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@@ -31,13 +31,13 @@ Model-Free Robust Average-Reward Reinforcement Learning,"Yue Wang, Alvaro Velasq
 "Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learning",Thomas Miconi,http://arxiv.org/abs/2112.08588,,https://huggingface.co/papers/2112.08588,,,,2112.08588,1,1
 Moderately Distributional Exploration for Domain Generalization,"Rui Dai, Yonggang Zhang, zhen fang, Bo Han, Xinmei Tian",http://arxiv.org/abs/2304.13976,,https://huggingface.co/papers/2304.13976,,,,2304.13976,5,0
 A General Representation Learning Framework with Generalization Performance Guarantees,"Junbiao Cui, Jianqing Liang, Qin Yue, Jiye Liang",,,,,,,,,
-On the Impact of Knowledge Distillation for Model Interpretability,"Hyeongrok Han, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon",http://arxiv.org/abs/2305.15734,,https://huggingface.co/papers/2305.15734,,,,2305.15734,4,0
+On the Impact of Knowledge Distillation for Model Interpretability,"Hyeongrok Han, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon",http://arxiv.org/abs/2305.15734,,https://huggingface.co/papers/2305.15734,,,,2305.15734,4,1
 Submodular Order Functions and Assortment Optimization,Rajan Udwani,http://arxiv.org/abs/2107.02743,,https://huggingface.co/papers/2107.02743,,,,2107.02743,1,0
 Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression,"JUNFAN LI, Shizhong Liao",http://arxiv.org/abs/2306.08320,,https://huggingface.co/papers/2306.08320,,,,2306.08320,2,0
 Is Learning Summary Statistics Necessary for Likelihood-free Inference?,"Yanzhi Chen, Michael Gutmann, Adrian Weller",,,,,,,,,
 FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels,"Guillaume Staerman, Cédric Allain, Alexandre Gramfort, Thomas Moreau",http://arxiv.org/abs/2210.04635,,https://huggingface.co/papers/2210.04635,,,,2210.04635,4,1
 Learning Preconditioner for Conjugate Gradient PDE Solvers,"Yichen Li, Peter Yichen Chen, Tao Du, Wojciech Matusik",http://arxiv.org/abs/2305.16432,,https://huggingface.co/papers/2305.16432,,,,2305.16432,4,0
-Muse: Text-To-Image Generation via Masked Generative Transformers,"Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, Jose Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Murphy, William Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan",http://arxiv.org/abs/2301.00704,,https://huggingface.co/papers/2301.00704,,,,2301.00704,12,0
+Muse: Text-To-Image Generation via Masked Generative Transformers,"Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, Jose Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Murphy, William Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan",http://arxiv.org/abs/2301.00704,,https://huggingface.co/papers/2301.00704,,,,2301.00704,12,1
 Men Also Do Laundry: Multi-Attribute Bias Amplification,"Dora Zhao, Jerone Andrews, Alice Xiang",http://arxiv.org/abs/2210.11924,,https://huggingface.co/papers/2210.11924,,,,2210.11924,3,0
 TIPS: Topologically Important Path Sampling for Anytime Neural Networks,"Guihong Li, Kartikeya Bhardwaj, Yuedong Yang, Radu Marculescu",http://arxiv.org/abs/2305.08021,,https://huggingface.co/papers/2305.08021,,,,2305.08021,4,0
 Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation,"Jeffrey Willette, Seanie Lee, Bruno Andreis, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang",http://arxiv.org/abs/2208.12401,,https://huggingface.co/papers/2208.12401,,,,2208.12401,6,1
@@ -57,17 +57,17 @@ Regularization and Variance-Weighted Regression Achieves Minimax Optimality in L
 Automatically marginalized MCMC in probabilistic programming,"Jinlin Lai, Javier Burroni, Hui Guan, Daniel Sheldon",http://arxiv.org/abs/2302.00564,,https://huggingface.co/papers/2302.00564,,,,2302.00564,4,1
 Nugget: Neural Agglomerative Embeddings of Text,"Guanghui Qin, Benjamin Van Durme",,,,,,,,,
 Optimal Shrinkage for Distributed Second-Order Optimization,"Fangzhao Zhang, Mert Pilanci",,,,,,,,,
-Defects of Convolutional Decoder Networks in Frequency Representation,"Ling Tang, Wen Shen, Zhanpeng Zhou, YueFeng Chen, Quanshi Zhang",http://arxiv.org/abs/2210.09020,,https://huggingface.co/papers/2210.09020,,,,2210.09020,5,0
+Defects of Convolutional Decoder Networks in Frequency Representation,"Ling Tang, Wen Shen, Zhanpeng Zhou, YueFeng Chen, Quanshi Zhang",http://arxiv.org/abs/2210.09020,,https://huggingface.co/papers/2210.09020,,,,2210.09020,5,2
 "Understanding Int4 Quantization for Language Models: Latency Speedup,  Composability,  and Failure Cases","Xiaoxia Wu, Cheng Li, Reza Yazdani Aminabadi, Zhewei Yao, Yuxiong He",,,,,,,,,
-Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure,Ryoma Sato,http://arxiv.org/abs/2301.10956,,https://huggingface.co/papers/2301.10956,,,,2301.10956,1,0
+Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure,Ryoma Sato,http://arxiv.org/abs/2301.10956,,https://huggingface.co/papers/2301.10956,,,,2301.10956,1,1
 Quantum Lower Bounds for Finding Stationary Points of Nonconvex Functions,"Chenyi Zhang, Tongyang Li",http://arxiv.org/abs/2212.03906,,https://huggingface.co/papers/2212.03906,,,,2212.03906,2,0
