Objects

Critical assessment of machine-learned repulsive potentials for the
  Density Functional based Tight-Binding method: a case study for pure silicon

Low-rank Tensor Decomposition for Compression of Convolutional Neural
  Networks Using Funnel Regularization

Domain Generalization via Progressive Layer-wise and Channel-wise
  Dropout

Cross-domain User Preference Learning for Cold-start Recommendation

A generalization gap estimation for overparameterized models via the
  Langevin functional variance

BlockGC: A Joint Learning Framework for Account Identity Inference on
  Blockchain with Graph Contrast

Understanding Square Loss in Training Overparametrized Neural Network

Activation to Saliency: Forming High-Quality Labels for Completely
  Unsupervised Salient Object Detection

Regularity Learning via Explicit Distribution Modeling for Skeletal
  Video Anomaly Detection

CCasGNN: Collaborative Cascade Prediction Based on Graph Neural Networks

QKSA: Quantum Knowledge Seeking Agent -- resource-optimized
  reinforcement learning using quantum process tomography

Generation of Non-Deterministic Synthetic Face Datasets Guided by
  Identity Priors

SSAT: A Symmetric Semantic-Aware Transformer Network for Makeup Transfer
  and Removal

Optimal degree of smoothness to exploit in nonparametric regressions

Parsing with Pretrained Language Models, Multiple Datasets, and Dataset

Permutation Equivariant Generative Adversarial Networks for Graphs

Saliency Diversified Deep Ensemble for Robustness to Adversaries

Hybrid Controlled User Association and Resource Management for
  Energy-Efficient Green RANs with Limited Fronthaul

Deep learning in automated ultrasonic NDE -- developments, axioms and
  opportunities

Handwritten Mathematical Expression Recognition via Attention
  Aggregation based Bi-directional Mutual Learning

State-of-the-art predictive and prescriptive analytics for IEEE CIS 3rd
  Technical Challenge

Contrastive Learning from Extremely Augmented Skeleton Sequences for
  Self-supervised Action Recognition

TCGL: Temporal Contrastive Graph for Self-supervised Video

JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical

Pragmatic Implementation of Reinforcement Algorithms For Path Finding On
  Raspberry Pi

Question Answering Survey: Directions, Challenges, Datasets, Evaluation
  Matrices

Neural Networks for Infectious Diseases Detection: Prospects and

Unsupervised Learning of Compositional Scene Representations from
  Multiple Unspecified Viewpoints

More layers! End-to-end regression and uncertainty on tabular data with

Radio Galaxy Zoo: Giant Radio Galaxy Classification using Multi-Domain

CMA-CLIP: Cross-Modality Attention CLIP for Image-Text Classification

Graph Neural Controlled Differential Equations for Traffic Forecasting

Combining optimal control and learning for autonomous aerial navigation
  in novel indoor environments

ADD: Frequency Attention and Multi-View based Knowledge Distillation to
  Detect Low-Quality Compressed Deepfake Images

Bootstrapping ViTs: Towards Liberating Vision Transformers from

Optimal Scheduling of Energy Storage for Power System with Capability of
  Sensing Short-term Future PV Power Production

Predicting the Travel Distance of Patients to Access Healthcare using

Synthetic Acute Hypotension and Sepsis Datasets Based on MIMIC-III and
  Published as Part of the Health Gym Project

Ground-Truth, Whose Truth? -- Examining the Challenges with Annotating
  Toxic Text Datasets

Physics guided deep learning generative models for crystal materials
  discovery

RID-Noise: Towards Robust Inverse Design under Noisy Environments

Control Parameters Considered Harmful: Detecting Range Specification
  Bugs in Drone Configuration Modules via Learning-Guided Search

Model-free Nearly Optimal Control of Constrained-Input Nonlinear Systems
  Based on Synchronous Reinforcement Learning

A Generic Approach for Enhancing GANs by Regularized Latent Optimization

A Piece-wise Polynomial Filtering Approach for Graph Neural Networks

Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning

Explicitly antisymmetrized neural network layers for variational Monte
  Carlo simulation

Enhanced Exploration in Neural Feature Selection for Deep Click-Through
  Rate Prediction Models via Ensemble of Gating Layers

Combining Learning from Human Feedback and Knowledge Engineering to
  Solve Hierarchical Tasks in Minecraft

Generative Adversarial Networks for Labeled Acceleration Data
  Augmentation for Structural Damage Detection

BDFA: A Blind Data Adversarial Bit-flip Attack on Deep Neural Networks

Defending against Model Stealing via Verifying Embedded External
  Features

Improving Neural Cross-Lingual Summarization via Employing Optimal
  Transport Distance for Knowledge Distillation

Generative Adversarial Networks for Data Generation in Structural Health

Generative Adversarial Networks for Labelled Vibration Data Generation

Emulating Spatio-Temporal Realizations of Three-Dimensional Isotropic
  Turbulence via Deep Sequence Learning Models

Spectral Complexity-scaled Generalization Bound of Complex-valued Neural
  Networks

Federated Deep Reinforcement Learning for the Distributed Control of
  NextG Wireless Networks

GraphPAS: Parallel Architecture Search for Graph Neural Networks

RSBNet: One-Shot Neural Architecture Search for A Backbone Network in
  Remote Sensing Image Recognition

Hybrid guiding: A multi-resolution refinement approach for semantic
  segmentation of gigapixel histopathological images

Robust Speech Representation Learning via Flow-based Embedding

Deep Level Set for Box-supervised Instance Segmentation in Aerial Images

Understanding the Impact of Semi-numeric Reionization Models when using
  CNNs

Dyadic Sex Composition and Task Classification Using fNIRS Hyperscanning
  Data

A Unified Framework for Multi-distribution Density Ratio Estimation

First-Order Regret in Reinforcement Learning with Linear Function
  Approximation: A Robust Estimation Approach

Mapping the Diversity of Galaxy Spectra with Deep Unsupervised Machine
  Learning

Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for
  Event-Based Vision

Extrapolation Frameworks in Cognitive Psychology Suitable for Study of
  Image Classification Models

Dynamic imaging using Motion-Compensated SmooThness Regularization on
  Manifolds (MoCo-SToRM)

Graphical Models with Attention for Context-Specific Independence and an
  Application to Perceptual Grouping

Cadence: A Practical Time-series Partitioning Algorithm for Unlabeled
  IoT Sensor Streams

Associative Memories Using Complex-Valued Hopfield Networks Based on
  Spin-Torque Oscillator Arrays

Test-Time Detection of Backdoor Triggers for Poisoned Deep Neural
  Networks

Grain segmentation in atomistic simulations using orientation-based
  iterative self-organizing data analysis

Structured learning of safety guarantees for the control of uncertain
  dynamical systems

Learning-based synthesis of robust linear time-invariant controllers

Training Lipschitz continuous operators using reproducing kernels

Learning Connectivity with Graph Convolutional Networks for

Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks

Adversarial Machine Learning In Network Intrusion Detection Domain: A

Searching for Anomalies in the ZTF Catalog of Periodic Variable Stars

Automation Of Transiting Exoplanet Detection, Identification and
  Habitability Assessment Using Machine Learning Approaches

Functional Regularization for Reinforcement Learning via Learned Fourier
  Features

Human Parity on CommonsenseQA: Augmenting Self-Attention with External
  Attention

GAM Changer: Editing Generalized Additive Models with Interactive

Unsupervised Domain Adaptation for Semantic Image Segmentation: a

Simulation Intelligence: Towards a New Generation of Scientific Methods

The InSight HP$^3$ mole on Mars: Lessons learned from attempts to
  penetrate to depth in the Martian soil

A Risk-Averse Preview-based $Q$-Learning Algorithm: Application to
  Highway Driving of Autonomous Vehicles

Traversing Time with Multi-Resolution Gaussian Process State-Space
  Models

CALVIN: A Benchmark for Language-Conditioned Policy Learning for
  Long-Horizon Robot Manipulation Tasks

What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation
  Framework for Explainability Methods

Cross-validation for change-point regression: pitfalls and solutions

Multi-scale Feature Learning Dynamics: Insights for Double Descent

Physically Consistent Neural Networks for building thermal modeling:
  theory and analysis

Anchoring to Exemplars for Training Mixture-of-Expert Cell Embeddings

Quantifying Adaptability in Pre-trained Language Models with 500 Tasks

An unsupervised extractive summarization method based on multi-round

Collective variable discovery in the age of machine learning: reality,
  hype and everything in between

Evaluating performance of hybrid quantum optimization algorithms for
  MAXCUT Clustering using IBM runtime environment

Online false discovery rate control for anomaly detection in time series

Does Proprietary Software Still Offer Protection of Intellectual
  Property in the Age of Machine Learning? -- A Case Study using Dual Energy CT
  Data

Intelligent Acoustic Module for Autonomous Vehicles using Fast Gated
  Recurrent approach

Tele-EvalNet: A Low-cost, Teleconsultation System for Home based
  Rehabilitation of Stroke Survivors using Multiscale CNN-LSTM Architecture

Encouraging Disentangled and Convex Representation with Controllable
  Interpolation Regularization

VAE based Text Style Transfer with Pivot Words Enhancement Learning

Quality control for more reliable integration of deep learning-based
  image segmentation into medical workflows

Prototypical Model with Novel Information-theoretic Loss Function for
  Generalized Zero Shot Learning

General Facial Representation Learning in a Visual-Linguistic Manner

Flood Inflow Forecast Using L2-norm Ensemble Weighting Sea Surface
  Feature

Transfer learning to improve streamflow forecasts in data sparse regions

Organ localisation using supervised and semi supervised approaches
  combining reinforcement learning with imitation learning

Fast 3D registration with accurate optimisation and little learning for
  Learn2Reg 2021

3D Hierarchical Refinement and Augmentation for Unsupervised Learning of
  Depth and Pose from Monocular Video

Keeping it Simple: Language Models can learn Complex Molecular

Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement
  Learning

Deconfounding Temporal Autoencoder: Estimating Treatment Effects over
  Time Using Noisy Proxies

4DContrast: Contrastive Learning with Dynamic Correspondences for 3D
  Scene Understanding

Flexible-Joint Manipulator Trajectory Tracking with Learned Two-Stage
  Model employing One-Step Future Prediction

Smart Metering System Capable of Anomaly Detection by Bi-directional
  LSTM Autoencoder

DANets: Deep Abstract Networks for Tabular Data Classification and

Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning
  with Label Noise

Reinforcement Learning for Navigation of Mobile Robot with LiDAR

The artificial synesthete: Image-melody translations with variational

Bayesian Estimation Approach for Linear Regression Models with Linear
  Inequality Restrictions

Anomaly Detection in IR Images of PV Modules using Supervised

When the Curious Abandon Honesty: Federated Learning Is Not Private

A Tale of Color Variants: Representation and Self-Supervised Learning in
  Fashion E-Commerce

Learning Personal Representations from fMRIby Predicting Neurofeedback

Data-driven forward-inverse problems for Yajima-Oikawa system using deep
  learning with parameter regularization

Interpretable Image Classification with Differentiable Prototypes
  Assignment

Tunable Image Quality Control of 3-D Ultrasound using Switchable
  CycleGAN

Joint Learning of Localized Representations from Medical Images and
  Reports

AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural
  Networks

A Marketplace for Trading AI Models based on Blockchain and Incentives
  for IoT Data

Distance and Hop-wise Structures Encoding Enhanced Graph Attention
  Networks

SelectAugment: Hierarchical Deterministic Sample Selection for Data

Doubly Optimal No-Regret Online Learning in Strongly Monotone Games with
  Bandit Feedback

Cerium Oxides without $U$: The Role of Many-Electron Correlation

Dynamic Graph Learning-Neural Network for Multivariate Time Series
  Modeling

DemoGrasp: Few-Shot Learning for Robotic Grasping with Human

Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence
  Model Tackles All SMAC Tasks

Learning-based Measurement Scheduling for Loosely-Coupled Cooperative

A Generalized Zero-Shot Quantization of Deep Convolutional Neural
  Networks via Learned Weights Statistics

Two-step Lookahead Bayesian Optimization with Inequality Constraints

Learning Proximal Operator Methods for Massive Connectivity in IoT
  Networks

SyntEO: Synthetic Data Set Generation for Earth Observation and Deep
  Learning -- Demonstrated for Offshore Wind Farm Detection

Application of Artificial Intelligence and Machine Learning in
  Libraries: A Systematic Review

ED2: An Environment Dynamics Decomposition Framework for World Model

Forward Compatible Training for Large-Scale Embedding Retrieval Systems

ML Attack Models: Adversarial Attacks and Data Poisoning Attacks

Conditional Deep Hierarchical Variational Autoencoder for Voice

Incentive Compatible Pareto Alignment for Multi-Source Large Graphs

Texture Reformer: Towards Fast and Universal Interactive Texture
  Transfer

AoI-Constrained Bandit: Information Gathering over Unreliable Channels
  with Age Guarantees

Exclusive hadronic $τ$ decays, within $\&$ beyond the Standard Model

Adjusting the Ground Truth Annotations for Connectivity-Based Learning
  to Delineate

Revisiting LiDAR Registration and Reconstruction: A Range Image

ActiveZero: Mixed Domain Learning for Active Stereovision with Zero

Search and Learn: Improving Semantic Coverage for Data-to-Text

Strategies in JPEG compression using Convolutional Neural Network (CNN)

MetaCloth: Learning Unseen Tasks of Dense Fashion Landmark Detection
  from a Few Samples

BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery

Robust training approach of neural networks for fluid flow state

One-shot Talking Face Generation from Single-speaker Audio-Visual
  Correlation Learning

Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment

Unfairness Despite Awareness: Group-Fair Classification with Strategic
  Agents

Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume
  Segmentation with Limited Annotation

Team Hitachi @ AutoMin 2021: Reference-free Automatic Minuting Pipeline
  with Argument Structure Construction over Topic-based Summarization

Spatio-Temporal meets Wavelet: Disentangled Traffic Flow Forecasting via
  Efficient Spectral Graph Attention Network

CDGNet: A Cross-Time Dynamic Graph-based Deep Learning Model for Traffic

Detecting DeFi Securities Violations from Token Smart Contract Code

Facial Emotion Characterization and Detection using Fourier Transform

NL-Augmenter: A Framework for Task-Sensitive Natural Language

CLASSIC: Continual and Contrastive Learning of Aspect Sentiment

Joint Symmetry Detection and Shape Matching for Non-Rigid Point Cloud

Achieving Forgetting Prevention and Knowledge Transfer in Continual
  Learning

Beyond Robustness: Resilience Verification of Tree-Based Classifiers

Benchmark for Out-of-Distribution Detection in Deep Reinforcement
  Learning

DIY Graphics Tab: A Cost-Effective Alternative to Graphics Tablet for
  Educators

Synthetic ECG Signal Generation Using Generative Neural Networks

Stochastic Local Winner-Takes-All Networks Enable Profound Adversarial

On the Convergence of Shallow Neural Network Training with Randomly
  Masked Neurons

ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural
  Network Model for Short-Term Load Forecasting

Using Convolutional Neural Networks for fault analysis and alleviation
  in accelerator systems

VarCLR: Variable Semantic Representation Pre-training via Contrastive
  Learning

Diverse, Global and Amortised Counterfactual Explanations for
  Uncertainty Estimates

Using Static and Dynamic Malware features to perform Malware Ascription

Modeling Live Video Streaming: Real-Time Classification, QoE Inference,
  and Field Evaluation

Optimal criteria and their asymptotic form for data selection in
  data-driven reduced-order modeling with Gaussian process regression

Enhancement of a state-of-the-art RL-based detection algorithm for
  Massive MIMO radars

Ensemble and Mixed Learning Techniques for Credit Card Fraud Detection

Explainable Deep Learning in Healthcare: A Methodological Survey from an
  Attribution View

Probabilistic Deep Learning to Quantify Uncertainty in Air Quality

LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent
  Learning

C-GRBFnet: A Physics-Inspired Generative Deep Neural Network for Channel
  Representation and Prediction

Training Structured Neural Networks Through Manifold Identification and
  Variance Reduction

Contextual Multi-View Query Learning for Short Text Classification in
  User-Generated Data

Differentiating Approach and Avoidance from Traditional Notions of
  Sentiment in Economic Contexts

Variational Autoencoder with CCA for Audio-Visual Cross-Modal Retrieval

Real-time Informative Surgical Skill Assessment with Gaussian Process
  Learning

Multiple Interest and Fine Granularity Network for User Modeling

Local Adaptivity of Gradient Boosting in Histogram Transform Ensemble
  Learning

Machine-Learning-Based Intelligent Framework for Discovering Refractory
  High-Entropy Alloys with Improved High-Temperature Yield Strength

PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic

Input Beam Matching and Beam Dynamics Design Optimization of the IsoDAR
  RFQ using Statistical and Machine Learning Techniques

Smart IoT-Biofloc water management system using Decision regression tree

Learning Tracking Representations via Dual-Branch Fully Transformer
  Networks

Communication and Energy Efficient Slimmable Federated Learning via
  Superposition Coding and Successive Decoding

A Novel Approach to Solving Goal-Achieving Problems for Board Games

Learning-Based Control Compensation for Multi-Axis Gimbal Systems Using
  Inverse and Forward Dynamics

Contrastive Cycle Adversarial Autoencoders for Single-cell Multi-omics
  Alignment and Integration

Interpretable Privacy Preservation of Text Representations Using Vector
  Steganography

A Deep-Learning Intelligent System Incorporating Data Augmentation for
  Short-Term Voltage Stability Assessment of Power Systems

Joint Superposition Coding and Training for Federated Learning over
  Multi-Width Neural Networks

Robust Active Learning: Sample-Efficient Training of Robust Deep

Hard Sample Aware Noise Robust Learning for Histopathology Image

On the Numerical Approximation of the Karhunen-Loève Expansion for
  Random Fields with Random Discrete Data

STSM: Spatio-Temporal Shift Module for Efficient Action Recognition

Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised

A Novel Sequential Coreset Method for Gradient Descent Algorithms

Radial Basis Function Approximation with Distributively Stored Data on
  Spheres

Gaudí: Conversational Interactions with Deep Representations to
  Generate Image Collections

Exploring Complicated Search Spaces with Interleaving-Free Sampling

Classification of COVID-19 on chest X-Ray images using Deep Learning
  model with Histogram Equalization and Lungs Segmentation

Noise Distribution Adaptive Self-Supervised Image Denoising using
  Tweedie Distribution and Score Matching

Grappling with the Scale of Born-Digital Government Publications: Toward
  Pipelines for Processing and Searching Millions of PDFs

RADA: Robust Adversarial Data Augmentation for Camera Localization in
  Challenging Weather

Anomaly Detection of Wind Turbine Time Series using Variational
  Recurrent Autoencoders

Rectangularization of Gaussian process regression for optimization of
  hyperparameters

Emojich -- zero-shot emoji generation using Russian language: a
  technical report

Next Day Wildfire Spread: A Machine Learning Data Set to Predict
  Wildfire Spreading from Remote-Sensing Data

Deep Learning on Mobile Devices Through Neural Processing Units and Edge
  Computing

Efficient Deterministic Quantitative Group Testing for Precise
  Information Retrieval

Unraveling Social Perceptions & Behaviors towards Migrants on Twitter

Nonparametric mixture MLEs under Gaussian-smoothed optimal transport
  distance

Predicting Bandwidth Utilization on Network Links Using Machine Learning

Understanding Dynamic Spatio-Temporal Contexts in Long Short-Term Memory
  for Road Traffic Speed Prediction

VT-CLIP: Enhancing Vision-Language Models with Visual-guided Texts

My(o) Armband Leaks Passwords: An EMG and IMU Based Keylogging
  Side-Channel Attack

3rd Place: A Global and Local Dual Retrieval Solution to Facebook AI
  Image Similarity Challenge

TransBoost: A Boosting-Tree Kernel Transfer Learning Algorithm for
  Improving Financial Inclusion

Unsupervised Adaptation of Semantic Segmentation Models without Source
  Data

Label Hierarchy Transition: Modeling Class Hierarchies to Enhance Deep

Logic Shrinkage: Learned FPGA Netlist Sparsity for Efficient Neural
  Network Inference

Generalized Binary Search Network for Highly-Efficient Multi-View Stereo

Efficient Pressure: Improving efficiency for signalized intersections

Representation Learning for Conversational Data using Discourse Mutual

Modeling and Predicting Blood Flow Characteristics through Double
  Stenosed Artery from CFD simulation using Deep Learning Models

Adaptive label thresholding methods for online multi-label

Unsupervised Domain Generalization by Learning a Bridge Across Domains

Ablation study of self-supervised learning for image classification

PreGAN: Preemptive Migration Prediction Network for Proactive
  Fault-Tolerant Edge Computing

KDCTime: Knowledge Distillation with Calibration on InceptionTime for
  Time-series Classification

Interactive Disentanglement: Learning Concepts by Interacting with their
  Prototype Representations

BenchML: an extensible pipelining framework for benchmarking
  representations of materials and molecules at scale

Stage Conscious Attention Network (SCAN) : A Demonstration-Conditioned
  Policy for Few-Shot Imitation

BAANet: Learning Bi-directional Adaptive Attention Gates for
  Multispectral Pedestrian Detection

A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation

Self-supervised Graph Learning for Occasional Group Recommendation

Bridging Pre-trained Models and Downstream Tasks for Source Code

DMGCRN: Dynamic Multi-Graph Convolution Recurrent Network for Traffic

On the Implementation of Fixed-point Exponential Function for Machine
  Learning and Signal Processing Accelerators

STJLA: A Multi-Context Aware Spatio-Temporal Joint Linear Attention
  Network for Traffic Forecasting

Construct Informative Triplet with Two-stage Hard-sample Generation

Towards the One Learning Algorithm Hypothesis: A System-theoretic
  Approach

Channel Exchanging Networks for Multimodal and Multitask Dense Image

Dual-Flow Transformation Network for Deformable Image Registration with
  Region Consistency Constraint

Sphere Face Model:A 3D Morphable Model with Hypersphere Manifold Latent
  Space

SemanticStyleGAN: Learning Compositional Generative Priors for
  Controllable Image Synthesis and Editing

SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for

PhishMatch: A Layered Approach for Effective Detection of Phishing URLs

Multi-Agent Reinforcement Learning for Distributed Joint Communication
  and Computing Resource Allocation over Cell-Free Massive MIMO-enabled Mobile
  Edge Computing Network

Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using
  Deep Learning on Primary Tumor Biopsy Slides

Transferring Unconditional to Conditional GANs with Hyper-Modulation

Deep Policy Iteration with Integer Programming for Inventory Management

Joint Audio-Text Model for Expressive Speech-Driven 3D Facial Animation

Generalized Likelihood Ratio Test for Adversarially Robust Hypothesis
  Testing

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

Understanding the Limits of Conventional Hardware Architectures for
  Deep-Learning

NN-LUT: Neural Approximation of Non-Linear Operations for Efficient
  Transformer Inference

Efficient Calibration of Multi-Agent Simulation Models from Output
  Series with Bayesian Optimization

Projections onto hyperbolas or bilinear constraint sets in Hilbert
  spaces

Counterfactual Fairness in Mortgage Lending via Matching and

UV-Visible Absorption Spectra of Solvated Molecules by Quantum Chemical

Bridging the gap between prostate radiology and pathology through

Optimizing Performance and Satisfaction in Matching and Movement Tasks
  in Virtual Reality with Interventions Using the Data Visualization Literacy
  Framework

CTIN: Robust Contextual Transformer Network for Inertial Navigation

Combining Embeddings and Fuzzy Time Series for High-Dimensional Time
  Series Forecasting in Internet of Energy Applications

Enhanced Self-Organizing Map Solution for the Traveling Salesman Problem

Prediction and compression of lattice QCD data using machine learning
  algorithms on quantum annealer

Reconstruction of bottomonium spectral functions in thermal QCD using
  Kernel Ridge Regression

Coupling Vision and Proprioception for Navigation of Legged Robots

Causal-based Time Series Domain Generalization for Vehicle Intention

Learning a Robust Multiagent Driving Policy for Traffic Congestion
  Reduction

Data-Free Neural Architecture Search via Recursive Label Calibration

Geometry-aware Two-scale PIFu Representation for Human Reconstruction

Hierarchical Optimal Transport for Unsupervised Domain Adaptation

Deep learning method for identifying mass composition of
  ultra-high-energy cosmic rays

I-WKNN: Fast-Speed and High-Accuracy WIFI Positioning for Intelligent
  Stadiums

TC-GNN: Accelerating Sparse Graph Neural Network Computation Via Dense
  Tensor Core on GPUs

Bridging the Gap: Point Clouds for Merging Neurons in Connectomics

Dephasing-enhanced performance in quasiperiodic thermal machines

Could AI Democratise Education? Socio-Technical Imaginaries of an EdTech
  Revolution

Divergent representations of ethological visual inputs emerge from
  supervised, unsupervised, and reinforcement learning

Dynamic Bayesian Network Modelling of User Affect and Perceptions of a
  Teleoperated Robot Coach during Longitudinal Mindfulness Training

Practitioner-Centric Approach for Early Incident Detection Using
  Crowdsourced Data for Emergency Services

Learning to Broadcast for Ultra-Reliable Communication with Differential
  Quality of Service via the Conditional Value at Risk

Application of Machine Learning in understanding plant virus
  pathogenesis: Trends and perspectives on emergence, diagnosis, host-virus
  interplay and management

A fully non-perturbative charm-quark tuning using machine learning

Echocardiography Segmentation with Enforced Temporal Consistency

ROCA: Robust CAD Model Retrieval and Alignment from a Single Image

A Multi-Level Trace Clustering Analysis Scheme for Measuring Students'
  Self-Regulated Learning Behavior in a Master-Based Online Learning

Dynamic fracture of a bicontinuously nanostructured copolymer: A
  deep-learning analysis of big-data-generating experiment

View-Consistent Metal Segmentation in the Projection Domain for Metal
  Artifact Reduction in CBCT -- An Investigation of Potential Improvement

Enhancing Deep Neural Networks Testing by Traversing Data Manifold

You Can't See the Forest for Its Trees: Assessing Deep Neural Network
  Testing via NeuraL Coverage

Improving the Robustness of Reinforcement Learning Policies with
  $\mathcal{L}_{1}$ Adaptive Control

Boosting Unsupervised Domain Adaptation with Soft Pseudo-label and

Towards Low-loss 1-bit Quantization of User-item Representations for
  Top-K Recommendation

Fast Projected Newton-like Method for Precision Matrix Estimation under
  Total Positivity

Shapes of Emotions: Multimodal Emotion Recognition in Conversations via
  Emotion Shifts

Learn Global and Optimize Local: A Data-Driven Methodology for Last-Mile
  Routing

Generative Adversarial Networks for Synthetic Data Generation: A
  Comparative Study

Feature Importance-aware Graph Attention Network and Dueling Double Deep
  Q-Network Combined Approach for Critical Node Detection Problems

TRNR: Task-Driven Image Rain and Noise Removal with a Few Images Based
  on Patch Analysis

MetaQA: Combining Expert Agents for Multi-Skill Question Answering

In situ process quality monitoring and defect detection for direct metal
  laser melting

Heuristic Search Planning with Deep Neural Networks using Imitation,
  Attention and Curriculum Learning

A Structured Dictionary Perspective on Implicit Neural Representations

Prediction of Household-level Heat-Consumption using PSO enhanced SVR
  Model

Near-optimal estimation of smooth transport maps with kernel
  sums-of-squares

Towards Super-Resolution CEST MRI for Visualization of Small Structures

Hybrid Digital Twin for process industry using Apros simulation

Bayes in Wonderland! Predictive supervised classification inference hits
  unpredictability

Fast $L^2$ optimal mass transport via reduced basis methods for the
  Monge-Amp$\grave{\rm e}$re equation

A Flexible HLS Hoeffding Tree Implementation for Runtime Learning on
  FPGA

Learning-Based Adaptive IRS Control with Limited Feedback Codebooks

Active Inference in Robotics and Artificial Agents: Survey and

Discovery of Crime Event Sequences with Constricted Spatio-Temporal
  Sequential Patterns

Mind Your Clever Neighbours: Unsupervised Person Re-identification via
  Adaptive Clustering Relationship Modeling

