commit files to HF hub

papers.csv

@@ -776,7 +776,7 @@ abess: A Fast Best-Subset Selection Library in Python and R,"Jin Zhu, Xueqin Wan
 SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process,"Zichong Li, Yanbo Xu, Simiao Zuo, Haoming Jiang, Chao Zhang, Tuo Zhao, Hongyuan Zha",,,,,,,,,
 User-level Private Stochastic Convex Optimization with Optimal Rates,"Raef Bassily, Ziteng Sun",,,,,,,,,
 Improved Online Learning Algorithms for CTR Prediction in Ad Auctions,"Zhe Feng, Christopher Liaw, Zixin Zhou",,,,,,,,,
-Memory-Based Meta-Learning on Non-Stationary Distributions,"Tim Genewein, Gregoire Deletang, Anian Ruoss, Li Kevin Wenliang, Elliot Catt, Vincent Dutordoir, Jordi Grau-Moya, Laurent Orseau, Marcus Hutter, Joel Veness",http://arxiv.org/abs/2302.03067,,https://huggingface.co/papers/2302.03067,,,,2302.03067,10,0
+Memory-Based Meta-Learning on Non-Stationary Distributions,"Tim Genewein, Gregoire Deletang, Anian Ruoss, Li Kevin Wenliang, Elliot Catt, Vincent Dutordoir, Jordi Grau-Moya, Laurent Orseau, Marcus Hutter, Joel Veness",http://arxiv.org/abs/2302.03067,,https://huggingface.co/papers/2302.03067,,,,2302.03067,10,1
 Revisiting Sampling for Combinatorial Optimization,"Haoran Sun, Katayoon Goshvadi, Azade Nova, Dale Schuurmans, Hanjun Dai",,,,,,,,,
 Beam Tree Recursive Cells,"Jishnu Ray Chowdhury, Cornelia Caragea",http://arxiv.org/abs/2305.19999,https://github.com/JRC1995/BeamTreeRecursiveCells,https://huggingface.co/papers/2305.19999,,,,2305.19999,2,1
 Posterior Sampling for Deep Reinforcement Learning,"Remo Sasso, Michelangelo Conserva, Paulo Rauber",http://arxiv.org/abs/2305.00477,,https://huggingface.co/papers/2305.00477,,,,2305.00477,3,0
@@ -818,7 +818,7 @@ One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill,"Sangwo
 Model-based Offline Reinforcement Learning with Count-based Conservatism,"Byeongchan Kim, Min-hwan Oh",,,,,,,,,
 Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation,"Luca Pesce, FLORENT KRZAKALA, Bruno Loureiro, Ludovic Stephan",,,,,,,,,
 Algorithms for bounding contribution for histogram estimation under user-level privacy,"Yuhan Liu, Ananda Suresh, Wennan Zhu, Peter Kairouz, Marco Gruteser",,,,,,,,,
-On Pitfalls of Test-Time Adaptation,"Hao Zhao, Hao Zhao, Yuejiang Liu, Alexandre Alahi, Tao Lin",http://arxiv.org/abs/2306.03536,https://github.com/lins-lab/ttab,https://huggingface.co/papers/2306.03536,,,,2306.03536,4,0
+On Pitfalls of Test-Time Adaptation,"Hao Zhao, Hao Zhao, Yuejiang Liu, Alexandre Alahi, Tao Lin",http://arxiv.org/abs/2306.03536,https://github.com/lins-lab/ttab,https://huggingface.co/papers/2306.03536,,,,2306.03536,4,1
 Generalized Implicit Follow-The-Regularized-Leader,"Keyi Chen, Francesco Orabona",http://arxiv.org/abs/2306.00201,,https://huggingface.co/papers/2306.00201,,,,2306.00201,2,0
 Simplified Temporal Consistency Reinforcement Learning,"Yi Zhao, Wenshuai Zhao, Rinu Boney, Kannala Juho, Joni Pajarinen",http://arxiv.org/abs/2306.09466,,https://huggingface.co/papers/2306.09466,,,,2306.09466,5,0
 "Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data","Minshuo Chen, Kaixuan Huang, Tuo Zhao, Mengdi Wang",http://arxiv.org/abs/2302.07194,,https://huggingface.co/papers/2302.07194,,,,2302.07194,4,0