Update

papers.csv

@@ -116,7 +116,7 @@ On the Correctness of Automatic Differentiation for Neural Networks with Machine
 FeDXL: Provable Federated Learning for Deep X-Risk Optimization,"Zhishuai Guo, Rong Jin, Jiebo Luo, Tianbao Yang",,,,,,,,,
 Causal Proxy Models for Concept-based Model Explanations,"Zhengxuan Wu, Karel D'Oosterlinck, Atticus Geiger, Amir Zur, Christopher Potts",http://arxiv.org/abs/2209.14279,https://github.com/frankaging/Causal-Proxy-Model,https://huggingface.co/papers/2209.14279,,,,2209.14279,5,4
 Grounding Language Models to Images for Multimodal Inputs and Outputs,"Jing Yu Koh, Ruslan Salakhutdinov, Daniel Fried",http://arxiv.org/abs/2301.13823,,https://huggingface.co/papers/2301.13823,,,,2301.13823,3,1
-Improved Online Conformal Prediction via Strongly Adaptive Online Learning,"Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Yu Bai",http://arxiv.org/abs/2302.07869,,https://huggingface.co/papers/2302.07869,,,,2302.07869,4,0
+Improved Online Conformal Prediction via Strongly Adaptive Online Learning,"Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Yu Bai",http://arxiv.org/abs/2302.07869,,https://huggingface.co/papers/2302.07869,,,,2302.07869,4,1
 A Gromov--Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening,"Yifan Chen, Rentian Yao, Yun Yang, Jie Chen",http://arxiv.org/abs/2306.08854,https://github.com/ychen-stat-ml/GW-Graph-Coarsening,https://huggingface.co/papers/2306.08854,,,,2306.08854,4,0
 Approximately Optimal Core Shapes for Tensor Decompositions,"Mehrdad Ghadiri, Matthew Fahrbach, Thomas Fu, Vahab Mirrokni",http://arxiv.org/abs/2302.03886,,https://huggingface.co/papers/2302.03886,,,,2302.03886,4,1
 Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting,"Hilaf Hasson, Danielle Robinson, Yuyang Wang, Gaurav Gupta, Youngsuk Park",http://arxiv.org/abs/2305.15786,,https://huggingface.co/papers/2305.15786,,,,2305.15786,5,1
@@ -135,17 +135,17 @@ Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals,"Cl
 VA-learning as a more efficient alternative to Q-learning,"Yunhao Tang, Remi Munos, Mark Rowland, Michal Valko",,,,,,,,,
 Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models,"Rui Li, ST John, Arno Solin",http://arxiv.org/abs/2306.04201,,https://huggingface.co/papers/2306.04201,,,,2306.04201,3,1
 HarsanyiNet: Computing Accurate Shapley Values in a Single Forward Propagation,"Lu Chen, Siyu Lou, Keyan Zhang, JIN HUANG, Quanshi Zhang",http://arxiv.org/abs/2304.01811,,https://huggingface.co/papers/2304.01811,,,,2304.01811,5,0
-Invariance in Policy Optimisation and Partial Identifiability in Reward Learning,"Joar Skalse, Matthew Farrugia-Roberts, Stuart Russell, Alessandro Abate, Adam Gleave",http://arxiv.org/abs/2203.07475,,https://huggingface.co/papers/2203.07475,,,,2203.07475,5,1
+Invariance in Policy Optimisation and Partial Identifiability in Reward Learning,"Joar Skalse, Matthew Farrugia-Roberts, Stuart Russell, Alessandro Abate, Adam Gleave",http://arxiv.org/abs/2203.07475,,https://huggingface.co/papers/2203.07475,,,,2203.07475,5,2
 On the Convergence Rate of Gaussianization with Random Rotations,"Felix Draxler, Lars Kühmichel, Jens Müller, Armand Rousselot, Christoph Schnörr, Ullrich Koethe",,,,,,,,,
 Nonparametric Iterative Machine Teaching,"CHEN ZHANG, Xiaofeng Cao, Weiyang Liu, Ivor Tsang, James Kwok",http://arxiv.org/abs/2306.03007,,https://huggingface.co/papers/2306.03007,,,,2306.03007,5,1
 Boosting Graph Contrastive Learning via Graph Contrastive Saliency,"Chunyu Wei, Yu Wang, Bing Bai, Kai Ni, David Brady, LU FANG",,,,,,,,,
 Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels,"Fabian Altekrüger, Johannes Hertrich, Gabriele Steidl",,,,,,,,,
 Improving Expert Predictions with Conformal Prediction,"Eleni Straitouri, Luke Lequn Wang, Nastaran Okati, Manuel Gomez-Rodriguez",,,,,,,,,
-Graph Switching Dynamical Systems,"Yongtuo Liu, Sara Magliacane, Miltiadis (Miltos) Kofinas, Efstratios Gavves",http://arxiv.org/abs/2306.00370,,https://huggingface.co/papers/2306.00370,,,,2306.00370,4,0
+Graph Switching Dynamical Systems,"Yongtuo Liu, Sara Magliacane, Miltiadis (Miltos) Kofinas, Efstratios Gavves",http://arxiv.org/abs/2306.00370,,https://huggingface.co/papers/2306.00370,,,,2306.00370,4,1
 Achieving High Accuracy with PINNs via Energy Natural Gradient Descent,"Marius Zeinhofer, Johannes Müller",,,,,,,,,
 On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation,"Zhanke Zhou, Chenyu Zhou, Xuan Li, Jiangchao Yao, QUANMING YAO, Bo Han",http://arxiv.org/abs/2306.09104,https://github.com/tmlr-group/MC-GRA,https://huggingface.co/papers/2306.09104,,,,2306.09104,6,0
 "Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization","Jianhao Ma, Salar Fattahi",http://arxiv.org/abs/2202.08788,,https://huggingface.co/papers/2202.08788,,,,2202.08788,2,0
-Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN,"Siyuan Li, Di Wu, Fang Wu, Zelin Zang, Stan Z Li",http://arxiv.org/abs/2205.13943,,https://huggingface.co/papers/2205.13943,,,,2205.13943,5,0
+Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN,"Siyuan Li, Di Wu, Fang Wu, Zelin Zang, Stan Z Li",http://arxiv.org/abs/2205.13943,,https://huggingface.co/papers/2205.13943,,,,2205.13943,5,1
 Doubly Adversarial Federated Bandits,"Jialin Yi, Milan Vojnovic",http://arxiv.org/abs/2301.09223,,https://huggingface.co/papers/2301.09223,,,,2301.09223,2,1
 LipsNet: A Smooth and Robust Neural Network with Adaptive Lipschitz Constant for High Accuracy Optimal Control,"Xujie Song, Jingliang Duan, Wenxuan Wang, Shengbo Li, Chen Chen, Bo Cheng, Bo Zhang, Junqing Wei, Xiaoming (Simon) Wang",,,,,,,,,
 A Connection between One-Step Regularization and Critic Regularization in Reinforcement Learning,"Benjamin Eysenbach, Matthieu Geist, Ruslan Salakhutdinov, Sergey Levine",,,,,,,,,
@@ -153,7 +153,7 @@ WL meet VC,"Christopher Morris, Floris Geerts, Jan M Tönshoff, Martin Grohe",ht
 Differential Privacy has Bounded Impact on Fairness in Classification,"Paul Mangold, Michaël Perrot, Aurélien Bellet, Marc Tommasi",http://arxiv.org/abs/2210.16242,,https://huggingface.co/papers/2210.16242,,,,2210.16242,4,0
 Differentiable Multi-Target Causal Bayesian Experimental Design,"Panagiotis Tigas, Yashas Annadani, Desi Ivanova, Andrew Jesson, Yarin Gal, Adam Foster, Stefan Bauer",http://arxiv.org/abs/2302.10607,,https://huggingface.co/papers/2302.10607,,,,2302.10607,7,0
 Learning the Dynamics of Sparsely Observed Interacting Systems,"Linus Bleistein, Adeline Fermanian, Anne-Sophie Jannot, Agathe Guilloux",http://arxiv.org/abs/2301.11647,,https://huggingface.co/papers/2301.11647,,,,2301.11647,4,0
-How Jellyfish Characterise Alternating Group Equivariant Neural Networks,Edward Pearce-Crump,http://arxiv.org/abs/2301.10152,,https://huggingface.co/papers/2301.10152,,,,2301.10152,1,0
+How Jellyfish Characterise Alternating Group Equivariant Neural Networks,Edward Pearce-Crump,http://arxiv.org/abs/2301.10152,,https://huggingface.co/papers/2301.10152,,,,2301.10152,1,1
 On the Occupancy Measure of Non-Markovian Policies in Continuous MDPs,"Romain Laroche, Remi Tachet des Combes",,,,,,,,,
 Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings,"Masatoshi Uehara, Ayush Sekhari, Jason Lee, Nathan Kallus, Wen Sun",http://arxiv.org/abs/2206.12081,,https://huggingface.co/papers/2206.12081,,,,2206.12081,5,0