Efficient Two-Stage Detection of Human-Object Interactions with a Novel
  Unary-Pairwise Transformer

Table2Vec: Automated Universal Representation Learning to Encode
  All-round Data DNA for Benchmarkable and Explainable Enterprise Data Science

IACT event analysis with the MAGIC telescopes using deep convolutional
  neural networks with CTLearn

Construction de variables a l'aide de classifieurs comme aide a la

Reducing Tactile Sim2Real Domain Gaps via Deep Texture Generation
  Networks

A Survey: Deep Learning for Hyperspectral Image Classification with Few
  Labeled Samples

Detection of Large Vessel Occlusions using Deep Learning by Deforming
  Vessel Tree Segmentations

Controversy Detection: a Text and Graph Neural Network Based Approach

The UniNAS framework: combining modules in arbitrarily complex
  configurations with argument trees

Fast Data-Driven Adaptation of Radar Detection via Meta-Learning

A Novel Deep Parallel Time-series Relation Network for Fault Diagnosis

Attack-Centric Approach for Evaluating Transferability of Adversarial
  Samples in Machine Learning Models

REANN: A PyTorch-based End-to-End Multi-functional Deep Neural Network
  Package for Molecular, Reactive and Periodic Systems

Residual-Based Adaptive Coefficient and Noise-Immunity ZNN for Perturbed
  Time-Dependent Quadratic Minimization

Two-stage Deep Stacked Autoencoder with Shallow Learning for Network

MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin
  Lesion Segmentation and Classification

Unsupervised Low-Light Image Enhancement via Histogram Equalization
  Prior

Learning Emergent Random Access Protocol for LEO Satellite Networks

BBS-KWS:The Mandarin Keyword Spotting System Won the Video Keyword
  Wakeup Challenge

Probing Linguistic Information For Logical Inference In Pre-trained

Multitask Finetuning for Improving Neural Machine Translation in Indian
  Languages

AirDet: Few-Shot Detection without Fine-tuning for Autonomous

Joint User Scheduling and Beamforming Design for Multiuser MISO Downlink
  Systems

Permutationally invariant polynomial regression for energies and
  gradients, using reverse differentiation, achieves orders of magnitude
  speed-up with high precision compared to other machine learning methods

Single-Shot Black-Box Adversarial Attacks Against Malware Detectors: A
  Causal Language Model Approach

Adversarial Attacks against a Satellite-borne Multispectral Cloud
  Detector

Adaptive Poincaré Point to Set Distance for Few-Shot Classification

Improving Predictions of Tail-end Labels using Concatenated
  BioMed-Transformers for Long Medical Documents

Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning
  Research

Self-Supervised Material and Texture Representation Learning for Remote
  Sensing Tasks

Structure-Aware Multi-Hop Graph Convolution for Graph Neural Networks

Differential Privacy in Privacy-Preserving Big Data and Learning:
  Challenge and Opportunity

LMR-CBT: Learning Modality-fused Representations with CB-Transformer for
  Multimodal Emotion Recognition from Unaligned Multimodal Sequences

A hybrid physics-informed neural network for nonlinear partial
  differential equation

Hybrid Instance-aware Temporal Fusion for Online Video Instance

On the Existence of the Adversarial Bayes Classifier (Extended Version)

Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN
  Design

Machine Learning Subsystem for Autonomous Collision Avoidance on a small
  UAS with Embedded GPU

Differential Property Prediction: A Machine Learning Approach to
  Experimental Design in Advanced Manufacturing

Make A Long Image Short: Adaptive Token Length for Vision Transformers

Challenges and Opportunities in Approximate Bayesian Deep Learning for
  Intelligent IoT Systems

FP-Radar: Longitudinal Measurement and Early Detection of Browser

Learning Curves for Continual Learning in Neural Networks:
  Self-Knowledge Transfer and Forgetting

Data-Enabled Gradient Flow as Feedback Controller: Regulation of Linear
  Dynamical Systems to Minimizers of Unknown Functions

Hamiltonian latent operators for content and motion disentanglement in
  image sequences

MultiVerS: Improving scientific claim verification with weak supervision
  and full-document context

AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep
  Learning

Graph Self-Supervised Learning for Optoelectronic Properties of Organic
  Semiconductors

Engineering AI Tools for Systematic and Scalable Quality Assessment in
  Magnetic Resonance Imaging

High-Precision Inversion of Dynamic Radiography Using Hydrodynamic
  Features

Sample-Efficient Generation of Novel Photo-acid Generator Molecules
  using a Deep Generative Model

Label noise detection under the Noise at Random model with ensemble
  filters

Equal Bits: Enforcing Equally Distributed Binary Network Weights

Neurosymbolic Systems of Perception & Cognition: The Role of Attention

Faster Multi-Goal Simulation-Based Testing Using DoLesS (Domination with
  Least Square Approximation)

Predicting infections in the Covid-19 pandemic -- lessons learned

PLSUM: Generating PT-BR Wikipedia by Summarizing Multiple Websites

Quantifying the uncertainty of neural networks using Monte Carlo dropout
  for deep learning based quantitative MRI

Differentially Private Exploration in Reinforcement Learning with Linear

LeapfrogLayers: A Trainable Framework for Effective Topological Sampling

Artificial Intelligence-driven Image Analysis of Bacterial Cells and
  Biofilms

Dimension-Free Average Treatment Effect Inference with Deep Neural
  Networks

FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN
  Space Optimization

Trajectory Clustering Performance Evaluation: If we know the answer,
  it's not clustering

Theoretical Analysis of an XGBoost Framework for Product Cannibalization

Is Approximation Universally Defensive Against Adversarial Attacks in
  Deep Neural Networks?

Extending the SAGA Survey (xSAGA) I: Satellite Radial Profiles as a
  Function of Host Galaxy Properties

DeepZipper: A Novel Deep Learning Architecture for Lensed Supernovae

Masked-attention Mask Transformer for Universal Image Segmentation

GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras

Uni-Perceiver: Pre-training Unified Architecture for Generic Perception
  for Zero-shot and Few-shot Tasks

Object-aware Monocular Depth Prediction with Instance Convolutions

Efficient Neural Radiance Fields with Learned Depth-Guided Sampling

DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting

TransFGU: A Top-down Approach to Fine-Grained Unsupervised Semantic

The Surprising Effectiveness of Representation Learning for Visual
  Imitation

Sample Complexity of Robust Reinforcement Learning with a Generative
  Model

Machine Learning-Based Classification Algorithms for the Prediction of
  Coronary Heart Diseases

Dimensions of Motion: Monocular Prediction through Flow Subspaces

Why Calibration Error is Wrong Given Model Uncertainty: Using Posterior
  Predictive Checks with Deep Learning

A Hybrid Science-Guided Machine Learning Approach for Modeling and
  Optimizing Chemical Processes

Learning Large-scale Network Embedding from Representative Subgraph

Level set learning with pseudo-reversible neural networks for nonlinear
  dimension reduction in function approximation

Loss Landscape Dependent Self-Adjusting Learning Rates in Decentralized

SCNet: A Generalized Attention-based Model for Crack Fault Segmentation

Deep residential representations: Using unsupervised learning to unlock
  elevation data for geo-demographic prediction

Joint Characterization of the Cryospheric Spectral Feature Space

Iterative Contrast-Classify For Semi-supervised Temporal Action

Newton methods based convolution neural networks using parallel

ScaleVLAD: Improving Multimodal Sentiment Analysis via Multi-Scale
  Fusion of Locally Descriptors

Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent
  Flows

Phasic Policy Gradient Based Resource Allocation for Industrial Internet
  of Things

Mixing Deep Learning and Multiple Criteria Optimization: An Application
  to Distributed Learning with Multiple Datasets

3rd Place Solution for NeurIPS 2021 Shifts Challenge: Vehicle Motion

Generalized Framework for Group Testing: Queries, Feedbacks and
  Adversaries

Stationary Diffusion State Neural Estimation for Multiview Clustering

CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic
  Masking of Cancer

Optimal regularizations for data generation with probabilistic graphical
  models

LINC-NIRVANA Commissioning at the Large Binocular Telescope -- Lessons
  Learned

Borrowing from Similar Code: A Deep Learning NLP-Based Approach for Log
  Statement Automation

Hierarchical Learning to Solve Partial Differential Equations Using

Youla-REN: Learning Nonlinear Feedback Policies with Robust Stability

GraphCode2Vec: Generic Code Embedding via Lexical and Program Dependence
  Analyses

Local Citation Recommendation with Hierarchical-Attention Text Encoder
  and SciBERT-based Reranking

Sample Prior Guided Robust Model Learning to Suppress Noisy Labels

Simplifying heterogeneous migration between x86 and ARM machines

MutualFormer: Multi-Modality Representation Learning via Mutual

Multi-task Self-distillation for Graph-based Semi-Supervised Learning

Robust Robotic Control from Pixels using Contrastive Recurrent
  State-Space Models

A Unified Framework for Adversarial Attack and Defense in Constrained
  Feature Space

CO2Sum:Contrastive Learning for Factual-Consistent Abstractive

Deep Learning-Based Carotid Artery Vessel Wall Segmentation in
  Black-Blood MRI Using Anatomical Priors

FNR: A Similarity and Transformer-Based Approach to Detect Multi-Modal
  Fake News in Social Media

Unsupervised Law Article Mining based on Deep Pre-Trained Language
  Representation Models with Application to the Italian Civil Code

"Just Drive": Colour Bias Mitigation for Semantic Segmentation in the
  Context of Urban Driving

Near-Optimal Lower Bounds For Convex Optimization For All Orders of
  Smoothness

Contrastive Adaptive Propagation Graph Neural Networks for Efficient

A tool to support the investigation and visualization of cyber and/or
  physical incidents

Who will dropout from university? Academic risk prediction based on

Memory-efficient array redistribution through portable collective
  communication

Improving the Reliability of Network Intrusion Detection Systems through
  Dataset Integration

AutoGEL: An Automated Graph Neural Network with Explicit Link

Automatic deforestation detectors based on frequentist statistics and
  their extensions for other spatial objects

Syntax Customized Video Captioning by Imitating Exemplar Sentences

Data-Driven Interaction Analysis of Line Failure Cascading in Power Grid
  Networks

Transfer Learning in Conversational Analysis through Reusing
  Preprocessing Data as Supervisors

Emotions are Subtle: Learning Sentiment Based Text Representations Using

From Consensus to Disagreement: Multi-Teacher Distillation for
  Semi-Supervised Relation Extraction

ShuttleNet: Position-aware Fusion of Rally Progress and Player Styles
  for Stroke Forecasting in Badminton

N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event
  Cameras

Perform Like an Engine: A Closed-Loop Neural-Symbolic Learning Framework
  for Knowledge Graph Inference

How global observation works in Federated Learning: Integrating vertical
  training into Horizontal Federated Learning

Stacked Temporal Attention: Improving First-person Action Recognition by
  Emphasizing Discriminative Clips

GANSeg: Learning to Segment by Unsupervised Hierarchical Image

Graph4Rec: A Universal Toolkit with Graph Neural Networks for

Leveraging Human Selective Attention for Medical Image Analysis with
  Limited Training Data

Improving sensitivity of the ARIANNA detector by rejecting thermal noise

TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework
  using Self-Supervised Multi-Task Learning

Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data
  via Generative Bias-transformation

Unconstrained Face Sketch Synthesis via Perception-Adaptive Network and
  A New Benchmark

On Two XAI Cultures: A Case Study of Non-technical Explanations in
  Deployed AI System

Improving Controllability of Educational Question Generation by Keyword
  Provision

SEAL: Self-supervised Embodied Active Learning using Exploration and 3D

SwinTrack: A Simple and Strong Baseline for Transformer Tracking

Deep Transfer Learning: A Novel Collaborative Learning Model for
  Cyberattack Detection Systems in IoT Networks

On Large Batch Training and Sharp Minima: A Fokker-Planck Perspective

Evaluation of mathematical questioning strategies using data collected
  through weak supervision

Robust End-to-End Focal Liver Lesion Detection using Unregistered
  Multiphase Computed Tomography Images

Gaussian Mixture Variational Autoencoder with Contrastive Learning for
  Multi-Label Classification

Consensus Graph Representation Learning for Better Grounded Image

Adversarial Robustness of Deep Reinforcement Learning based Dynamic

Towards Personalization of User Preferences in Partially Observable
  Smart Home Environments

Relational Graph Learning for Grounded Video Description Generation

Vision Pair Learning: An Efficient Training Framework for Image

RafterNet: Probabilistic predictions in multi-response regression

A Survey on Scenario-Based Testing for Automated Driving Systems in
  High-Fidelity Simulation

Multi-Domain Transformer-Based Counterfactual Augmentation for Earnings
  Call Analysis

Large-Scale Data Mining of Rapid Residue Detection Assay Data From HTML
  and PDF Documents: Improving Data Access and Visualization for Veterinarians

Hierarchical Neural Implicit Pose Network for Animation and Motion

Personalized Federated Learning of Driver Prediction Models for

Maximum Consensus by Weighted Influences of Monotone Boolean Functions

DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework

Long-Term Recurrent Convolutional Network-based Inertia Estimation using
  Ambient Measurements

Context-Aware Online Client Selection for Hierarchical Federated
  Learning

CDLNet: Noise-Adaptive Convolutional Dictionary Learning Network for
  Blind Denoising and Demosaicing

IMRecoNet: Learn to Detect in Index Modulation Aided MIMO Systems with
  Complex Valued Neural Networks

Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL

Optimization of phase-only holograms calculated with scaled diffraction
  calculation through deep neural networks

Counterfactual Explanations via Latent Space Projection and

DOPE: Doubly Optimistic and Pessimistic Exploration for Safe

Robust and Adaptive Temporal-Difference Learning Using An Ensemble of

Learning to automate cryo-electron microscopy data collection with
  Ptolemy

Decomposing Representations for Deterministic Uncertainty Estimation

GANORCON: Are Generative Models Useful for Few-shot Segmentation?

Automatic tumour segmentation in H&E-stained whole-slide images of the
  pancreas

Interpretable Deep Learning-Based Forensic Iris Segmentation and

CLAWS: Contrastive Learning with hard Attention and Weak Supervision

Submacropulse electron-beam dynamics correlated with higher-order modes
  in a Tesla-type cryomodule

Convergence of Batch Greenkhorn for Regularized Multimarginal Optimal
  Transport

Output-weighted and relative entropy loss functions for deep learning
  precursors of extreme events

Revisiting dequantization and quantum advantage in learning tasks

Intervention treatment distributions that depend on the observed
  treatment process and model double robustness in causal survival analysis

ReIGNN: State Register Identification Using Graph Neural Networks for
  Circuit Reverse Engineering

PreViTS: Contrastive Pretraining with Video Tracking Supervision

Using Deep Image Prior to Assist Variational Selective Segmentation Deep

Controlling Conditional Language Models without Catastrophic Forgetting

Provable Guarantees for Understanding Out-of-distribution Detection

Reconsidering Tweets: Intervening During Tweet Creation Decreases
  Offensive Content

Extrapolating from a Single Image to a Thousand Classes using

A Novel Gaussian Process Based Ground Segmentation Algorithm with
  Local-Smoothness Estimation

Clustering Mixtures with Almost Optimal Separation in Polynomial Time

Semi-supervised music emotion recognition using noisy student training
  and harmonic pitch class profiles

CondenseNeXt: An Ultra-Efficient Deep Neural Network for Embedded
  Systems

DeepAoANet: Learning Angle of Arrival from Software Defined Radios with

Label-Free Model Evaluation with Semi-Structured Dataset Representations

CYBORG: Blending Human Saliency Into the Loss Improves Deep Learning

Classification of quark and gluon jets in hot QCD medium with deep
  learning

A Methodology for Thermal Simulation of Interconnects Enabled by Model
  Reduction with Material Property Variation

A Few-Shot Meta-Learning based Siamese Neural Network using Entropy
  Features for Ransomware Classification

Graph Conditioned Sparse-Attention for Improved Source Code

MOMO -- Deep Learning-driven classification of external DICOM studies
  for PACS archivation

Coupled autonomous thermal machines and efficiency at maximum power

Certified Adversarial Defenses Meet Out-of-Distribution Corruptions:
  Benchmarking Robustness and Simple Baselines

D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object

Equivariant graph neural networks for fast electron density estimation
  of molecules, liquids, and solids

Digital Twinning Remote Laboratories for Online Practical Learning

Remixing Functionally Graded Structures: Data-Driven Topology
  Optimization with Multiclass Shape Blending

TEDGE-Caching: Transformer-based Edge Caching Towards 6G Networks

Towards Futuristic Autonomous Experimentation--A Surprise-Reacting
  Sequential Experiment Policy

Wish you were here: Hindsight Goal Selection for long-horizon dexterous

Building astroBERT, a language model for Astronomy & Astrophysics

Neural Emotion Director: Speech-preserving semantic control of facial
  expressions in "in-the-wild" videos

The Shape Part Slot Machine: Contact-based Reasoning for Generating 3D
  Shapes from Parts

Using deep generative neural networks to account for model errors in
  Markov chain Monte Carlo inversion

Background Activation Suppression for Weakly Supervised Object

Conditional Expectation based Value Decomposition for Scalable On-Demand
  Ride Pooling

Domain-oriented Language Pre-training with Adaptive Hybrid Masking and
  Optimal Transport Alignment

Analysis of an adaptive lead weighted ResNet for multiclass
  classification of 12-lead ECGs

Toward Foundation Models for Earth Monitoring: Proposal for a Climate
  Change Benchmark

Dual Spoof Disentanglement Generation for Face Anti-spoofing with Depth
  Uncertainty Learning

On Mixing Times of Metropolized Algorithm With Optimization Step (MAO) :
  A New Framework

Monolith to Microservices: Representing Application Software through
  Heterogeneous Graph Neural Network

Molecular Contrastive Learning with Chemical Element Knowledge Graph

Empirical evaluation of shallow and deep learning classifiers for Arabic
  sentiment analysis

Improving gearshift controllers for electric vehicles with reinforcement
  learning

Incomplete Multi-view Clustering via Cross-view Relation Transfer

Aiding Medical Diagnosis Through the Application of Graph Neural
  Networks to Functional MRI Scans

Hardware-friendly Deep Learning by Network Quantization and Binarization

Learning Oriented Remote Sensing Object Detection via Naive Geometric
  Computing

Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence
  Dependency Graph

Multi-task fusion for improving mammography screening data

Revisiting the Transferability of Supervised Pretraining: an MLP

Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic
  Foggy Scene Understanding

On the Practical Consistency of Meta-Reinforcement Learning Algorithms

Weakly-Supervised Video Object Grounding via Causal Intervention

Seeking Sinhala Sentiment: Predicting Facebook Reactions of Sinhala
  Posts

The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by
  Normalization

Einstein-Podolsky-Rosen steering based on semi-supervised machine
  learning

Reference-guided Pseudo-Label Generation for Medical Semantic

On-Device Spatial Attention based Sequence Learning Approach for Scene
  Text Script Identification

TROLLMAGNIFIER: Detecting State-Sponsored Troll Accounts on Reddit

Training Experimentally Robust and Interpretable Binarized Regression
  Models Using Mixed-Integer Programming

A benchmark with decomposed distribution shifts for 360 monocular depth
  estimation

MAD: A Scalable Dataset for Language Grounding in Videos from Movie
  Audio Descriptions

Adv-4-Adv: Thwarting Changing Adversarial Perturbations via Adversarial

Personalized Federated Learning with Adaptive Batchnorm for Healthcare

Efficient Symptom Inquiring and Diagnosis via Adaptive Alignment of
  Reinforcement Learning and Classification

Multi-Agent Transfer Learning in Reinforcement Learning-Based
  Ride-Sharing Systems

Controlling Wasserstein distances by Kernel norms with application to
  Compressive Statistical Learning

Asymptotic properties of one-layer artificial neural networks with
  sparse connectivity

Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for
  Zero-Shot Learning

Compare Where It Matters: Using Layer-Wise Regularization To Improve
  Federated Learning on Heterogeneous Data

Effective and efficient structure learning with pruning and model
  averaging strategies

A Comprehensive Study on Various Statistical Techniques for Prediction
  of Movie Success

Spurious Valleys, NP-hardness, and Tractability of Sparse Matrix
  Factorization With Fixed Support

Deep-learning Assisted Extraction of Fluid Velocity from Scalar Signal
  Transport in a Shallow Microfluidic Channel

Translation-equivariant Image Quantizer for Bi-directional Image-Text

$\ell_\infty$-Robustness and Beyond: Unleashing Efficient Adversarial
  Training

Homotopy Based Reinforcement Learning with Maximum Entropy for
  Autonomous Air Combat

Score Transformer: Generating Musical Score from Note-level

An Open Source Software Stack for Tuning the Dynamical Behavior of
  Complex Power Systems

Leveraging Sequence Embedding and Convolutional Neural Network for
  Protein Function Prediction

A Unified Benchmark for the Unknown Detection Capability of Deep Neural
  Networks

VisRuler: Visual Analytics for Extracting Decision Rules from Bagged and
  Boosted Decision Trees

Joint Cluster Head Selection and Trajectory Planning in UAV-Aided IoT
  Networks by Reinforcement Learning with Sequential Model

A Daily Tourism Demand Prediction Framework Based on Multi-head
  Attention CNN: The Case of The Foreign Entrant in South Korea

Optimizing for In-memory Deep Learning with Emerging Memory Technology

Highly accelerated MR parametric mapping by undersampling the k-space
  and reducing the contrast number simultaneously with deep learning

Unleashing the Potential of Unsupervised Pre-Training with
  Intra-Identity Regularization for Person Re-Identification

Asymmetric error control under imperfect supervision: a
  label-noise-adjusted Neyman-Pearson umbrella algorithm

Forward Operator Estimation in Generative Models with Kernel Transfer
  Operators

Total-Body Low-Dose CT Image Denoising using Prior Knowledge Transfer
  Technique with Contrastive Regularization Mechanism

Graph Convolutional Module for Temporal Action Localization in Videos

Uncertainty in Criminal Justice Algorithms: simulation studies of the
  Pennsylvania Additive Classification Tool

Analyzing High-Resolution Clouds and Convection using Multi-Channel VAEs

Exploring Social Posterior Collapse in Variational Autoencoder for
  Interaction Modeling

Unsupervised Statistical Learning for Die Analysis in Ancient
  Numismatics

Topic Analysis of Superconductivity Literature by Semantic Non-negative

Wiki to Automotive: Understanding the Distribution Shift and its impact
  on Named Entity Recognition

Synthetic Design: An Optimization Approach to Experimental Design with
  Synthetic Controls

Learning from Mistakes based on Class Weighting with Application to

CAMA: Energy and Memory Efficient Automata Processing in
  Content-Addressable Memories

Training BatchNorm Only in Neural Architecture Search and Beyond

Simulation platform for pattern recognition based on reservoir computing
  with memristor networks

Adversarial Attacks Against Deep Generative Models on Data: A Survey

AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated
  Objects via Few-shot Interactions

True or False: Does the Deep Learning Model Learn to Detect Rumors?

Imbalanced Graph Classification via Graph-of-Graph Neural Networks

VoRTX: Volumetric 3D Reconstruction With Transformers for Voxelwise View
  Selection and Fusion

Convergence of GANs Training: A Game and Stochastic Control Methodology

A generic physics-informed neural network-based framework for
  reliability assessment of multi-state systems

Scalable Primitives for Generalized Sensor Fusion in Autonomous Vehicles

Deliberation of Streaming RNN-Transducer by Non-autoregressive Decoding

Minimax Analysis for Inverse Risk in Nonparametric Planer Invertible

Detecting Extratropical Cyclones of the Northern Hemisphere with Single
  Shot Detector

Is the use of Deep Learning and Artificial Intelligence an appropriate
  means to locate debris in the ocean without harming aquatic wildlife?

Light Field Implicit Representation for Flexible Resolution

Descriptive vs. inferential community detection in networks: pitfalls,
  myths, and half-truths

Maliva: Using Machine Learning to Rewrite Visualization Queries Under
  Time Constraints

SpaceEdit: Learning a Unified Editing Space for Open-Domain Image
  Editing

A collection of the accepted abstracts for the Machine Learning for
  Health (ML4H) symposium 2021

Improving Differentiable Architecture Search with a Generative Model

3D Photo Stylization: Learning to Generate Stylized Novel Views from a
  Single Image

TALISMAN: Targeted Active Learning for Object Detection with Rare
  Classes and Slices using Submodular Mutual Information

Representation learning through cross-modal conditional teacher-student
  training for speech emotion recognition

Solving reward-collecting problems with UAVs: a comparison of online
  optimization and Q-learning

How to quantify fields or textures? A guide to the scattering transform

CovidAlert -- A Wristwatch-based System to Alert Users from Face
  Touching

Risk-based implementation of COLREGs for autonomous surface vehicles
  using deep reinforcement learning

Show Your Work: Scratchpads for Intermediate Computation with Language
  Models

Leveraging Intrinsic Gradient Information for Further Training of
  Differentiable Machine Learning Models

New Methods and Simulations for Cosmogenic Induced Spallation Removal in
  Super-Kamiokande-IV

Hierarchical clustering: visualization, feature importance and model
  selection

Causal Analysis and Classification of Traffic Crash Injury Severity

A Multi-purposed Unsupervised Framework for Comparing Embeddings of
  Undirected and Directed Graphs

What to Learn, and How: Toward Effective Learning from Rationales

Boosting EfficientNets Ensemble Performance via Pseudo-Labels and
  Synthetic Images by pix2pixHD for Infection and Ischaemia Classification in
  Diabetic Foot Ulcers

Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context
  Images via Online Resources

Evaluating Gradient Inversion Attacks and Defenses in Federated Learning

Task2Sim : Towards Effective Pre-training and Transfer from Synthetic
  Data

Sentiment Analysis and Effect of COVID-19 Pandemic using College
  SubReddit Data

Pixelated Butterfly: Simple and Efficient Sparse training for Neural
  Network Models

Log-Gaussian Cox Process Modeling of Large Spatial Lightning Data using
  Spectral and Laplace Approximations

Predicting Poverty Level from Satellite Imagery using Deep Neural
  Networks

AdaViT: Adaptive Vision Transformers for Efficient Image Recognition

HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing

Generative Adversarial Network (GAN) and Enhanced Root Mean Square Error
  (ERMSE): Deep Learning for Stock Price Movement Prediction

Leveraging The Topological Consistencies of Learning in Deep Neural
  Networks

The Exponentially Tilted Gaussian Prior for Variational Autoencoders

Survey Descent: A Multipoint Generalization of Gradient Descent for
  Nonsmooth Optimization

Diffusion Autoencoders: Toward a Meaningful and Decodable Representation

Chemical Identification and Indexing in PubMed Articles via BERT and
  Text-to-Text Approaches

The MIS Check-Dam Dataset for Object Detection and Instance Segmentation
  Tasks

Robust Partial-to-Partial Point Cloud Registration in a Full Range

Synthetic weather radar using hybrid quantum-classical machine learning

Surrogate-based optimization using an artificial neural network for a
  parameter identification in a 3D marine ecosystem model

Legacy of the First Workshop on Gravitational Wave Astrophysics for
  Early Career Scientists

Machine-Learning-Based Exchange-Correlation Functional with Physical
  Asymptotic Constraints

MapReader: A Computer Vision Pipeline for the Semantic Exploration of
  Maps at Scale

An Exact Algorithm for Semi-supervised Minimum Sum-of-Squares Clustering

ViSTRA3: Video Coding with Deep Parameter Adaptation and Post Processing

Embedding Principle: a hierarchical structure of loss landscape of deep

Multi-Object Grasping -- Estimating the Number of Objects in a Robotic
  Grasp

RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising

What Do You See in this Patient? Behavioral Testing of Clinical NLP
  Models

Assessment of Data Consistency through Cascades of Independently
  Recurrent Inference Machines for fast and robust accelerated MRI

Bayesian Modelling of Multivalued Power Curves from an Operational Wind
  Farm

FROB: Few-shot ROBust Model for Classification and Out-of-Distribution
  Detection

