Scheduled Commit

data/1412.6806.json

@@ -0,0 +1 @@
+{"paper_url": "https://arxiv.org/abs/1412.6806", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Enhanced Convolutional Neural Networks for Improved Image Classification](https://huggingface.co/papers/2502.00663) (2025)\n* [Scalable Forward-Forward Algorithm](https://huggingface.co/papers/2501.03176) (2025)\n* [Hybrid Deepfake Image Detection: A Comprehensive Dataset-Driven Approach Integrating Convolutional and Attention Mechanisms with Frequency Domain Features](https://huggingface.co/papers/2502.10682) (2025)\n* [Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification](https://huggingface.co/papers/2501.15757) (2025)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}

data/2501.03176.json

@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2501.03176", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [ElasticZO: A Memory-Efficient On-Device Learning with Combined Zeroth- and First-Order Optimization](https://huggingface.co/papers/2501.04287) (2025)\n* [Mono-Forward: Backpropagation-Free Algorithm for Efficient Neural Network Training Harnessing Local Errors](https://huggingface.co/papers/2501.09238) (2025)\n* [Hardware-In-The-Loop Training of a 4f Optical Correlator with Logarithmic Complexity Reduction for CNNs](https://huggingface.co/papers/2501.04141) (2025)\n* [Powerful Design of Small Vision Transformer on CIFAR10](https://huggingface.co/papers/2501.06220) (2025)\n* [Contrastive Forward-Forward: A Training Algorithm of Vision Transformer](https://huggingface.co/papers/2502.00571) (2025)\n* [An Efficient Row-Based Sparse Fine-Tuning](https://huggingface.co/papers/2502.11439) (2025)\n* [iFormer: Integrating ConvNet and Transformer for Mobile Application](https://huggingface.co/papers/2501.15369) (2025)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}