 Synthetic data for model selection,"Alon Shshan, Nadav Bhonker, Igor Kviatkovsky, Igor Kviatkovsky, Matan Fintz, Gerard Medioni",http://arxiv.org/abs/2105.00717,,https://huggingface.co/papers/2105.00717,,,,2105.00717,5,0
 Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models,"Rongjie Huang, Jiawei Huang, Dongchao Yang, Yi Ren, Luping Liu, Mingze Li, Zhenhui Ye, Jinglin Liu, Xiang Yin, Zhou Zhao",,,,,,,,,
 Learning Affinity with Hyperbolic Representation for Spatial Propagation,"Jin-Hwi Park, JAESUNG CHOE, Inhwan Bae, HAE-GON JEON",,,,,,,,,
-Revisiting Discriminative vs. Generative Classifiers: Theory and Implications,"Chenyu Zheng, Guoqiang Wu, Fan Bao, Yue Cao, Chongxuan Li, Jun Zhu",http://arxiv.org/abs/2302.02334,https://github.com/ML-GSAI/Revisiting-Dis-vs-Gen-Classifiers,https://huggingface.co/papers/2302.02334,,,,2302.02334,6,0
+Revisiting Discriminative vs. Generative Classifiers: Theory and Implications,"Chenyu Zheng, Guoqiang Wu, Fan Bao, Yue Cao, Chongxuan Li, Jun Zhu",http://arxiv.org/abs/2302.02334,https://github.com/ML-GSAI/Revisiting-Dis-vs-Gen-Classifiers,https://huggingface.co/papers/2302.02334,,,,2302.02334,6,1
 Differentially Private Stochastic Convex Optimization under a Quantile Loss Function,"Du Chen, Geoffrey Chua",,,,,,,,,
 Continual Vision-Language Representation Learning with Off-Diagonal Information,"zixuan ni, Longhui Wei, Siliang Tang, Yueting Zhuang, Qi Tian",http://arxiv.org/abs/2305.07437,,https://huggingface.co/papers/2305.07437,,,,2305.07437,5,0
-Learning to Learn from APIs: Black-Box Data-Free Meta-Learning,"Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao",http://arxiv.org/abs/2305.18413,,https://huggingface.co/papers/2305.18413,,,,2305.18413,6,0
+Learning to Learn from APIs: Black-Box Data-Free Meta-Learning,"Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao",http://arxiv.org/abs/2305.18413,,https://huggingface.co/papers/2305.18413,,,,2305.18413,6,1
 Learning Functional Distributions with Private Labels,"Changlong Wu, Yifan Wang, Ananth Grama, Wojciech Szpankowski",,,,,,,,,
 A Kernel Stein Test of Goodness of Fit for Sequential Models,"Jerome Baum, Heishiro Kanagawa, Arthur Gretton",http://arxiv.org/abs/2210.10741,,https://huggingface.co/papers/2210.10741,,,,2210.10741,3,0
 DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation,"Yuhang Lai, Chengxi Li, Yiming Wang, Tianyi Zhang, Ruiqi Zhong, Luke Zettlemoyer, Scott Yih, Daniel Fried, Sida Wang, Tao Yu",,,,,,,,,
@@ -87,7 +87,7 @@ Underspecification Presents Challenges for Credibility in Modern Machine Learnin
 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",,,,,,,,,
 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
 Adaptive Annealed Importance Sampling with Constant Rate Progress,"Shirin Goshtasbpour, Victor Cohen, Perez Fernando",,,,,,,,,
-A Coupled Flow Approach to Imitation Learning,"Gideon Freund, Elad Sarafian, Sarit Kraus",http://arxiv.org/abs/2305.00303,,https://huggingface.co/papers/2305.00303,,,,2305.00303,3,0
+A Coupled Flow Approach to Imitation Learning,"Gideon Freund, Elad Sarafian, Sarit Kraus",http://arxiv.org/abs/2305.00303,,https://huggingface.co/papers/2305.00303,,,,2305.00303,3,2
 Learning to Optimize Differentiable Games,"Xuxi Chen, Nelson Vadori, Tianlong Chen, Zhangyang “Atlas” Wang",,,,,,,,,
 Robust Satisficing MDPs,"Haolin RUAN, Siyu Zhou, Zhi Chen, Chin Pang Ho",,,,,,,,,
 Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations,"Weixin Liang, Yining Mao, Yongchan Kwon, Xinyu Yang, James Zou",http://arxiv.org/abs/2305.02995,,https://huggingface.co/papers/2305.02995,,,,2305.02995,5,1
@@ -163,7 +163,7 @@ Latent Traversals in Generative Models as Potential Flows,"Yue Song, T. Anderson
 Fast Rates for Maximum Entropy Exploration,"Daniil Tiapkin, Denis Belomestny, Daniele Calandriello, Eric Moulines, Remi Munos, Alexey Naumov, Pierre Perrault, Yunhao Tang, Michal Valko, Pierre Menard",http://arxiv.org/abs/2303.08059,,https://huggingface.co/papers/2303.08059,,,,2303.08059,10,1
 MonoNeRF: Learning Generalizable NeRFs from Monocular Videos without Camera Pose,"Yang Fu, Ishan Misra, Xiaolong Wang",http://arxiv.org/abs/2210.07181,,https://huggingface.co/papers/2210.07181,,,,2210.07181,3,0
 Are Large Kernels  Better Teachers than Transformers for ConvNets?,"Tianjin Huang, Lu Yin, Zhenyu Zhang, Li Shen, Meng Fang, Mykola Pechenizkiy, Zhangyang “Atlas” Wang, Shiwei Liu",,,,,,,,,
-Learning in POMDPs is Sample-Efficient with Hindsight Observability,"Jonathan Lee, Alekh Agarwal, Christoph Dann, Tong Zhang",http://arxiv.org/abs/2301.13857,,https://huggingface.co/papers/2301.13857,,,,2301.13857,4,0
+Learning in POMDPs is Sample-Efficient with Hindsight Observability,"Jonathan Lee, Alekh Agarwal, Christoph Dann, Tong Zhang",http://arxiv.org/abs/2301.13857,,https://huggingface.co/papers/2301.13857,,,,2301.13857,4,1
 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
@@ -211,7 +211,7 @@ Learning Hidden Markov Models When the Locations of Missing Observations are Unk