Playing Ping Pong with Light: Directional Emission of White Light

ST-MFNet: A Spatio-Temporal Multi-Flow Network for Frame Interpolation

Energy-Efficient Inference on the Edge Exploiting TinyML Capabilities
  for UAVs

A Scheme of Channel Prediction Based on Artificial Neural Network

Energy-Efficient Design for a NOMA assisted STAR-RIS Network with Deep

Probabilistic segmentation of overlapping galaxies for large
  cosmological surveys

Boosting Discriminative Visual Representation Learning with
  Scenario-Agnostic Mixup

On the Generalization of Agricultural Drought Classification from
  Climate Data

Reliability Assessment and Safety Arguments for Machine Learning
  Components in System Assurance

The radio continuum perspective on cosmic-ray transport in external
  galaxies

KARL-Trans-NER: Knowledge Aware Representation Learning for Named Entity
  Recognition using Transformers

TiWS-iForest: Isolation Forest in Weakly Supervised and Tiny ML
  scenarios

Binary Independent Component Analysis: A Non-stationarity-based Approach

The Devil is in the Margin: Margin-based Label Smoothing for Network

Efficient and robust high-dimensional sparse logistic regression via
  nonlinear primal-dual hybrid gradient algorithms

Hierarchical Prototype Networks for Continual Graph Representation
  Learning

Minor changes make a difference: a case study on the consistency of
  UD-based dependency parsers

Fully Automatic Deep Learning Framework for Pancreatic Ductal
  Adenocarcinoma Detection on Computed Tomography

CT-block: a novel local and global features extractor for point cloud

Generic and adaptive probabilistic safety assessment models: Precursor
  analysis and multi-purpose utilization

Continuous Control With Ensemble Deep Deterministic Policy Gradients

Text classification problems via BERT embedding method and graph

Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding

Seeking Salient Facial Regions for Cross-Database Micro-Expression

Material Classification Using Active Temperature Controllable Robotic
  Gripper

Fast and Real-time End to End Control in Autonomous Racing Cars Through

SmartReviews: Towards Human- and Machine-actionable Representation of
  Review Articles

ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point
  Clouds

Modelling hetegeneous treatment effects by quantitle local polynomial
  decision tree and forest

DiffSDFSim: Differentiable Rigid-Body Dynamics With Implicit Shapes

AutoDrop: Training Deep Learning Models with Automatic Learning Rate
  Drop

On reducing the order of arm-passes bandit streaming algorithms under
  memory bottleneck

TridentAdapt: Learning Domain-invariance via Source-Target Confrontation
  and Self-induced Cross-domain Augmentation

Generating Rich Product Descriptions for Conversational E-commerce
  Systems

On the challenges of using D-Wave computers to sample Boltzmann Random
  Variables

HelixMO: Sample-Efficient Molecular Optimization in Scene-Sensitive

Affect-DML: Context-Aware One-Shot Recognition of Human Affect using

Two-stage Temporal Modelling Framework for Video-based Depression
  Recognition using Graph Representation

Approximate Spectral Decomposition of Fisher Information Matrix for
  Simple ReLU Networks

ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via
  Regularized Domain Concatenation

Global Convergence Using Policy Gradient Methods for Model-free
  Markovian Jump Linear Quadratic Control

Point Cloud Instance Segmentation with Semi-supervised Bounding-Box
  Mining

NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds
  using Needle Dropping

Benchmark Static API Call Datasets for Malware Family Classification

Contrastive Learning for Local and Global Learning MRI Reconstruction

PGNets: Planet mass prediction using convolutional neural networks for
  radio continuum observations of protoplanetary disks

PlantStereo: A Stereo Matching Benchmark for Plant Surface Dense

HyperPCA: a Powerful Tool to Extract Elemental Maps from Noisy Data
  Obtained in LIBS Mapping of Materials

Automatic Synthesis of Diverse Weak Supervision Sources for Behavior
  Analysis

Zero-Shot Semantic Segmentation via Spatial and Multi-Scale Aware Visual
  Class Embedding

A Highly Effective Low-Rank Compression of Deep Neural Networks with
  Modified Beam-Search and Modified Stable Rank

Sparse deep computer-generated holography for optical microscopy

Machine Learning Study on the Flat-Band States Constructed by
  Molecular-Orbital Representation with Randomness

Learning Large-Time-Step Molecular Dynamics with Graph Neural Networks

Improvement in Machine Translation with Generative Adversarial Networks

CLIP Meets Video Captioning: Concept-Aware Representation Learning Does
  Matter

Mitigating Adversarial Attacks by Distributing Different Copies to
  Different Users

CycleTransGAN-EVC: A CycleGAN-based Emotional Voice Conversion Model
  with Transformer

Automated Speech Scoring System Under The Lens: Evaluating and
  interpreting the linguistic cues for language proficiency

SAVER: Safe Learning-Based Controller for Real-Time Voltage Regulation

Decoding the Protein-ligand Interactions Using Parallel Graph Neural
  Networks

HEAT: Holistic Edge Attention Transformer for Structured Reconstruction

Path Integral Sampler: a stochastic control approach for sampling

Breaking the Linear Iteration Cost Barrier for Some Well-known
  Conditional Gradient Methods Using MaxIP Data-structures

Beyond Periodicity: Towards a Unifying Framework for Activations in
  Coordinate-MLPs

In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image
  Domains

Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust
  Road Extraction

AugLiChem: Data Augmentation Library of Chemical Structures for Machine
  Learning

Automatic tracing of mandibular canal pathways using deep learning

RawArray: A Simple, Fast, and Extensible Archival Format for Numeric
  Data

A novel data-driven algorithm to predict anomalous prescription based on
  patient's feature set

Trust the Critics: Generatorless and Multipurpose WGANs with Initial
  Convergence Guarantees

EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs

Learning to Predict Persona Information forDialogue Personalization
  without Explicit Persona Description

MAMRL: Exploiting Multi-agent Meta Reinforcement Learning in WAN Traffic

SurvODE: Extrapolating Gene Expression Distribution for Early Cancer

SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches

Transition Motion Tensor: A Data-Driven Approach for Versatile and
  Controllable Agents in Physically Simulated Environments

Communication-Efficient Federated Learning via Quantized Compressed
  Sensing

MISS: Multi-Interest Self-Supervised Learning Framework for

Second-order Approximation of Minimum Discrimination Information in
  Independent Component Analysis

Camera Distortion-aware 3D Human Pose Estimation in Video with
  Optimization-based Meta-Learning

Online Learning for Predictive Control with Provable Regret Guarantees

X-ray Dissectography Enables Stereotography to Improve Diagnostic

CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data

MOTIF: A Large Malware Reference Dataset with Ground Truth Family Labels

Reinforcement Learning Algorithm for Traffic Steering in Heterogeneous
  Network

A Highly Configurable Hardware/Software Stack for DNN Inference
  Acceleration

MD-inferred neural network monoclinic finite-strain hyperelasticity
  models for $β$-HMX: Sobolev training and validation against physical

Neural Attention for Image Captioning: Review of Outstanding Methods

DeepCQ+: Robust and Scalable Routing with Multi-Agent Deep Reinforcement
  Learning for Highly Dynamic Networks

Player Modeling using Behavioral Signals in Competitive Online Games

Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable
  Prototypes

Harnessing expressive capacity of Machine Learning modeling to represent
  complex coupling of Earth's auroral space weather regimes

Automated Drug-Related Information Extraction from French Clinical
  Documents: ReLyfe Approach

The Impact of Data Distribution on Fairness and Robustness in Federated
  Learning

Adversarial Training for a Hybrid Approach to Aspect-Based Sentiment
  Analysis

Continuous conditional generative adversarial networks for data-driven
  solutions of poroelasticity with heterogeneous material properties

A Natural Language Processing and Deep Learning based Model for
  Automated Vehicle Diagnostics using Free-Text Customer Service Reports

Temperature- and vacancy-concentration-dependence of heat transport in
  Li$_3$ClO from multi-method numerical simulations

MultiPath++: Efficient Information Fusion and Trajectory Aggregation for
  Behavior Prediction

Classification of animal sounds in a hyperdiverse rainforest using

A Fast Non-parametric Approach for Local Causal Structure Learning

Improving the Segmentation of Pediatric Low-Grade Gliomas through

Third-Party Hardware IP Assurance against Trojans through Supervised
  Learning and Post-processing

Privacy-Preserving Serverless Edge Learning with Decentralized Small
  Data

Expressive Communication: A Common Framework for Evaluating Developments
  in Generative Models and Steering Interfaces

Metallicities in M dwarfs: Investigating different determination

Forecasting battery capacity and power degradation with multi-task
  learning

Generative Adversarial Networks with Conditional Neural Movement
  Primitives for An Interactive Generative Drawing Tool

Learning with Noisy Labels by Efficient Transition Matrix Estimation to
  Combat Label Miscorrection

Architecture Matters: Investigating the Influence of Differential
  Privacy on Neural Network Design

Equitable modelling of brain imaging by counterfactual augmentation with
  morphologically constrained 3D deep generative models

Optimizing High-Dimensional Physics Simulations via Composite Bayesian

Learning Multiple Dense Prediction Tasks from Partially Annotated Data

Rigorous data-driven computation of spectral properties of Koopman
  operators for dynamical systems

DAFormer: Improving Network Architectures and Training Strategies for
  Domain-Adaptive Semantic Segmentation

Weighing the Milky Way and Andromeda with Artificial Intelligence

Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via
  Generalized Straight-Through Estimation

Latent Transformations via NeuralODEs for GAN-based Image Editing

End-to-End Referring Video Object Segmentation with Multimodal

Towards Robust and Adaptive Motion Forecasting: A Causal Representation

Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point
  Modeling

Symmetrically colored Gaussian graphical models with toric vanishing
  ideal

Computer Vision Aided Beam Tracking in A Real-World Millimeter Wave

UBoCo : Unsupervised Boundary Contrastive Learning for Generic Event

Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image
  Analysis

Comparing Machine Learning and Interpolation Methods for Loop-Level
  Calculations

Contextual Combinatorial Volatile Bandits with Satisfying via Gaussian
  Processes

A Graph Deep Learning Framework for High-Level Synthesis Design Space

Adaptive First- and Second-Order Algorithms for Large-Scale Machine
  Learning

Automated Benchmark-Driven Design and Explanation of Hyperparameter
  Optimizers

A Simple Long-Tailed Recognition Baseline via Vision-Language Model

Domain Adaptation of Networks for Camera Pose Estimation: Learning
  Camera Pose Estimation Without Pose Labels

Beyond Time-Average Convergence: Near-Optimal Uncoupled Online Learning
  via Clairvoyant Multiplicative Weights Update

Crime Prediction with Graph Neural Networks and Multivariate Normal

Understanding Out-of-distribution: A Perspective of Data Dynamics

Energy-Efficient Techniques for UAVs in Communication-based Applications

Do Invariances in Deep Neural Networks Align with Human Perception?

Prediction of Large Magnetic Moment Materials With Graph Neural Networks
  and Random Forests

SAGCI-System: Towards Sample-Efficient, Generalizable, Compositional,
  and Incremental Robot Learning

Evaluation of Machine Learning Techniques for Forecast Uncertainty

Speech Tasks Relevant to Sleepiness Determined with Deep Transfer
  Learning

Anomaly Localization in Model Gradients Under Backdoor Attacks Against

Human-machine Symbiosis: A Multivariate Perspective for Physically
  Coupled Human-machine Systems

Graph Embedding via High Dimensional Model Representation for

Online MAP Inference and Learning for Nonsymmetric Determinantal Point
  Processes

Advancing Artificial Intelligence and Machine Learning in the U.S.
  Government Through Improved Public Competitions

3D Compositional Zero-shot Learning with DeCompositional Consensus

ClimART: A Benchmark Dataset for Emulating Atmospheric Radiative
  Transfer in Weather and Climate Models

An in-depth experimental study of sensor usage and visual reasoning of
  robots navigating in real environments

Direct multi-modal inversion of geophysical logs using deep learning

Learning Graphon Mean Field Games and Approximate Nash Equilibria

diffConv: Analyzing Irregular Point Clouds with an Irregular View

FedHM: Efficient Federated Learning for Heterogeneous Models via
  Low-rank Factorization

Buildings Classification using Very High Resolution Satellite Imagery

MUNet: Motion Uncertainty-aware Semi-supervised Video Object

Radio-Frequency Multi-Mode OAM Detection Based on UCA Samples Learning

Improving Zero-shot Generalization in Offline Reinforcement Learning
  using Generalized Similarity Functions

Weakly-supervised Generative Adversarial Networks for medical image

Quantifying the Computational Capability of a Nanomagnetic Reservoir
  Computing Platform with Emergent Magnetization Dynamics

Multi-UAV Conflict Resolution with Graph Convolutional Reinforcement
  Learning

Overcoming the Domain Gap in Contrastive Learning of Neural Action

GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with
  Semi-Supervised Learning and Explicit Policy Injection

The information content of jet quenching and machine learning assisted
  observable design

Similarity Contrastive Estimation for Self-Supervised Soft Contrastive
  Learning

Catch Me If You Hear Me: Audio-Visual Navigation in Complex Unmapped
  Environments with Moving Sounds

Do We Still Need Automatic Speech Recognition for Spoken Language
  Understanding?

Amortized Implicit Differentiation for Stochastic Bilevel Optimization

Recurrent Vision Transformer for Solving Visual Reasoning Problems

On the rate of convergence of a classifier based on a Transformer
  encoder

MedRDF: A Robust and Retrain-Less Diagnostic Framework for Medical
  Pretrained Models Against Adversarial Attack

BP-Net: Efficient Deep Learning for Continuous Arterial Blood Pressure
  Estimation using Photoplethysmogram

Robust On-Policy Sampling for Data-Efficient Policy Evaluation in

Rapid search for massive black hole binary coalescences using deep
  learning

Understanding over-squashing and bottlenecks on graphs via curvature

Conceptually Diverse Base Model Selection for Meta-Learners in Concept
  Drifting Data Streams

Model-Based End-to-End Learning for WDM Systems With Transceiver
  Hardware Impairments

SPIN: Simplifying Polar Invariance for Neural networks Application to
  vision-based irradiance forecasting

New PCA-based Category Encoder for Cybersecurity and Processing Data in
  IoT Devices

Scalable Machine Learning Architecture for Neonatal Seizure Detection on
  Ultra-Edge Devices

On the Effectiveness of Neural Ensembles for Image Classification with
  Small Datasets

Evaluating Privacy-Preserving Machine Learning in Critical
  Infrastructures: A Case Study on Time-Series Classification

Mixed Precision Low-bit Quantization of Neural Network Language Models
  for Speech Recognition

p2pGNN: A Decentralized Graph Neural Network for Node Classification in
  Peer-to-Peer Networks

Just Least Squares: Binary Compressive Sampling with Low Generative
  Intrinsic Dimension

Energy-Efficient Implementation of Generative Adversarial Networks on
  Passive RRAM Crossbar Arrays

Mixed Precision DNN Qunatization for Overlapped Speech Separation and

Learning-Based Video Coding with Joint Deep Compression and Enhancement

Motion-from-Blur: 3D Shape and Motion Estimation of Motion-blurred
  Objects in Videos

TsFeX: Contact Tracing Model using Time Series Feature Extraction and
  Gradient Boosting

ZeroCap: Zero-Shot Image-to-Text Generation for Visual-Semantic
  Arithmetic

Decomposition of stellar populations in CosmoDC2 galaxies using SCARLET

K-nearest neighbour and dynamic time warping for online signature
  verification

Robust Federated Learning for execution time-based device model
  identification under label-flipping attack

Self-Training of Halfspaces with Generalization Guarantees under Massart
  Mislabeling Noise Model

IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on
  Binary Decisions

Mixed Precision of Quantization of Transformer Language Models for

Being Patient and Persistent: Optimizing An Early Stopping Strategy for
  Deep Learning in Profiled Attacks

PGGANet: Pose Guided Graph Attention Network for Person

Lightweight Deep Learning Architecture for MPI Correction and Transient

Low-bit Quantization of Recurrent Neural Network Language Models Using
  Alternating Direction Methods of Multipliers

Enhanced Transfer Learning Through Medical Imaging and Patient
  Demographic Data Fusion

Online Fair Revenue Maximizing Cake Division with Non-Contiguous Pieces
  in Adversarial Bandits

Collective Intelligence for Deep Learning: A Survey of Recent
  Developments

Self-supervised Autoregressive Domain Adaptation for Time Series Data

IDR: Self-Supervised Image Denoising via Iterative Data Refinement

Responding to Challenge Call of Machine Learning Model Development in
  Diagnosing Respiratory Disease Sounds

Semi-supervised Domain Adaptation via Sample-to-Sample Self-Distillation

Physics-informed Evolutionary Strategy based Control for Mitigating
  Delayed Voltage Recovery

A Causal Approach for Unfair Edge Prioritization and Discrimination
  Removal

Efficient Federated Learning for AIoT Applications Using Knowledge

Pessimistic Model Selection for Offline Deep Reinforcement Learning

SPATL: Salient Parameter Aggregation and Transfer Learning for
  Heterogeneous Clients in Federated Learning

Heterogeneous Visible-Thermal and Visible-Infrared Face Recognition
  using Unit-Class Loss and Cross-Modality Discriminator

Improving Deep Learning Interpretability by Saliency Guided Training

Sparse DETR: Efficient End-to-End Object Detection with Learnable
  Sparsity

Is the Rush to Machine Learning Jeopardizing Safety? Results of a Survey

SwiftSRGAN -- Rethinking Super-Resolution for Efficient and Real-time
  Inference

TinyDefectNet: Highly Compact Deep Neural Network Architecture for
  High-Throughput Manufacturing Visual Quality Inspection

A General Framework for Defending Against Backdoor Attacks via Influence
  Graph

SimCLAD: A Simple Framework for Contrastive Learning of Acronym
  Disambiguation

Data Augmentation For Medical MR Image Using Generative Adversarial
  Networks

Towards Autonomous Driving of Personal Mobility with Small and Noisy
  Dataset using Tsallis-statistics-based Behavioral Cloning

TAL: Two-stream Adaptive Learning for Generalizable Person

Improving random walk rankings with feature selection and imputation

Customer Sentiment Analysis using Weak Supervision for Customer-Agent
  Chat

Radio Frequency Fingerprint Identification for Security in Low-Cost IoT
  Devices

Identification of Subgroups With Similar Benefits in Off-Policy Policy

ExCon: Explanation-driven Supervised Contrastive Learning for Image

Explore the Potential Performance of Vision-and-Language Navigation
  Model: a Snapshot Ensemble Method

3D High-Quality Magnetic Resonance Image Restoration in Clinics Using

Search for Optimal Systolic Arrays: A Comprehensive Automated
  Exploration Framework and Lessons Learned

False Data Injection Threats in Active Distribution Systems: A

Learning a model of shape selectivity in V4 cells reveals shape encoding
  mechanisms in the brain

A Survey of Large-Scale Deep Learning Serving System Optimization:
  Challenges and Opportunities

Payoff landscapes and the robustness of selfish optimization in iterated
  games

Schema matching using Gaussian mixture models with Wasserstein distance

EffCNet: An Efficient CondenseNet for Image Classification on NXP
  BlueBox

Detecting Adversaries, yet Faltering to Noise? Leveraging Conditional
  Variational AutoEncoders for Adversary Detection in the Presence of Noisy
  Images

Long-range and hierarchical language predictions in brains and

On the Robustness and Generalization of Deep Learning Driven Full
  Waveform Inversion

Local Learning Matters: Rethinking Data Heterogeneity in Federated
  Learning

Count-Based Temperature Scheduling for Maximum Entropy Reinforcement
  Learning

Neural Symplectic Integrator with Hamiltonian Inductive Bias for the
  Gravitational $N$-body Problem

MALIGN: Adversarially Robust Malware Family Detection using Sequence
  Alignment

Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel
  Attribute Synthesis

Evaluating Generalization and Transfer Capacity of Multi-Agent
  Reinforcement Learning Across Variable Number of Agents

Dimensionality Reduction of Longitudinal 'Omics Data using Modern Tensor

Multi-domain Integrative Swin Transformer network for Sparse-View
  Tomographic Reconstruction

Learning Physical Concepts in Cyber-Physical Systems: A Case Study

Computational Complexity of Normalizing Constants for the Product of
  Determinantal Point Processes

FashionSearchNet-v2: Learning Attribute Representations with
  Localization for Image Retrieval with Attribute Manipulation

Agility in Software 2.0 -- Notebook Interfaces and MLOps with Buttresses
  and Rebars

Speaker Embedding-aware Neural Diarization for Flexible Number of
  Speakers with Textual Information

RPS: Portfolio Asset Selection using Graph based Representation Learning

AirSPEC: An IoT-empowered Air Quality Monitoring System integrated with
  a Machine Learning Framework to Detect and Predict defined Air Quality
  parameters

Cross-Task Consistency Learning Framework for Multi-Task Learning

Imbalanced data preprocessing techniques utilizing local data

Enhancing Identification of Structure Function of Academic Articles
  Using Contextual Information

Enhancing Keyphrase Extraction from Academic Articles with their
  Reference Information

Bayesian Data Fusion of Imperfect Fission Yields for Augmented
  Evaluations

Topic Driven Adaptive Network for Cross-Domain Sentiment Classification

Deep Molecular Representation Learning via Fusing Physical and Chemical

Escape saddle points by a simple gradient-descent based algorithm

Siamese Neural Encoders for Long-Term Indoor Localization with Mobile
  Devices

ESGN: Efficient Stereo Geometry Network for Fast 3D Object Detection

Towards Conditional Generation of Minimal Action Potential Pathways for
  Molecular Dynamics

Enabling Fast Deep Learning on Tiny Energy-Harvesting IoT Devices

Neural Tangent Kernel of Matrix Product States: Convergence and

Generalization Performance of Empirical Risk Minimization on
  Over-parameterized Deep ReLU Nets

Statically Detecting Adversarial Malware through Randomised Chaining

Pre-training Recommender Systems via Reinforced Attentive
  Multi-relational Graph Neural Network

ORCHARD: A Benchmark For Measuring Systematic Generalization of
  Multi-Hierarchical Reasoning

FastTrees: Parallel Latent Tree-Induction for Faster Sequence Encoding

Unsupervised Domain Adaptive Person Re-Identification via Human Learning
  Imitation

Federated Gaussian Process: Convergence, Automatic Personalization and
  Multi-fidelity Modeling

An Entropy Weighted Nonnegative Matrix Factorization Algorithm for
  Feature Representation

Answer Generation for Questions With Multiple Information Sources in

Targeted Supervised Contrastive Learning for Long-Tailed Recognition

Wound Healing Modeling Using Partial Differential Equation and Deep
  Learning

Multi-modality fusion using canonical correlation analysis methods:
  Application in breast cancer survival prediction from histology and genomics

NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in

Kilometer-scale autonomous navigation in subarctic forests: challenges
  and lessons learned

Forecasting Daily COVID-19 Related Calls in VA Health Care System:
  Predictive Model Development

Deep Q-Learning based Reinforcement Learning Approach for Network

Abusive and Threatening Language Detection in Urdu using Boosting based
  and BERT based models: A Comparative Approach

Exploring Transformer Based Models to Identify Hate Speech and Offensive
  Content in English and Indo-Aryan Languages

Label Assistant: A Workflow for Assisted Data Annotation in Image
  Segmentation Tasks

Reinforcement Learning-based Switching Controller for a Milliscale Robot
  in a Constrained Environment

Energy-Efficient Autonomous Driving Using Cognitive Driver Behavioral
  Models and Reinforcement Learning

Benchmarking Accuracy and Generalizability of Four Graph Neural Networks
  Using Large In Vitro ADME Datasets from Different Chemical Spaces

Leveraging Unsupervised Learning to Summarize APIs Discussed in Stack
  Overflow

Understanding Anharmonic Effects on Hydrogen Desorption Characteristics
  of Mg$_n$H$_{2n}$ Nanoclusters by ab initio trained Deep Neural Network

A Recommender System-Inspired Cloud Data Filling Scheme for
  Satellite-based Coastal Observation

Calibrated Feature Decomposition for Generalizable Person

Resource-Aware Asynchronous Online Federated Learning for Nonlinear

A Practical Contrastive Learning Framework for Single Image

Learning A 3D-CNN and Transformer Prior for Hyperspectral Image

Sparse Subspace Clustering Friendly Deep Dictionary Learning for

The Physics of Machine Learning: An Intuitive Introduction for the
  Physical Scientist

Fast and Informative Model Selection using Learning Curve
  Cross-Validation

A Quantum-like Model for Predicting Human Decisions in the Entangled
  Social Systems

Towards Understanding the Impact of Model Size on Differential Private

Head and Body: Unified Detector and Graph Network for Person Search in
  Media

Automated Antenna Testing Using Encoder-Decoder-based Anomaly Detection

ML-based Handover Prediction and AP Selection in Cognitive Wi-Fi
  Networks

A dual semismooth Newton based augmented Lagrangian method for
  large-scale linearly constrained sparse group square-root Lasso problems

DSAG: A mixed synchronous-asynchronous iterative method for
  straggler-resilient learning

Learning Discriminative Shrinkage Deep Networks for Image Deconvolution

AIS: A nonlinear activation function for industrial safety engineering

A novel knowledge graph development for industry design: A case study on
  indirect coal liquefaction process

Adaptive Image Transformations for Transfer-based Adversarial Attack

Federated Deep Learning in Electricity Forecasting: An MCDM Approach

A Convolutional Autoencoder-Based Pipeline for Anomaly Detection and
  Classification of Periodic Variables

On Learning Domain-Invariant Representations for Transfer Learning with
  Multiple Sources

Recovery of Continuous 3D Refractive Index Maps from Discrete
  Intensity-Only Measurements using Neural Fields

GATER: Learning Grasp-Action-Target Embeddings and Relations for
  Task-Specific Grasping

Achieving an Accurate Random Process Model for PV Power using Cheap
  Data: Leveraging the SDE and Public Weather Reports

The empirical study of e-learning post-acceptance after the spread of
  COVID-19: A multi-analytical approach based hybrid SEM-ANN

Offline Neural Contextual Bandits: Pessimism, Optimization and

Learning to Transfer for Traffic Forecasting via Multi-task Learning

Feature Selection for Causal Inference from High Dimensional
  Observational Data with Outcome Adaptive Elastic Net

A Review on Graph Neural Network Methods in Financial Applications

LAFITE: Towards Language-Free Training for Text-to-Image Generation

High-structure and its impact on performance gaps in large-enrollment
  frosh courses

Learning from learning machines: a new generation of AI technology to
  meet the needs of science

OmiTrans: generative adversarial networks based omics-to-omics
  translation framework

Common Sense Knowledge Learning for Open Vocabulary Neural Reasoning: A
  First View into Chronic Disease Literature

Online Causal Inference with Application to Near Real-Time Post-Market
  Vaccine Safety Surveillance

Efficient prediction of grain boundary energies from atomistic
  simulations via sequential design

Online Bayesian Optimization for Beam Alignment in the SECAR Recoil Mass
  Separator

Towards Efficient Ansatz Architecture for Variational Quantum Algorithms

BCH-NLP at BioCreative VII Track 3: medications detection in tweets
  using transformer networks and multi-task learning

SARS-CoV-2 Dissemination using a Network of the United States Counties

A Ubiquitous Unifying Degeneracy in Two-Body Microlensing Systems

On the combination of graph data for assessing thin-file borrowers'
  creditworthiness

3D shape sensing and deep learning-based segmentation of strawberries

Amazon SageMaker Model Monitor: A System for Real-Time Insights into
  Deployed Machine Learning Models

Do Language Models Have Beliefs? Methods for Detecting, Updating, and
  Visualizing Model Beliefs

Contrastive Object-level Pre-training with Spatial Noise Curriculum
  Learning

Dimension Reduction with Prior Information for Knowledge Discovery

Efficient Multi-Organ Segmentation Using SpatialConfiguration-Net with
  Low GPU Memory Requirements

Nonequilibrium Monte Carlo for unfreezing variables in hard
  combinatorial optimization

Correlation Based Feature Subset Selection for Multivariate Time-Series
  Data

Optimal Design of Experiments for Simulation-Based Inference of
  Mechanistic Acyclic Biological Networks

A Reinforcement Learning Approach for the Continuous Electricity Market
  of Germany: Trading from the Perspective of a Wind Park Operator

A Novel GPR-Based Prediction Model for Cylic Backbone Curves of
  Reinforced Concrete Shear Walls

Graph-based Solutions with Residuals for Intrusion Detection: the
  Modified E-GraphSAGE and E-ResGAT Algorithms

VL-LTR: Learning Class-wise Visual-Linguistic Representation for
  Long-Tailed Visual Recognition

Asian Giant Hornet Control based on Image Processing and Biological
  Dispersal

Teaching Undergraduate Students to Think Like Real-World Systems
  Engineers: A Technology-Based Hybrid Learning Approach

On Recurrent Neural Networks for learning-based control: recent results
  and ideas for future developments

Using Fictitious Class Representations to Boost Discriminative Zero-Shot
  Learners

$μ$NCA: Texture Generation with Ultra-Compact Neural Cellular Automata

Uncovering the Dark Side of Telegram: Fakes, Clones, Scams, and
  Conspiracy Movements

Not All Relations are Equal: Mining Informative Labels for Scene Graph

Using Shapley Values and Variational Autoencoders to Explain Predictive
  Models with Dependent Mixed Features

Traffic flow brake light model simulation based on driver behavior
  learning

SurfEmb: Dense and Continuous Correspondence Distributions for Object
  Pose Estimation with Learnt Surface Embeddings

When Creators Meet the Metaverse: A Survey on Computational Arts

Learning Long-Term Reward Redistribution via Randomized Return

Reciprocating probe measurements in the test divertor operation phase of
  Wendelstein 7-X

TDAM: Top-Down Attention Module for Contextually Guided Feature
  Selection in CNNs

High Reynolds number airfoil turbulence modeling method based on machine
  learning technique

Measuring Data Quality for Dataset Selection in Offline Reinforcement
  Learning

Morphology Decoder: A Machine Learning Guided 3D Vision Quantifying
  Heterogenous Rock Permeability for Planetary Surveillance and Robotic
  Functions

An Investigation on Learning, Polluting, and Unlearning the Spam Emails
  for Lifelong Learning

A Novel Machine Learning Approach to Data Inconsistency with respect to
  a Fuzzy Relation

Towards Explainable End-to-End Prostate Cancer Relapse Prediction from
  H&E Images Combining Self-Attention Multiple Instance Learning with a

Keep It Unbiased: A Comparison Between Estimation of Distribution
  Algorithms and Deep Learning for Human Interaction-Free Side-Channel Analysis

ContIG: Self-supervised Multimodal Contrastive Learning for Medical
  Imaging with Genetics

ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision
  Medicine

Modeling Annotator Preference and Stochastic Annotation Error for

DSNet: Dynamic Skin Deformation Prediction by Recurrent Neural Network

Deep Learning for Reaction-Diffusion Glioma Growth Modelling: Towards a
  Fully Personalised Model?

