commit files to HF hub

papers.csv

@@ -316,7 +316,7 @@ Linear optimal partial transport embedding,"Yikun Bai, Ivan Medri, Rocio Diaz Ma
 Graph Generative Model for Benchmarking Graph Neural Networks,"Minji Yoon, Yue Wu, John Palowitch, Bryan Perozzi, Ruslan Salakhutdinov",http://arxiv.org/abs/2207.04396,,https://huggingface.co/papers/2207.04396,,,,2207.04396,5,0
 Differentiable and Transportable Structure Learning,"Jeroen Berrevoets, Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar",http://arxiv.org/abs/2206.06354,,https://huggingface.co/papers/2206.06354,,,,2206.06354,4,0
 "Pricing Experimental Design: Causal Effect, Expected Revenue and Tail Risk","David Simchi-Levi, Chonghuan Wang",,,,,,,,,
-Deep Latent State Space Models for Time-Series Generation,"Linqi Zhou, Michael Poli, Winnie Xu, Stefano Massaroli, Stefano Ermon",http://arxiv.org/abs/2212.12749,,https://huggingface.co/papers/2212.12749,,,,2212.12749,5,1
+Deep Latent State Space Models for Time-Series Generation,"Linqi Zhou, Michael Poli, Winnie Xu, Stefano Massaroli, Stefano Ermon",http://arxiv.org/abs/2212.12749,,https://huggingface.co/papers/2212.12749,,,,2212.12749,5,2
 Curious Replay for Model-based Adaptation,"Isaac Kauvar, Chris Doyle, Linqi Zhou, Nick Haber",,,,,,,,,
 HOPE: High-order Graph ODE For Modeling Interacting Dynamics,"Xiao Luo, Jingyang Yuan, Zijie Huang, Huiyu Jiang, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun",,,,,,,,,
 Adversarial Classification: Necessary Conditions and Geometric Flows,"Nicolas Garcia Trillos, Ryan Murray",http://arxiv.org/abs/2011.10797,,https://huggingface.co/papers/2011.10797,,,,2011.10797,2,0
@@ -512,7 +512,7 @@ Multi-class Graph Clustering via Approximated Effective $p$-Resistance,"Shota Sa
 Last Switch Dependent Bandits with Monotone Payoff Functions,"Ayoub Foussoul, Vineet Goyal, Orestis Papadigenopoulos, Assaf Zeevi",http://arxiv.org/abs/2306.00338,,https://huggingface.co/papers/2306.00338,,,,2306.00338,4,0
 Meta-learning Parameterized Skills,"Haotian Fu, Shangqun Yu, Saket Tiwari, Michael L. Littman, George Konidaris",http://arxiv.org/abs/2206.03597,,https://huggingface.co/papers/2206.03597,,,,2206.03597,5,1
 Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks,"Feng Ji, See Hian Lee, Meng HanYang, Kai Zhao, Wee Peng Tay, Jielong Yang",http://arxiv.org/abs/2305.00139,,https://huggingface.co/papers/2305.00139,,,,2305.00139,6,0
-Tuning Computer Vision Models With Task Rewards,"André Susano Pinto, Alexander Kolesnikov, Yuge Shi, Lucas Beyer, Xiaohua Zhai",http://arxiv.org/abs/2302.08242,,https://huggingface.co/papers/2302.08242,,,,2302.08242,5,0
+Tuning Computer Vision Models With Task Rewards,"André Susano Pinto, Alexander Kolesnikov, Yuge Shi, Lucas Beyer, Xiaohua Zhai",http://arxiv.org/abs/2302.08242,,https://huggingface.co/papers/2302.08242,,,,2302.08242,5,1
 State and parameter learning with PARIS particle Gibbs,"Gabriel Cardoso, Yazid Janati el idrissi, Sylvain Le Corff, Eric Moulines, Jimmy Olsson",http://arxiv.org/abs/2301.00900,,https://huggingface.co/papers/2301.00900,,,,2301.00900,5,0
 An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning,"Jaesik Yoon, Yi-Fu Wu, Heechul Bae, Sungjin Ahn",http://arxiv.org/abs/2302.04419,,https://huggingface.co/papers/2302.04419,,,,2302.04419,4,0
 Nested Elimination: A Simple Algorithm for Best-Item Identification From Choice-Based Feedback,"Junwen Yang, Yifan Feng",,,,,,,,,
@@ -990,7 +990,7 @@ Towards Theoretical Understanding of Inverse Reinforcement Learning,"Alberto Mar
 Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond,"Jaeyoung Cha, Jaewook Lee, Chulhee Yun",http://arxiv.org/abs/2303.07160,,https://huggingface.co/papers/2303.07160,,,,2303.07160,3,0
 Delayed Feedback in Kernel Bandits,"Sattar Vakili, Danyal Ahmed, Alberto Bernacchia, Ciara Pike-Burke",http://arxiv.org/abs/2302.00392,,https://huggingface.co/papers/2302.00392,,,,2302.00392,4,0