 "SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance","Amit Attia, Tomer Koren",http://arxiv.org/abs/2302.08783,,https://huggingface.co/papers/2302.08783,,,,2302.08783,2,0
 A Distributional Optimization-based Framework for Confidence Bounds of Risk Measures,"Hao Liang, Zhi-Quan Luo",,,,,,,,,
 Neural Inverse Operators for Solving PDE Inverse Problems,"Roberto Molinaro, Yunan Yang, Björn Engquist, Siddhartha Mishra",http://arxiv.org/abs/2301.11167,,https://huggingface.co/papers/2301.11167,,,,2301.11167,4,0
-GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets,"Shubham Gupta, Sahil Manchanda, Sayan Ranu, Srikanta Bedathur",http://arxiv.org/abs/2306.03447,,https://huggingface.co/papers/2306.03447,,,,2306.03447,4,0
+GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets,"Shubham Gupta, Sahil Manchanda, Sayan Ranu, Srikanta Bedathur",http://arxiv.org/abs/2306.03447,,https://huggingface.co/papers/2306.03447,,,,2306.03447,4,1
 Bidirectional Looking with A Novel Double Exponential Moving Average to Adaptive and Non-adaptive Momentum Optimizers,"Yineng Chen, Zuchao Li, Lefei Zhang, Bo Du, hai zhao",,,,,,,,,
 Speed-Oblivious Online Scheduling: Knowing (Precise) Speeds is not Necessary,"Alexander Lindermayr, Nicole Megow, Martin Rapp",http://arxiv.org/abs/2302.00985,,https://huggingface.co/papers/2302.00985,,,,2302.00985,3,0
 Aligning Language Models with Preferences through $f$-divergence Minimization,"Dongyoung Go, Tomasz Korbak, Germán Kruszewski, Jos Rozen, Nahyeon Ryu, Marc Dymetman",,,,,,,,,
@@ -270,7 +270,7 @@ PAC-Bayesian Offline Contextual Bandits With Guarantees,"Otmane Sakhi, Pierre Al
 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
-PAC-Bayesian Generalization Bounds for Adversarial Generative Models,"Sokhna Diarra Mbacke, Florence Clerc, Pascal Germain",http://arxiv.org/abs/2302.08942,,https://huggingface.co/papers/2302.08942,,,,2302.08942,3,0
+PAC-Bayesian Generalization Bounds for Adversarial Generative Models,"Sokhna Diarra Mbacke, Florence Clerc, Pascal Germain",http://arxiv.org/abs/2302.08942,,https://huggingface.co/papers/2302.08942,,,,2302.08942,3,1
 Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation,"Yifei Min, Jiafan He, Jiafan He, Tianhao Wang, Quanquan Gu",http://arxiv.org/abs/2305.06446,,https://huggingface.co/papers/2305.06446,,,,2305.06446,4,1
 Consistency Models,"Yang Song, Prafulla Dhariwal, Mark Chen, Ilya Sutskever",http://arxiv.org/abs/2303.01469,,https://huggingface.co/papers/2303.01469,,,,2303.01469,4,0
 A Two-Stage Active Learning Algorithm for k-Nearest Neighbors,"Nicholas Rittler, Kamalika Chaudhuri",,,,,,,,,
@@ -292,7 +292,7 @@ Learning Neural PDE Solvers with Parameter-Guided Channel Attention,"Makoto Taka
 Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability,"Thomy Phan, Fabian Ritz, Philipp Altmann, Maximilian Zorn, Jonas Nüßlein, Michael Kölle, Thomas Gabor, Claudia Linnhoff-Popien",http://arxiv.org/abs/2301.01649,,https://huggingface.co/papers/2301.01649,,,,2301.01649,8,1
 Geometric Latent Diffusion Models for 3D Molecule Generation,"Minkai Xu, Alexander Powers, Ron Dror, Stefano Ermon, Jure Leskovec",http://arxiv.org/abs/2305.01140,https://github.com/MinkaiXu/GeoLDM,https://huggingface.co/papers/2305.01140,,,,2305.01140,5,1
 Efficient preconditioned stochastic gradient descent for estimation in  latent variable models,"Charlotte Baey, Maud DELATTRE, Estelle Kuhn, Jean-Benoist Leger, Sarah Lemler",,,,,,,,,
-Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design,"Chuan Guo, Kamalika Chaudhuri, Pierre Stock, Michael Rabbat",http://arxiv.org/abs/2211.03942,,https://huggingface.co/papers/2211.03942,,,,2211.03942,4,0
+Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design,"Chuan Guo, Kamalika Chaudhuri, Pierre Stock, Michael Rabbat",http://arxiv.org/abs/2211.03942,,https://huggingface.co/papers/2211.03942,,,,2211.03942,4,1
 Auxiliary Modality Learning with Generalized Curriculum Distillation,"Yu Shen, Xijun Wang, Peng Gao, Ming Lin",,,,,,,,,
 Training Deep Surrogate Models with Large Scale Online Learning,"Lucas Meyer, Marc Schouler, Robert Caulk, Alejandro Ribes, Bruno Raffin",,,,,,,,,
 The Benefits of Model-Based Generalization in Reinforcement Learning,"Kenny Young, Aditya Ramesh, Louis Kirsch, Jürgen Schmidhuber",http://arxiv.org/abs/2211.02222,,https://huggingface.co/papers/2211.02222,,,,2211.02222,4,1
@@ -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,,,,2212.12749,5,0
+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
 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
@@ -336,7 +336,7 @@ Benign Overfitting in Deep Neural Networks under Lazy Training,"Zhenyu Zhu, Fang
 A Hybrid Quantum-Classical Approach based on the Hadamard Transform for the Convolutional Layer,"Hongyi Pan, Xin Zhu, Salih Furkan Atici, Ahmet Cetin",http://arxiv.org/abs/2305.17510,,https://huggingface.co/papers/2305.17510,,,,2305.17510,4,0
 Coder Reviewer Reranking for Code Generation,"Tianyi Zhang, Tao Yu, Tatsunori Hashimoto, Mike Lewis, Scott Yih, Daniel Fried, Sida Wang",http://arxiv.org/abs/2211.16490,,https://huggingface.co/papers/2211.16490,,,,2211.16490,7,0