Deep Learning for automated phase segmentation in EBSD maps. A case
  study in Dual Phase steel microstructures

A Learned-SVD approach for Regularization in Diffuse Optical Tomography

Non-IID data and Continual Learning processes in Federated Learning: A
  long road ahead

A deep learning based reduced order modeling for stochastic underground
  flow problems

Cyclic Graph Attentive Match Encoder (CGAME): A Novel Neural Network For
  OD Estimation

PicArrange -- Visually Sort, Search, and Explore Private Images on a Mac
  Computer

Geometric Multimodal Deep Learning with Multi-Scaled Graph Wavelet

Neural Collaborative Graph Machines for Table Structure Recognition

Jointly Learning Agent and Lane Information for Multimodal Trajectory

Active Learning for Event Extraction with Memory-based Loss Prediction
  Model

A multitask transfer learning framework for the prediction of
  virus-human protein-protein interactions

Testability-Aware Low Power Controller Design with Evolutionary Learning

Impact of classification difficulty on the weight matrices spectra in
  Deep Learning and application to early-stopping

ArchRepair: Block-Level Architecture-Oriented Repairing for Deep Neural
  Networks

A Variational Inference Approach to Inverse Problems with Gamma
  Hyperpriors

Random-reshuffled SARAH does not need a full gradient computations

Learning source-aware representations of music in a discrete latent
  space

Using Machine Learning to Predict Poverty Status in Costa Rican
  Households

Amercing: An Intuitive, Elegant and Effective Constraint for Dynamic
  Time Warping

Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural
  Network for Phase Retrieval of Meromorphic Functions

Equivalence between algorithmic instability and transition to replica
  symmetry breaking in perceptron learning systems

Simple Contrastive Representation Adversarial Learning for NLP Tasks

TEGDetector: A Phishing Detector that Knows Evolving Transaction
  Behaviors

A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

Exploiting full Resolution Feature Context for Liver Tumor and Vessel
  Segmentation via Integrate Framework: Application to Liver Tumor and Vessel
  3D Reconstruction under embedded microprocessor

Latent Space based Memory Replay for Continual Learning in Artificial

Generative Adversarial Networks and Adversarial Autoencoders: Tutorial
  and Survey

Negative curvature obstructs acceleration for geodesically convex
  optimization, even with exact first-order oracles

Learning from Temporal Gradient for Semi-supervised Action Recognition

Towards Modularity Optimization Using Reinforcement Learning to
  Community Detection in Dynamic Social Networks

Look at here : Utilizing supervision to attend subtle key regions

FedDropoutAvg: Generalizable federated learning for histopathology image

A Kernel Test for Causal Association via Noise Contrastive Backdoor

Differentially private stochastic expectation propagation (DP-SEP)

OTB-morph: One-Time Biometrics via Morphing applied to Face Templates

Mitigating Noise-Induced Gradient Vanishing in Variational Quantum
  Algorithm Training

Evaluation of Interpretability for Deep Learning algorithms in EEG
  Emotion Recognition: A case study in Autism

BaLeNAS: Differentiable Architecture Search via the Bayesian Learning
  Rule

New Approaches to Long Document Summarization: Fourier Transform Based
  Attention in a Transformer Model

SwinBERT: End-to-End Transformers with Sparse Attention for Video

Variational Gibbs inference for statistical model estimation from
  incomplete data

Intrinsic Dimension, Persistent Homology and Generalization in Neural
  Networks

Neural network stochastic differential equation models with applications
  to financial data forecasting

Semantic-Aware Generation for Self-Supervised Visual Representation
  Learning

Transformer-based Korean Pretrained Language Models: A Survey on Three
  Years of Progress

Global Interaction Modelling in Vision Transformer via Super Tokens

Country-wide Retrieval of Forest Structure From Optical and SAR
  Satellite Imagery With Bayesian Deep Learning

Scene Representation Transformer: Geometry-Free Novel View Synthesis
  Through Set-Latent Scene Representations

A Comparative Analysis of Machine Learning Techniques for IoT Intrusion
  Detection

Ontology-Based Skill Description Learning for Flexible Production
  Systems

TunBERT: Pretrained Contextualized Text Representation for Tunisian
  Dialect

Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models

Interesting Object, Curious Agent: Learning Task-Agnostic Exploration

VaxNeRF: Revisiting the Classic for Voxel-Accelerated Neural Radiance
  Field

QNNVerifier: A Tool for Verifying Neural Networks using SMT-Based Model
  Checking

Learning Debiased Models with Dynamic Gradient Alignment and
  Bias-conflicting Sample Mining

A Novel Framework for Image-to-image Translation and Image Compression

GeomNet: A Neural Network Based on Riemannian Geometries of SPD Matrix
  Space and Cholesky Space for 3D Skeleton-Based Interaction Recognition

Few-Shot Real Image Super-resolution via Distortion-Relation Guided

Predicting the success of Gradient Descent for a particular
  Dataset-Architecture-Initialization (DAI)

Exploring Versatile Prior for Human Motion via Motion Frequency Guidance

Neuronal Learning Analysis using Cycle-Consistent Adversarial Networks

Continual Active Learning Using Pseudo-Domains for Limited Labelling
  Resources and Changing Acquisition Characteristics

DeepJSCC-Q: Channel Input Constrained Deep Joint Source-Channel Coding

Learning dynamical systems from data: A simple cross-validation
  perspective, part III: Irregularly-Sampled Time Series

Spectral and spatial power evolution design with machine
  learning-enabled Raman amplification

Rotation Equivariant 3D Hand Mesh Generation from a Single RGB Image

Does constituency analysis enhance domain-specific pre-trained BERT
  models for relation extraction?

Generalizing electrocardiogram delineation -- Training convolutional
  neural networks with synthetic data augmentation

Learning Low-Dimensional Quadratic-Embeddings of High-Fidelity Nonlinear
  Dynamics using Deep Learning

PolyViT: Co-training Vision Transformers on Images, Videos and Audio

Non Parametric Data Augmentations Improve Deep-Learning based Brain
  Tumor Segmentation

Learning Algebraic Representation for Systematic Generalization in
  Abstract Reasoning

Improving Teacher-Student Interactions in Online Educational Forums
  using a Markov Chain based Stackelberg Game Model

A-Muze-Net: Music Generation by Composing the Harmony based on the
  Generated Melody

Investigation of domain gap problem in several deep-learning-based CT
  metal artefact reduction methods

Efficient Mean Estimation with Pure Differential Privacy via a
  Sum-of-Squares Exponential Mechanism

Spatio-Temporal Joint Graph Convolutional Networks for Traffic

High-pressure phase behaviors of titanium dioxide revealed by a
  $Δ$-learning potential

Towards Practical Deployment-Stage Backdoor Attack on Deep Neural
  Networks

Error Bounds for a Matrix-Vector Product Approximation with Deep ReLU

Distributed Policy Gradient with Variance Reduction in Multi-Agent

Learn Zero-Constraint-Violation Policy in Model-Free Constrained

AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020

Reliable Graph Neural Networks for Drug Discovery Under Distributional
  Shift

Direct Training via Backpropagation for Ultra-low Latency Spiking Neural
  Networks with Multi-threshold

Exploiting Both Domain-specific and Invariant Knowledge via a Win-win
  Transformer for Unsupervised Domain Adaptation

Towards Fewer Annotations: Active Learning via Region Impurity and
  Prediction Uncertainty for Domain Adaptive Semantic Segmentation

An Overview of Healthcare Data Analytics With Applications to the
  COVID-19 Pandemic

SCLAiR : Supervised Contrastive Learning for User and Device Independent
  Airwriting Recognition

A Softmax-free Loss Function Based on Predefined Optimal-distribution of
  Latent Features for Deep Learning Classifier

Rethinking Generic Camera Models for Deep Single Image Camera
  Calibration to Recover Rotation and Fisheye Distortion

ContourletNet: A Generalized Rain Removal Architecture Using
  Multi-Direction Hierarchical Representation

Joint stereo 3D object detection and implicit surface reconstruction

Discovering Superhard B-N-O Compounds by Iterative Machine Learning and
  Evolutionary Structure Predictions

ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image

Fragment-based molecular generative model with high generalization
  ability and synthetic accessibility

Robustness against Adversarial Attacks in Neural Networks using
  Incremental Dissipativity

Perturbed and Strict Mean Teachers for Semi-supervised Semantic

SLA$^2$P: Self-supervised Anomaly Detection with Adversarial

Attend to Who You Are: Supervising Self-Attention for Keypoint Detection
  and Instance-Aware Association

Morphological feature visualization of Alzheimer's disease via
  Multidirectional Perception GAN

Real-world challenges for multi-agent reinforcement learning in
  grid-interactive buildings

Multiway Non-rigid Point Cloud Registration via Learned Functional Map

A Letter on Convergence of In-Parameter-Linear Nonlinear Neural
  Architectures with Gradient Learnings

Time-independent Generalization Bounds for SGLD in Non-convex Settings

Quantised Transforming Auto-Encoders: Achieving Equivariance to
  Arbitrary Transformations in Deep Networks

A Deep Learning Approach for Macroscopic Energy Consumption Prediction
  with Microscopic Quality for Electric Vehicles

Robust Equivariant Imaging: a fully unsupervised framework for learning
  to image from noisy and partial measurements

Extending the Relative Seriality Formalism for Interpretable Deep
  Learning of Normal Tissue Complication Probability Models

Domain Prompt Learning for Efficiently Adapting CLIP to Unseen Domains

Particle Graph Autoencoders and Differentiable, Learned Energy Mover's
  Distance

Animal Behavior Classification via Accelerometry Data and Recurrent

Application of deep learning to camera trap data for ecologists in
  planning / engineering -- Can captivity imagery train a model which
  generalises to the wild?

Geometric Priors for Scientific Generative Models in Inertial
  Confinement Fusion

Out-of-Category Document Identification Using Target-Category Names as

Towards Inter-class and Intra-class Imbalance in Class-imbalanced
  Learning

Algorithm and Hardware Co-design for Reconfigurable CNN Accelerator

Differentially Private Nonparametric Regression Under a Growth Condition

Transferability Estimation using Bhattacharyya Class Separability

Machine Learning for Real-Time, Automatic, and Early Diagnosis of
  Parkinson's Disease by Extracting Signs of Micrographia from Handwriting
  Images

Towards an Efficient Semantic Segmentation Method of ID Cards for
  Verification Systems

Semi-Supervised Audio Classification with Partially Labeled Data

ACNet: Approaching-and-Centralizing Network for Zero-Shot Sketch-Based

Updates to LUCI: A New Fitting Paradigm Using Mixture Density Networks

FCMpy: A Python Module for Constructing and Analyzing Fuzzy Cognitive
  Maps

Needle in a Haystack: Detecting Subtle Malicious Edits to Additive
  Manufacturing G-code Files

Experimental demonstration of adversarial examples in learning
  topological phases

Machine learning assisted Bayesian model comparison: learnt harmonic
  mean estimator

PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers

MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation

MixSyn: Learning Composition and Style for Multi-Source Image Synthesis

Unleashing Transformers: Parallel Token Prediction with Discrete
  Absorbing Diffusion for Fast High-Resolution Image Generation from
  Vector-Quantized Codes

Open-Vocabulary Instance Segmentation via Robust Cross-Modal
  Pseudo-Labeling

A Lightweight Graph Transformer Network for Human Mesh Reconstruction
  from 2D Human Pose

A stacked deep convolutional neural network to predict the remaining
  useful life of a turbofan engine

EgoRenderer: Rendering Human Avatars from Egocentric Camera Images

An XGBoost-Based Forecasting Framework for Product Cannibalization

On the (In)Tractability of Reinforcement Learning for LTL Objectives

Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning

Direct implementation of a perceptron in superconducting circuit quantum
  hardware

Finite-Time Error Bounds for Distributed Linear Stochastic Approximation

MIO : Mutual Information Optimization using Self-Supervised Binary

Information Bottleneck-Based Hebbian Learning Rule Naturally Ties
  Working Memory and Synaptic Updates

Unity is strength: Improving the Detection of Adversarial Examples with
  Ensemble Approaches

Efficient Decompositional Rule Extraction for Deep Neural Networks

PSSL: Self-supervised Learning for Personalized Search with Contrastive
  Sampling

Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing

Deep metric learning improves lab of origin prediction of genetically
  engineered plasmids

Hierarchical Graph-Convolutional Variational AutoEncoding for Generative
  Modelling of Human Motion

Learning State Representations via Retracing in Reinforcement Learning

Lepard: Learning partial point cloud matching in rigid and deformable
  scenes

Towards Cross-Cultural Analysis using Music Information Dynamics

Optimizing Latent Space Directions For GAN-based Local Image Editing

UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose

Diagnosis of sickle cell anemia using AutoML on UV-Vis absorbance
  spectroscopy data

A Method for Evaluating the Capacity of Generative Adversarial Networks
  to Reproduce High-order Spatial Context

Serpens: A High Bandwidth Memory Based Accelerator for General-Purpose
  Sparse Matrix-Vector Multiplication

A modified divide-and-conquer based machine learning method for
  predicting creep life of superalloys

LDDMM meets GANs: Generative Adversarial Networks for diffeomorphic

Improving Customer Service Chatbots with Attention-based Transfer
  Learning

Autonomous bot with ML-based reactive navigation for indoor environment

Rethinking the modeling of the instrumental response of telescopes with
  a differentiable optical model

Non-Intrusive Binaural Speech Intelligibility Prediction from Discrete
  Latent Representations

MorphMLP: An Efficient MLP-Like Backbone for Spatial-Temporal

Mining Meta-indicators of University Ranking: A Machine Learning
  Approach Based on SHAP

TMM-Fast: A Transfer Matrix Computation Package for Multilayer Thin-Film

Causality-inspired Single-source Domain Generalization for Medical Image

Multi-Scale Deep Learning for Estimating Horizontal Velocity Fields on
  the Solar Surface

LightSAFT: Lightweight Latent Source Aware Frequency Transform for
  Source Separation

Deep learning-based reduced order models for the real-time simulation of
  the nonlinear dynamics of microstructures

TriStereoNet: A Trinocular Framework for Multi-baseline Disparity

Meta Mask Correction for Nuclei Segmentation in Histopathological Image

Matching Learned Causal Effects of Neural Networks with Domain Priors

LDP-Net: An Unsupervised Pansharpening Network Based on Learnable
  Degradation Processes

One More Step Towards Reality: Cooperative Bandits with Imperfect

Octree Transformer: Autoregressive 3D Shape Generation on Hierarchically
  Structured Sequences

Selection of pseudo-annotated data for adverse drug reaction
  classification across drug groups

ViCE: Improving Dense Representation Learning by Superpixelization and
  Contrasting Cluster Assignment

3D Shape Variational Autoencoder Latent Disentanglement via Mini-Batch
  Feature Swapping for Bodies and Faces

Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and

CircuitFlow: A Domain Specific Language for Dataflow Programming (with
  appendices)

Auto robust relative radiometric normalization via latent change noise
  modelling

Dictionary-based Low-Rank Approximations and the Mixed Sparse Coding
  problem

Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks

Automated algorithms to build Active Galactic Nuclei classifiers

Fault-Tolerant Perception for Automated Driving A Lightweight Monitoring
  Approach

SPCL: A New Framework for Domain Adaptive Semantic Segmentation via
  Semantic Prototype-based Contrastive Learning

Decoupling Visual-Semantic Feature Learning for Robust Scene Text

Supervised Neural Discrete Universal Denoiser for Adaptive Denoising

Arbitrary Virtual Try-On Network: Characteristics Preservation and
  Trade-off between Body and Clothing

EvDistill: Asynchronous Events to End-task Learning via Bidirectional
  Reconstruction-guided Cross-modal Knowledge Distillation

How does AI play football? An analysis of RL and real-world football
  strategies

Hidden-Fold Networks: Random Recurrent Residuals Using Sparse Supermasks

MonoPLFlowNet: Permutohedral Lattice FlowNet for Real-Scale 3D Scene
  FlowEstimation with Monocular Images

SASH: Efficient Secure Aggregation Based on SHPRG For Federated Learning

Dynamic Texture Recognition using PDV Hashing and Dictionary Learning on
  Multi-scale Volume Local Binary Pattern

RegionCL: Can Simple Region Swapping Contribute to Contrastive Learning?

Efficient and Optimal Algorithms for Contextual Dueling Bandits under
  Realizability

EH-DNAS: End-to-End Hardware-aware Differentiable Neural Architecture
  Search

Animal behavior classification via deep learning on embedded systems

Adaptive Fourier Neural Operators: Efficient Token Mixers for

Utilizing Resource-Rich Language Datasets for End-to-End Scene Text
  Recognition in Resource-Poor Languages

Causal Analysis and Prediction of Human Mobility in the U.S. during the

Distribution Estimation to Automate Transformation Policies for

Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on
  Complex Urban Driving Scenes

APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic

Reinforcement Learning based Path Exploration for Sequential Explainable

Hierarchical Federated Learning based Anomaly Detection using Digital
  Twins for Smart Healthcare

Optimizing the Human Learnability of Abstract Network Representations

PMSSC: Parallelizable Multi-Subset based Self-Expressive Model for
  Subspace Clustering

Universal Deep Network for Steganalysis of Color Image based on Channel

Artificial intelligence enabled radio propagation for
  communications-Part II: Scenario identification and channel modeling

  communications-Part I: Channel characterization and antenna-channel

Source-free unsupervised domain adaptation for cross-modality abdominal
  multi-organ segmentation

Performance of Grover search algorithm with diagonalizable noise

Explainable multiple abnormality classification of chest CT volumes

Ex-DoF: Expansion of Action Degree-of-Freedom with Virtual Camera
  Rotation for Omnidirectional Image

Long-Term CSI-based Design for RIS-Aided Multiuser MISO Systems
  Exploiting Deep Reinforcement Learning

Fixed Points in Cyber Space: Rethinking Optimal Evasion Attacks in the
  Age of AI-NIDS

Multiset-Equivariant Set Prediction with Approximate Implicit

Magnetism in Metastable and Annealed Compositionally Complex Alloys

Identifying Terms and Conditions Important to Consumers using
  Crowdsourcing

Three-Way Deep Neural Network for Radio Frequency Map Generation and

Multi-label Iterated Learning for Image Classification with Label
  Ambiguity

Towards Empirical Sandwich Bounds on the Rate-Distortion Function

Rhythm is a Dancer: Music-Driven Motion Synthesis with Global Structure

Using Language Model to Bootstrap Human Activity Recognition Ambient
  Sensors Based in Smart Homes

In-field early disease recognition of potato late blight based on deep
  learning and proximal hyperspectral imaging

Methodology and feasibility of neurofeedback to improve visual attention
  to letters in mild Alzheimer's disease

Jointly Learning from Decentralized (Federated) and Centralized Data to
  Mitigate Distribution Shift

Binned multinomial logistic regression for integrative cell type
  annotation

Machine Learning Based Forward Solver: An Automatic Framework in gprMax

Sharing to learn and learning to share -- Fitting together
  Meta-Learning, Multi-Task Learning, and Transfer Learning: A meta review

Critical Initialization of Wide and Deep Neural Networks through Partial
  Jacobians: General Theory and Applications

Phenomenological classification of the Zwicky Transient Facility
  astronomical event alerts

Filter Methods for Feature Selection in Supervised Machine Learning
  Applications -- Review and Benchmark

ChebLieNet: Invariant Spectral Graph NNs Turned Equivariant by
  Riemannian Geometry on Lie Groups

Learning Interactive Driving Policies via Data-driven Simulation

Robust Principal Component Analysis: A Construction Error Minimization

On the Unreasonable Effectiveness of Feature propagation in Learning on
  Graphs with Missing Node Features

MICS : Multi-steps, Inverse Consistency and Symmetric deep learning
  registration network

Bounding Box-Free Instance Segmentation Using Semi-Supervised Learning
  for Generating a City-Scale Vehicle Dataset

Event-based anomaly detection for new physics searches at the LHC using

Machine learning synthetic spectra for probabilistic redshift
  estimation: SYTH-Z

Exploration of Dark Chemical Genomics Space via Portal Learning: Applied
  to Targeting the Undruggable Genome and COVID-19 Anti-Infective
  Polypharmacology

Self-Supervised Pre-Training for Transformer-Based Person

VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and
  Policy Learning for Autonomous Vehicles

PhysFormer: Facial Video-based Physiological Measurement with Temporal
  Difference Transformer

Minimizing subject-dependent calibration for BCI with Riemannian

Physics Informed Neural Networks for Control Oriented Thermal Modeling
  of Buildings

Semantic-Aware Collaborative Deep Reinforcement Learning Over Wireless
  Cellular Networks

Simple Stochastic and Online Gradient Descent Algorithms for Pairwise
  Learning

Demystifying Ten Big Ideas and Rules Every Fire Scientist & Engineer
  Should Know About Blackbox, Whitebox & Causal Artificial Intelligence

Stochastic Processes Under Linear Differential Constraints : Application
  to Gaussian Process Regression for the 3 Dimensional Free Space Wave Equation

Adversarial machine learning for protecting against online manipulation

Appliance Level Short-term Load Forecasting via Recurrent Neural Network

Reinforcement Learning for Volt-Var Control: A Novel Two-stage
  Progressive Training Strategy

HERO: Hessian-Enhanced Robust Optimization for Unifying and Improving
  Generalization and Quantization Performance

Is Dynamic Rumor Detection on social media Viable? An Unsupervised

Scalable Learning for Optimal Load Shedding Under Power Grid Emergency

A Review of Web Infodemic Analysis and Detection Trends across
  Multi-modalities using Deep Neural Networks

Reviewing continual learning from the perspective of human-level
  intelligence

ptype-cat: Inferring the Type and Values of Categorical Variables

Depth induces scale-averaging in overparameterized linear Bayesian

An Educated Warm Start For Deep Image Prior-Based Micro CT

Symbol-Based Over-the-Air Digital Predistortion Using Reinforcement
  Learning

No Free Lunch: Balancing Learning and Exploitation at the Network Edge

Can Pre-trained Language Models be Used to Resolve Textual and Semantic
  Merge Conflicts?