 Uncovering Adversarial Risks of Test-Time Adaptation,"Tong Wu, Feiran Jia, Xiangyu Qi, Jiachen Wang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal",http://arxiv.org/abs/2301.12576,,https://huggingface.co/papers/2301.12576,,,,2301.12576,7,4
@@ -167,7 +167,7 @@ Learning in POMDPs is Sample-Efficient with Hindsight Observability,"Jonathan Le
 Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation,"Hayata Yamasaki, Sathyawageeswar Subramanian, Satoshi Hayakawa, Sho Sonoda",http://arxiv.org/abs/2301.11936,,https://huggingface.co/papers/2301.11936,,,,2301.11936,4,0
 MixFlows: principled variational inference via mixed flows,"Zuheng Xu, Naitong Chen, Trevor Campbell",http://arxiv.org/abs/2205.07475,,https://huggingface.co/papers/2205.07475,,,,2205.07475,3,0
 Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems,"Chawin Sitawarin, Florian Tramer, Nicholas Carlini",http://arxiv.org/abs/2210.03297,https://github.com/google-research/preprocessor-aware-black-box-attack,https://huggingface.co/papers/2210.03297,,,,2210.03297,3,2
-Efficient Sequence Transduction by Jointly Predicting Tokens and Durations,"Hainan Xu, Fei Jia, Somshubra Majumdar, He Huang, Shinji Watanabe, Boris Ginsburg",http://arxiv.org/abs/2304.06795,https://github.com/NVIDIA/NeMo,https://huggingface.co/papers/2304.06795,,,,2304.06795,6,0
+Efficient Sequence Transduction by Jointly Predicting Tokens and Durations,"Hainan Xu, Fei Jia, Somshubra Majumdar, He Huang, Shinji Watanabe, Boris Ginsburg",http://arxiv.org/abs/2304.06795,https://github.com/NVIDIA/NeMo,https://huggingface.co/papers/2304.06795,,,,2304.06795,6,1
 Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and Solutions,"Alicia Curth, Alihan Hüyük, Mihaela van der Schaar",http://arxiv.org/abs/2208.05844,,https://huggingface.co/papers/2208.05844,,,,2208.05844,3,0
 Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication,"Ajay Jaiswal, Shiwei Liu, Tianlong Chen,  Ding, Zhangyang “Atlas” Wang",,,,,,,,,
 A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification,"Jiachen Sun, Jiongxiao Wang, Weili Nie, Zhiding Yu, Zhuoqing Morley Mao, Chaowei Xiao",,,,,,,,,
@@ -187,7 +187,7 @@ Sharp Variance-Dependent Bounds in Reinforcement Learning: Best of Both Worlds i
 A Generalization of ViT/MLP-Mixer to Graphs,"Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson",http://arxiv.org/abs/2212.13350,https://github.com/XiaoxinHe/Graph-ViT-MLPMixer,https://huggingface.co/papers/2212.13350,,,,2212.13350,6,0
 Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing,"Jiaxiang Ren, Jiayin Jin, Yang Zhou, Lingjuan Lyu, Da Yan",,,,,,,,,
 One-Shot Federated Conformal Prediction,"Pierre Humbert, Batiste Le Bars, Aurélien Bellet, Sylvain Arlot",http://arxiv.org/abs/2302.06322,,https://huggingface.co/papers/2302.06322,,,,2302.06322,4,0
-A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks,"David Boetius, Stefan Leue, Tobias Sutter",http://arxiv.org/abs/2301.11342,,https://huggingface.co/papers/2301.11342,,,,2301.11342,3,0
+A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks,"David Boetius, Stefan Leue, Tobias Sutter",http://arxiv.org/abs/2301.11342,,https://huggingface.co/papers/2301.11342,,,,2301.11342,3,1
 EM-Network: Oracle Guided Self-distillation for Sequence Learning,"Ji Won Yoon, Sung Hwan Ahn, Hyeonseung Lee, Minchan Kim, Seok Min Kim, Nam Soo Kim",,,,,,,,,
 Refined Regret for Adversarial MDPs with Linear Function Approximation,"Yan Dai, Haipeng Luo, Chen-Yu Wei, Julian Zimmert",http://arxiv.org/abs/2301.12942,,https://huggingface.co/papers/2301.12942,,,,2301.12942,4,0
 Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech Representations,"Weiwei Lin, Chenhang He, Man-Wai Mak, Youzhi Tu",http://arxiv.org/abs/2305.08099,,https://huggingface.co/papers/2305.08099,,,,2305.08099,4,0
@@ -218,14 +218,14 @@ Aligning Language Models with Preferences through $f$-divergence Minimization,"D
 Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning,"Hongzuo Xu, Yijie Wang, JuHui Wei, Songlei Jian, Yizhou Li, Ning Liu",http://arxiv.org/abs/2305.16114,,https://huggingface.co/papers/2305.16114,,,,2305.16114,6,0
 Margin-based Neural Network Watermarking,"Byungjoo Kim, Suyoung Lee, Seanie Lee,  Son, Sung Ju Hwang",,,,,,,,,
 Graph Neural Tangent Kernel: Convergence on Large Graphs,"Sanjukta Krishnagopal, Luana Ruiz",http://arxiv.org/abs/2301.10808,,https://huggingface.co/papers/2301.10808,,,,2301.10808,2,0
-TabDDPM: Modelling Tabular Data with Diffusion Models,"Akim Kotelnikov, Dmitry Baranchuk, Ivan Rubachev, Artem Babenko",http://arxiv.org/abs/2209.15421,,https://huggingface.co/papers/2209.15421,,,,2209.15421,4,0
+TabDDPM: Modelling Tabular Data with Diffusion Models,"Akim Kotelnikov, Dmitry Baranchuk, Ivan Rubachev, Artem Babenko",http://arxiv.org/abs/2209.15421,,https://huggingface.co/papers/2209.15421,,,,2209.15421,4,2
 Trustworthy Policy Learning under the Counterfactual No-Harm Criterion,"Haoxuan Li, Chunyuan Zheng, Yixiao Cao, zhi geng, Yue Liu, Peng Wu",,,,,,,,,
 Projected Tensor Power Method for Hypergraph Community Recovery,"Jinxin Wang, Yuen-Man Pun, Xiaolu Wang, Peng Wang, Anthony Man-Cho So",,,,,,,,,
 Towards Understanding the Generalization of Graph Neural Networks,"Huayi Tang, Yong Liu",http://arxiv.org/abs/2305.08048,,https://huggingface.co/papers/2305.08048,,,,2305.08048,2,0
-Unlocking Slot Attention by Changing Optimal Transport Costs,"Yan Zhang, David Zhang, Simon Lacoste-Julien, Gertjan Burghouts, Cees Snoek",http://arxiv.org/abs/2301.13197,,https://huggingface.co/papers/2301.13197,,,,2301.13197,5,0
-Cell-Free Latent Go-Explore,"Quentin Gallouédec, Emmanuel Dellandrea",http://arxiv.org/abs/2208.14928,https://github.com/qgallouedec/lge,https://huggingface.co/papers/2208.14928,,,,2208.14928,2,0
+Unlocking Slot Attention by Changing Optimal Transport Costs,"Yan Zhang, David Zhang, Simon Lacoste-Julien, Gertjan Burghouts, Cees Snoek",http://arxiv.org/abs/2301.13197,,https://huggingface.co/papers/2301.13197,,,,2301.13197,5,2
+Cell-Free Latent Go-Explore,"Quentin Gallouédec, Emmanuel Dellandrea",http://arxiv.org/abs/2208.14928,https://github.com/qgallouedec/lge,https://huggingface.co/papers/2208.14928,,,,2208.14928,2,1
 Minimalistic Predictions to Schedule Jobs with Online Precedence Constraints,"Alexandra Lassota, Alexander Lindermayr, Nicole Megow, Jens Schlöter",http://arxiv.org/abs/2301.12863,,https://huggingface.co/papers/2301.12863,,,,2301.12863,4,0
-Temporal Label Smoothing for Early Event Prediction,"Hugo Yèche, Alizée Pace, Gunnar Ratsch, Rita Kuznetsova",http://arxiv.org/abs/2208.13764,,https://huggingface.co/papers/2208.13764,,,,2208.13764,4,0
+Temporal Label Smoothing for Early Event Prediction,"Hugo Yèche, Alizée Pace, Gunnar Ratsch, Rita Kuznetsova",http://arxiv.org/abs/2208.13764,,https://huggingface.co/papers/2208.13764,,,,2208.13764,4,1
 Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits,"Zongqi Wan, Jialin Zhang, Wei Chen, Xiaoming Sun, Zhijie Zhang",http://arxiv.org/abs/2305.12402,,https://huggingface.co/papers/2305.12402,,,,2305.12402,5,0
