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@@ -83,7 +83,7 @@ Rigid body flows for sampling molecular crystal structures,"Jonas Köhler, Miche
83
  PixelAsParam: A Gradient View on Diffusion Sampling with Guidance,"Anh-Dung Dinh, Daochang Liu, Chang Xu",,,,,,,,,
84
  Constant Matters: Fine-grained Error Bound on Differentially Private Continual Observation,"Hendrik Fichtenberger, Monika Henzinger, Jalaj Upadhyay",,,,,,,,,
85
  Target-Aware Generative Augmentations for Single-Shot Adaptation,"Kowshik Thopalli, Rakshith Subramanyam, Pavan Turaga, Jayaraman J. Thiagarajan",http://arxiv.org/abs/2305.13284,https://github.com/Rakshith-2905/SiSTA,https://huggingface.co/papers/2305.13284,,,,2305.13284,4,2
86
- Underspecification Presents Challenges for Credibility in Modern Machine Learning,"Alexander D'Amour, Katherine Heller, Dan Moldovan, Ben Adlam, Babak Alipanahi, Alex Beutel, Christina Chen, Jonathan Deaton, Jacob Eisenstein, Matthew Hoffman, Farhad Hormozdiari, Neil Houlsby, Shaobo Hou, Ghassen Jerfel, Alan Karthikesalingam, Mario Lucic, Yian Ma, Cory McLean, Diana Mincu, Akinori Mitani, Andrea Montanari, Zachary Nado, Vivek Natarajan, Christopher Nielson, Thomas F. Osborne, Rajiv Raman, Kim Ramasamy, Rory sayres, Jessica Schrouff, Martin Seneviratne, Shannon Sequeira, Harini Suresh, Victor Veitch, Maksym Vladymyrov, Xuezhi Wang, Kellie Webster, Steve Yadlowsky, Taedong Yun, Xiaohua Zhai, D. Sculley",http://arxiv.org/abs/2011.03395,,https://huggingface.co/papers/2011.03395,,,,2011.03395,22,3
87
  Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation,"Ruijiang Dong, Feng Liu, Haoang Chi, Tongliang Liu, Mingming Gong, Gang Niu, Masashi Sugiyama, Bo Han",,,,,,,,,
88
  Large Language Models Struggle to Learn Long-Tail Knowledge,"Nikhil Kandpal, Haikang Deng, Adam Roberts, Eric Wallace, Colin Raffel",http://arxiv.org/abs/2211.08411,,https://huggingface.co/papers/2211.08411,,,,2211.08411,5,3
89
  Adaptive Annealed Importance Sampling with Constant Rate Progress,"Shirin Goshtasbpour, Victor Cohen, Perez Fernando",,,,,,,,,
@@ -1141,7 +1141,7 @@ New metrics and search algorithms for weighted causal DAGs,"Davin Choo, Kirankum
1141
  CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms,"Shengyi Huang, Rousslan Fernand Julien Dossa, Chang Ye, Jeff Braga, Dipam Chakraborty, Kinal Mehta, João Madeira Araujo",http://arxiv.org/abs/2111.08819,https://github.com/vwxyzjn/cleanrl,https://huggingface.co/papers/2111.08819,,,,2111.08819,4,1
1142
  Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning,"Wu Lin, Valentin Duruisseaux, Melvin Leok, Frank Nielsen, Khan Emtiyaz, Mark Schmidt",http://arxiv.org/abs/2302.09738,https://github.com/yorkerlin/StructuredNGD-DL,https://huggingface.co/papers/2302.09738,,,,2302.09738,6,0
1143
  Polarity Is All You Need to Learn and Transfer Faster,"Alice (Qingyang) Wang, Michael Powell, Eric Bridgeford, Ali Geisa, Joshua Vogelstein",http://arxiv.org/abs/2303.17589,,https://huggingface.co/papers/2303.17589,,,,2303.17589,5,1
1144
- Scaling Vision Transformers to 22 Billion Parameters,"Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Collier, Alexey Gritsenko, Vighnesh N Birodkar, Cristina Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah Harmsen, Neil Houlsby",http://arxiv.org/abs/2302.05442,,https://huggingface.co/papers/2302.05442,,,,2302.05442,22,0
1145
  Toward Fair and Robust Estimation of Optimal Treatment Regimes,"Kwangho Kim, Jose Zubizarreta",,,,,,,,,
1146
  Internally Rewarded Reinforcement Learning,"Mengdi Li, Xufeng Zhao, Jae Hee Lee, Cornelius Weber, Stefan Wermter",http://arxiv.org/abs/2302.00270,,https://huggingface.co/papers/2302.00270,,,,2302.00270,5,0