Application of Gaussian Processes to online approximation of compressor
  maps for load-sharing in a compressor station

Learning Dynamic Preference Structure Embedding From Temporal Networks

Is this IoT Device Likely to be Secure? Risk Score Prediction for IoT
  Devices Using Gradient Boosting Machines

Variational Learning for Unsupervised Knowledge Grounded Dialogs

Real-time intelligent big data processing: technology, platform, and

Asteroid Flyby Cycler Trajectory Design Using Deep Neural Networks

Reliable Deep Learning based Localization with CSI Fingerprints and
  Multiple Base Stations

Design of Many-Core Big Little μBrain for Energy-Efficient Embedded
  Neuromorphic Computing

Variance Reduction in Deep Learning: More Momentum is All You Need

A General Divergence Modeling Strategy for Salient Object Detection

Learning Representation for Clustering via Prototype Scattering and
  Positive Sampling

Comparison of Models for Training Optical Matrix Multipliers in
  Neuromorphic PICs

Pruning Self-attentions into Convolutional Layers in Single Path

Composing Partial Differential Equations with Physics-Aware Neural
  Networks

Interpreting Machine Learning Models for Room Temperature Prediction in
  Non-domestic Buildings

End-to-End Optimized Arrhythmia Detection Pipeline using Machine
  Learning for Ultra-Edge Devices

A survey on multi-objective hyperparameter optimization algorithms for

Uncertainty estimation under model misspecification in neural network

ReGroup: Recursive Neural Networks for Hierarchical Grouping of Vector
  Graphic Primitives

Understanding the Impact of Data Distribution on Q-learning with

Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance

S-SimCSE: Sampled Sub-networks for Contrastive Learning of Sentence
  Embedding

Deep Residual Fourier Transformation for Single Image Deblurring

AdaFusion: Visual-LiDAR Fusion with Adaptive Weights for Place

ADTOF: A large dataset of non-synthetic music for automatic drum
  transcription

Gait Identification under Surveillance Environment based on Human
  Skeleton

Variational encoder geostatistical analysis (VEGAS) with an application
  to large scale riverine bathymetry

Sample Efficient Imitation Learning via Reward Function Trained in
  Advance

A Multi-Stage model based on YOLOv3 for defect detection in PV panels
  based on IR and Visible Imaging by Unmanned Aerial Vehicle

Deps-SAN: Neural Machine Translation with Dependency-Scaled
  Self-Attention Network

A Contextual Latent Space Model: Subsequence Modulation in Melodic
  Sequence

Unsupervised cross domain learning with applications to 7 layer
  segmentation of OCTs

Status-quo policy gradient in Multi-Agent Reinforcement Learning

Locality Sensitive Hash Aggregated Nonlinear Neighbourhood Matrix
  Factorization for Online Sparse Big Data Analysis

RIO: Rotation-equivariance supervised learning of robust inertial
  odometry

Integrating Imitation Learning with Human Driving Data into
  Reinforcement Learning to Improve Training Efficiency for Autonomous Driving

RadFusion: Benchmarking Performance and Fairness for Multimodal
  Pulmonary Embolism Detection from CT and EHR

Non-invasive hemodynamic analysis for aortic regurgitation using
  computational fluid dynamics and deep learning

Modeling Temporal Concept Receptive Field Dynamically for Untrimmed
  Video Analysis

CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised
  Learning

Inducing Functions through Reinforcement Learning without Task
  Specification

CytoImageNet: A large-scale pretraining dataset for bioimage transfer
  learning

Health Detection on Cattle Compressed Images in Precision Livestock
  Farming

Music Classification: Beyond Supervised Learning, Towards Real-world

Self-Regulated Learning for Egocentric Video Activity Anticipation

Uncertainty-Aware Deep Co-training for Semi-supervised Medical Image

Learning Dynamic Compact Memory Embedding for Deformable Visual Object
  Tracking

A Modular Framework for Centrality and Clustering in Complex Networks

Using mixup as regularization and tuning hyper-parameters for ResNets

Effect of noise suppression losses on speech distortion and ASR
  performance

Autonomous optimization of nonaqueous battery electrolytes via robotic
  experimentation and machine learning

Machine learning-based porosity estimation from spectral decomposed
  seismic data

Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time
  Mobile Acceleration

Generative Adversarial Networks for Astronomical Images Generation

Building Goal-Oriented Dialogue Systems with Situated Visual Context

FLIX: A Simple and Communication-Efficient Alternative to Local Methods

SNAD Transient Miner: Finding Missed Transient Events in ZTF DR4 using
  k-D trees

Dynamic Regret for Strongly Adaptive Methods and Optimality of Online
  KRR

Depth Without the Magic: Inductive Bias of Natural Gradient Descent

Ice hockey player identification via transformers and weakly supervised
  learning

A Quantum Annealing Approach to Reduce Covid-19 Spread on College
  Campuses

Bayesian Robust Learning in Chain Graph Models for Integrative
  Pharmacogenomics

Component Transfer Learning for Deep RL Based on Abstract

Development and Validation of MicrobEx: an Open-Source Package for
  Microbiology Culture Concept Extraction

Shape-Dependent Multi-Weight Magnetic Artificial Synapses for

Blockchain-based Recommender Systems: Applications, Challenges and
  Future Opportunities

A Comparison of State-of-the-Art Techniques for Generating Adversarial
  Malware Binaries

A Free Lunch from the Noise: Provable and Practical Exploration for

Graph Neural Networks with Parallel Neighborhood Aggregations for Graph

Prediction Model for Mortality Analysis of Pregnant Women Affected With
  COVID-19

Probing the Structure of String Theory Vacua with Genetic Algorithms and

Drone flight data reveal energy and greenhouse gas emissions savings for
  small package delivery

Simulation Study and At Home Diagnostic Tool for Early Detection of
  Parkinsons Disease

Quenching, bursting and galaxy shapes: colour transformation as a
  function of morphology

RedCaps: web-curated image-text data created by the people, for the
  people

Benchmarking Detection Transfer Learning with Vision Transformers

Implicit Quantile Neural Networks for Jet Simulation and Correction

Anomaly-resistant Graph Neural Networks via Neural Architecture Search

Balancing Efficiency and Comfort in Robot-Assisted Bite Transfer

Why Do Self-Supervised Models Transfer? Investigating the Impact of
  Invariance on Downstream Tasks

Lebanon Solar Rooftop Potential Assessment using Buildings Segmentation
  from Aerial Images

Conifer Seedling Detection in UAV-Imagery with RGB-Depth Information

Improved Model based Deep Learning using Monotone Operator Learning
  (MOL)

pmSensing: A Participatory Sensing Network for Predictive Monitoring of
  Particulate Matter

An application of reinforcement learning to residential energy storage
  under real-time pricing

FFNB: Forgetting-Free Neural Blocks for Deep Continual Visual Learning

A Surrogate Objective Framework for Prediction+Optimization with Soft

ShufaNet: Classification method for calligraphers who have reached the
  professional level

ProxyFL: Decentralized Federated Learning through Proxy Model Sharing

Network-wide Multi-step Traffic Volume Prediction using Graph
  Convolutional Gated Recurrent Neural Network

Towards Improving Embedding Based Models of Social Network Alignment via
  Pseudo Anchors

Cycle Consistent Probability Divergences Across Different Spaces

DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion

Private and polynomial time algorithms for learning Gaussians and beyond

The Generalized Cascade Click Model: A Unified Framework for Estimating
  Click Models

No-Regret Dynamics in the Fenchel Game: A Unified Framework for
  Algorithmic Convex Optimization

Machine Learning of Thermodynamic Observables in the Presence of Mode
  Collapse

SSR: An Efficient and Robust Framework for Learning with Unknown Label
  Noise

Bridging the reality gap in quantum devices with physics-aware machine
  learning

Branching Time Active Inference: empirical study and complexity class
  analysis

Functional Model of Residential Consumption Elasticity under Dynamic
  Tariffs

SOMPS-Net : Attention based social graph framework for early detection
  of fake health news

Automated cross-sectional view selection in CT angiography of aortic
  dissections with uncertainty awareness and retrospective clinical annotations

Synergistic coupling in ab initio-machine learning simulations of
  dislocations

MiNet: A Convolutional Neural Network for Identifying and Categorising
  Minerals

Citation network applications in a scientific co-authorship recommender
  system

Prediction of Probabilistic Transient Stability Using Support Vector
  Machine

Nanorobot queue: Cooperative treatment of cancer based on team member
  communication and image processing

Policy Gradient and Actor-Critic Learning in Continuous Time and Space:
  Theory and Algorithms

Improvement of the NOvA Near Detector Event Reconstruction and Primary
  Vertexing through the Application of Machine Learning Methods

Transfer Learning with Gaussian Processes for Bayesian Optimization

Deep Learning Based Automated COVID-19 Classification from Computed

Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement
  Learning with Actor Rectification

Towards a Principled Learning Rate Adaptation for Natural Evolution

Image prediction of disease progression by style-based manifold
  extrapolation

Towards Understanding the Unreasonable Effectiveness of Learning AC-OPF
  Solutions

Feature extraction of machine learning and phase transition point of
  Ising model

Time Series Prediction about Air Quality using LSTM-Based Models: A
  Systematic Mapping

Improved Reinforcement Learning Pushing Policies via Heuristic Rules

Robust Visual Odometry Using Position-Aware Flow and Geometric Bundle

Distinguishing Engagement Facets: An Essential Component for AI-based
  Healthcare

Myope Models -- Are face presentation attack detection models
  short-sighted?

Indirect Learning of Interatomic Potentials for Accelerated Materials

Case-based off-policy policy evaluation using prototype learning

Unsupervised Time Series Outlier Detection with Diversity-Driven
  Convolutional Ensembles -- Extended Version

Deformable image registration with deep network priors: a study on
  longitudinal PET images

UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning
  Leveraging Planning

FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks

Comparing the Accuracy of Deep Neural Networks (DNN) and Convolutional
  Neural Network (CNN) in Music Genre Recognition (MGR): Experiments on Kurdish
  Music

Learning to Aggregate Multi-Scale Context for Instance Segmentation in
  Remote Sensing Images

Evaluating Adversarial Attacks on ImageNet: A Reality Check on
  Misclassification Classes

DAPPER: Performance Estimation of Domain Adaptation in Mobile Sensing

IAD: Indirect Anomalous VMMs Detection in the Cloud-based Environment

Contrast-reconstruction Representation Learning for Self-supervised

Exploring Segment-level Semantics for Online Phase Recognition from
  Surgical Videos

DBIA: Data-free Backdoor Injection Attack against Transformer Networks

Episodic Multi-agent Reinforcement Learning with Curiosity-Driven

Auto-Encoding Score Distribution Regression for Action Quality

Benchmarking emergency department triage prediction models with machine
  learning and large public electronic health records

Gradient Temporal Difference with Momentum: Stability and Convergence

Easy representation of multivariate functions with low-dimensional terms
  via Gaussian process regression kernel design: applications to machine
  learning of potential energy surfaces and kinetic energy densities from
  sparse data

Ensemble-SINDy: Robust sparse model discovery in the low-data,
  high-noise limit, with active learning and control

Imperceptible Transfer Attack and Defense on 3D Point Cloud

Exploring Feature Representation Learning for Semi-supervised Medical

A Semi-Supervised Adaptive Discriminative Discretization Method
  Improving Discrimination Power of Regularized Naive Bayes

Tracking Grow-Finish Pigs Across Large Pens Using Multiple Cameras

Multi-agent Bayesian Deep Reinforcement Learning for Microgrid Energy
  Management under Communication Failures

Enhancing Multilingual Language Model with Massive Multilingual
  Knowledge Triples

Real-World Dexterous Object Manipulation based Deep Reinforcement
  Learning

MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object
  Detection

Hierarchical Knowledge Distillation for Dialogue Sequence Labeling

Generation Drawing/Grinding Trajectoy Based on Hierarchical CVAE

Hybrid Imitative Planning with Geometric and Predictive Costs in
  Off-road Environments

How do kernel-based sensor fusion algorithms behave under high
  dimensional noise?

Adaptive Transfer Learning: a simple but effective transfer learning

Privacy-preserving Federated Adversarial Domain Adaption over Feature
  Groups for Interpretability

Decentralized Multi-Armed Bandit Can Outperform Classic Upper Confidence
  Bound

Self-supervised Semi-supervised Learning for Data Labeling and Quality

WalkingTime: Dynamic Graph Embedding Using Temporal-Topological Flows

High robustness quantum walk search algorithm with qudit Householder
  traversing coin, machine learning study

Offline Reinforcement Learning: Fundamental Barriers for Value Function

Deep Reinforced Attention Regression for Partial Sketch Based Image
  Retrieval

Johnson Coverage Hypothesis: Inapproximability of k-means and k-median
  in L_p metrics

Dynamic Analysis of Nonlinear Civil Engineering Structures using
  Artificial Neural Network with Adaptive Training

Renewable energy integration and microgrid energy trading using
  multi-agent deep reinforcement learning

Health Monitoring of Industrial machines using Scene-Aware Threshold
  Selection

Deep Image Prior using Stein's Unbiased Risk Estimator: SURE-DIP

Joint alignment and reconstruction of multislice dynamic MRI using
  variational manifold learning

Dynamic imaging using motion-compensated smoothness regularization on
  manifolds (MoCo-SToRM)

Geometry-Aware Multi-Task Learning for Binaural Audio Generation from
  Video

Dataset of Solution-based Inorganic Materials Synthesis Recipes
  Extracted from the Scientific Literature

CpT: Convolutional Point Transformer for 3D Point Cloud Processing

Bilevel learning of l1-regularizers with closed-form gradients(BLORC)

XnODR and XnIDR: Two Accurate and Fast Fully Connected Layers For

Jointly Dynamic Topic Model for Recognition of Lead-lag Relationship in
  Two Text Corpora

A hybrid optimization approach for employee rostering: Use cases at
  Swissgrid and lessons learned

Denoised Internal Models: a Brain-Inspired Autoencoder against

A linear adjustment based approach to posterior drift in transfer
  learning

Optimized Deployment of Unmanned Aerial Vehicles for Wildfire Detection
  and Monitoring

Simple circuit simulations of classical and quantum Turing machines

Domain Generalization for Mammography Detection via Multi-style and
  Multi-view Contrastive Learning

A Blockchain-Based Approach for Collaborative Formalization of
  Mathematics and Programs

Customizing an Affective Tutoring System Based on Facial Expression and
  Head Pose Estimation

Experience-Enhanced Learning: One Size Still does not Fit All in
  Automatic Database

Vulcan: Solving the Steiner Tree Problem with Graph Neural Networks and

A Data-Driven Line Search Rule for Support Recovery in High-dimensional

Structure-Preserving Graph Kernel for Brain Network Classification

FreqNet: A Frequency-domain Image Super-Resolution Network with Dicrete
  Cosine Transform

HoughCL: Finding Better Positive Pairs in Dense Self-supervised Learning

Challenging Machine Learning-based Clone Detectors via
  Semantic-preserving Code Transformations

DuDoTrans: Dual-Domain Transformer Provides More Attention for Sinogram
  Restoration in Sparse-View CT Reconstruction

Subject-Independent Drowsiness Recognition from Single-Channel EEG with
  an Interpretable CNN-LSTM model

Modelling Direct Messaging Networks with Multiple Recipients for Cyber
  Deception

Automatic Detection of Depression from Stratified Samples of Audio Data

A Case Study on the Independence of Speech Emotion Recognition in Bangla
  and English Languages using Language-Independent Prosodic Features

Efficient Softmax Approximation for Deep Neural Networks with Attention
  Mechanism

Design of an Novel Spectrum Sensing Scheme Based on Long Short-Term
  Memory and Experimental Validation

Adversarial Mask: Real-World Universal Adversarial Attack on Face
  Recognition Model

TraVLR: Now You See It, Now You Don't! Evaluating Cross-Modal Transfer
  of Visio-Linguistic Reasoning

Secure Linear Aggregation Using Decentralized Threshold Additive
  Homomorphic Encryption For Federated Learning

Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the

Physics-informed neural networks for solving thermo-mechanics problems
  of functionally graded material

Sub-galactic scaling relations with T$_{\rm e}$-based metallicity of low
  metallicity regions in galaxies: metal-poor gas inflow may have important
  effects?

MaIL: A Unified Mask-Image-Language Trimodal Network for Referring Image

3D Visual Tracking Framework with Deep Learning for Asteroid Exploration

Decreasing False Alarm Rates in ML-based Solar Flare Prediction using
  SDO/HMI Data

Correlation Clustering via Strong Triadic Closure Labeling: Fast
  Approximation Algorithms and Practical Lower Bounds

Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming

Students' attitudes toward experimental physics in a conceptual
  inquiry-based introductory physics lab

Image-Like Graph Representations for Improved Molecular Property

Representing Prior Knowledge Using Randomly, Weighted Feature Networks
  for Visual Relationship Detection

"Everyone is new to this": Student reflections on different aspects of
  online learning

A Review on The Division of Magnetic Resonant Prostate Images with Deep
  Learning

Doing More by Doing Less: How Structured Partial Backpropagation
  Improves Deep Learning Clusters

Q-Learning Based Energy-Efficient Network Planning in IP-over-EON

Generalizing Graph Neural Networks on Out-Of-Distribution Graphs

Simple End-to-end Deep Learning Model for CDR-H3 Loop Structure

The downside of heterogeneity: How established relations counteract
  systemic adaptivity in tasks assignments

Implicit Acoustic Echo Cancellation for Keyword Spotting and
  Device-Directed Speech Detection

HeterPS: Distributed Deep Learning With Reinforcement Learning Based
  Scheduling in Heterogeneous Environments

Identity-Preserving Pose-Robust Face Hallucination Through Face Subspace
  Prior

Sparse Tensor-based Multiscale Representation for Point Cloud Geometry

Calculus of Consent via MARL: Legitimating the Collaborative Governance
  Supplying Public Goods

Explainable Biomedical Recommendations via Reinforcement Learning
  Reasoning on Knowledge Graphs

FlowVOS: Weakly-Supervised Visual Warping for Detail-Preserving and
  Temporally Consistent Single-Shot Video Object Segmentation

Medical Knowledge-Guided Deep Learning for Imbalanced Medical Image

Extracting Deformation-Aware Local Features by Learning to Deform

A photosensor employing data-driven binning for ultrafast image

Constrained Deep One-Class Feature Learning For Classifying Imbalanced

Building Object-based Causal Programs for Human-like Generalization

Exploiting Multi-Scale Fusion, Spatial Attention and Patch Interaction
  Techniques for Text-Independent Writer Identification

Reasonable Effectiveness of Random Weighting: A Litmus Test for

Semi-supervised Impedance Inversion by Bayesian Neural Network Based on
  2-d CNN Pre-training

AGA-GAN: Attribute Guided Attention Generative Adversarial Network with
  U-Net for Face Hallucination

Vehicular Visible Light Communications Noise Analysis and Autoencoder
  Based Denoising

Generating meta-learning tasks to evolve parametric loss for
  classification learning

Contact conductance governs metallicity in conducting metal oxide
  nanocrystal films

Teacher-Student Training and Triplet Loss to Reduce the Effect of
  Drastic Face Occlusion

Learning Non-Stationary Time-Series with Dynamic Pattern Extractions

HybNet: A Hybrid Deep Learning -- Matched Filter Approach for IoT Signal
  Detection

Accelerating non-LTE synthesis and inversions with graph networks

Triples-to-Text Generation with Reinforcement Learning Based
  Graph-augmented Neural Networks

Using a nested anomaly detection machine learning algorithm to study the
  neutral triple gauge couplings at an \texorpdfstring{$e^+e^-$}{e+e-} collider

Graph-augmented Learning to Rank for Querying Large-scale Knowledge
  Graph

Edge-Enhanced Global Disentangled Graph Neural Network for Sequential

A Neural Network Model of the Entorhinal Cortex and Hippocampus for
  Event-order Memory Processing

Temporal-MPI: Enabling Multi-Plane Images for Dynamic Scene Modelling
  via Temporal Basis Learning

FAMINet: Learning Real-time Semi-supervised Video Object Segmentation
  with Steepest Optimized Optical Flow

Kalman filters as the steady-state solution of gradient descent on
  variational free energy

Incentive Mechanisms for Federated Learning: From Economic and Game
  Theoretic Perspective

Adversarial Sampling for Solving Differential Equations with Neural
  Networks

ACR-Pose: Adversarial Canonical Representation Reconstruction Network
  for Category Level 6D Object Pose Estimation

Precise Learning of Source Code Contextual Semantics via Hierarchical
  Dependence Structure and Graph Attention Networks

Data Processing Matters: SRPH-Konvergen AI's Machine Translation System
  for WMT'21

Broadband Digital Over-the-Air Computation for Asynchronous Federated
  Edge Learning

Exploring Language Patterns in a Medical Licensure Exam Item Bank

Combining Data-driven Supervision with Human-in-the-loop Feedback for
  Entity Resolution

Innovative System Design for Remote Air Traffic Control Simulation
  Training on and beyond COVID19

Discrete Representations Strengthen Vision Transformer Robustness

Feature selection or extraction decision process for clustering using
  PCA and FRSD

Predicting High-Flow Nasal Cannula Failure in an ICU Using a Recurrent
  Neural Network with Transfer Learning and Input Data Perseveration: A
  Retrospective Analysis

Modeling Design and Control Problems Involving Neural Network Surrogates

Imitation and Supervised Learning of Compliance for Robotic Assembly

Inter-Domain Fusion for Enhanced Intrusion Detection in Power Systems:
  An Evidence Theoretic and Meta-Heuristic Approach

Weakly Supervised Prototype Topic Model with Discriminative Seed Words:
  Modifying the Category Prior by Self-exploring Supervised Signals

Zero-Shot Certified Defense against Adversarial Patches with Vision

SNPs Filtered by Allele Frequency Improve the Prediction of Hypertension
  Subtypes

Simulation of quantum physics with Tensor Processing Units: brute-force
  computation of ground states and time evolution

Gaussian Process Inference Using Mini-batch Stochastic Gradient Descent:
  Convergence Guarantees and Empirical Benefits

Identifying Population Movements with Non-Negative Matrix Factorization
  from Wi-Fi User Counts in Smart and Connected Cities

MURAL: An Unsupervised Random Forest-Based Embedding for Electronic
  Health Record Data

Dynamic Graph Representation Learning via Graph Transformer Networks

Evaluation of automated airway morphological quantification for
  assessing fibrosing lung disease

Machine Learning for Mechanical Ventilation Control (Extended Abstract)

DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic
  Integration for Volume Rendering

Automated, Targeted Testing of Property-Based Testing Predicates

RacketStore: Measurements of ASO Deception in Google Play via Mobile and
  App Usage

What Stops Learning-based 3D Registration from Working in the Real
  World?

SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation
  on Natural Speech

Generalized Decision Transformer for Offline Hindsight Information
  Matching

MicroBooNE and the $ν_e$ Interpretation of the MiniBooNE Low-Energy
  Excess

Novel EEG based Schizophrenia Detection with IoMT Framework for Smart

Global and Local Alignment Networks for Unpaired Image-to-Image

Maximum Mean Discrepancy for Generalization in the Presence of
  Distribution and Missingness Shift

GRecX: An Efficient and Unified Benchmark for GNN-based Recommendation

Bi-Mix: Bidirectional Mixing for Domain Adaptive Nighttime Semantic

Advancing High-Resolution Video-Language Representation with Large-Scale
  Video Transcriptions

Model-agnostic bias mitigation methods with regressor distribution
  control for Wasserstein-based fairness metrics

DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion

Toward Compact Parameter Representations for Architecture-Agnostic
  Neural Network Compression

Unsupervised Visual Time-Series Representation Learning and Clustering

Compresion y analisis de imagenes por medio de algoritmos para la
  ganaderia de precision

Instance-Adaptive Video Compression: Improving Neural Codecs by Training
  on the Test Set

An Asymptotic Equivalence between the Mean-Shift Algorithm and the
  Cluster Tree

A 3D 2D convolutional Neural Network Model for Hyperspectral Image

Machine Learning-Based Soft Sensors for Vacuum Distillation Unit

Resilience from Diversity: Population-based approach to harden models
  against adversarial attacks

Diabetic Foot Ulcer Grand Challenge 2021: Evaluation and Summary

Pointer over Attention: An Improved Bangla Text Summarization Approach
  Using Hybrid Pointer Generator Network

SpeedyIBL: A Comprehensive, Precise, and Fast Implementation of
  Instance-Based Learning Theory

Over-the-Air Federated Learning with Retransmissions (Extended Version)

ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object

An Analysis of the Influence of Transfer Learning When Measuring the
  Tortuosity of Blood Vessels

Non asymptotic bounds in asynchronous sum-weight gossip protocols

Fast and Data-Efficient Training of Rainbow: an Experimental Study on
  Atari

Learning-Based Repetitive Precision Motion Control with Mismatch
  Compensation

Ubi-SleepNet: Advanced Multimodal Fusion Techniques for Three-stage
  Sleep Classification Using Ubiquitous Sensing

Posterior concentration and fast convergence rates for generalized
  Bayesian learning

Interpreting deep urban sound classification using Layer-wise Relevance

Policy Gradient Approach to Compilation of Variational Quantum Circuits

Toxicity Detection can be Sensitive to the Conversational Context

Semi-Supervised Domain Generalization in Real World: New Benchmark and
  Strong Baseline

Analysis of autocorrelation times in Neural Markov Chain Monte Carlo

Population based change-point detection for the identification of
  homozygosity islands

Computing Graph Edit Distance with Algorithms on Quantum Devices

Understanding Training-Data Leakage from Gradients in Neural Networks
  for Image Classification

Prosodic Clustering for Phoneme-level Prosody Control in End-to-End

Randomized Algorithms for Monotone Submodular Function Maximization on
  the Integer Lattice

Word-Level Style Control for Expressive, Non-attentive Speech Synthesis

Client Selection in Federated Learning based on Gradients Importance

Improved Prosodic Clustering for Multispeaker and Speaker-independent
  Phoneme-level Prosody Control

UEFI virtual machine firmware hardening through snapshots and attack
  surface reduction

Small Changes Make Big Differences: Improving Multi-turn Response
  Selection in Dialogue Systems via Fine-Grained Contrastive Learning

Improved Method of Stock Trading under Reinforcement Learning Based on
  DRQN and Sentiment Indicators ARBR

Learning in High-Dimensional Feature Spaces Using ANOVA-Based Fast
  Matrix-Vector Multiplication

Learning to Detect Instance-level Salient Objects Using Complementary
  Image Labels

An Improved Reinforcement Learning Model Based on Sentiment Analysis

A Large Scale Benchmark for Individual Treatment Effect Prediction and
  Uplift Modeling

Uncertainty-aware Low-Rank Q-Matrix Estimation for Deep Reinforcement
  Learning

Graph Neural Networks with Feature and Structure Aware Random Walk

RecGURU: Adversarial Learning of Generalized User Representations for

Resistance-Time Co-Modulated PointNet for Temporal Super-Resolution
  Simulation of Blood Vessel Flows

Data imputation and comparison of custom ensemble models with existing
  libraries like XGBoost, Scikit learn, etc. for Predictive Equipment failure

Action Recognition with Domain Invariant Features of Skeleton Image

Measuring Vulnerabilities of Malware Detectors with
  Explainability-Guided Evasion Attacks

Evaluating Self and Semi-Supervised Methods for Remote Sensing

Defeating Catastrophic Forgetting via Enhanced Orthogonal Weights
  Modification

Enhanced countering adversarial attacks via input denoising and feature
  restoring

Assessment of Fetal and Maternal Well-Being During Pregnancy Using
  Passive Wearable Inertial Sensor

An Activity-Based Model of Transport Demand for Greater Melbourne

DeepQR: Neural-based Quality Ratings for Learnersourced Multiple-Choice
  Questions

Towards Efficiently Evaluating the Robustness of Deep Neural Networks in
  IoT Systems: A GAN-based Method

Unsupervised Learning Architecture for Classifying the Transient Noise
  of Interferometric Gravitational-wave Detectors

A Worker-Task Specialization Model for Crowdsourcing: Efficient
  Inference and Fundamental Limits

Reconstructing the Hubble diagram of gamma-ray bursts using deep
  learning

Uniform Brackets, Containers, and Combinatorial Macbeath Regions

Semi-supervised transfer learning for language expansion of end-to-end
  speech recognition models to low-resource languages

YMIR: A Rapid Data-centric Development Platform for Vision Applications

ColDE: A Depth Estimation Framework for Colonoscopy Reconstruction

Spatio-Temporal Modeling for Flash Memory Channels Using Conditional
  Generative Nets

Meta Clustering Learning for Large-scale Unsupervised Person

E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks
  with Emerging Neural Encoding on FPGAs

IC-U-Net: A U-Net-based Denoising Autoencoder Using Mixtures of
  Independent Components for Automatic EEG Artifact Removal

UFO: A UniFied TransfOrmer for Vision-Language Representation Learning

Learn Quasi-stationary Distributions of Finite State Markov Chain

Rethinking Query, Key, and Value Embedding in Vision Transformer under
  Tiny Model Constraints

UN-AVOIDS: Unsupervised and Nonparametric Approach for Visualizing
  Outliers and Invariant Detection Scoring

ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier
  that Validates 301 New Exoplanets

Reinforcement Learning with Adaptive Curriculum Dynamics Randomization
  for Fault-Tolerant Robot Control

Exploring glassy dynamics with Markov state models from graph dynamical

Esophageal virtual disease landscape using mechanics-informed machine
  learning

Gaussian Determinantal Processes: a new model for directionality in data

Towards Measuring Fairness in Speech Recognition: Casual Conversations
  Dataset Transcriptions

Second-Order Mirror Descent: Convergence in Games Beyond Averaging and
  Discounting

M2A: Motion Aware Attention for Accurate Video Action Recognition

Malfustection: Obfuscated Malware Detection and Malware Classification
  with Data Shortage by Combining Semi-Supervised and Contrastive Learning

Learning Robust Output Control Barrier Functions from Safe Expert

Deep IDA: A Deep Learning Method for Integrative Discriminant Analysis
  of Multi-View Data with Feature Ranking -- An Application to COVID-19
  severity

Beyond NDCG: behavioral testing of recommender systems with RecList

A Review of Adversarial Attack and Defense for Classification Methods

MS-nowcasting: Operational Precipitation Nowcasting with Convolutional
  LSTMs at Microsoft Weather

Explainable predictions of different machine learning algorithms used to
  predict Early Stage diabetes

Finding Useful Predictions by Meta-gradient Descent to Improve
  Decision-making

Loss Functions for Discrete Contextual Pricing with Observational Data

Learning To Estimate Regions Of Attraction Of Autonomous Dynamical
  Systems Using Physics-Informed Neural Networks

Visual Goal-Directed Meta-Learning with Contextual Planning Networks

A transformer-based model for default prediction in mid-cap corporate
  markets

Stochastic optimization for learning quantum state feedback control

Restormer: Efficient Transformer for High-Resolution Image Restoration

A big data intelligence marketplace and secure analytics experimentation
  platform for the aviation industry

A Secure Experimentation Sandbox for the design and execution of trusted
  and secure analytics in the aviation domain

Successor Feature Landmarks for Long-Horizon Goal-Conditioned

The Effects of Learning in Morphologically Evolving Robot Systems

Edge-preserving Domain Adaptation for semantic segmentation of Medical
  Images

GCR: Gradient Coreset Based Replay Buffer Selection For Continual
  Learning

Causal Forecasting:Generalization Bounds for Autoregressive Models

Exploring the Limits of Epistemic Uncertainty Quantification in Low-Shot
  Settings