 VectorMapNet: End-to-end Vectorized HD Map Learning,"yicheng Liu, Tianyuan Yuan, Yue Wang, Yilun Wang, Hang Zhao",http://arxiv.org/abs/2206.08920,,https://huggingface.co/papers/2206.08920,,,,2206.08920,5,0
 Relevant Walk Search for Explaining Graph Neural Networks,"Ping Xiong, Thomas Schnake, Michael Gastegger, Grégoire Montavon, Klaus-robert Mueller, Shinichi Nakajima",,,,,,,,,
@@ -234,29 +234,29 @@ Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search w
 Understanding and Defending Patched-based Adversarial Attacks for Vision Transformer,"Liang Liu, Yanan Guo, Youtao Zhang, Jun Yang",,,,,,,,,
 On the Generalization of Multi-modal Contrastive Learning,"Qi Zhang, Yifei Wang, Yisen Wang",http://arxiv.org/abs/2306.04272,https://github.com/PKU-ML/CLIP-Help-SimCLR,https://huggingface.co/papers/2306.04272,,,,2306.04272,3,0
 DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning,"Tomoya Murata, Taiji Suzuki",http://arxiv.org/abs/2302.03884,,https://huggingface.co/papers/2302.03884,,,,2302.03884,2,0
-On the Robustness of Text Vectorizers,"Rémi Catellier, Samuel Vaiter, Damien Garreau",http://arxiv.org/abs/2303.07203,,https://huggingface.co/papers/2303.07203,,,,2303.07203,3,0
-XTab: Cross-table Pretraining for Tabular Transformers,"Bingzhao Zhu, Xingjian Shi, Nick Erickson, Mu Li, George Karypis, Mahsa Shoaran",http://arxiv.org/abs/2305.06090,,https://huggingface.co/papers/2305.06090,,,,2305.06090,6,0
+On the Robustness of Text Vectorizers,"Rémi Catellier, Samuel Vaiter, Damien Garreau",http://arxiv.org/abs/2303.07203,,https://huggingface.co/papers/2303.07203,,,,2303.07203,3,1
+XTab: Cross-table Pretraining for Tabular Transformers,"Bingzhao Zhu, Xingjian Shi, Nick Erickson, Mu Li, George Karypis, Mahsa Shoaran",http://arxiv.org/abs/2305.06090,,https://huggingface.co/papers/2305.06090,,,,2305.06090,6,1
 FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning,"Congyu Qiao, Ning Xu, JIAQI LYU, yi ren, Xin Geng",,,,,,,,,
 Explainable Data-Driven Optimization: From Context to Decision and Back Again,"Alexandre Forel, Axel Parmentier, Thibaut Vidal",http://arxiv.org/abs/2301.10074,,https://huggingface.co/papers/2301.10074,,,,2301.10074,3,0
 Robust Weak Supervision with Variational Auto-Encoders,"Francesco Tonolini, Nikolaos Aletras, Yunlong Jiao, Gabriella Kazai",,,,,,,,,
 Weakly Supervised Disentangled Generative Causal Representation Learning,"Xinwei Shen, Furui Liu, Hanze Dong, Qing Lian, Zhitang Chen, Tong Zhang",http://arxiv.org/abs/2010.02637,,https://huggingface.co/papers/2010.02637,,,,2010.02637,6,0
 Are Diffusion Models Vulnerable to Membership Inference Attacks?,"Jinhao Duan, Fei Kong, Shiqi Wang, Xiaoshuang Shi, Kaidi Xu",http://arxiv.org/abs/2302.01316,https://github.com/jinhaoduan/SecMI,https://huggingface.co/papers/2302.01316,,,,2302.01316,5,0
 Parameter-Level Soft-Masking for Continual Learning,"Tatsuya Konishi, Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu",,,,,,,,,
-ILLUME: Rationalizing Vision-Language Models through Human Interactions,"Manuel Brack, Patrick Schramowski, Björn Deiseroth, Kristian Kersting",http://arxiv.org/abs/2208.08241,,https://huggingface.co/papers/2208.08241,,,,2208.08241,4,0
-MultiRobustBench: Benchmarking Robustness Against Multiple Attacks,"Sihui Dai, Saeed Mahloujifar, Chong Xiang, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal",http://arxiv.org/abs/2302.10980,,https://huggingface.co/papers/2302.10980,,,,2302.10980,6,0
+ILLUME: Rationalizing Vision-Language Models through Human Interactions,"Manuel Brack, Patrick Schramowski, Björn Deiseroth, Kristian Kersting",http://arxiv.org/abs/2208.08241,,https://huggingface.co/papers/2208.08241,,,,2208.08241,4,2