 Causal Isotonic Calibration for Heterogeneous Treatment Effects,"Lars van der Laan, Ernesto Ulloa-Perez, Marco Carone, Alex Luedtke",http://arxiv.org/abs/2302.14011,,https://huggingface.co/papers/2302.14011,,,,2302.14011,4,0
-Approximation Algorithms for Fair Range Clustering,"Sedjro Salomon Hotegni, Sepideh Mahabadi, Ali Vakilian",http://arxiv.org/abs/2306.06778,,https://huggingface.co/papers/2306.06778,,,,2306.06778,3,0
+Approximation Algorithms for Fair Range Clustering,"Sedjro Salomon Hotegni, Sepideh Mahabadi, Ali Vakilian",http://arxiv.org/abs/2306.06778,,https://huggingface.co/papers/2306.06778,,,,2306.06778,3,1
 Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration,"Blaise Delattre, Quentin Barthélemy, Alexandre Araujo, Alexandre Allauzen",http://arxiv.org/abs/2305.16173,https://github.com/blaisedelattre/lip4conv,https://huggingface.co/papers/2305.16173,,,,2305.16173,4,0
 Markovian Gaussian Process Variational Autoencoders,"Harrison Zhu, Carles Balsells Rodas, Yingzhen Li",http://arxiv.org/abs/2207.05543,,https://huggingface.co/papers/2207.05543,,,,2207.05543,3,0
 Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous Data,"Yubo Zhuang, Xiaohui Chen, Yun Yang",http://arxiv.org/abs/2209.15097,,https://huggingface.co/papers/2209.15097,,,,2209.15097,3,0
@@ -410,7 +410,7 @@ Tighter Analysis for ProxSkip,"Zhengmian Hu, Heng Huang",,,,,,,,,
 Fast Rates in Time-Varying Strongly Monotone Games,"Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou",,,,,,,,,
 Understanding Oversquashing in GNNs through the Lens of Effective Resistance,"Mitchell Black, Zhengchao Wan, Amir Nayyeri, Yusu Wang",http://arxiv.org/abs/2302.06835,,https://huggingface.co/papers/2302.06835,,,,2302.06835,4,0
 Traversing Between Modes in Function Space for Fast Ensembling,"Eunggu Yun, Hyungi Lee, Giung Nam, Juho Lee",,,,,,,,,
-Optimal Sets and Solution Paths of ReLU Networks,"Aaron Mishkin, Mert Pilanci",http://arxiv.org/abs/2306.00119,,https://huggingface.co/papers/2306.00119,,,,2306.00119,2,0
+Optimal Sets and Solution Paths of ReLU Networks,"Aaron Mishkin, Mert Pilanci",http://arxiv.org/abs/2306.00119,,https://huggingface.co/papers/2306.00119,,,,2306.00119,2,1
 Towards a Persistence Diagram that is Robust to Noise and Varied Densities,"Hang Zhang, Kaifeng Zhang, Kai Ming Ting, Ye Zhu",,,,,,,,,
 Understanding and Generalizing Contrastive Learning from the Inverse Optimal Transport Perspective,"Liangliang Shi, Gu Zhang, Haoyu Zhen, Jintao Fan, Junchi Yan",,,,,,,,,
 On the Impact of Algorithmic Recourse on Social Segregation,"Ruijiang Gao, Himabindu Lakkaraju",,,,,,,,,
@@ -510,7 +510,7 @@ Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCA,"Ilias Diakon
 Under-Counted Tensor Completion with Neural Incorporation of Attributes,"Shahana Ibrahim, Xiao Fu, Rebecca Hutchinson, Eugene Seo",http://arxiv.org/abs/2306.03273,,https://huggingface.co/papers/2306.03273,,,,2306.03273,4,0
 Multi-class Graph Clustering via Approximated Effective $p$-Resistance,"Shota Saito, Mark Herbster",,,,,,,,,
 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,,,,2206.03597,5,0
+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
 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
@@ -573,7 +573,7 @@ Performative Reinforcement Learning,"Debmalya Mandal, Stelios Triantafyllou, Gor
 Collaborative Causal Inference with Fair Incentives,"Rui Qiao, Xinyi Xu, Bryan Kian Hsiang Low",,,,,,,,,
 Communication-Constrained Bandits under Additive Gaussian Noise,"Prathamesh Mayekar, Jonathan Scarlett, Vincent Tan",http://arxiv.org/abs/2304.12680,,https://huggingface.co/papers/2304.12680,,,,2304.12680,3,0
 Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning,"Dayou Yu, Weishi Shi, Qi Yu",,,,,,,,,
-Expectation-Complete Graph Representations with Homomorphisms,"Pascal Welke, Maximilian Thiessen, Fabian Jogl, Thomas Gärtner",http://arxiv.org/abs/2306.05838,,https://huggingface.co/papers/2306.05838,,,,2306.05838,4,0
+Expectation-Complete Graph Representations with Homomorphisms,"Pascal Welke, Maximilian Thiessen, Fabian Jogl, Thomas Gärtner",http://arxiv.org/abs/2306.05838,,https://huggingface.co/papers/2306.05838,,,,2306.05838,4,1
 Constrained Phi-Equilibria,"Matteo Castiglioni, Martino Bernasconi, Alberto Marchesi, Francesco Trovò, Nicola Gatti",http://arxiv.org/abs/2301.13600,,https://huggingface.co/papers/2301.13600,,,,2301.13600,5,0
 Paging with Succinct Predictions,"Antonios Antoniadis, Joan Boyar, Marek Elias, Lene M Favrholdt, Ruben Hoeksma, Kim S. Larsen, Adam Polak, Bertrand Simon",http://arxiv.org/abs/2210.02775,,https://huggingface.co/papers/2210.02775,,,,2210.02775,8,0
 What do CNNs Learn in the First Layer and Why? A Linear Systems Perspective,"Rhea Chowers, Yair Weiss",http://arxiv.org/abs/2206.02454,,https://huggingface.co/papers/2206.02454,,,,2206.02454,2,0
@@ -675,7 +675,7 @@ Provable Copyright Protection for Generative Models,"Nikhil Vyas, Sham Kakade, B
 Primal and Dual Analysis of Entropic Fictitious Play for Finite-sum Problems,"Atsushi Nitanda, Kazusato Oko, Denny Wu, Nobuhito Takenouchi, Taiji Suzuki",http://arxiv.org/abs/2303.02957,,https://huggingface.co/papers/2303.02957,,,,2303.02957,5,0