DICE: Leveraging Sparsification for Out-of-Distribution Detection

Reinforcement Learning on Human Decision Models for Uniquely
  Collaborative AI Teammates

Unsupervised Online Learning for Robotic Interestingness with Visual
  Memory

MCCE: Monte Carlo sampling of realistic counterfactual explanations

Near-Optimal Quantum Algorithms for Multivariate Mean Estimation

Locally Learned Synaptic Dropout for Complete Bayesian Inference

The Way to my Heart is through Contrastive Learning: Remote
  Photoplethysmography from Unlabelled Video

Covered Information Disentanglement: Model Transparency via Unbiased
  Permutation Importance

A co-design approach for a rehabilitation robot coach for physical
  rehabilitation based on the error classification of motion errors

From Optimality to Robustness: Dirichlet Sampling Strategies in
  Stochastic Bandits

You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli
  Sampling

Prediction of imminent failure using supervised learning in fiber bundle
  model

A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image

A Low-Cost, Easy-to-Manufacture, Flexible, Multi-Taxel Tactile Sensor
  and its Application to In-Hand Object Recognition

A Supervised Learning Framework for Joint Angle-of-Arrival and Source
  Number Estimation

Subspace Graph Physics: Real-Time Rigid Body-Driven Granular Flow

Enhanced Membership Inference Attacks against Machine Learning Models

Radar Aided 6G Beam Prediction: Deep Learning Algorithms and Real-World

CCSL: A Causal Structure Learning Method from Multiple Unknown

A feed-forward neural network as a nonlinear dynamics integrator for
  supercontinuum generation

Dynamic-TinyBERT: Boost TinyBERT's Inference Efficiency by Dynamic
  Sequence Length

Towards Intelligibility-Oriented Audio-Visual Speech Enhancement

Recurrent Variational Network: A Deep Learning Inverse Problem Solver
  applied to the task of Accelerated MRI Reconstruction

A Modular 1D-CNN Architecture for Real-time Digital Pre-distortion

Automatic Neural Network Pruning that Efficiently Preserves the Model
  Accuracy

Neural Network Kalman filtering for 3D object tracking from linear array
  ultrasound data

Enhancing the Insertion of NOP Instructions to Obfuscate Malware via

InspectJS: Leveraging Code Similarity and User-Feedback for Effective
  Taint Specification Inference for JavaScript

IMFNet: Interpretable Multimodal Fusion for Point Cloud Registration

Improving Transferability of Representations via Augmentation-Aware

How Emotionally Stable is ALBERT? Testing Robustness with Stochastic
  Weight Averaging on a Sentiment Analysis Task

tgEDMD: Approximation of the Kolmogorov Operator in Tensor Train Format

Minimal set of crystallographic descriptors for sorption properties in
  hypothetical Metal Organic Frameworks: Role in sequential learning

LiDAR-Aided Mobile Blockage Prediction in Real-World Millimeter Wave
  Systems

Automatic Expansion and Retargeting of Arabic Offensive Language
  Training

LAnoBERT : System Log Anomaly Detection based on BERT Masked Language
  Model

COMET: A Novel Memory-Efficient Deep Learning Training Framework by
  Using Error-Bounded Lossy Compression

Continuous learning of spiking networks trained with local rules

C-OPH: Improving the Accuracy of One Permutation Hashing (OPH) with
  Circulant Permutations

DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with
  Gradient-Disentangled Embedding Sharing

Deep neural networks-based denoising models for CT imaging and their
  efficacy

DeepGuard: A Framework for Safeguarding Autonomous Driving Systems from
  Inconsistent Behavior

Learning Modified Indicator Functions for Surface Reconstruction

How much do language models copy from their training data? Evaluating
  linguistic novelty in text generation using RAVEN

Assessing Social Determinants-Related Performance Bias of Machine
  Learning Models: A case of Hyperchloremia Prediction in ICU Population

A comparative study on how neural networks enhance quantum state
  tomography

Blind VQA on 360° Video via Progressively Learning from Pixels,
  Frames and Video

Dynamically pruning segformer for efficient semantic segmentation

Developing a Machine Learning Algorithm-Based Classification Models for
  the Detection of High-Energy Gamma Particles

Reference-based Magnetic Resonance Image Reconstruction Using Texture

Data-driven discoveries of Bäcklund transforms and soliton evolution
  equations via deep neural network learning schemes

Attacking Deep Learning AI Hardware with Universal Adversarial

The Application of Zig-Zag Sampler in Sequential Markov Chain Monte
  Carlo

Lifelong Reinforcement Learning with Temporal Logic Formulas and Reward
  Machines

Contrastive Multiview Coding for Enzyme-Substrate Interaction Prediction

Self-Attending Task Generative Adversarial Network for Realistic
  Satellite Image Creation

Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in

Gradient flows on graphons: existence, convergence, continuity equations

RoBERTuito: a pre-trained language model for social media text in
  Spanish

Benchmarking and scaling of deep learning models for land cover image

L4-Norm Weight Adjustments for Converted Spiking Neural Networks

FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps

The slope, the hill, the drop, and the swoosh: Learning about the
  nuclear matter equation of state from the binary Love relations

Novel Concepts for Organic Transistors: Physics, Device Design, and

Rethinking Drone-Based Search and Rescue with Aerial Person Detection

Fine-Grained Vehicle Classification in Urban Traffic Scenes using Deep
  Learning

Using Computational Intelligence for solving the Ornstein-Zernike
  equation

Low Precision Decentralized Distributed Training over IID and non-IID
  Data

High Quality Rather than High Model Probability: Minimum Bayes Risk
  Decoding with Neural Metrics

DeepCurrents: Learning Implicit Representations of Shapes with

MEDCOD: A Medically-Accurate, Emotive, Diverse, and Controllable Dialog
  System

BLOOM-Net: Blockwise Optimization for Masking Networks Toward Scalable
  and Efficient Speech Enhancement

Machine Learning for compositional disorder: A Comparison Between
  Different Descriptors and Machine Learning Frameworks

Charting and navigating the space of solutions for recurrent neural
  networks

Case study of SARS-CoV-2 transmission risk assessment in indoor
  environments using cloud computing resources

End-to-End Learned Image Compression with Quantized Weights and

The People's Speech: A Large-Scale Diverse English Speech Recognition
  Dataset for Commercial Usage

Quantum-Assisted Support Vector Regression for Detecting Facial
  Landmarks

Facial Information Analysis Technology for Gender and Age Estimation

XLS-R: Self-supervised Cross-lingual Speech Representation Learning at
  Scale

Fast BATLLNN: Fast Box Analysis of Two-Level Lattice Neural Networks

Learning Free-Surface Flow with Physics-Informed Neural Networks

Optimization of Grant-Free NOMA with Multiple Configured-Grants for
  mURLLC

SmoothMix: Training Confidence-calibrated Smoothed Classifiers for
  Certified Robustness

Induce, Edit, Retrieve: Language Grounded Multimodal Schema for
  Instructional Video Retrieval

Sentiment Analysis of Microblogging dataset on Coronavirus Pandemic

Segmentation of Lung Tumor from CT Images using Deep Supervision

Universal Inference Meets Random Projections: A Scalable Test for
  Log-concavity

Privacy-preserving Federated Learning for Residential Short Term Load

Features selection in NBA outcome prediction through Deep Learning

A Note on Simulation-Based Inference by Matching Random Features

Single-pass Object-adaptive Data Undersampling and Reconstruction for
  MRI

Improving Fairness in Criminal Justice Algorithmic Risk Assessments
  Using Optimal Transport and Conformal Prediction Sets

GAETS: A Graph Autoencoder Time Series Approach Towards Battery
  Parameter Estimation

IV-GNN : Interval Valued Data Handling Using Graph Neural Network

Understanding and Testing Generalization of Deep Networks on

Augmentation of base classifier performance via HMMs on a handwritten
  character data set

End-to-end optimized image compression with competition of prior

A Universal End-to-End Approach to Portfolio Optimization via Deep
  Learning

Aggressive Q-Learning with Ensembles: Achieving Both High Sample
  Efficiency and High Asymptotic Performance

Rapping-Singing Voice Synthesis based on Phoneme-level Prosody Control

Airport Taxi Time Prediction and Alerting: A Convolutional Neural
  Network Approach

IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for
  Zero-Shot Network Quantization

Smart Data Representations: Impact on the Accuracy of Deep Neural
  Networks

Uncertainty Quantification of Surrogate Explanations: an Ordinal
  Consensus Approach

Cryo-shift: Reducing domain shift in cryo-electron subtomograms with
  unsupervised domain adaptation and randomization

Fast and Light-Weight Network for Single Frame Structured Illumination
  Microscopy Super-Resolution

Parametric PGD model used with orthogonal polynomials to assess
  efficiently the building's envelope thermal performance

Self-Supervised Predictive Convolutional Attentive Block for Anomaly
  Detection

Deep learning based on mixed-variable physics informed neural network
  for solving fluid dynamics without simulation data

Unsupervised Spectral Unmixing For Telluric Correction Using A Neural
  Network Autoencoder

Community-Detection via Hashtag-Graphs for Semi-Supervised NMF Topic
  Models

Dequantizing the Quantum Singular Value Transformation: Hardness and
  Applications to Quantum Chemistry and the Quantum PCP Conjecture

To Trust or Not To Trust Prediction Scores for Membership Inference
  Attacks

Cross-lingual Low Resource Speaker Adaptation Using Phonological
  Features

Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection

Sampling To Improve Predictions For Underrepresented Observations In

Guiding Generative Language Models for Data Augmentation in Few-Shot
  Text Classification

Exploring Unsupervised Learning Methods for Automated Protocol Analysis

High Quality Streaming Speech Synthesis with Low,
  Sentence-Length-Independent Latency

ORSA: Outlier Robust Stacked Aggregation for Best- and Worst-Case
  Approximations of Ensemble Systems\

A Vertical Federated Learning Method For Multi-Institutional Credit
  Scoring: MICS

Multi-Attribute Relation Extraction (MARE) -- Simplifying the
  Application of Relation Extraction

Using Convolutional Neural Networks to Detect Compression Algorithms

Subject Enveloped Deep Sample Fuzzy Ensemble Learning Algorithm of
  Parkinson's Speech Data

A Data-Centric Behavioral Machine Learning Platform to Reduce Health

Probabilistic Spatial Distribution Prior Based Attentional Keypoints
  Matching Network

A Neural Solver for Variational Problems on CAD Geometries with
  Application to Electric Machine Simulation

Nonlinear Intensity Sonar Image Matching based on Deep Convolution
  Features

LVAC: Learned Volumetric Attribute Compression for Point Clouds using
  Coordinate Based Networks

Addition Machines, Automatic Functions and Open Problems of Floyd and
  Knuth

TraSw: Tracklet-Switch Adversarial Attacks against Multi-Object Tracking

Three approaches to supervised learning for compositional data with
  pairwise logratios

A Generalized Proportionate-Type Normalized Subband Adaptive Filter

Data-driven method to learn the most probable transition pathway and
  stochastic differential equations

CAMIG: Concurrency-Aware Live Migration Management of Multiple Virtual
  Machines in SDN-enabled Clouds

Traversing the Local Polytopes of ReLU Neural Networks: A Unified
  Approach for Network Verification

A quantum-inspired algorithm for approximating statistical leverage
  scores

Long-Tailed Multi-Label Retinal Diseases Recognition Using Hierarchical
  Information and Hybrid Knowledge Distillation

Fast Rates for Nonparametric Online Learning: From Realizability to
  Learning in Games

Transformation of Node to Knowledge Graph Embeddings for Faster Link
  Prediction in Social Networks

A GNN-RNN Approach for Harnessing Geospatial and Temporal Information:
  Application to Crop Yield Prediction

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene
  Understanding Using Mobile RGB-D Data

SAPNet: Segmentation-Aware Progressive Network for Perceptual
  Contrastive Deraining

Machine Learning Assisted Approach for Security-Constrained Unit
  Commitment

Random Graph-Based Neuromorphic Learning with a Layer-Weaken Structure

GN-Transformer: Fusing Sequence and Graph Representation for Improved

Adversarial Tradeoffs in Linear Inverse Problems and Robust State

A Normative and Biologically Plausible Algorithm for Independent

SEIHAI: A Sample-efficient Hierarchical AI for the MineRL Competition

Fairness Testing of Deep Image Classification with Adequacy Metrics

NNSynth: Neural Network Guided Abstraction-Based Controller Synthesis
  for Stochastic Systems

Deep Neural Networks for Rank-Consistent Ordinal Regression Based On
  Conditional Probabilities

Enabling Automated FPGA Accelerator Optimization Using Graph Neural
  Networks

How and When Random Feedback Works: A Case Study of Low-Rank Matrix

A Machine Learning Model for Predicting Progressive Crack Extension
  based on DCPD Fatigue Data

Online Advertising Revenue Forecasting: An Interpretable Deep Learning
  Approach

A Benchmark for Modeling Violation-of-Expectation in Physical Reasoning
  Across Event Categories

CleanRL: High-quality Single-file Implementations of Deep Reinforcement

Compressive Features in Offline Reinforcement Learning for Recommender
  Systems

Error mitigation in variational quantum eigensolvers using probabilistic

Online Estimation and Optimization of Utility-Based Shortfall Risk

DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point
  Clouds

Investigating Conversion from Mild Cognitive Impairment to Alzheimer's
  Disease using Latent Space Manipulation

PredProp: Bidirectional Stochastic Optimization with Precision Weighted
  Predictive Coding

Facilitating reflection in teletandem through automatically generated
  conversation metrics and playback video

Internal energy and information flows mediate input and output power in
  bipartite molecular machines

Variational Adiabatic Gauge Transformation on real quantum hardware for
  effective low-energy Hamiltonians and accurate diagonalization

Stronger Generalization Guarantees for Robot Learning by Combining
  Generative Models and Real-World Data

On the Potential of Execution Traces for Batch Processing Workload
  Optimization in Public Clouds

SMACE: A New Method for the Interpretability of Composite Decision
  Systems

Unsupervised Learning of Symmetry Protected Topological Phase
  Transitions

Synthesis-Guided Feature Learning for Cross-Spectral Periocular

Determining the Dark Matter distribution in galaxies with Deep Learning

Who Decides if AI is Fair? The Labels Problem in Algorithmic Auditing

A Latent Encoder Coupled Generative Adversarial Network (LE-GAN) for
  Efficient Hyperspectral Image Super-resolution

Understanding How Programmers Can Use Annotations on Documentation

Unsupervised Speech Enhancement with speech recognition embedding and
  disentanglement losses

Machine Learning and Ensemble Approach Onto Predicting Heart Disease

Engineering Edge-Cloud Offloading of Big Data for Channel Modelling in
  THz-range Communications

A Comparative Study on Transfer Learning and Distance Metrics in
  Semantic Clustering over the COVID-19 Tweets

Automatic Semantic Segmentation of the Lumbar Spine: Clinical
  Applicability in a Multi-parametric and Multi-centre Study on Magnetic
  Resonance Images

Machine Learning-Assisted Analysis of Small Angle X-ray Scattering

UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection

Single-channel speech separation using Soft-minimum Permutation
  Invariant Training

NVIDIA NeMo Neural Machine Translation Systems for English-German and
  English-Russian News and Biomedical Tasks at WMT21

Adjoint-Matching Neural Network Surrogates for Fast 4D-Var Data
  Assimilation

Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time
  Series Data

CGX: Adaptive System Support for Communication-Efficient Deep Learning

Advancement of Deep Learning in Pneumonia and Covid-19 Classification
  and Localization: A Qualitative and Quantitative Analysis

Reinforcement Learning with Feedback from Multiple Humans with Diverse
  Skills

Robustness of Bayesian Neural Networks to White-Box Adversarial Attacks

Machine Learning for Real-Time Processing of ATLAS Liquid Argon
  Calorimeter Signals with FPGAs

An AI-based Learning Companion Promoting Lifelong Learning Opportunities
  for All

Words of Wisdom: Representational Harms in Learning From AI

Neuron-based Pruning of Deep Neural Networks with Better Generalization
  using Kronecker Factored Curvature Approximation

GRI: General Reinforced Imitation and its Application to Vision-Based

Two-step adversarial debiasing with partial learning -- medical image
  case-studies

Learning from the Frequency Content of Continuous Gravitational Wave
  Signals

WikiContradiction: Detecting Self-Contradiction Articles on Wikipedia

Utilizing Textual Reviews in Latent Factor Models for Recommender
  Systems

HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on
  High-resolution ICU Data

CNN Filter Learning from Drawn Markers for the Detection of Suggestive
  Signs of COVID-19 in CT Images

Radar Aided mmWave Vehicle-to-InfrastructureLink Configuration Using

Outlier Detection as Instance Selection Method for Feature Selection in
  Time Series Classification

Hierarchical transfer learning with applications for electricity load

CVSS-BERT: Explainable Natural Language Processing to Determine the
  Severity of a Computer Security Vulnerability from its Description

Generative Pre-Trained Transformer for Design Concept Generation: An

Automated skin lesion segmentation using multi-scale feature extraction
  scheme and dual-attention mechanism

Multi-Centroid Hyperdimensional Computing Approach for Epileptic Seizure
  Detection

Conjugate gradient MIMO iterative learning control using data-driven
  stochastic gradients

Code-free development and deployment of deep segmentation models for
  digital pathology

Course Difficulty Estimation Based on Mapping of Bloom's Taxonomy and
  ABET Criteria

Delta-GAN-Encoder: Encoding Semantic Changes for Explicit Image Editing,
  using Few Synthetic Samples

Thoughts on the Consistency between Ricci Flow and Neural Network
  Behavior

Grounding Psychological Shape Space in Convolutional Neural Networks

STAMP 4 NLP -- An Agile Framework for Rapid Quality-Driven NLP
  Applications Development

CLARA: A Constrained Reinforcement Learning Based Resource Allocation
  Framework for Network Slicing

Analysis of Model-Free Reinforcement Learning Control Schemes on
  self-balancing Wheeled Extendible System

S-DCCRN: Super Wide Band DCCRN with learnable complex feature for speech
  enhancement

Single Image Object Counting and Localizing using Active-Learning

Multi-Vector Models with Textual Guidance for Fine-Grained Scientific
  Document Similarity

Learning to Navigate in a VUCA Environment: Hierarchical Multi-expert
  Approach

Image-specific Convolutional Kernel Modulation for Single Image
  Super-resolution

From Convolutions towards Spikes: The Environmental Metric that the
  Community currently Misses

Learning Equilibria in Mean-Field Games: Introducing Mean-Field PSRO

SEnSeI: A Deep Learning Module for Creating Sensor Independent Cloud
  Masks

Simulating long-term impacts of mortality shocks: learning from the
  cholera pandemic

Pansharpening by convolutional neural networks in the full resolution
  framework

Reshaping Smart Energy Transition: An analysis of human-building
  interactions in Qatar Using Machine Learning Techniques

Learning MPC for Interaction-Aware Autonomous Driving: A Game-Theoretic
  Approach

Identifications of RR Lyrae stars and Quasars from the simulated data of
  Mephisto-W Survey

TRIG: Transformer-Based Text Recognizer with Initial Embedding Guidance

Learning with convolution and pooling operations in kernel methods

End-to-end Learning of a Constellation Shape Robust to Channel Condition

Machine Learning-Based Assessment of Energy Behavior of RC Shear Walls

Self-supervised Re-renderable Facial Albedo Reconstruction from Single
  Image

Keypoint Message Passing for Video-based Person Re-Identification

Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual
  Concepts

Deep Distilling: automated code generation using explainable deep
  learning

HADFL: Heterogeneity-aware Decentralized Federated Learning Framework

Task allocation for decentralized training in heterogeneous environment

Pre-training Graph Neural Network for Cross Domain Recommendation

Solving Probability and Statistics Problems by Program Synthesis

Analysis of 5G academic Network based on graph representation learning
  method

Pose Recognition in the Wild: Animal pose estimation using Agglomerative
  Clustering and Contrastive Learning

Online Meta Adaptation for Variable-Rate Learned Image Compression

Generalization Bounds and Algorithms for Learning to Communicate over
  Additive Noise Channels

Bengali Handwritten Grapheme Classification: Deep Learning Approach

CAR -- Cityscapes Attributes Recognition A Multi-category Attributes
  Dataset for Autonomous Vehicles

Blockage Prediction Using Wireless Signatures: Deep Learning Enables
  Real-World Demonstration

QA4PRF: A Question Answering based Framework for Pseudo Relevance
  Feedback

Phase function estimation from a diffuse optical image via deep learning

Comparative Analysis of Machine Learning Models for Predicting Travel
  Time

Fairness-aware Online Price Discrimination with Nonparametric Demand
  Models

Exploring Augmented Reality Games in Accessible Learning: A Systematic
  Review

FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining
  Competitive Performance in Federated Learning

JMSNAS: Joint Model Split and Neural Architecture Search for Learning
  over Mobile Edge Networks

Learn Locally, Correct Globally: A Distributed Algorithm for Training

MoRe-Fi: Motion-robust and Fine-grained Respiration Monitoring via
  Deep-Learning UWB Radar

Route Optimization via Environment-Aware Deep Network and Reinforcement
  Learning

Learning Augmentation Distributions using Transformed Risk Minimization

Discovery of CWISE J052306.42-015355.4, an Extreme T Subdwarf Candidate

ShapeY: Measuring Shape Recognition Capacity Using Nearest Neighbor
  Matching

Image-based monitoring of bolt loosening through deep-learning-based
  integrated detection and tracking

Improving Learning from Demonstrations by Learning from Experience

On the utility of power spectral techniques with feature selection
  techniques for effective mental task classification in noninvasive BCI

Rearranging the Environment to Maximize Energy with a Robotic Circuit
  Drawing

Convergence of Anisotropic Consensus-Based Optimization in Mean-Field
  Law

Exploring Story Generation with Multi-task Objectives in Variational

An Unsupervised Deep Unfolding Framework for robust Symbol Level
  Precoding

Neural networks with linear threshold activations: structure and

Learning-Based Symbol Level Precoding: A Memory-Efficient Unsupervised

Learning Optimal Control with Stochastic Models of Hamiltonian Dynamics

TimeVAE: A Variational Auto-Encoder for Multivariate Time Series

LIMEcraft: Handcrafted superpixel selection and inspection for Visual
  eXplanations

Learning Graph Neural Networks for Multivariate Time Series Anomaly
  Detection

ModelLight: Model-Based Meta-Reinforcement Learning for Traffic Signal
  Control

Exploiting Action Impact Regularity and Exogenous State Variables for

Natural Gradient Variational Inference with Gaussian Mixture Models

A Multi-criteria Approach to Evolve Sparse Neural Architectures for
  Stock Market Forecasting

Margin-Independent Online Multiclass Learning via Convex Geometry

Common Language for Goal-Oriented Semantic Communications: A Curriculum

Simulation of quantum many-body dynamics with Tensor Processing Units:
  Floquet prethermalization

Measurement-induced entanglement phase transitions in variational
  quantum circuits

Fast and Credible Likelihood-Free Cosmology with Truncated Marginal
  Neural Ratio Estimation

Adversarial Skill Chaining for Long-Horizon Robot Manipulation via
  Terminal State Regularization

CoLLIE: Continual Learning of Language Grounding from Language-Image

Fast First-Order Methods for Monotone Strongly DR-Submodular

Independent SE(3)-Equivariant Models for End-to-End Rigid Protein
  Docking

Metric-based multimodal meta-learning for human movement identification
  via footstep recognition

Towards Optimal Strategies for Training Self-Driving Perception Models
  in Simulation

Evaluating Treatment Prioritization Rules via Rank-Weighted Average
  Treatment Effects

Retrieval of aerosol properties from in situ, multi-angle light
  scattering measurements using invertible neural networks

Short-Term Power Prediction for Renewable Energy Using Hybrid Graph
  Convolutional Network and Long Short-Term Memory Approach

Attention based end to end Speech Recognition for Voice Search in Hindi
  and English

QK Iteration: A Self-Supervised Representation Learning Algorithm for
  Image Similarity

Stochastic Gradient Line Bayesian Optimization for Efficient
  Noise-Robust Optimization of Parameterized Quantum Circuits

Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge

Large-Scale Hyperspectral Image Clustering Using Contrastive Learning

Fully Linear Graph Convolutional Networks for Semi-Supervised Learning
  and Clustering

Data-driven prediction of complex flow field over an axisymmetric body
  of revolution using Machine Learning

Question-Based Salient Span Selection for More Controllable Text

Target Layer Regularization for Continual Learning Using Cramer-Wold
  Generator

Best of Both Worlds: Practical and Theoretically Optimal Submodular
  Maximization in Parallel

On the Tradeoff between Energy, Precision, and Accuracy in Federated

Learning to Execute: Efficient Learning of Universal Plan-Conditioned
  Policies in Robotics

Category-orthogonal object features guide information processing in
  recurrent neural networks trained for object categorization

On Sparse High-Dimensional Graphical Model Learning For Dependent Time
  Series

Oil and Gas Pipeline Monitoring during COVID-19 Pandemic via Unmanned
  Aerial Vehicle

A Neuroscience Approach regarding Student Engagement in the Classes of
  Microcontrollers during the COVID19 Pandemic

Choose Your Programming Copilot: A Comparison of the Program Synthesis
  Performance of GitHub Copilot and Genetic Programming

Advantage of Machine Learning over Maximum Likelihood in Limited-Angle
  Low-Photon X-Ray Tomography

Mitigating Divergence of Latent Factors via Dual Ascent for Low Latency
  Event Prediction Models

ELBD: Efficient score algorithm for feature selection on latent
  variables of VAE

Transfer Learning Capabilities of Untrained Neural Networks for MIMO CSI
  Recreation

Deep Hedging: Learning to Remove the Drift under Trading Frictions with
  Minimal Equivalent Near-Martingale Measures

Learnable Locality-Sensitive Hashing for Video Anomaly Detection

Three-body renormalization group limit cycles based on unsupervised
  feature learning

Testing the Generalization of Neural Language Models for COVID-19
  Misinformation Detection

A Teacher-Student Markov Decision Process-based Framework for Online
  Correctional Learning

Identification of new M31 star cluster candidates from PAndAS images
  using convolutional neural networks

Residual fourier neural operator for thermochemical curing of composites

Learning Representations for Pixel-based Control: What Matters and Why?