1147
  FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models,"Songze Li, Duanyi YAO, Jin Liu",http://arxiv.org/abs/2304.13407,,https://huggingface.co/papers/2304.13407,,,,2304.13407,3,0
@@ -1184,7 +1184,7 @@ Explainability as statistical inference,"Hugo Senetaire, Damien Garreau, Jes Fre
1184
  Learning Prescriptive ReLU Networks,"Wei Sun, Asterios Tsiourvas",http://arxiv.org/abs/2306.00651,,https://huggingface.co/papers/2306.00651,,,,2306.00651,2,0
1185
  Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions,"Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Jie-Jing Shao, Yuke Xiang, Yu-Feng Li",,,,,,,,,
1186
  Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels,"Simone Bombari, Shayan Kiyani, Marco Mondelli",http://arxiv.org/abs/2302.01629,,https://huggingface.co/papers/2302.01629,,,,2302.01629,3,0
1187
- Human-Timescale Adaptation in an Open-Ended Task Space,"Jakob Bauer, Kate Baumli, Feryal Behbahani, Avishkar Bhoopchand, Natalie Bradley-Schmieg, Michael Chang, Natalie Clay, Adrian Collister, Vibhavari Dasagi, Lucy Gonzalez, Karol Gregor, Edward Hughes, Sheleem Kashem, Maria Loks-Thompson, Hannah Openshaw, Jack Parker-Holder, Shreya Pathak, Nicolas Perez-Nieves, Nemanja Rakicevic, Tim Rocktäschel, Yannick Schroecker, Satinder Singh, Jakub Sygnowski, Karl Tuyls, Sarah York, Alexander Zacherl, Lei Zhang",http://arxiv.org/abs/2301.07608,,https://huggingface.co/papers/2301.07608,,,,2301.07608,22,1
1188
  Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Linear Speedup and Partial Participation,"Xiaoyun Li, Ping Li",,,,,,,,,
1189
  ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts,"Minghao Xu, Xinyu Yuan, Santiago Miret, Jian Tang",http://arxiv.org/abs/2301.12040,,https://huggingface.co/papers/2301.12040,,,,2301.12040,4,0
1190
  Specializing Smaller Language Models towards Multi-Step Reasoning,"Yao Fu, Hao Peng, Litu Ou, Ashish Sabharwal, Tushar Khot",http://arxiv.org/abs/2301.12726,,https://huggingface.co/papers/2301.12726,,,,2301.12726,5,1
 
83
  PixelAsParam: A Gradient View on Diffusion Sampling with Guidance,"Anh-Dung Dinh, Daochang Liu, Chang Xu",,,,,,,,,
84
  Constant Matters: Fine-grained Error Bound on Differentially Private Continual Observation,"Hendrik Fichtenberger, Monika Henzinger, Jalaj Upadhyay",,,,,,,,,
85
  Target-Aware Generative Augmentations for Single-Shot Adaptation,"Kowshik Thopalli, Rakshith Subramanyam, Pavan Turaga, Jayaraman J. Thiagarajan",http://arxiv.org/abs/2305.13284,https://github.com/Rakshith-2905/SiSTA,https://huggingface.co/papers/2305.13284,,,,2305.13284,4,2
86
+ Underspecification Presents Challenges for Credibility in Modern Machine Learning,"Alexander D'Amour, Katherine Heller, Dan Moldovan, Ben Adlam, Babak Alipanahi, Alex Beutel, Christina Chen, Jonathan Deaton, Jacob Eisenstein, Matthew Hoffman, Farhad Hormozdiari, Neil Houlsby, Shaobo Hou, Ghassen Jerfel, Alan Karthikesalingam, Mario Lucic, Yian Ma, Cory McLean, Diana Mincu, Akinori Mitani, Andrea Montanari, Zachary Nado, Vivek Natarajan, Christopher Nielson, Thomas F. Osborne, Rajiv Raman, Kim Ramasamy, Rory sayres, Jessica Schrouff, Martin Seneviratne, Shannon Sequeira, Harini Suresh, Victor Veitch, Maksym Vladymyrov, Xuezhi Wang, Kellie Webster, Steve Yadlowsky, Taedong Yun, Xiaohua Zhai, D. Sculley",http://arxiv.org/abs/2011.03395,,https://huggingface.co/papers/2011.03395,,,,2011.03395,40,3
87
  Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation,"Ruijiang Dong, Feng Liu, Haoang Chi, Tongliang Liu, Mingming Gong, Gang Niu, Masashi Sugiyama, Bo Han",,,,,,,,,
88