 Online Local Differential Private Quantile Inference via Self-normalization,"Yi Liu, Qirui Hu, Lei Ding, Linglong Kong",,,,,,,,,
 Learnability and Algorithm for Continual Learning,"Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Bing Liu",,,,,,,,,
-A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging,"Jeffrey Wen, Rizwan Ahmad, Phillip Schniter",http://arxiv.org/abs/2306.01630,https://github.com/jwen307/mri_cnf,https://huggingface.co/papers/2306.01630,,,,2306.01630,3,0
+A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging,"Jeffrey Wen, Rizwan Ahmad, Phillip Schniter",http://arxiv.org/abs/2306.01630,https://github.com/jwen307/mri_cnf,https://huggingface.co/papers/2306.01630,,,,2306.01630,3,1
 Compressing Tabular Data via Latent Variable Estimation,"Andrea Montanari, Eric Weiner",http://arxiv.org/abs/2302.09780,,https://huggingface.co/papers/2302.09780,,,,2302.09780,2,0
 Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs,"Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu",http://arxiv.org/abs/2305.03935,,https://huggingface.co/papers/2305.03935,,,,2305.03935,4,0
 Generalized-Smooth Nonconvex Optimization is As Efficient As Smooth Nonconvex Optimization,"Ziyi Chen, Yi Zhou, Yingbin LIANG, Zhaosong Lu",http://arxiv.org/abs/2303.02854,,https://huggingface.co/papers/2303.02854,,,,2303.02854,4,0
@@ -690,7 +690,7 @@ LIV: Language-Image Representations and Rewards for Robotic Control,"Yecheng Jas
 Improving $\ell_1$-Certified Robustness via Randomized Smoothing by Leveraging Box Constraints,"Václav Voráček, Matthias Hein",,,,,,,,,
 Representation-Driven Reinforcement Learning,"Ofir Nabati, Guy Tennenholtz, Shie Mannor",http://arxiv.org/abs/2305.19922,,https://huggingface.co/papers/2305.19922,,,,2305.19922,3,0
 Distribution Free Prediction Sets for Node Classification,Jase Clarkson,http://arxiv.org/abs/2211.14555,,https://huggingface.co/papers/2211.14555,,,,2211.14555,1,0
-Generalized Reductions: Making any Hierarchical Clustering Fair and Balanced with Low Cost,"Marina Knittel, Max Springer, John P Dickerson, MohammadTaghi Hajiaghayi",http://arxiv.org/abs/2205.14198,,https://huggingface.co/papers/2205.14198,,,,2205.14198,4,0
+Generalized Reductions: Making any Hierarchical Clustering Fair and Balanced with Low Cost,"Marina Knittel, Max Springer, John P Dickerson, MohammadTaghi Hajiaghayi",http://arxiv.org/abs/2205.14198,,https://huggingface.co/papers/2205.14198,,,,2205.14198,4,1
 Few-Sample Feature Selection via Feature Manifold Learning,"David Cohen, Tal Shnitzer, Yuval Kluger, Ronen Talmon",,,,,,,,,
 Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces,"Javier E. Santos, Zachary Fox, Nicholas Lubbers, Yen Ting Lin",http://arxiv.org/abs/2305.11089,,https://huggingface.co/papers/2305.11089,,,,2305.11089,4,0
 Fair Neighbor Embedding,"Jaakko Peltonen, Wen Xu, Timo Nummenmaa, Jyrki Nummenmaa",,,,,,,,,
@@ -759,7 +759,7 @@ Iterative Approximate Cross-Validation,"Yuetian Luo, Zhimei Ren, Rina Barber",ht
 Conformalization of Sparse Generalized Linear Models,"Etash Guha, Eugene Ndiaye, Xiaoming Huo",,,,,,,,,
 Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value,"Yongchan Kwon, James Zou",,,,,,,,,
 Variational Mixture of HyperGenerators for Learning Distributions over Functions,"Batuhan Koyuncu, Pablo Sanchez Martin, Ignacio Peis, Pablo Olmos, Isabel Valera",http://arxiv.org/abs/2302.06223,,https://huggingface.co/papers/2302.06223,,,,2302.06223,5,0
-In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation,"Julian Bitterwolf, Maximilian Müller, Matthias Hein",http://arxiv.org/abs/2306.00826,https://github.com/j-cb/NINCO,https://huggingface.co/papers/2306.00826,,,,2306.00826,3,0
+In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation,"Julian Bitterwolf, Maximilian Müller, Matthias Hein",http://arxiv.org/abs/2306.00826,https://github.com/j-cb/NINCO,https://huggingface.co/papers/2306.00826,,,,2306.00826,3,1
 Neural FIM for learning Fisher information metrics from point cloud data,"Oluwadamilola Fasina, Guillaume Huguet, Alexander Tong, Yanlei Zhang, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy",http://arxiv.org/abs/2306.06062,,https://huggingface.co/papers/2306.06062,,,,2306.06062,8,0
 Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits,"Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang",http://arxiv.org/abs/2302.08086,,https://huggingface.co/papers/2302.08086,,,,2302.08086,4,0
 Optimal No-Regret Learning for One-Sided Lipschitz Functions,"PAUL DUETTING, Guru Guruganesh, Jon Schneider, Joshua Wang",,,,,,,,,
@@ -825,7 +825,7 @@ Simplified Temporal Consistency Reinforcement Learning,"Yi Zhao, Wenshuai Zhao,
 A Robust Test for the Stationarity Assumption in Sequential Decision Making,"Jitao Wang, Chengchun Shi, Zhenke Wu",,,,,,,,,
 Maximal Initial Learning Rates in Deep ReLU Networks,"Gaurav Iyer, Boris Hanin, David Rolnick",http://arxiv.org/abs/2212.07295,,https://huggingface.co/papers/2212.07295,,,,2212.07295,3,0