+MultiRobustBench: Benchmarking Robustness Against Multiple Attacks,"Sihui Dai, Saeed Mahloujifar, Chong Xiang, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal",http://arxiv.org/abs/2302.10980,,https://huggingface.co/papers/2302.10980,,,,2302.10980,6,2
 Sequential Kernelized Independence Testing,"Aleksandr Podkopaev, Patrick Bloebaum, Shiva Kasiviswanathan, Aaditya Ramdas",http://arxiv.org/abs/2212.07383,,https://huggingface.co/papers/2212.07383,,,,2212.07383,4,0
 Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation,"Orin Levy, Alon Cohen, Asaf Cassel, Yishay Mansour",http://arxiv.org/abs/2303.01464,,https://huggingface.co/papers/2303.01464,,,,2303.01464,4,0
 Spurious Valleys and Clustering Behavior of Neural Networks,Samuele Pollaci,,,,,,,,,
 "Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality","Guy Ohayon, Theo Adrai, Michael Elad, Tomer Michaeli",http://arxiv.org/abs/2211.08944,,https://huggingface.co/papers/2211.08944,,,,2211.08944,4,0
 Implicit Graph Neural Networks: A Monotone Operator Viewpoint,"Justin Baker, Qingsong Wang, Cory Hauck, Bao Wang",,,,,,,,,
 $\pi$-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation,"CHENGYUE WU, Teng Wang, Yixiao Ge, Zeyu Lu, Ruisong Zhou, Ying Shan, Ping Luo",,,,,,,,,
-Revisiting Bellman Errors for Offline Model Selection,"Joshua Zitovsky, Daniel de Marchi, Rishabh Agarwal, Michael Kosorok",http://arxiv.org/abs/2302.00141,,https://huggingface.co/papers/2302.00141,,,,2302.00141,4,0
+Revisiting Bellman Errors for Offline Model Selection,"Joshua Zitovsky, Daniel de Marchi, Rishabh Agarwal, Michael Kosorok",http://arxiv.org/abs/2302.00141,,https://huggingface.co/papers/2302.00141,,,,2302.00141,4,1
 The Numerical Stability of Hyperbolic Representation Learning,"Gal Mishne, Zhengchao Wan, Yusu Wang, Sheng Yang",http://arxiv.org/abs/2211.00181,,https://huggingface.co/papers/2211.00181,,,,2211.00181,4,0
 Fully-Adaptive Composition in Differential Privacy,"Justin Whitehouse, Aaditya Ramdas, Ryan Rogers, Steven Wu",,,,,,,,,
 Revisiting Pseudo-Label for Single-Positive Multi-Label Learning,"biao liu, Ning Xu, JIAQI LYU, Xin Geng",,,,,,,,,
 "Generating Novel, Designable, and Diverse Protein Structures by Equivariantly Diffusing Oriented Residue Clouds","Yeqing Lin, Mohammed AlQuraishi",http://arxiv.org/abs/2301.12485,https://github.com/aqlaboratory/genie,https://huggingface.co/papers/2301.12485,,,,2301.12485,2,1
 Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills,"Seongun Kim, Kyowoon Lee, Jaesik Choi",,,,,,,,,
-SinFusion: Training Diffusion Models on a Single Image or Video,"Yaniv Nikankin, Niv Haim, Michal Irani",http://arxiv.org/abs/2211.11743,,https://huggingface.co/papers/2211.11743,,,,2211.11743,3,0
+SinFusion: Training Diffusion Models on a Single Image or Video,"Yaniv Nikankin, Niv Haim, Michal Irani",http://arxiv.org/abs/2211.11743,,https://huggingface.co/papers/2211.11743,,,,2211.11743,3,1
 Sequential Predictive Conformal Inference for Time Series,"Chen Xu, Yao Xie",http://arxiv.org/abs/2212.03463,,https://huggingface.co/papers/2212.03463,,,,2212.03463,2,0
 Is Consensus Acceleration Possible in Decentralized Optimization over Slowly Time-Varying Networks?,"Dmitry Metelev, Alexander Rogozin, Dmitry Kovalev, Alexander Gasnikov",http://arxiv.org/abs/2301.11817,,https://huggingface.co/papers/2301.11817,,,,2301.11817,4,0
 Understanding the Complexity Gains of Single-Task RL with a Curriculum,"Qiyang Li, Yuexiang Zhai, Yi Ma, Sergey Levine",http://arxiv.org/abs/2212.12809,,https://huggingface.co/papers/2212.12809,,,,2212.12809,4,0
@@ -266,7 +266,7 @@ Concurrent Shuffle Differential Privacy Under Continual Observation,"Jay Tenenba