  Large Language Models Struggle to Learn Long-Tail Knowledge,"Nikhil Kandpal, Haikang Deng, Adam Roberts, Eric Wallace, Colin Raffel",http://arxiv.org/abs/2211.08411,,https://huggingface.co/papers/2211.08411,,,,2211.08411,5,3
89
  Adaptive Annealed Importance Sampling with Constant Rate Progress,"Shirin Goshtasbpour, Victor Cohen, Perez Fernando",,,,,,,,,
 
1141
  CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms,"Shengyi Huang, Rousslan Fernand Julien Dossa, Chang Ye, Jeff Braga, Dipam Chakraborty, Kinal Mehta, João Madeira Araujo",http://arxiv.org/abs/2111.08819,https://github.com/vwxyzjn/cleanrl,https://huggingface.co/papers/2111.08819,,,,2111.08819,4,1
1142
  Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning,"Wu Lin, Valentin Duruisseaux, Melvin Leok, Frank Nielsen, Khan Emtiyaz, Mark Schmidt",http://arxiv.org/abs/2302.09738,https://github.com/yorkerlin/StructuredNGD-DL,https://huggingface.co/papers/2302.09738,,,,2302.09738,6,0
1143
  Polarity Is All You Need to Learn and Transfer Faster,"Alice (Qingyang) Wang, Michael Powell, Eric Bridgeford, Ali Geisa, Joshua Vogelstein",http://arxiv.org/abs/2303.17589,,https://huggingface.co/papers/2303.17589,,,,2303.17589,5,1
1144
+ Scaling Vision Transformers to 22 Billion Parameters,"Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Collier, Alexey Gritsenko, Vighnesh N Birodkar, Cristina Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah Harmsen, Neil Houlsby",http://arxiv.org/abs/2302.05442,,https://huggingface.co/papers/2302.05442,,,,2302.05442,42,1
1145
  Toward Fair and Robust Estimation of Optimal Treatment Regimes,"Kwangho Kim, Jose Zubizarreta",,,,,,,,,
1146
  Internally Rewarded Reinforcement Learning,"Mengdi Li, Xufeng Zhao, Jae Hee Lee, Cornelius Weber, Stefan Wermter",http://arxiv.org/abs/2302.00270,,https://huggingface.co/papers/2302.00270,,,,2302.00270,5,0
1147
  FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models,"Songze Li, Duanyi YAO, Jin Liu",http://arxiv.org/abs/2304.13407,,https://huggingface.co/papers/2304.13407,,,,2304.13407,3,0
 
1184
  Learning Prescriptive ReLU Networks,"Wei Sun, Asterios Tsiourvas",http://arxiv.org/abs/2306.00651,,https://huggingface.co/papers/2306.00651,,,,2306.00651,2,0
1185
  Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions,"Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Jie-Jing Shao, Yuke Xiang, Yu-Feng Li",,,,,,,,,
1186
  Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels,"Simone Bombari, Shayan Kiyani, Marco Mondelli",http://arxiv.org/abs/2302.01629,,https://huggingface.co/papers/2302.01629,,,,2302.01629,3,0
1187
+ Human-Timescale Adaptation in an Open-Ended Task Space,"Jakob Bauer, Kate Baumli, Feryal Behbahani, Avishkar Bhoopchand, Natalie Bradley-Schmieg, Michael Chang, Natalie Clay, Adrian Collister, Vibhavari Dasagi, Lucy Gonzalez, Karol Gregor, Edward Hughes, Sheleem Kashem, Maria Loks-Thompson, Hannah Openshaw, Jack Parker-Holder, Shreya Pathak, Nicolas Perez-Nieves, Nemanja Rakicevic, Tim Rocktäschel, Yannick Schroecker, Satinder Singh, Jakub Sygnowski, Karl Tuyls, Sarah York, Alexander Zacherl, Lei Zhang",http://arxiv.org/abs/2301.07608,,https://huggingface.co/papers/2301.07608,,,,2301.07608,28,1
1188
  Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Linear Speedup and Partial Participation,"Xiaoyun Li, Ping Li",,,,,,,,,
1189
  ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts,"Minghao Xu, Xinyu Yuan, Santiago Miret, Jian Tang",http://arxiv.org/abs/2301.12040,,https://huggingface.co/papers/2301.12040,,,,2301.12040,4,0
1190
  Specializing Smaller Language Models towards Multi-Step Reasoning,"Yao Fu, Hao Peng, Litu Ou, Ashish Sabharwal, Tushar Khot",http://arxiv.org/abs/2301.12726,,https://huggingface.co/papers/2301.12726,,,,2301.12726,5,1