commit files to HF hub

papers.csv

@@ -782,7 +782,7 @@ Beam Tree Recursive Cells,"Jishnu Ray Chowdhury, Cornelia Caragea",http://arxiv.
 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
 Hierarchical Clustering: A Nearly-Optimal Construction for Well-Clustered Graphs,"Steinar Laenen, Bogdan Manghiuc, He Sun",,,,,,,,,
 Parallel neurosymbolic integration with Concordia,"Jonathan Feldstein, Modestas Jurcius, Efthymia Tsamoura",http://arxiv.org/abs/2306.00480,,https://huggingface.co/papers/2306.00480,,,,2306.00480,3,0
-PFGM++: Unlocking the Potential of Physics-Inspired Generative Models,"Yilun Xu, Ziming Liu, Yonglong Tian, Shangyuan Tong, Max Tegmark, Tommi Jaakkola",http://arxiv.org/abs/2302.04265,https://github.com/Newbeeer/pfgmpp,https://huggingface.co/papers/2302.04265,,,,2302.04265,6,0
+PFGM++: Unlocking the Potential of Physics-Inspired Generative Models,"Yilun Xu, Ziming Liu, Yonglong Tian, Shangyuan Tong, Max Tegmark, Tommi Jaakkola",http://arxiv.org/abs/2302.04265,https://github.com/Newbeeer/pfgmpp,https://huggingface.co/papers/2302.04265,,,,2302.04265,6,1
 Neural Markov Jump Processes,"Patrick Seifner, Ramses J Sanchez",http://arxiv.org/abs/2305.19744,,https://huggingface.co/papers/2305.19744,,,,2305.19744,2,1
 Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling,"Tianqi Chen, Mingyuan Zhou",http://arxiv.org/abs/2305.18375,,https://huggingface.co/papers/2305.18375,,,,2305.18375,2,1
 "From Perception to Programs: Regularize, Overparameterize, and Amortize","Hao Tang, Kevin Ellis",http://arxiv.org/abs/2206.05922,,https://huggingface.co/papers/2206.05922,,,,2206.05922,2,1
@@ -1245,7 +1245,7 @@ InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Mo
 CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks,"Jue Wang, Yucheng Lu, Binhang Yuan, Beidi Chen, Percy Liang, Chris De Sa, Christopher Re, Ce Zhang",,,,,,,,,
 Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning,"Cheng Lu, Huayu Chen, Jianfei Chen, Hang Su, Chongxuan Li, Jun Zhu",http://arxiv.org/abs/2304.12824,,https://huggingface.co/papers/2304.12824,,,,2304.12824,6,0
 BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models,"Junnan Li, DONGXU LI, Silvio Savarese, Steven Hoi",https://arxiv.org/abs/2301.12597,https://github.com/salesforce/LAVIS/tree/main/projects/blip2,https://huggingface.co/papers/2301.12597,https://huggingface.co/spaces/Salesforce/BLIP2,https://huggingface.co/Salesforce/blip2-flan-t5-xxl,,2301.12597,4,1
-The Benefits of Mixup for Feature Learning,"Difan Zou, Yuan Cao, Yuanzhi Li, Quanquan Gu",http://arxiv.org/abs/2303.08433,,https://huggingface.co/papers/2303.08433,,,,2303.08433,4,0
+The Benefits of Mixup for Feature Learning,"Difan Zou, Yuan Cao, Yuanzhi Li, Quanquan Gu",http://arxiv.org/abs/2303.08433,,https://huggingface.co/papers/2303.08433,,,,2303.08433,4,1
 GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks,"Salah GHAMIZI, Jingfeng ZHANG, Maxime Cordy, Mike Papadakis, Masashi Sugiyama, YVES LE TRAON",http://arxiv.org/abs/2302.02907,,https://huggingface.co/papers/2302.02907,,,,2302.02907,6,0
 Test-time Adaptation with Slot-Centric Models,"Mihir Prabhudesai, Anirudh Goyal, Sujoy Paul, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gaurav Aggarwal, Thomas Kipf, Deepak Pathak, Katerina Fragkiadaki",http://arxiv.org/abs/2203.11194,,https://huggingface.co/papers/2203.11194,,,,2203.11194,9,2
 Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification,"Dong Xing, Pengjie Gu, Qian Zheng, Xinrun Wang, Shanqi Liu, Longtao Zheng, Bo An, Gang Pan",,,,,,,,,
@@ -1520,7 +1520,7 @@ Multi-Layer Neural Networks as Trainable Ladders of Hilbert Spaces,Zhengdao Chen
 Gradient Descent Finds the Global Optima of Two-Layer Physics-Informed Neural Networks,"Yihang Gao, Yiqi Gu, Michael Ng",,,,,,,,,
 Sampling-based Nyström Approximation and Kernel Quadrature,"Satoshi Hayakawa, Harald Oberhauser, Terry Lyons",,,,,,,,,
 Sample Complexity of Probability Divergences under Group Symmetry,"Ziyu Chen, Markos Katsoulakis, Luc Rey-Bellet, Wei Zhu",http://arxiv.org/abs/2302.01915,,https://huggingface.co/papers/2302.01915,,,,2302.01915,4,0
-Personalized Federated Learning under Mixture of Distributions,"Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng",http://arxiv.org/abs/2305.01068,,https://huggingface.co/papers/2305.01068,,,,2305.01068,8,1