 Sharper Bounds for $\ell_p$ Sensitivity Sampling,"David Woodruff, Taisuke Yasuda",http://arxiv.org/abs/2306.00732,,https://huggingface.co/papers/2306.00732,,,,2306.00732,2,1
-Hyena Hierarchy: Towards Larger Convolutional Language Models,"Michael Poli, Stefano Massaroli, Eric Nguyen, Daniel Y Fu, Tri Dao, Stephen Baccus, Yoshua Bengio, Stefano Ermon, Christopher Re",http://arxiv.org/abs/2302.10866,,https://huggingface.co/papers/2302.10866,,,,2302.10866,9,1
+Hyena Hierarchy: Towards Larger Convolutional Language Models,"Michael Poli, Stefano Massaroli, Eric Nguyen, Daniel Y Fu, Tri Dao, Stephen Baccus, Yoshua Bengio, Stefano Ermon, Christopher Re",http://arxiv.org/abs/2302.10866,,https://huggingface.co/papers/2302.10866,,,,2302.10866,9,2
 Delving into Noisy Label Detection with Clean Data,"Chenglin Yu, Xinsong Ma, Weiwei Liu",,,,,,,,,
 GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration,"Naoki Murata, Koichi Saito, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon",http://arxiv.org/abs/2301.12686,,https://huggingface.co/papers/2301.12686,,,,2301.12686,7,1
 Information-Theoretic State Space Model for Multi-View Reinforcement Learning,"HyeongJoo Hwang, Seokin Seo, Youngsoo Jang, Sungyoon Kim, Geon-Hyeong Kim, Seunghoon Hong, Kee-Eung Kim",,,,,,,,,
@@ -1045,7 +1045,7 @@ Retrieval-Augmented Multimodal Language Modeling,"Michihiro Yasunaga, Armen Agha
 A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback,"Guanyu Nie, Yididiya Nadew, Yanhui Zhu, Vaneet Aggarwal, Christopher J Quinn",http://arxiv.org/abs/2301.13326,,https://huggingface.co/papers/2301.13326,,,,2301.13326,5,1
 NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion,"Jiatao Gu, Alex Trevithick, Kai-En Lin, Joshua M Susskind, Christian Theobalt, Lingjie Liu, Ravi Ramamoorthi",http://arxiv.org/abs/2302.10109,,https://huggingface.co/papers/2302.10109,,,,2302.10109,7,1
 Improving Bi-level Optimization Based Methods with Inspiration from Humans' Classroom Study Techniques,Pengtao Xie,,,,,,,,,
-Learning Compiler Pass Orders using Coreset and Normalized Value Prediction,"Youwei Liang, Kevin Stone, Ali Shameli, Chris Cummins, Mostafa Elhoushi, Jiadong Guo, Benoit Steiner, Xiaomeng Yang, Pengtao Xie, Hugh Leather, Yuandong Tian",http://arxiv.org/abs/2301.05104,,https://huggingface.co/papers/2301.05104,,,,2301.05104,11,1
+Learning Compiler Pass Orders using Coreset and Normalized Value Prediction,"Youwei Liang, Kevin Stone, Ali Shameli, Chris Cummins, Mostafa Elhoushi, Jiadong Guo, Benoit Steiner, Xiaomeng Yang, Pengtao Xie, Hugh Leather, Yuandong Tian",http://arxiv.org/abs/2301.05104,,https://huggingface.co/papers/2301.05104,,,,2301.05104,11,2
 Learning useful representations for shifting tasks and distributions,"Jianyu Zhang, Leon Bottou",http://arxiv.org/abs/2212.07346,,https://huggingface.co/papers/2212.07346,,,,2212.07346,2,1
 Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization,"Alexandre Rame, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Leon Bottou, David Lopez-Paz",http://arxiv.org/abs/2212.10445,,https://huggingface.co/papers/2212.10445,,,,2212.10445,6,1
 Target-based Surrogates for Stochastic Optimization,"Jonathan Lavington, Sharan Vaswani, Reza Babanezhad, Mark Schmidt, Nicolas Le Roux",http://arxiv.org/abs/2302.02607,,https://huggingface.co/papers/2302.02607,,,,2302.02607,5,0
@@ -1141,7 +1141,7 @@ New metrics and search algorithms for weighted causal DAGs,"Davin Choo, Kirankum
 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
 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,,,,2302.09738,6,1
 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
-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
+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,,,,2302.05442,42,2
 Toward Fair and Robust Estimation of Optimal Treatment Regimes,"Kwangho Kim, Jose Zubizarreta",,,,,,,,,
 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
 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