An Adaptive Framework for Reliable Trajectory Following in
  Changing-Contact Robot Manipulation Tasks

A Statistical Approach to Surface Metrology for 3D-Printed Stainless
  Steel

Beep: Fine-grained Fix Localization by Learning to Predict Buggy Code
  Elements

Zero-Shot Learning in Named-Entity Recognition with External Knowledge

Benchmarking Various ML Solutions in Complex Intent-Based Network
  Management Systems

Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural

Interactive Medical Image Segmentation with Self-Adaptive Confidence

On the Importance of Difficulty Calibration in Membership Inference
  Attacks

Modular Networks Prevent Catastrophic Interference in Model-Based
  Multi-Task Reinforcement Learning

Simultaneously Achieving Sublinear Regret and Constraint Violations for
  Online Convex Optimization with Time-varying Constraints

Joint Synthesis of Safety Certificate and Safe Control Policy using
  Constrained Reinforcement Learning

2nd Place Solution to Facebook AI Image Similarity Challenge Matching
  Track

AutoGMap: Learning to Map Large-scale Sparse Graphs on Memristive
  Crossbars

Reachability analysis of neural networks using mixed monotonicity

Quadratic speedup of global search using a biased crossover of two good
  solutions

Contrastive Representation Learning with Trainable Augmentation Channel

FastFlow: Unsupervised Anomaly Detection and Localization via 2D
  Normalizing Flows

Improving needle visibility in LED-based photoacoustic imaging using
  deep learning with semi-synthetic datasets

Instant tissue field and magnetic susceptibility mapping from MR raw
  phase using Laplacian enabled deep neural networks

Scaling Law for Recommendation Models: Towards General-purpose User

Multimodal Generalized Zero Shot Learning for Gleason Grading using

Pseudo-domains in imaging data improve prediction of future disease
  status in multi-center studies

Fingerprint Presentation Attack Detection by Channel-wise Feature
  Denoising

Inverting brain grey matter models with likelihood-free inference: a
  tool for trustable cytoarchitecture measurements

SPLDExtraTrees: Robust machine learning approach for predicting kinase
  inhibitor resistance

Reducing the Long Tail Losses in Scientific Emulations with Active
  Learning

Discriminative Mutual Information Estimation for the Design of Channel
  Capacity Driven Autoencoders

FakeTransformer: Exposing Face Forgery From Spatial-Temporal
  Representation Modeled By Facial Pixel Variations

DFC: Deep Feature Consistency for Robust Point Cloud Registration

Say What? Collaborative Pop Lyric Generation Using Multitask Transfer
  Learning

Block-Sparse Recovery Network for Two-Dimensional Harmonic Retrieval

Optimizing Unlicensed Coexistence Network Performance Through Data
  Learning

Vision-Position Multi-Modal Beam Prediction Using Real Millimeter Wave
  Datasets

Adding more data does not always help: A study in medical conversation
  summarization with PEGASUS

Disparities in Dermatology AI: Assessments Using Diverse Clinical Images

Screening of potential double perovskite materials for photovoltaic
  applications using agglomerative hierarchical clustering

Provable Advantage in Quantum Phase Learning via Quantum Kernel
  Alphatron

Dynamic Placement of Rapidly Deployable Mobile Sensor Robots Using
  Machine Learning and Expected Value of Information

Improving Prosody for Unseen Texts in Speech Synthesis by Utilizing
  Linguistic Information and Noisy Data

Solving Inverse Problems in Medical Imaging with Score-Based Generative
  Models

Randomized Classifiers vs Human Decision-Makers: Trustworthy AI May Have
  to Act Randomly and Society Seems to Accept This

T-AutoML: Automated Machine Learning for Lesion Segmentation using
  Transformers in 3D Medical Imaging

Interpretability Aware Model Training to Improve Robustness against
  Out-of-Distribution Magnetic Resonance Images in Alzheimer's Disease

Comparative Study of Speech Analysis Methods to Predict Parkinson's
  Disease

Automatic Analysis of Linguistic Features in Journal Articles of
  Different Academic Impacts with Feature Engineering Techniques

PatchGraph: In-hand tactile tracking with learned surface normals

A Comparative Study on Basic Elements of Deep Learning Models for
  Spatial-Temporal Traffic Forecasting

Lifelong Vehicle Trajectory Prediction Framework Based on Generative
  Replay

Public Policymaking for International Agricultural Trade using
  Association Rules and Ensemble Machine Learning

Meta-Auto-Decoder for Solving Parametric Partial Differential Equations

Measuring Outcomes in Healthcare Economics using Artificial
  Intelligence: with Application to Resource Management

Reinforcement Learning of Self Enhancing Camera Image and Signal

Reinforcement-learning-based control of confined cylinder wakes with
  stability analyses

Federated Learning for Internet of Things: Applications, Challenges, and

Deep-Learning Inversion Method for the Interpretation of Noisy
  Logging-While-Drilling Resistivity Measurements

Exploring latent networks in resting-state fMRI using voxel-to-voxel
  causal modeling feature selection

Spatio-Temporal Split Learning for Autonomous Aerial Surveillance using
  Urban Air Mobility (UAM) Networks

An Embarrassingly Pragmatic Introduction to Vision-based Autonomous
  Robots

Power Allocation for Wireless Federated Learning using Graph Neural
  Networks

Physics in the Machine: Integrating Physical Knowledge in Autonomous
  Phase-Mapping

Human-error-potential Estimation based on Wearable Biometric Sensors

Scalable Variational Quantum Circuits for Autoencoder-based Drug
  Discovery

Prognosis: Closed-Box Analysis of Network Protocol Implementations

Scrutinizing XAI using linear ground-truth data with suppressor
  variables

Skillful Twelve Hour Precipitation Forecasts using Large Context Neural
  Networks

Discrete-Time Nonlinear Systems Identification with Probabilistic Safety
  and Stability Constraints

Federated Learning with Hyperparameter-based Clustering for Electrical
  Load Forecasting

Mean-based Best Arm Identification in Stochastic Bandits under Reward
  Contamination

Attentive Federated Learning for Concept Drift in Distributed 5G Edge
  Networks

HAD-Net: Hybrid Attention-based Diffusion Network for Glucose Level
  Forecast

Towards Interpretability of Speech Pause in Dementia Detection using

Learning Multi-Stage Tasks with One Demonstration via Self-Replay

A distributed, plug-n-play algorithm for multi-robot applications with a
  priori non-computable objective functions

Improving Compound Activity Classification via Deep Transfer and

Safe Online Convex Optimization with Unknown Linear Safety Constraints

Unsupervised Action Localization Crop in Video Retargeting for 3D
  ConvNets

Generating Band-Limited Adversarial Surfaces Using Neural Networks

Learning a Shared Model for Motorized Prosthetic Joints to Predict
  Ankle-Joint Motion

TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view
  Stereo

A Machine Learning Approach for Recruitment Prediction in Clinical Trial
  Design

Textless Speech Emotion Conversion using Discrete and Decomposed

Explicit Explore, Exploit, or Escape ($E^4$): near-optimal
  safety-constrained reinforcement learning in polynomial time

Minimax Optimal Regression over Sobolev Spaces via Laplacian Eigenmaps
  on Neighborhood Graphs

DEEP: DEnoising Entity Pre-training for Neural Machine Translation

Edge-Native Intelligence for 6G Communications Driven by Federated
  Learning: A Survey of Trends and Challenges

Interpretable ECG classification via a query-based latent space
  traversal (qLST)

Intelligent Trading Systems: A Sentiment-Aware Reinforcement Learning
  Approach

Sparse Steerable Convolutions: An Efficient Learning of
  SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D
  Space

Adaptive Cost-Sensitive Learning in Neural Networks for
  Misclassification Cost Problems

Binary classification of spoken words with passive elastic
  metastructures

Eluding Secure Aggregation in Federated Learning via Model Inconsistency

A Robust Unsupervised Ensemble of Feature-Based Explanations using
  Restricted Boltzmann Machines

TEA: A Sequential Recommendation Framework via Temporally Evolving
  Aggregations

On equivalence between linear-chain conditional random fields and hidden
  Markov chains

Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with
  Weak Mixing Time Bounds

Estimation of Acetabular Version from Anteroposterior Pelvic Radiograph
  Employing Deep Learning

Learning Enhancement in Higher Education with Wearable Technology

Machine learning reveals strain-rate-dependent predictability of
  discrete dislocation plasticity

A layer-stress learning framework universally augments deep neural
  network tasks

Fracture Detection in Wrist X-ray Images Using Deep Learning-Based
  Object Detection Models

Invariant Risk Minimisation for Cross-Organism Inference: Substituting
  Mouse Data for Human Data in Human Risk Factor Discovery

Free Will Belief as a consequence of Model-based Reinforcement Learning

Towards Privacy-Preserving Affect Recognition: A Two-Level Deep Learning

Towards Lightweight Controllable Audio Synthesis with Conditional
  Implicit Neural Representations

A rule-based epidemiological framework for modelling and simulation in
  the context of the covid-19 pandemic

Relative Distributed Formation and Obstacle Avoidance with Multi-agent

Automatic evaluation of scientific abstracts through natural language

String Model Building, Reinforcement Learning and Genetic Algorithms

CSG: A stochastic gradient method for a wide class of optimization
  problems appearing in a machine learning or data-driven context

Improving usual Naive Bayes classifier performances with Neural Naive
  Bayes based models

BioLeaF: A Bio-plausible Learning Framework for Training of Spiking

Uncertainty quantification and inverse modeling for subsurface flow in
  3D heterogeneous formations using a theory-guided convolutional
  encoder-decoder network

Energy Efficient Learning with Low Resolution Stochastic Domain Wall
  Synapse Based Deep Neural Networks

Deep Joint Demosaicing and High Dynamic Range Imaging within a Single
  Shot

Sign Language Translation with Hierarchical Spatio-TemporalGraph Neural
  Network

Background-Aware 3D Point Cloud Segmentationwith Dynamic Point Feature

Question Answering for Complex Electronic Health Records Database using
  Unified Encoder-Decoder Architecture

Robust and Accurate Object Detection via Self-Knowledge Distillation

Doors in the Sky: Detection, Localization and Classification of Aerial
  Vehicles using Laser Mesh

Visual design intuition: Predicting dynamic properties of beams from raw
  cross-section images

SDnDTI: Self-supervised deep learning-based denoising for diffusion
  tensor MRI

Using supervised learning algorithms as a follow-up method in the search
  of gravitational waves from core-collapse supernovae

Meta-Voice: Fast few-shot style transfer for expressive voice cloning
  using meta learning

Keyphrase Extraction Using Neighborhood Knowledge Based on Word

PhysXNet: A Customizable Approach for LearningCloth Dynamics on Dressed
  People

Reliably-stabilizing piecewise-affine neural network controllers

Explainable Semantic Space by Grounding Language to Vision with
  Cross-Modal Contrastive Learning

Deep Reinforcement Learning with Shallow Controllers: An Experimental
  Application to PID Tuning

Where to Look: A Unified Attention Model for Visual Recognition with

The Three Stages of Learning Dynamics in High-Dimensional Kernel Methods

A Practical guide on Explainable AI Techniques applied on Biomedical use
  case applications

Robust Deep Reinforcement Learning for Extractive Legal Summarization

Developing a Novel Approach for Periapical Dental Radiographs

SocialBERT -- Transformers for Online SocialNetwork Language Modelling

Physics-guided Loss Functions Improve Deep Learning Performance in
  Inverse Scattering

The Pseudo Projection Operator: Applications of Deep Learning to
  Projection Based Filtering in Non-Trivial Frequency Regimes

Full-attention based Neural Architecture Search using Context
  Auto-regression

Towards One Shot Search Space Poisoning in Neural Architecture Search

An Energy Consumption Model for Electrical Vehicle Networks via Extended
  Federated-learning

MC-CIM: Compute-in-Memory with Monte-Carlo Dropouts for Bayesian Edge

Learning Object-Centric Representations of Multi-Object Scenes from
  Multiple Views

Deep Neural Networks for Automatic Grain-matrix Segmentation in Plane
  and Cross-polarized Sandstone Photomicrographs

Speech Emotion Recognition Using Deep Sparse Auto-Encoder Extreme
  Learning Machine with a New Weighting Scheme and Spectro-Temporal Features
  Along with Classical Feature Selection and A New Quantum-Inspired Dimension
  Reduction Method

D$^2$LV: A Data-Driven and Local-Verification Approach for Image Copy
  Detection

Evaluating Contrastive Learning on Wearable Timeseries for Downstream
  Clinical Outcomes

Deep Learning in High Dimension: Neural Network Approximation of
  Analytic Functions in $L^2(\mathbb{R}^d,γ_d)$

Equivalent Distance Geometry Error for Molecular Conformation Comparison

UNTANGLE: Unlocking Routing and Logic Obfuscation Using Graph Neural
  Networks-based Link Prediction

PAMMELA: Policy Administration Methodology using Machine Learning

GraphPrompt: Biomedical Entity Normalization Using Graph-based Prompt
  Templates

Facial Landmark Points Detection Using Knowledge Distillation-Based

Iterative Training: Finding Binary Weight Deep Neural Networks with
  Layer Binarization

Reynolds Stress Modeling Using Data Driven Machine Learning Algorithms

Minimax Supervised Clustering in the Anisotropic Gaussian Mixture Model:
  A new take on Robust Interpolation

Obstacle Avoidance for UAS in Continuous Action Space Using Deep

Measuring the Contribution of Multiple Model Representations in
  Detecting Adversarial Instances

Adaptive Similarity Function with Structural Features of Network
  Embedding for Missing Link Prediction

Identification and Adaptive Control of Markov Jump Systems: Sample
  Complexity and Regret Bounds

HydraGAN A Multi-head, Multi-objective Approach to Synthetic Data

Spatial machine-learning model diagnostics: a model-agnostic
  distance-based approach

Using Deep Learning to Identify Patients with Cognitive Impairment in

Leveraging Unsupervised Image Registration for Discovery of Landmark
  Shape Descriptor

LoMEF: A Framework to Produce Local Explanations for Global Model Time
  Series Forecasts

Soft Sensing Model Visualization: Fine-tuning Neural Network from What
  Model Learned

Soft-Sensing ConFormer: A Curriculum Learning-based Convolutional

Neural Population Geometry Reveals the Role of Stochasticity in Robust

RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN

Scalable Diverse Model Selection for Accessible Transfer Learning

Exploiting all samples in low-resource sentence classification: early
  stopping and initialization parameters

Adversarially Robust Learning for Security-Constrained Optimal Power
  Flow

Morphological computation and decentralized learning in a swarm of
  sterically interacting robots

Unifying Heterogeneous Electronic Health Records Systems via Text-Based
  Code Embedding

Offense Detection in Dravidian Languages using Code-Mixing Index based
  Focal Loss

A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP)
  from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals

Improving Experience Replay through Modeling of Similar Transitions'
  Sets

PySINDy: A comprehensive Python package for robust sparse system
  identification

Guided Sampling-based Evolutionary Deep Neural Network for Intelligent
  Fault Diagnosis

Explaining medical AI performance disparities across sites with
  confounder Shapley value analysis

Cooperative multi-agent reinforcement learning for high-dimensional
  nonequilibrium control

Sampling from multimodal distributions using tempered Hamiltonian
  transitions

Flatee: Federated Learning Across Trusted Execution Environments

Silicon Photonic Architecture for Training Deep Neural Networks with
  Direct Feedback Alignment

A Survey on Hyperdimensional Computing aka Vector Symbolic
  Architectures, Part II: Applications, Cognitive Models, and Challenges

Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited
  Data

A posteriori learning of quasi-geostrophic turbulence parametrization:
  an experiment on integration steps

The self-supervised spectral-spatial attention-based transformer network
  for automated, accurate prediction of crop nitrogen status from UAV imagery

Convergence Rates for the MAP of an Exponential Family and Stochastic
  Mirror Descent -- an Open Problem

Alleviating the transit timing variation bias in transit surveys. I.
  RIVERS: Method and detection of a pair of resonant super-Earths around
  Kepler-1705

Dynamic treatment effects: high-dimensional inference under model
  misspecification

Sci-Net: a Scale Invariant Model for Buildings Segmentation from Aerial
  Images

ADCB: An Alzheimer's disease benchmark for evaluating observational
  estimators of causal effects

Benchmarking deep generative models for diverse antibody sequence design

Deciphering Speech: a Zero-Resource Approach to Cross-Lingual Transfer
  in ASR

BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine

A Minimax Learning Approach to Off-Policy Evaluation in Confounded
  Partially Observable Markov Decision Processes

Q-Learning for MDPs with General Spaces: Convergence and Near Optimality
  via Quantization under Weak Continuity

Resilient Consensus-based Multi-agent Reinforcement Learning with

On the structure of regularization paths for piecewise differentiable
  regularization terms

Identifying On-road Scenarios Predictive of ADHD usingDriving Simulator

A Spiking Neuron Synaptic Plasticity Model Optimized for Unsupervised
  Learning

Diversity-Promoting Human Motion Interpolation via Conditional
  Variational Auto-Encoder

STFL: A Temporal-Spatial Federated Learning Framework for Graph Neural
  Networks

Simplifying approach to Node Classification in Graph Neural Networks

Self-Reflective Terrain-Aware Robot Adaptation for Consistent Off-Road
  Ground Navigation

One model Packs Thousands of Items with Recurrent Conditional Query
  Learning

Causal Multi-Agent Reinforcement Learning: Review and Open Problems

Device-Independent-Quantum-Randomness-Enhanced Zero-Knowledge Proof

Deep-learning in the bioimaging wild: Handling ambiguous data with
  deepflash2

EPTAS for parallel identical machine scheduling with time restrictions

BSC: Block-based Stochastic Computing to Enable Accurate and Efficient
  TinyML

DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short
  Text Documents

Deep Reinforcement Model Selection for Communications Resource
  Allocation in On-Site Medical Care

A Reverse Jensen Inequality Result with Application to Mutual
  Information Estimation

DriverGym: Democratising Reinforcement Learning for Autonomous Driving

Understanding the Information Needs and Practices of Human Supporters of
  an Online Mental Health Intervention to Inform Machine Learning Applications

Extraction of Medication Names from Twitter Using Augmentation and an
  Ensemble of Language Models

Detecting Quality Problems in Data Models by Clustering Heterogeneous
  Data Values

Frequency learning for structured CNN filters with Gaussian fractional
  derivatives

Speaker and Time-aware Joint Contextual Learning for Dialogue-act
  Classification in Counselling Conversations

Application of Neural Network Machine Learning to Solution of
  Black-Scholes Equation

Glass-box model representation of seismic failure mode prediction for
  conventional RC shear walls

Attention Guided Cosine Margin For Overcoming Class-Imbalance in
  Few-Shot Road Object Detection

Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction

Joint Models for Cause-of-Death Mortality in Multiple Populations

Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash

A Convolutional Neural Network Based Approach to Recognize Bangla Spoken
  Digits from Speech Signal

Multi-task Learning for Compositional Data via Sparse Network Lasso

Promoting Resilience in Multi-Agent Reinforcement Learning via
  Confusion-Based Communication

PESTO: Switching Point based Dynamic and Relative Positional Encoding
  for Code-Mixed Languages

Determining impact parameters of heavy-ion collisions at
  low-intermediate incident energies using deep learning with convolutional

Using Deep Learning Sequence Models to Identify SARS-CoV-2 Divergence

Data-Driven Pole Placement in LMI Regions with Robustness Constraints

AnchorGAE: General Data Clustering via $O(n)$ Bipartite Graph

Learning Quantile Functions without Quantile Crossing for
  Distribution-free Time Series Forecasting

On-the-Fly Rectification for Robust Large-Vocabulary Topic Inference

A Competitive Algorithm for Throughout Maximization on Identical
  Machines

Satellite Images and Deep Learning to Identify Discrepancy in Mailing
  Addresses with Applications to Census 2020 in Houston

A Robust Deep Learning-Based Beamforming Design for RIS-assisted
  Multiuser MISO Communications with Practical Constraints

Approximating Optimal Transport via Low-rank and Sparse Factorization

Disentangling Physical Parameters for Anomalous Sound Detection Under

Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs

Domain Generalization on Efficient Acoustic Scene Classification using
  Residual Normalization

A Time-Series Scale Mixture Model of EEG with a Hidden Markov Structure
  for Epileptic Seizure Detection

An Enhanced Adaptive Bi-clustering Algorithm through Building a
  Shielding Complex Sub-Matrix

Neuromuscular Control of the Face-Head-Neck Biomechanical Complex With
  Learning-Based Expression Transfer From Images and Videos

Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation

Uncovering Material Deformations via Machine Learning Combined with
  Four-Dimensional Scanning Transmission Electron Microscopy

Variational Auto-Encoder Architectures that Excel at Causal Inference

Sequential Aggregation and Rematerialization: Distributed Full-batch
  Training of Graph Neural Networks on Large Graphs

On Efficient Uncertainty Estimation for Resource-Constrained Mobile

Unique Bispectrum Inversion for Signals with Finite Spectral/Temporal
  Support

Automated question generation and question answering from Turkish texts

AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer

SynthBio: A Case Study in Human-AI Collaborative Curation of Text
  Datasets

Molecular Dynamics Simulations on Cloud Computing and Machine Learning
  Platforms

Catalytic Role Of Noise And Necessity Of Inductive Biases In The
  Emergence Of Compositional Communication

Smart Flood Resilience: Harnessing Community-Scale Big Data for
  Predictive Flood Risk Monitoring, Rapid Impact Assessment, and Situational
  Awareness

MultiSV: Dataset for Far-Field Multi-Channel Speaker Verification

Variability-Aware Training and Self-Tuning of Highly Quantized DNNs for
  Analog PIM

Towards Transferring Human Preferences from Canonical to Actual Assembly
  Tasks

Expert Human-Level Driving in Gran Turismo Sport Using Deep
  Reinforcement Learning with Image-based Representation

Observation Error Covariance Specification in Dynamical Systems for Data
  assimilation using Recurrent Neural Networks

Automated PII Extraction from Social Media for Raising Privacy
  Awareness: A Deep Transfer Learning Approach

Multiple Hypothesis Hypergraph Tracking for Posture Identification in
  Embryonic Caenorhabditis elegans

Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and

The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos

Super-resolving Dark Matter Halos using Generative Deep Learning

Distilling Motion Planner Augmented Policies into Visual Control

Learning from Mistakes -- A Framework for Neural Architecture Search

Poisoning Knowledge Graph Embeddings via Relation Inference Patterns

Driver-Specific Risk Recognition in Interactive Driving Scenarios using
  Graph Representation

Identification of Fine-Grained Location Mentions in Crisis Tweets

Towards an Efficient Voice Identification Using Wav2Vec2.0 and HuBERT
  Based on the Quran Reciters Dataset

Stationary Behavior of Constant Stepsize SGD Type Algorithms: An
  Asymptotic Characterization

Multisensor acoustic emission data set reflecting supervised
  untightening of bolts in a jointed vibrating structure

Multi-agent Reinforcement Learning for Cooperative Lane Changing of
  Connected and Autonomous Vehicles in Mixed Traffic

Unsupervised Noise Adaptive Speech Enhancement by
  Discriminator-Constrained Optimal Transport

Developing and Publishing Code for Trusted Research Environments: Best
  Practices and Ways of Working

Fairness, Integrity, and Privacy in a Scalable Blockchain-based
  Federated Learning System

DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural
  Networks

An ensemble approach to the structure-function problem in microbial
  communities

6D Pose Estimation with Combined Deep Learning and 3D Vision Techniques
  for a Fast and Accurate Object Grasping

Machine Learning-Based Optimization of Chiral Photonic Nanostructures:
  Evolution- and Neural Network-Based Design

Raman spectroscopy in open world learning settings using the
  Objectosphere approach

AlphaDDA: Strategies for Adjusting the Playing Strength of a Fully
  Trained AlphaZero System to a Suitable Human Training Partner

Sparse dictionary learning recovers pleiotropy from human cell fitness
  screens

Improvements to short-term weather prediction with
  recurrent-convolutional networks

Discovering and Explaining the Representation Bottleneck of DNNs

Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma

Model-Based Reinforcement Learning for Stochastic Hybrid Systems

Governance of Ethical and Trustworthy AI Systems: Research Gaps in the
  ECCOLA Method

Towards Axiomatic, Hierarchical, and Symbolic Explanation for Deep
  Models

Towards Domain-Independent and Real-Time Gesture Recognition Using
  mmWave Signal

Multilingual and Multilabel Emotion Recognition using Virtual

Does the Brain Infer Invariance Transformations from Graph Symmetries?

Uncertainty quantification of a three-dimensional in-stent restenosis
  model with surrogate modelling

Convergence and Stability of the Stochastic Proximal Point Algorithm

A Novel TSK Fuzzy System Incorporating Multi-view Collaborative Transfer
  Learning for Personalized Epileptic EEG Detection

A Novel Approach for Deterioration and Damage Identification in Building
  Structures Based on Stockwell-Transform and Deep Convolutional Neural Network

Longitudinal patient stratification of electronic health records with
  flexible adjustment for clinical outcomes

Improving Novelty Detection using the Reconstructions of Nearest
  Neighbours

FedGreen: Federated Learning with Fine-Grained Gradient Compression for
  Green Mobile Edge Computing

Reducing Data Complexity using Autoencoders with Class-informed Loss
  Functions

Stacked U-Nets with Self-Assisted Priors Towards Robust Correction of
  Rigid Motion Artifact in Brain MRI

Implementation of Ethically Aligned Design with Ethical User stories in
  SMART terminal Digitalization project: Use case Passenger Flow

Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement
  Learning

Review of Pedestrian Trajectory Prediction Methods: Comparing Deep
  Learning and Knowledge-based Approaches

Statistical investigation of the large-area Si(Li) detectors
  mass-produced for the GAPS experiment

Enhancing Autoignition Characteristics: A Framework to Discover Fuel
  Additives and Making Predictions Using Machine Learning

Environmental variation compensated damage classification and
  localization in ultrasonic guided wave SHM using self-learnt features and
  Gaussian mixture models

On the Problem of Reformulating Systems with Uncertain Dynamics as a
  Stochastic Differential Equation

Hierarchical clustering by aggregating representatives in
  sub-minimum-spanning-trees

Solving time-dependent parametric PDEs by multiclass
  classification-based reduced order model

  Architectures, Part I: Models and Data Transformations

A compact butterfly-style silicon photonic-electronic neural chip for
  hardware-efficient deep learning

On the Equivalence between Neural Network and Support Vector Machine

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI

Exploiting the Power of Levenberg-Marquardt Optimizer with Anomaly
  Detection in Time Series

Characterization of Frequent Online Shoppers using Statistical Learning
  with Sparsity

Learning by Cheating : An End-to-End Zero Shot Framework for Autonomous
  Drone Navigation

Integrating On-chain and Off-chain Governance for Supply Chain
  Transparency and Integrity

Meta-learning and data augmentation for mass-generalised jet taggers

Fast T2w/FLAIR MRI Acquisition by Optimal Sampling of Information
  Complementary to Pre-acquired T1w MRI

Constrained Stochastic Submodular Maximization with State-Dependent
  Costs

Benefit-aware Early Prediction of Health Outcomes on Multivariate EEG

Adapting Surprise Minimizing Reinforcement Learning Techniques for
  Transactive Control

HMD-AMP: Protein Language-Powered Hierarchical Multi-label Deep Forest
  for Annotating Antimicrobial Peptides

Yaw-Guided Imitation Learning for Autonomous Driving in Urban

Synthetic Document Generator for Annotation-free Layout Recognition

The Other Side of Black Screen: Rethinking Interaction in Synchronous
  Remote Learning for Collaborative Programming

Kronecker Factorization for Preventing Catastrophic Forgetting in
  Large-scale Medical Entity Linking

Near-Optimal No-Regret Learning for Correlated Equilibria in
  Multi-Player General-Sum Games

On the Use and Misuse of Absorbing States in Multi-agent Reinforcement
  Learning

The Application of Digital Technology and the Learning Characteristics
  of Generation Z in Higher Education

Traffic4cast -- Large-scale Traffic Prediction using 3DResNet and
  Sparse-UNet

SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred
  from Vision

A Multi-attribute Controllable Generative Model for Histopathology Image
  Synthesis

Classification of the Chess Endgame problem using Logistic Regression,
  Decision Trees, and Neural Networks

Soft Sensing Transformer: Hundreds of Sensors are Worth a Single Word

Amazon SageMaker Model Parallelism: A General and Flexible Framework for
  Large Model Training

PowerGridworld: A Framework for Multi-Agent Reinforcement Learning in

Advancing Brain Metastases Detection in T1-Weighted Contrast-Enhanced 3D
  MRI using Noisy Student-based Training

Keys to Accurate Feature Extraction Using Residual Spiking Neural
  Networks

Robust Learning via Ensemble Density Propagation in Deep Neural Networks

How to See Hidden Patterns in Metamaterials with Interpretable Machine
  Learning

Self-Supervised Multi-Object Tracking with Cross-Input Consistency

Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction

Modelling and optimization of nanovector synthesis for applications in
  drug delivery systems

SPA-GCN: Efficient and Flexible GCN Accelerator with an Application for
  Graph Similarity Computation

A Meta-Method for Portfolio Management Using Machine Learning for
  Adaptive Strategy Selection

A soft thumb-sized vision-based sensor with accurate all-round force
  perception

Recognition of Patient Groups with Sleep Related Disorders using
  Bio-signal Processing and Deep Learning

Monte Carlo Event Generator updates, for tau pair events at Belle II
  energies

Model independent search for transient multimessenger events with AMON
  using outlier detection methods

Beyond Importance Scores: Interpreting Tabular ML by Visualizing Feature
  Semantics

Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders
  up to 100 Trillion Parameters

A Generic Deep Learning Based Cough Analysis System from Clinically
  Validated Samples for Point-of-Need Covid-19 Test and Severity Levels

Predicting Lattice Phonon Vibrational Frequencies Using Deep Graph

A Histopathology Study Comparing Contrastive Semi-Supervised and Fully

Exponential separations between learning with and without quantum memory

NRPyLaTeX: A LaTeX interface to computer algebra systems for general
  relativity