 Statistical Learning under Heterogenous Distribution Shift,"Max Simchowitz, Anurag Ajay, Pulkit Agrawal, Akshay Krishnamurthy",http://arxiv.org/abs/2302.13934,,https://huggingface.co/papers/2302.13934,,,,2302.13934,4,1
 The Power of Learned Locally Linear Models for Nonlinear Policy Optimization,"Daniel Pfrommer, Max Simchowitz, Tyler Westenbroek, Nikolai Matni, Stephen Tu",http://arxiv.org/abs/2305.09619,,https://huggingface.co/papers/2305.09619,,,,2305.09619,5,0
 Special Properties of Gradient Descent with Large Learning Rates,"Amirkeivan Mohtashami, Martin Jaggi, Sebastian Stich",http://arxiv.org/abs/2205.15142,,https://huggingface.co/papers/2205.15142,,,,2205.15142,3,0
-PAC-Bayesian Offline Contextual Bandits With Guarantees,"Otmane Sakhi, Pierre Alquier, Nicolas Chopin",http://arxiv.org/abs/2210.13132,,https://huggingface.co/papers/2210.13132,,,,2210.13132,3,0
+PAC-Bayesian Offline Contextual Bandits With Guarantees,"Otmane Sakhi, Pierre Alquier, Nicolas Chopin",http://arxiv.org/abs/2210.13132,,https://huggingface.co/papers/2210.13132,,,,2210.13132,3,1
 Scalable Adaptive Computation for Iterative Generation,"Allan Jabri, David Fleet, Ting Chen",http://arxiv.org/abs/2212.11972,,https://huggingface.co/papers/2212.11972,,,,2212.11972,3,0
 Fairness in Streaming Submodular Maximization over a Matroid Constraint,"Marwa El Halabi, Federico Fusco, Ashkan Norouzi-Fard, Jakab Tardos, Jakub Tarnawski",http://arxiv.org/abs/2305.15118,,https://huggingface.co/papers/2305.15118,,,,2305.15118,5,0
 Cluster Explanation via Polyhedral Descriptions,"Connor Lawless, Oktay Gunluk",http://arxiv.org/abs/2210.08798,,https://huggingface.co/papers/2210.08798,,,,2210.08798,2,0
@@ -565,7 +565,7 @@ A General Theory for Federated Optimization with Asynchronous and Heterogeneous
 Principled Offline RL in the Presence of Rich Exogenous Information,"Riashat Islam, Manan Tomar, Alex Lamb, Yonathan Efroni, Hongyu Zang, Aniket Didolkar, Dipendra Misra, Xin Li, Harm Seijen, Remi Tachet des Combes, John Langford",,,,,,,,,
 Reflected Diffusion Models,"Aaron Lou, Stefano Ermon",http://arxiv.org/abs/2304.04740,,https://huggingface.co/papers/2304.04740,,,,2304.04740,2,0
 Speeding Up Bellman Ford via Minimum Violation Permutations,"Silvio Lattanzi, Ola Svensson, Sergei Vassilvitskii",,,,,,,,,
-STEP: Learning N:M Structured Sparsity Masks from Scratch with Precondition,"Yucheng Lu, Shivani Agrawal, Suvinay Subramanian, Oleg Rybakov, Chris De Sa, Amir Yazdanbakhsh",http://arxiv.org/abs/2302.01172,,https://huggingface.co/papers/2302.01172,,,,2302.01172,6,0
+STEP: Learning N:M Structured Sparsity Masks from Scratch with Precondition,"Yucheng Lu, Shivani Agrawal, Suvinay Subramanian, Oleg Rybakov, Chris De Sa, Amir Yazdanbakhsh",http://arxiv.org/abs/2302.01172,,https://huggingface.co/papers/2302.01172,,,,2302.01172,6,1
 The Regret of Exploration and the Control of Bad Episodes in Reinforcement Learning,"Bruno Gaujal, Victor Boone",,,,,,,,,
 Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks,"Yiwei Lu, Gautam Kamath, Yaoliang Yu",http://arxiv.org/abs/2303.03592,,https://huggingface.co/papers/2303.03592,,,,2303.03592,3,0
 GuardHFL: Privacy Guardian for Heterogeneous Federated Learning,"Hanxiao Chen, Meng Hao, Hongwei Li, Kangjie Chen, Guowen Xu, Tianwei Zhang, Xilin Zhang",,,,,,,,,
@@ -799,7 +799,7 @@ Low Complexity Homeomorphic Projection to Ensure Neural-Network Solution Feasibi
 General Sequential Episodic Memory Model,"Arjun Karuvally, Terrence Sejnowski, Hava Sieglemann",,,,,,,,,