 FAENet: Frame Averaging Equivariant GNNs for Materials Modeling,"ALEXANDRE DUVAL, Victor Schmidt, Alex Hernandez-Garcia, Fragkiskos Malliaros, Yoshua Bengio, Santiago Miret, David Rolnick",,,,,,,,,
-Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels,"Alexander Immer, Tycho van der Ouderaa, Mark van der Wilk, Gunnar Ratsch, Bernhard Schölkopf",http://arxiv.org/abs/2306.03968,,https://huggingface.co/papers/2306.03968,,,,2306.03968,5,0
+Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels,"Alexander Immer, Tycho van der Ouderaa, Mark van der Wilk, Gunnar Ratsch, Bernhard Schölkopf",http://arxiv.org/abs/2306.03968,,https://huggingface.co/papers/2306.03968,,,,2306.03968,5,1
 Single Point-Based Distributed Zeroth-Order Optimization with a Non-Convex Stochastic Objective Function,"Elissa Mhanna, Mohamad Assaad",,,,,,,,,
 On the Convergence of Gradient Flow on Multi-layer Linear Models,"Hancheng Min, Rene Vidal, Enrique Mallada",,,,,,,,,
 Towards Understanding and Reducing Graph Structural Noise for GNNs,"Mingze Dong, Yuval Kluger",,,,,,,,,
@@ -955,7 +955,7 @@ How Bad is Top-$K$ Recommendation under Competing Content Creators?,"Fan Yao, Ch
 Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks,"Mohammed Nowaz Rabbani Chowdhury, Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen",http://arxiv.org/abs/2306.04073,,https://huggingface.co/papers/2306.04073,,,,2306.04073,5,0
 Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time,"Zichang Liu, Jue Wang, Tri Dao, Tianyi Zhou, Binhang Yuan, Zhao Song, Anshumali Shrivastava, Ce Zhang, Yuandong Tian, Christopher Re, Beidi Chen",,,,,,,,,
 Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models,"Ajay Jaiswal, Shiwei Liu, Tianlong Chen,  Ding, Zhangyang “Atlas” Wang",,,,,,,,,
-Learning GFlowNets From Partial Episodes For Improved Convergence And Stability,"Kanika Madan, Jarrid Rector-Brooks, Maksym Korablyov, Emmanuel Bengio, Moksh Jain, Andrei-Cristian Nica, Tom Bosc, Yoshua Bengio, Nikolay Malkin",http://arxiv.org/abs/2209.12782,,https://huggingface.co/papers/2209.12782,,,,2209.12782,9,0
+Learning GFlowNets From Partial Episodes For Improved Convergence And Stability,"Kanika Madan, Jarrid Rector-Brooks, Maksym Korablyov, Emmanuel Bengio, Moksh Jain, Andrei-Cristian Nica, Tom Bosc, Yoshua Bengio, Nikolay Malkin",http://arxiv.org/abs/2209.12782,,https://huggingface.co/papers/2209.12782,,,,2209.12782,9,1
 Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression,"Yihao Xue, Siddharth Joshi, Eric Gan, Pin-Yu Chen, Baharan Mirzasoleiman",http://arxiv.org/abs/2305.16536,,https://huggingface.co/papers/2305.16536,,,,2305.16536,5,0
 Denoising MCMC for Accelerating Diffusion-Based Generative Models,"Beomsu Kim, Jongchul Ye",http://arxiv.org/abs/2209.14593,https://github.com/1202kbs/DMCMC,https://huggingface.co/papers/2209.14593,,,,2209.14593,2,0
 A Fully First-Order Method for Stochastic Bilevel Optimization,"Jeongyeol Kwon, Dohyun Kwon, Stephen Wright, Robert Nowak",http://arxiv.org/abs/2301.10945,,https://huggingface.co/papers/2301.10945,,,,2301.10945,4,0
@@ -1041,7 +1041,7 @@ Achieving Linear Speedup in Non-IID Federated Bilevel Learning,"Minhui Huang, De
 Learning Dynamic Query Combinations for Transformer-based Object Detection and Segmentation,"Yiming Cui, Linjie Yang, Haichao Yu",,,,,,,,,
 Function-Space Regularization in Neural Networks: A Probabilistic Perspective,"Tim G. J. Rudner, Sanyam Kapoor, Shikai Qiu, Andrew Wilson",,,,,,,,,
 Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models,"Matthew Muckley, Alaaeldin El-Nouby, Karen Ullrich, Herve Jegou, Jakob Verbeek",http://arxiv.org/abs/2301.11189,,https://huggingface.co/papers/2301.11189,,,,2301.11189,5,0
-Retrieval-Augmented Multimodal Language Modeling,"Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, Richard James, Jure Leskovec, Percy Liang, Mike Lewis, Luke Zettlemoyer, Scott Yih",http://arxiv.org/abs/2211.12561,,https://huggingface.co/papers/2211.12561,,,,2211.12561,9,0
+Retrieval-Augmented Multimodal Language Modeling,"Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, Richard James, Jure Leskovec, Percy Liang, Mike Lewis, Luke Zettlemoyer, Scott Yih",http://arxiv.org/abs/2211.12561,,https://huggingface.co/papers/2211.12561,,,,2211.12561,9,1
 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,,,,,,,,,
@@ -1093,7 +1093,7 @@ Global optimality for Euclidean CCCP under Riemannian convexity,"Melanie Weber,
 Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains,"Vishwaraj Doshi, Jie Hu, Do-Young Eun",,,,,,,,,
 Distribution-dependent McDiarmid-type Inequalities for Functions of Unbounded Interaction,"Shaojie Li, Yong Liu",,,,,,,,,
 Identifying Interpretable Subspaces in Image Representations,"Neha Mukund Kalibhat, Shweta Bhardwaj, C. Bayan Bruss, Hamed Firooz, Maziar Sanjabi, Soheil Feizi",,,,,,,,,
-LegendreTron: Uprising Proper Multiclass Loss Learning,"Kevin H. Lam, Christian Walder, Spiridon Penev, Richard Nock",http://arxiv.org/abs/2301.11695,,https://huggingface.co/papers/2301.11695,,,,2301.11695,4,0
+LegendreTron: Uprising Proper Multiclass Loss Learning,"Kevin H. Lam, Christian Walder, Spiridon Penev, Richard Nock",http://arxiv.org/abs/2301.11695,,https://huggingface.co/papers/2301.11695,,,,2301.11695,4,1