Local Justice and the Algorithmic Allocation of Societal Resources

Towards Green Automated Machine Learning: Status Quo and Future

Structure from Silence: Learning Scene Structure from Ambient Sound

Data-Driven AI Model Signal-Awareness Enhancement and Introspection

A Two-Stage Approach towards Generalization in Knowledge Base Question
  Answering

Understanding COVID-19 Vaccine Reaction through Comparative Analysis on
  Twitter

Look Before You Leap: Safe Model-Based Reinforcement Learning with Human

Efficient Projection-Free Online Convex Optimization with Membership
  Oracle

SwAMP: Swapped Assignment of Multi-Modal Pairs for Cross-Modal Retrieval

BagBERT: BERT-based bagging-stacking for multi-topic classification

Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language

CEHR-BERT: Incorporating temporal information from structured EHR data
  to improve prediction tasks

Secure and Reliable Transfer Learning Framework for 6G-enabled Internet

Human-Centric Decision Support Tools: Insights from Real-World Design
  and Implementation

Evaluation of Deep Learning Topcoders Method for Neuron
  Individualization in Histological Macaque Brain Section

Theoretical and empirical analysis of a fast algorithm for extracting
  polygons from signed distance bounds

A framework for comprehensible multi-modal detection of cyber threats

Multimodal Transformer with Variable-length Memory for
  Vision-and-Language Navigation

Multimodal Approach for Metadata Extraction from German Scientific
  Publications

Diversity of symptom phenotypes in SARS-CoV-2 community infections
  observed in multiple large datasets

A Supervised Feature Selection Method For Mixed-Type Data using
  Density-based Feature Clustering

Critical Sentence Identification in Legal Cases Using Multi-Class

Transmission Power Control for Over-the-Air Federated Averaging at
  Network Edge

An Underexplored Dilemma between Confidence and Calibration in Quantized

Detecting contagious spreading of urban innovations on the global city
  network

STNN-DDI: A Substructure-aware Tensor Neural Network to Predict
  Drug-Drug Interactions

OSSEM: one-shot speaker adaptive speech enhancement using meta learning

Single image dehazing via combining the prior knowledge and CNNs

LSP : Acceleration and Regularization of Graph Neural Networks via
  Locality Sensitive Pruning of Graphs

Efficient Neural Network Training via Forward and Backward Propagation

Effects of Design and Hydrodynamic Parameters on Optimized Swimming for
  Simulated, Fish-inspired Robots

Explanatory Analysis and Rectification of the Pitfalls in COVID-19
  Datasets

A Quantum Natural Language Processing Approach to Musical Intelligence

Automatically detecting data drift in machine learning classifiers

DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent

Conditional Alignment and Uniformity for Contrastive Learning with
  Continuous Proxy Labels

Parallel Physics-Informed Neural Networks with Bidirectional Balance

Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure
  Preservation

Machine Learning Models Disclosure from Trusted Research Environments
  (TRE), Challenges and Opportunities

AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On
  Analog Compute-in-Memory Accelerator

Safe Real-Time Optimization using Multi-Fidelity Gaussian Processes

Learning Graphs from Smooth and Graph-Stationary Signals with Hidden
  Variables

Topic-aware latent models for representation learning on networks

Machine learning glass caging order parameters with an artificial nested

Deep Learning for Beam-Management: State-of-the-Art, Opportunities and

VeSoNet: Traffic-Aware Content Caching for Vehicular Social Networks
  based on Path Planning and Deep Reinforcement Learning

Deducing Optimal Classification Algorithm for Heterogeneous Fabric

Piezoelectric modulus prediction using machine learning and graph neural
  networks

Entropy optimized semi-supervised decomposed vector-quantized
  variational autoencoder model based on transfer learning for multiclass text
  classification and generation

Deep Attention-guided Graph Clustering with Dual Self-supervision

Nearly Optimal Linear Convergence of Stochastic Primal-Dual Methods for
  Linear Programming

Understanding the Generalization Benefit of Model Invariance from a Data

Space-Time Memory Network for Sounding Object Localization in Videos

Anonymous communication system provides a secure environment without
  leaking metadata, which has many application scenarios in IoT

Which is Making the Contribution: Modulating Unimodal and Cross-modal
  Dynamics for Multimodal Sentiment Analysis

A comprehensive and fair comparison of two neural operators (with
  practical extensions) based on FAIR data

Training Generative Adversarial Networks with Adaptive Composite
  Gradient

DACFL: Dynamic Average Consensus Based Federated Learning in
  Decentralized Topology

ResNEsts and DenseNEsts: Block-based DNN Models with Improved
  Representation Guarantees

Multi-Agent Learning for Iterative Dominance Elimination: Formal
  Barriers and New Algorithms

Using word embedding for environmental violation analysis: Evidence from
  Pennsylvania unconventional oil and gas compliance reports

Handwritten Digit Recognition Using Improved Bounding Box Recognition
  Technique

Spatially and Seamlessly Hierarchical Reinforcement Learning for State
  Space and Policy space in Autonomous Driving

Clustering of longitudinal data: A tutorial on a variety of approaches

Cross-Layered Distributed Data-driven Framework For Enhanced Smart Grid
  Cyber-Physical Security

Which priors matter? Benchmarking models for learning latent dynamics

Metagenome2Vec: Building Contextualized Representations for Scalable
  Metagenome Analysis

Towards Active Vision for Action Localization with Reactive Control and
  Predictive Learning

A method to challenge symmetries in data with self-supervised learning

Dealing with the Unknown: Pessimistic Offline Reinforcement Learning

Multi-Task Prediction of Clinical Outcomes in the Intensive Care Unit
  using Flexible Multimodal Transformers

Constrained Instance and Class Reweighting for Robust Learning under
  Label Noise

DistIR: An Intermediate Representation and Simulator for Efficient
  Neural Network Distribution

AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at
  Scale

Efficient Data Compression for 3D Sparse TPC via Bicephalous
  Convolutional Autoencoder

A Computational Approach to Walt Whitman's Stylistic Changes in Leaves
  of Grass

MNet-Sim: A Multi-layered Semantic Similarity Network to Evaluate
  Sentence Similarity

Robust deep learning-based semantic organ segmentation in hyperspectral
  images

Self-Supervised Audio-Visual Representation Learning with Relaxed
  Cross-Modal Synchronicity

Object-Centric Representation Learning with Generative Spatial-Temporal

Gaussian Process Meta Few-shot Classifier Learning via Linear
  Discriminant Laplace Approximation

Early Prediction of Mortality in Critical Care Setting in Sepsis
  Patients Using Structured Features and Unstructured Clinical Notes

Identifying the Risks of Chronic Diseases Using BMI Trajectories

DataWords: Getting Contrarian with Text, Structured Data and

On minimizers and convolutional filters: a partial justification for the
  effectiveness of CNNs in categorical sequence analysis

The Internet of Federated Things (IoFT): A Vision for the Future and
  In-depth Survey of Data-driven Approaches for Federated Learning

An adaptive 3D virtual learning environment for training software
  developers in scrum

A Differentiable Recipe for Learning Visual Non-Prehensile Planar

Mode connectivity in the loss landscape of parameterized quantum
  circuits

Machine-learning custom-made basis functions for partial differential
  equations

Identifying the atmospheric drivers of drought and heat using a smoothed
  deep learning approach

Strong system-bath coupling reshapes characteristics of quantum thermal
  machines

Double Control Variates for Gradient Estimation in Discrete Latent

Can Information Flows Suggest Targets for Interventions in Neural
  Circuits?

Generalization in quantum machine learning from few training data

Unsupervised Spiking Instance Segmentation on Event Data using STDP

Generalized Kernel Ridge Regression for Causal Inference with
  Missing-at-Random Sample Selection

Towards a Unified Information-Theoretic Framework for Generalization

Reinforcement Learning for Security-Aware Computation Offloading in
  Satellite Networks

Learning Perceptual Concepts by Bootstrapping from Human Queries

A research framework for writing differentiable PDE discretizations in
  JAX

Early Myocardial Infarction Detection over Multi-view Echocardiography

A Spatial-temporal Graph Deep Learning Model for Urban Flood Nowcasting
  Leveraging Heterogeneous Community Features

Computing Sparse Jacobians and Hessians Using Algorithmic

Reason first, then respond: Modular Generation for Knowledge-infused
  Dialogue

Deep diffusion-based forecasting of COVID-19 by incorporating
  network-level mobility information

Harmless interpolation in regression and classification with structured
  features

QUDOS: Quorum-Based Cloud-Edge Distributed DNNs for Security Enhanced
  Industry 4.0

CAESynth: Real-Time Timbre Interpolation and Pitch Control with
  Conditional Autoencoders

Optimal Rate-Distortion-Leakage Tradeoff for Single-Server Information
  Retrieval

RapidRead: Global Deployment of State-of-the-art Radiology AI for a
  Large Veterinary Teleradiology Practice

Ethically aligned Deep Learning: Unbiased Facial Aesthetic Prediction

Tackling Morphological Analogies Using Deep Learning -- Extended Version

Thermodynamics and dielectric response of $\text{BaTiO}_3$ by
  data-driven modeling

Human-in-the-Loop Disinformation Detection: Stance, Sentiment, or
  Something Else?

Membership Inference Attacks Against Self-supervised Speech Models

Residual Quantity in Percentage of Factory Machines Using Computer
  Vision and Mathematical Methods

An Application of Quantum Machine Learning on Quantum Correlated
  Systems: Quantum Convolutional Neural Network as a Classifier for Many-Body
  Wavefunctions from the Quantum Variational Eigensolver

MixACM: Mixup-Based Robustness Transfer via Distillation of Activated
  Channel Maps

Universal Lower Bound for Learning Causal DAGs with Atomic Interventions

Tightening the Approximation Error of Adversarial Risk with Auto Loss
  Function Search

Look back, look around: a systematic analysis of effective predictors
  for new outlinks in focused Web crawling

MMD-ReID: A Simple but Effective Solution for Visible-Thermal Person
  ReID

Data privacy protection in microscopic image analysis for material data
  mining

MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural
  Network for MR Image Reconstruction using Dynamic Weight Prediction

Improving Next-Application Prediction with Deep Personalized-Attention

Classifying DNS Servers based on Response Message Matrix using Machine
  Learning

PIMIP: An Open Source Platform for Pathology Information Management and
  Integration

Learning to Generalize Compositionally by Transferring Across Semantic
  Parsing Tasks

RAVE: A variational autoencoder for fast and high-quality neural audio
  synthesis

Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot
  Image Recognition

Bilinear pooling and metric learning network for early Alzheimer's
  disease identification with FDG-PET images

Classifying Human Activities with Inertial Sensors: A Machine Learning
  Approach

Dual Prototypical Contrastive Learning for Few-shot Semantic

Analysis of Sectoral Profitability of the Indian Stock Market Using an
  LSTM Regression Model

What goes on inside rumour and non-rumour tweets and their reactions: A
  Psycholinguistic Analyses

Risk Sensitive Model-Based Reinforcement Learning using Uncertainty
  Guided Planning

Time-Varying Channel Prediction for RIS-Assisted MU-MISO Networks via

On Representation Knowledge Distillation for Graph Neural Networks

An AI-based Solution for Enhancing Delivery of Digital Learning for
  Future Teachers

Analyzing and Improving Fault Tolerance of Learning-Based Navigation
  Systems

A Survey and Empirical Evaluation of Parallel Deep Learning Frameworks

Graph-Based Depth Denoising & Dequantization for Point Cloud Enhancement

Learning from Multiple Time Series: A Deep Disentangled Approach to
  Diversified Time Series Forecasting

Solving PDE-constrained Control Problems using Operator Learning

An Interactive Visualization Tool for Understanding Active Learning

Self-Interpretable Model with TransformationEquivariant Interpretation

Practical, Provably-Correct Interactive Learning in the Realizable
  Setting: The Power of True Believers

Real-time Instance Segmentation of Surgical Instruments using Attention
  and Multi-scale Feature Fusion

The Role of Adaptive Optimizers for Honest Private Hyperparameter
  Selection

Label-Aware Distribution Calibration for Long-tailed Classification

Machine Learning for Multimodal Electronic Health Records-based
  Research: Challenges and Perspectives

Safe Policy Optimization with Local Generalized Linear Function

Mitigating domain shift in AI-based tuberculosis screening with
  unsupervised domain adaptation

Combining machine learning with physics: A framework for tracking and
  sorting multiple dark solitons

EvoLearner: Learning Description Logics with Evolutionary Algorithms

An Instance-Dependent Analysis for the Cooperative Multi-Player
  Multi-Armed Bandit

Performance Evaluation of Python Parallel Programming Models: Charm4Py
  and mpi4py

A toolkit for data-driven discovery of governing equations in high-noise
  regimes

TACCL: Guiding Collective Algorithm Synthesis using Communication
  Sketches

On Assessing The Safety of Reinforcement Learning algorithms Using
  Formal Methods

Multiscale DeepONet for Nonlinear Operators in Oscillatory Function
  Spaces for Building Seismic Wave Responses

Cold Brew: Distilling Graph Node Representations with Incomplete or
  Missing Neighborhoods

Efficient estimates of optimal transport via low-dimensional embeddings

Solving Marginal MAP Exactly by Probabilistic Circuit Transformations

MassFormer: Tandem Mass Spectrum Prediction with Graph Transformers

Explaining Hyperparameter Optimization via Partial Dependence Plots

Planar Robot Casting with Real2Sim2Real Self-Supervised Learning

Unsupervised Approaches for Out-Of-Distribution Dermoscopic Lesion
  Detection

Solution to the Non-Monotonicity and Crossing Problems in Quantile

TAGLETS: A System for Automatic Semi-Supervised Learning with Auxiliary
  Data

Deep Learning Approach for Aggressive Driving Behaviour Detection

The World in a Grain of Sand: Condensing the String Vacuum Degeneracy

Efficiently Learning Any One Hidden Layer ReLU Network From Queries

Estimating High Order Gradients of the Data Distribution by Denoising

SustainBench: Benchmarks for Monitoring the Sustainable Development
  Goals with Machine Learning

Directional Message Passing on Molecular Graphs via Synthetic
  Coordinates

OMD: Orthogonal Malware Detection Using Audio, Image, and Static
  Features

Data-driven Set-based Estimation of Polynomial Systems with Application
  to SIR Epidemics

HAPSSA: Holistic Approach to PDF Malware Detection Using Signal and
  Statistical Analysis

Automated pharyngeal phase detection and bolus localization in
  videofluoroscopic swallowing study: Killing two birds with one stone?

Interactive Inverse Reinforcement Learning for Cooperative Games

A Comparison of Model-Free and Model Predictive Control for Price
  Responsive Water Heaters

Universal and data-adaptive algorithms for model selection in linear
  contextual bandits

SMU: smooth activation function for deep networks using smoothing
  maximum technique

Information-Theoretic Bias Assessment Of Learned Representations Of
  Pretrained Face Recognition

Approximate Neural Architecture Search via Operation Distribution
  Learning

Machine Learning-based Test Selection for Simulation-based Testing of
  Self-driving Cars Software

Evaluating Predictive Uncertainty and Robustness to Distributional Shift
  Using Real World Data

Consistent Sufficient Explanations and Minimal Local Rules for
  explaining regression and classification models

S3RP: Self-Supervised Super-Resolution and Prediction for
  Advection-Diffusion Process

Accelerating GAN training using highly parallel hardware on public cloud

DeepSteal: Advanced Model Extractions Leveraging Efficient Weight
  Stealing in Memories

Variational Automatic Curriculum Learning for Sparse-Reward Cooperative
  Multi-Agent Problems

Machine Learning Guided 3D Image Recognition for Carbonate Pore and
  Mineral Volumes Determination

A Private and Computationally-Efficient Estimator for Unbounded
  Gaussians

Neyman-Pearson Multi-class Classification via Cost-sensitive Learning

Long Short-Term Memory Implementation Exploiting Passive RRAM Crossbar
  Array

Information-Theoretic Bayes Risk Lower Bounds for Realizable Models

Improved Regularization and Robustness for Fine-tuning in Neural
  Networks

Fast and Scalable Spike and Slab Variable Selection in High-Dimensional

BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images

Sexism Prediction in Spanish and English Tweets Using Monolingual and
  Multilingual BERT and Ensemble Models

BARFED: Byzantine Attack-Resistant Federated Averaging Based on Outlier
  Elimination

Wrapped Haptic Display for Communicating Physical Robot Learning

AI-UPV at IberLEF-2021 DETOXIS task: Toxicity Detection in
  Immigration-Related Web News Comments Using Transformers and Statistical
  Models

An Approach for Combining Multimodal Fusion and Neural Architecture
  Search Applied to Knowledge Tracing

Synthetic magnetic resonance images for domain adaptation: Application
  to fetal brain tissue segmentation

SEOFP-NET: Compression and Acceleration of Deep Neural Networks for
  Speech Enhancement Using Sign-Exponent-Only Floating-Points

Adversarial sampling of unknown and high-dimensional conditional

Gradient-Descent for Randomized Controllers under Partial Observability

Robust and Information-theoretically Safe Bias Classifier against

Sub-realtime simulation of a neuronal network of natural density

Get a Model! Model Hijacking Attack Against Machine Learning Models

Can semi-supervised learning reduce the amount of manual labelling
  required for effective radio galaxy morphology classification?

A Comparison of Deep Learning Architectures for Optical Galaxy
  Morphology Classification

Grassmannian learning mutual subspace method for image set recognition

threaTrace: Detecting and Tracing Host-based Threats in Node Level
  Through Provenance Graph Learning

Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level
  Strategy

Characterizing the adversarial vulnerability of speech self-supervised
  learning

When Cyber-Physical Systems Meet AI: A Benchmark, an Evaluation, and a
  Way Forward

Learning via Long Short-Term Memory (LSTM) network for predicting
  strains in Railway Bridge members under train induced vibration

Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation

Best-Response Dynamics and Fictitious Play in Identical-Interest and
  Zero-Sum Stochastic Games

SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot
  Learning

Spirometry-based airways disease simulation and recognition using
  Machine Learning approaches

Real-time landmark detection for precise endoscopic submucosal
  dissection via shape-aware relation network

Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of

Residual-Guided Learning Representation for Self-Supervised Monocular

Unsupervised Learning for Identifying High Eigenvector Centrality Nodes:
  A Graph Neural Network Approach

The Hardness Analysis of Thompson Sampling for Combinatorial
  Semi-bandits with Greedy Oracle

BlueFog: Make Decentralized Algorithms Practical for Optimization and

Learning an Adaptive Meta Model-Generator for Incrementally Updating

A Tungsten Deep Neural-Network Potential for Simulating Mechanical
  Property Degradation Under Fusion Service Environment

Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D
  Shape Synthesis

Mimic: An adaptive algorithm for multivariate time series classification

Cross-Modal Object Tracking: Modality-Aware Representations and A
  Unified Benchmark

ARISE: ApeRIodic SEmi-parametric Process for Efficient Markets without
  Periodogram and Gaussianity Assumptions

Gated Linear Model induced U-net for surrogate modeling and uncertainty

A Novel Data Pre-processing Technique: Making Data Mining Robust to
  Different Units and Scales of Measurement

Learning a compass spin model with neural network quantum states

Template NeRF: Towards Modeling Dense Shape Correspondences from
  Category-Specific Object Images

Deep Learning Adapted Acceleration for Limited-view Photoacoustic

Automated Detection of GDPR Disclosure Requirements in Privacy Policies
  using Deep Active Learning

Dense Representative Tooth Landmark/axis Detection Network on 3D Model

AI challenges for predicting the impact of mutations on protein
  stability

Artificial Intelligence Technology analysis using Artificial
  Intelligence patent through Deep Learning model and vector space model

Use of 1D-CNN for input data size reduction of LSTM in Hourly
  Rainfall-Runoff modeling

A Deep Learning Technique using Low Sampling rate for residential Non
  Intrusive Load Monitoring

TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning

Data-Centric Engineering: integrating simulation, machine learning and
  statistics. Challenges and Opportunities

Retrieving Speaker Information from Personalized Acoustic Models for

CoughTrigger: Earbuds IMU Based Cough Detection Activator Using An
  Energy-efficient Sensitivity-prioritized Time Series Classifier

Interactive Error Correcting Codes Over Binary Erasure Channels
  Resilient to $>\frac12$ Adversarial Corruption

Teamwork makes von Neumann work: Min-Max Optimization in Two-Team
  Zero-Sum Games

Prediction of cognitive decline for enrichment of Alzheimer's disease

Data-Efficient Deep Reinforcement Learning for Attitude Control of
  Fixed-Wing UAVs: Field Experiments

Learning Finite Linear Temporal Logic Specifications with a Specialized

Optimization of the Model Predictive Control Meta-Parameters Through

Look at the Variance! Efficient Black-box Explanations with Sobol-based
  Sensitivity Analysis

Mapping Access to Water and Sanitation in Colombia using Publicly
  Accessible Satellite Imagery, Crowd-sourced Geospatial Information and
  RandomForests

Plumber: Diagnosing and Removing Performance Bottlenecks in Machine
  Learning Data Pipelines

NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient
  Framework

Stable Lifelong Learning: Spiking neurons as a solution to instability
  in plastic neural networks

Cross-Lingual Citations in English Papers: A Large-Scale Analysis of
  Prevalence, Usage, and Impact

Learning-based Remote Radio Head Selection and Localization in
  Distributed Antenna System

DQRE-SCnet: A novel hybrid approach for selecting users in Federated
  Learning with Deep-Q-Reinforcement Learning based on Spectral Clustering

Developing neural machine translation models for Hungarian-English

Iterative Causal Discovery in the Possible Presence of Latent
  Confounders and Selection Bias

Acquisition-invariant brain MRI segmentation with informative

Theme Transformer: Symbolic Music Generation with Theme-Conditioned

Learn-Morph-Infer: a new way of solving the inverse problem for brain
  tumor modeling

Sampling from Log-Concave Distributions with Infinity-Distance

Wireless Edge-Empowered Metaverse: A Learning-Based Incentive Mechanism
  for Virtual Reality

DVS: Deep Visibility Series and its Application in Construction Cost
  Index Forecasting

High Performance Out-of-sample Embedding Techniques for Multidimensional
  Scaling

How does a Pre-Trained Transformer Integrate Contextual Keywords?
  Application to Humanitarian Computing

Meta-TTS: Meta-Learning for Few-Shot Speaker Adaptive Text-to-Speech

Positivity Validation Detection and Explainability via Zero Fraction
  Multi-Hypothesis Testing and Asymmetrically Pruned Decision Trees

Style Transfer with Target Feature Palette and Attention Coloring

SL-CycleGAN: Blind Motion Deblurring in Cycles using Sparse Learning

Biologically Inspired Oscillating Activation Functions Can Bridge the
  Performance Gap between Biological and Artificial Neurons

GWSkyNet-Multi: A Machine Learning Multi-Class Classifier for LIGO-Virgo
  Public Alerts

Varuna: Scalable, Low-cost Training of Massive Deep Learning Models

A Review of Location Encoding for GeoAI: Methods and Applications

Exponential escape efficiency of SGD from sharp minima in non-stationary
  regime

Predictive Model for Gross Community Production Rate of Coral Reefs
  using Ensemble Learning Methodologies

The Three-Dimensional Structural Configuration of the Central Retinal
  Vessel Trunk and Branches as a Glaucoma Biomarker

Explainable Deep Reinforcement Learning for Portfolio Management: An
  Empirical Approach

NarrationBot and InfoBot: A Hybrid System for Automated Video

AI-Fuzzy Markup Language with Computational Intelligence for High-School
  Student Learning

V-MAO: Generative Modeling for Multi-Arm Manipulation of Articulated
  Objects

Machine Learning-Assisted E-jet Printing of Organic Flexible Biosensors

Proposing an Interactive Audit Pipeline for Visual Privacy Research

FinRL-Podracer: High Performance and Scalable Deep Reinforcement
  Learning for Quantitative Finance

CubeLearn: End-to-end Learning for Human Motion Recognition from Raw
  mmWave Radar Signals

FinRL: Deep Reinforcement Learning Framework to Automate Trading in
  Quantitative Finance

Understanding Layer-wise Contributions in Deep Neural Networks through
  Spectral Analysis

Towards noise robust trigger-word detection with contrastive learning
  pre-task for fast on-boarding of new trigger-words

A Deep Reinforcement Learning Approach for Composing Moving IoT Services

Trend and Thoughts: Understanding Climate Change Concern using Machine
  Learning and Social Media Data

CALText: Contextual Attention Localization for Offline Handwritten Text

Kernel Methods for Multistage Causal Inference: Mediation Analysis and
  Dynamic Treatment Effects

Exponential Bellman Equation and Improved Regret Bounds for
  Risk-Sensitive Reinforcement Learning

Time Discretization-Invariant Safe Action Repetition for Policy Gradient
  Methods

Transformer Based Bengali Chatbot Using General Knowledge Dataset

Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language
  Modeling

Deep Learning Based Model for Breast Cancer Subtype Classification

Optimal and Efficient Dynamic Regret Algorithms for Non-Stationary
  Dueling Bandits

Detecting COVID-19 from Chest Computed Tomography Scans using AI-Driven
  Android Application

EEGEyeNet: a Simultaneous Electroencephalography and Eye-tracking
  Dataset and Benchmark for Eye Movement Prediction

On pseudo-absence generation and machine learning for locust breeding
  ground prediction in Africa

TND-NAS: Towards Non-Differentiable Objectives in Differentiable Neural

Demystifying Deep Learning Models for Retinal OCT Disease Classification
  using Explainable AI

An Adaptive Honeypot Configuration, Deployment and Maintenance Strategy

Action Recognition using Transfer Learning and Majority Voting for CSGO

Towards Calibrated Model for Long-Tailed Visual Recognition from Prior

Trajectory PHD Filter with Unknown Detection Profile and Clutter Rate

AI-based Radio Resource Management and Trajectory Design for PD-NOMA
  Communication in IRS-UAV Assisted Networks

"How Does It Detect A Malicious App?" Explaining the Predictions of
  AI-based Android Malware Detector

Learning equilibria with personalized incentives in a class of
  nonmonotone games

A new baseline for retinal vessel segmentation: Numerical identification
  and correction of methodological inconsistencies affecting 100+ papers

Development of a robust cascaded architecture for intelligent robot
  grasping using limited labelled data

GHRS: Graph-based Hybrid Recommendation System with Application to Movie

Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free
  Survival using a Full-Scale UNet with Attention

Deep Noise Suppression Maximizing Non-Differentiable PESQ Mediated by a
  Non-Intrusive PESQNet

Class Token and Knowledge Distillation for Multi-head Self-Attention
  Speaker Verification Systems

Focusing on Possible Named Entities in Active Named Entity Label

Multi Agent Reinforcement Learning Trajectory Design and Two-Stage
  Resource Management in CoMP UAV VLC Networks

Prediction of Pedestrian Spatiotemporal Risk Levels for Intelligent
  Vehicles: A Data-driven Approach

Distributed stochastic proximal algorithm with random reshuffling for
  non-smooth finite-sum optimization

Will You Ever Become Popular? Learning to Predict Virality of Dance
  Clips

Order-Guided Disentangled Representation Learning for Ulcerative Colitis
  Classification with Limited Labels

Analyzing Architectures for Neural Machine Translation Using Low
  Computational Resources

SIG-VC: A Speaker Information Guided Zero-shot Voice Conversion System
  for Both Human Beings and Machines

Physics-Informed Neural Operator for Learning Partial Differential
  Equations

Generation of microbial colonies dataset with deep learning style
  transfer

Privacy attacks for automatic speech recognition acoustic models in a
  federated learning framework

Dynamic Regret Minimization for Control of Non-stationary Linear

MQBench: Towards Reproducible and Deployable Model Quantization
  Benchmark

CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms

Asynchronous Collaborative Localization by Integrating Spatiotemporal
  Graph Learning with Model-Based Estimation

Increasing Data Diversity with Iterative Sampling to Improve Performance

Sharp Bounds for Federated Averaging (Local SGD) and Continuous

Toward Learning Human-aligned Cross-domain Robust Models by Countering
  Misaligned Features