 Extrapolative Controlled Sequence Generation via Iterative Refinement,"Vishakh Padmakumar, Richard Yuanzhe Pang, He He, Ankur Parikh",http://arxiv.org/abs/2303.04562,https://github.com/vishakhpk/iter-extrapolation,https://huggingface.co/papers/2303.04562,,,,2303.04562,4,0
 A Model-Based Method for Minimizing CVaR and Beyond,"Si Yi Meng, Robert Gower",http://arxiv.org/abs/2305.17498,,https://huggingface.co/papers/2305.17498,,,,2305.17498,2,0
-Future-conditioned Unsupervised Pretraining for Decision Transformer,"Zhihui Xie, Zichuan Lin, Deheng Ye, Qiang Fu, Wei Yang, Shuai Li",http://arxiv.org/abs/2305.16683,,https://huggingface.co/papers/2305.16683,,,,2305.16683,6,0
+Future-conditioned Unsupervised Pretraining for Decision Transformer,"Zhihui Xie, Zichuan Lin, Deheng Ye, Qiang Fu, Wei Yang, Shuai Li",http://arxiv.org/abs/2305.16683,,https://huggingface.co/papers/2305.16683,,,,2305.16683,6,1
 Ewald-based Long-Range Message Passing for Molecular Graphs,"Arthur Kosmala, Johannes Gasteiger, Nicholas Gao, Stephan Günnemann",http://arxiv.org/abs/2303.04791,,https://huggingface.co/papers/2303.04791,,,,2303.04791,4,0
 Applied Online Algorithms with Heterogeneous Predictors,"Jessica Maghakian, Russell Lee, Mohammad Hajiesmaili, Jian Li, Ramesh Sitaraman, Zhenhua Liu",,,,,,,,,
 "Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation","Andi Peng, Aviv Netanyahu, Mark Ho, Tianmin Shu, Andreea Bobu, Julie Shah, Pulkit Agrawal",,,,,,,,,
@@ -1187,7 +1187,7 @@ Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neu
 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,,,,2301.07608,22,0
 Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Linear Speedup and Partial Participation,"Xiaoyun Li, Ping Li",,,,,,,,,
 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
-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,,,,2301.12726,5,0
+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
 Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap,"Hang Wang, Sen Lin, Junshan Zhang",,,,,,,,,
 Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models,"Dongjun Kim, Yeongmin Kim, Se Jung Kwon, Wanmo Kang, IL CHUL MOON",http://arxiv.org/abs/2211.17091,https://github.com/alsdudrla10/DG,https://huggingface.co/papers/2211.17091,,,,2211.17091,5,0
 Weighted flow diffusion for local graph clustering with node attributes: an algorithm and statistical guarantees,"Shenghao Yang, Kimon Fountoulakis",http://arxiv.org/abs/2301.13187,,https://huggingface.co/papers/2301.13187,,,,2301.13187,2,0
@@ -1864,5 +1864,5 @@ Reparameterized Policy Learning for Multimodal Trajectory Optimization,"Zhiao Hu
 Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping,"Baorui Ma, Yushen Liu, Zhizhong Han",http://arxiv.org/abs/2306.01405,https://github.com/mabaorui/Noise2NoiseMapping,https://huggingface.co/papers/2306.01405,,,,2306.01405,3,0
 Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points,"Ziye Ma, Igor Molybog, Javad Lavaei, Somayeh Sojoudi",http://arxiv.org/abs/2302.07828,,https://huggingface.co/papers/2302.07828,,,,2302.07828,4,0
 Sequential Underspecified Instrument Selection for Cause-Effect Estimation,"Elisabeth Ailer, Jason Hartford, Niki Kilbertus",http://arxiv.org/abs/2302.05684,,https://huggingface.co/papers/2302.05684,,,,2302.05684,3,0
-Brauer's Group Equivariant Neural Networks,Edward Pearce-Crump,http://arxiv.org/abs/2212.08630,,https://huggingface.co/papers/2212.08630,,,,2212.08630,1,0
+Brauer's Group Equivariant Neural Networks,Edward Pearce-Crump,http://arxiv.org/abs/2212.08630,,https://huggingface.co/papers/2212.08630,,,,2212.08630,1,1
 Learning-Rate-Free Learning by D-Adaptation,"Aaron Defazio, Konstantin Mishchenko",,,,,,,,,