 R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents,"Daniel D. Johnson, Daniel Tarlow, Christian Walder",,,,,,,,,
 High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors,"Shivam Gupta, Jasper Lee, Eric Price",http://arxiv.org/abs/2302.02497,,https://huggingface.co/papers/2302.02497,,,,2302.02497,3,0
 COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models,"Jinqi Xiao, Miao Yin, Yu Gong, Xiao Zang, Jian Ren, Bo Yuan",http://arxiv.org/abs/2305.17235,,https://huggingface.co/papers/2305.17235,,,,2305.17235,6,1
@@ -1158,7 +1158,7 @@ StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structure
 Multi-agent Online Scheduling: MMS Allocations for Indivisible Items,"Shengwei Zhou, Rufan Bai, Xiaowei Wu",http://arxiv.org/abs/2304.13405,,https://huggingface.co/papers/2304.13405,,,,2304.13405,3,0
 Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries,"Charlotte Loh, Seungwook Han, Shivchander Sudalairaj, Rumen Dangovski, Kai Xu, Florian Wenzel, Marin Solja\v{c}i\'{c}, Akash Srivastava",http://arxiv.org/abs/2303.02484,,https://huggingface.co/papers/2303.02484,,,,2303.02484,8,0
 NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation,"Jianfeng Wang, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Thomas Lukasiewicz",,,,,,,,,
-Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching,"Ilgee Hong, Sen Na, Michael Mahoney, Mladen Kolar",http://arxiv.org/abs/2305.18379,,https://huggingface.co/papers/2305.18379,,,,2305.18379,4,0
+Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching,"Ilgee Hong, Sen Na, Michael Mahoney, Mladen Kolar",http://arxiv.org/abs/2305.18379,,https://huggingface.co/papers/2305.18379,,,,2305.18379,4,1
 Fast Algorithms for Distributed k-Clustering with Outliers,"Junyu Huang, Qilong Feng, Ziyun Huang, Jinhui Xu, Jianxin Wang",,,,,,,,,
 End-to-End Full-Atom Antibody Design,"Xiangzhe Kong, Wenbing Huang, Yang Liu",http://arxiv.org/abs/2302.00203,,https://huggingface.co/papers/2302.00203,,,,2302.00203,3,0
 Disentangled Generative Models for Robust Prediction of System Dynamics,"Stathi Fotiadis, Mario Lino, Shunlong Hu, Stef Garasto, Chris Cantwell, Anil Bharath",http://arxiv.org/abs/2108.11684,,https://huggingface.co/papers/2108.11684,,,,2108.11684,6,0
@@ -1253,7 +1253,7 @@ Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples fo
 Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs,"Guan-Ting Liu, En-Pei Hu, Pu-Jen Cheng, Hung-yi Lee, Shao-Hua Sun",http://arxiv.org/abs/2301.12950,,https://huggingface.co/papers/2301.12950,,,,2301.12950,5,0
 Cooperative Open-ended Learning Framework for Zero-Shot Coordination,"Yang Li, Shao Zhang, Jichen Sun, Yali Du, Ying Wen, Xinbing Wang, Wei Pan",http://arxiv.org/abs/2302.04831,,https://huggingface.co/papers/2302.04831,,,,2302.04831,7,1
 CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design,"Desi Ivanova, Joel Jennings, Tom Rainforth, Cheng Zhang, Adam Foster",,,,,,,,,
-On the Identifiability and Estimation of Causal Location-Scale Noise Models,"Alexander Immer, Christoph Schultheiss, Julia Vogt, Bernhard Schölkopf, Peter Bühlmann, Alexander Marx",http://arxiv.org/abs/2210.09054,,https://huggingface.co/papers/2210.09054,,,,2210.09054,6,0
+On the Identifiability and Estimation of Causal Location-Scale Noise Models,"Alexander Immer, Christoph Schultheiss, Julia Vogt, Bernhard Schölkopf, Peter Bühlmann, Alexander Marx",http://arxiv.org/abs/2210.09054,,https://huggingface.co/papers/2210.09054,,,,2210.09054,6,1
 From Temporal to Contemporaneous Iterative Causal Discovery in the Presence of Latent Confounders,"Raanan Yehezkel Rohekar, Shami Nisimov, Yaniv Gurwicz, Gal Novik",http://arxiv.org/abs/2306.00624,,https://huggingface.co/papers/2306.00624,,,,2306.00624,4,0
 Reinforcement Learning in Low-rank MDPs with Density Features,"Audrey Huang, Jinglin Chen, Nan Jiang",http://arxiv.org/abs/2302.02252,,https://huggingface.co/papers/2302.02252,,,,2302.02252,3,1
 Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics,"Zonghan Yang, Peng Li, Tianyu Pang, Yang Liu",,,,,,,,,
@@ -1552,7 +1552,7 @@ Efficient Graph Field Integrators Meet Point Clouds,"Krzysztof Choromanski, Arij
 Moccasin: Efficient Tensor Rematerialization for Neural Networks,"Burak Bartan, Haoming Li, Harris Teague, Christopher Lott, Bistra Dilkina",http://arxiv.org/abs/2304.14463,,https://huggingface.co/papers/2304.14463,,,,2304.14463,5,0
 STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning,"Souradip Chakraborty, Amrit Bedi, Alec Koppel, Mengdi Wang, Furong Huang, Dinesh Manocha",,,,,,,,,
 The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning,"Sarah Rathnam, Sonali Parbhoo, Weiwei Pan, Susan Murphy, Finale Doshi-Velez",,,,,,,,,
-Towards Understanding and Improving GFlowNet Training,"Max Shen, Emmanuel Bengio, Ehsan Hajiramezanali, Andreas Loukas, Kyunghyun Cho, Tommaso Biancalani",http://arxiv.org/abs/2305.07170,,https://huggingface.co/papers/2305.07170,,,,2305.07170,6,0