+Personalized Federated Learning under Mixture of Distributions,"Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng",http://arxiv.org/abs/2305.01068,,https://huggingface.co/papers/2305.01068,,,,2305.01068,8,2
 DIVISION: Memory Efficient Training via Dual Activation Precision,"Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Hu",http://arxiv.org/abs/2208.04187,,https://huggingface.co/papers/2208.04187,,,,2208.04187,6,0
 Fair yet Asymptotically Equal Collaborative Learning,"Xiaoqiang Lin, Xinyi Xu, See-Kiong Ng, Chuan-Sheng Foo, Bryan Kian Hsiang Low",http://arxiv.org/abs/2306.05764,,https://huggingface.co/papers/2306.05764,,,,2306.05764,5,0
 FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization,"Hao Zhang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong",,,,,,,,,
@@ -1580,7 +1580,7 @@ Improving Adversarial Robustness by Putting More Regularizations on Less Robust
 Understanding Gradient Regularization in Deep Learning: Efficient Finite-Difference Computation and Implicit Bias,"Ryo Karakida, Tomoumi Takase, Tomohiro Hayase, Kazuki Osawa",http://arxiv.org/abs/2210.02720,,https://huggingface.co/papers/2210.02720,,,,2210.02720,4,0
 Gradient Descent Converges Linearly for Logistic Regression on Separable Data,"Kyriakos Axiotis, Maxim Sviridenko",,,,,,,,,
 Federated Adversarial Learning: A Framework with Convergence Analysis,"Xiaoxiao Li, Zhao Song, Jiaming Yang",http://arxiv.org/abs/2208.03635,,https://huggingface.co/papers/2208.03635,,,,2208.03635,3,0
-Optimal Horizon-Free Reward-Free Exploration for Linear Mixture MDPs,"Junkai Zhang, Weitong Zhang, Quanquan Gu",http://arxiv.org/abs/2303.10165,,https://huggingface.co/papers/2303.10165,,,,2303.10165,3,0
+Optimal Horizon-Free Reward-Free Exploration for Linear Mixture MDPs,"Junkai Zhang, Weitong Zhang, Quanquan Gu",http://arxiv.org/abs/2303.10165,,https://huggingface.co/papers/2303.10165,,,,2303.10165,3,1
 Policy Regularization with Dataset Constraint for Offline Reinforcement Learning,"Yuhang Ran, Yi-Chen Li, Fuxiang Zhang, Zongzhang Zhang, Yang Yu",http://arxiv.org/abs/2306.06569,https://github.com/LAMDA-RL/PRDC,https://huggingface.co/papers/2306.06569,,,,2306.06569,5,0
 Beyond Reward: Offline Preference-guided Policy Optimization,"Yachen Kang, Diyuan Shi, Jinxin Liu, Li He, Donglin Wang",http://arxiv.org/abs/2305.16217,,https://huggingface.co/papers/2305.16217,,,,2305.16217,5,0
 Solving Linear Program with Fast Online Learning Algorithms,"Wenzhi Gao, Dongdong Ge, Chunlin Sun, Yinyu Ye",,,,,,,,,
@@ -1617,7 +1617,7 @@ Online Learning with Feedback Graphs: The True Shape of Regret,"Tomáš Kocák,
 A Scalable Frank-Wolfe-Based Algorithm for the Max-Cut SDP,"Chi Bach Pham, Wynita Griggs, James Saunderson",,,,,,,,,
 Contextual Combinatorial Bandits with Probabilistically Triggered Arms,"Xutong Liu, Jinhang Zuo, Siwei Wang, John C.S. Lui, Mohammad Hajiesmaili, Adam Wierman, Wei Chen",http://arxiv.org/abs/2303.17110,,https://huggingface.co/papers/2303.17110,,,,2303.17110,7,0
 CRISP: Curriculum based Sequential neural decoders for Polar code family,"S Ashwin Hebbar, Viraj Nadkarni, Ashok Vardhan Makkuva, Suma Bhat, Sewoong Oh, Pramod Viswanath",http://arxiv.org/abs/2210.00313,,https://huggingface.co/papers/2210.00313,,,,2210.00313,6,1
-On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits,"Weitong Zhang, Jiafan He, Jiafan He, Zhiyuan Fan, Quanquan Gu",http://arxiv.org/abs/2303.09390,,https://huggingface.co/papers/2303.09390,,,,2303.09390,4,0
+On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits,"Weitong Zhang, Jiafan He, Jiafan He, Zhiyuan Fan, Quanquan Gu",http://arxiv.org/abs/2303.09390,,https://huggingface.co/papers/2303.09390,,,,2303.09390,4,1
 Brainformers: Trading Simplicity for Efficiency,"Yanqi Zhou, Nan Du, Yanping Huang, Daiyi Peng, Chang Lan, Da Huang, Siamak Shakeri, David So, Andrew Dai, Yifeng Lu, Zhifeng Chen, Quoc Le, Claire Cui, James Laudon, Jeff Dean",http://arxiv.org/abs/2306.00008,,https://huggingface.co/papers/2306.00008,,,,2306.00008,15,3
 On the Training Instability of Shuffling SGD with Batch Normalization,"David X. Wu, Chulhee Yun, Suvrit Sra",http://arxiv.org/abs/2302.12444,,https://huggingface.co/papers/2302.12444,,,,2302.12444,3,0
 Dropout Reduces Underfitting,"Zhuang Liu, Zhiqiu (Oscar) Xu, Joseph Jin, Zhiqiang Shen, Trevor Darrell",http://arxiv.org/abs/2303.01500,https://github.com/facebookresearch/dropout,https://huggingface.co/papers/2303.01500,,,,2303.01500,5,0