+Towards Understanding and Improving GFlowNet Training,"Max Shen, Emmanuel Bengio, Ehsan Hajiramezanali, Andreas Loukas, Kyunghyun Cho, Tommaso Biancalani",http://arxiv.org/abs/2305.07170,,https://huggingface.co/papers/2305.07170,,,,2305.07170,6,1
 Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy,"Xing Liu, Andrew Duncan, Axel Gandy",http://arxiv.org/abs/2304.14762,,https://huggingface.co/papers/2304.14762,,,,2304.14762,3,0
 Principled Reinforcement Learning with Human Feedback from Pairwise or K-wise Comparisons,"Banghua Zhu, Michael Jordan, Jiantao Jiao",http://arxiv.org/abs/2301.11270,,https://huggingface.co/papers/2301.11270,,,,2301.11270,3,1
 Adaptive Barrier Smoothing for First-Order Policy Gradient with Contact Dynamics,"Shenao Zhang, Wanxin Jin, Zhaoran Wang",,,,,,,,,
@@ -1813,19 +1813,19 @@ Offline Learning in Markov Games with General Function Approximation,"Yuheng Zha
 Fairness in Matching under Uncertainty,"Siddartha Devic, David Kempe, Vatsal Sharan, Aleksandra Korolova",http://arxiv.org/abs/2302.03810,,https://huggingface.co/papers/2302.03810,,,,2302.03810,4,0
 Tensor Gaussian Process with Contraction for Multi-Channel Imaging Analysis,"Hu Sun, Ward Manchester, Meng Jin, Yang Liu, Yang Chen",http://arxiv.org/abs/2301.11203,,https://huggingface.co/papers/2301.11203,,,,2301.11203,5,0
 A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints,"Ming Shi, Yingbin LIANG, Ness Shroff",http://arxiv.org/abs/2302.04375,,https://huggingface.co/papers/2302.04375,,,,2302.04375,3,0
-How Many Perturbations Break This Model? Evaluating Robustness Beyond Adversarial Accuracy,"Raphaël Olivier, Bhiksha Raj",http://arxiv.org/abs/2207.04129,,https://huggingface.co/papers/2207.04129,,,,2207.04129,2,0
+How Many Perturbations Break This Model? Evaluating Robustness Beyond Adversarial Accuracy,"Raphaël Olivier, Bhiksha Raj",http://arxiv.org/abs/2207.04129,,https://huggingface.co/papers/2207.04129,,,,2207.04129,2,1
 Understanding Self-Distillation in the Presence of Label Noise,"Rudrajit Das, Sujay Sanghavi",http://arxiv.org/abs/2301.13304,,https://huggingface.co/papers/2301.13304,,,,2301.13304,2,0
 Data-Driven Subgroup Discovery for Linear Regression,"Zachary Izzo, Ruishan Liu, James Zou",,,,,,,,,
 Smooth Non-stationary Bandits ,"Su Jia, Qian Xie, Nathan Kallus, Peter I Frazier",,,,,,,,,
-Formalizing Preferences Over Runtime Distributions,"Devon Graham, Kevin Leyton-Brown, Tim Roughgarden",http://arxiv.org/abs/2205.13028,,https://huggingface.co/papers/2205.13028,,,,2205.13028,3,0
+Formalizing Preferences Over Runtime Distributions,"Devon Graham, Kevin Leyton-Brown, Tim Roughgarden",http://arxiv.org/abs/2205.13028,,https://huggingface.co/papers/2205.13028,,,,2205.13028,3,1
 Second-order regression models exhibit progressive sharpening to the edge of stability,"Atish Agarwala, Fabian Pedregosa, Jeffrey Pennington",http://arxiv.org/abs/2210.04860,,https://huggingface.co/papers/2210.04860,,,,2210.04860,3,0
 Scaling Spherical CNNs,"Carlos Esteves, Jean-Jacques Slotine, Ameesh Makadia",http://arxiv.org/abs/2306.05420,https://github.com/google-research/spherical-cnn,https://huggingface.co/papers/2306.05420,,,,2306.05420,3,0
 Hardware-Aware Compression with Random Operation Access Specific Tile (ROAST) Hashing,"Aditya Desai, Keren Zhou, Anshumali Shrivastava",,,,,,,,,
-A Toy Model of Universality: Reverse Engineering how Networks Learn Group Operations,"Bilal Chughtai, Lawrence Chan, Neel Nanda",http://arxiv.org/abs/2302.03025,,https://huggingface.co/papers/2302.03025,,,,2302.03025,3,0
+A Toy Model of Universality: Reverse Engineering how Networks Learn Group Operations,"Bilal Chughtai, Lawrence Chan, Neel Nanda",http://arxiv.org/abs/2302.03025,,https://huggingface.co/papers/2302.03025,,,,2302.03025,3,1
 Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes,"Ba-Hien Tran, Babak Shahbaba, Stephan Mandt, Maurizio Filippone",http://arxiv.org/abs/2302.04534,,https://huggingface.co/papers/2302.04534,,,,2302.04534,4,0
 Why Random Pruning Is All We Need to Start Sparse,"Advait Gadhikar, Sohom Mukherjee, Rebekka Burkholz",http://arxiv.org/abs/2210.02412,,https://huggingface.co/papers/2210.02412,,,,2210.02412,3,0
 SpotEM: Efficient Video Search for Episodic Memory,"Santhosh Kumar Ramakrishnan, Ziad Al-Halah, Kristen Grauman",,,,,,,,,
-Multi-task Hierarchical Adversarial Inverse Reinforcement Learning,"Jiayu Chen, Dipesh Tamboli, Tian Lan, Vaneet Aggarwal",http://arxiv.org/abs/2305.12633,,https://huggingface.co/papers/2305.12633,,,,2305.12633,4,0
+Multi-task Hierarchical Adversarial Inverse Reinforcement Learning,"Jiayu Chen, Dipesh Tamboli, Tian Lan, Vaneet Aggarwal",http://arxiv.org/abs/2305.12633,,https://huggingface.co/papers/2305.12633,,,,2305.12633,4,1
 Unscented Autoencoder,"Faris Janjoš, Lars Rosenbaum, Maxim Dolgov, J. Marius Zoellner",http://arxiv.org/abs/2306.05256,,https://huggingface.co/papers/2306.05256,,,,2306.05256,4,0
 Vector-Valued Control Variates,"Zhuo Sun, Alessandro Barp, Francois-Xavier Briol",http://arxiv.org/abs/2109.08944,,https://huggingface.co/papers/2109.08944,,,,2109.08944,3,0
 Distributed Contextual Linear Bandits with Minimax Optimal Communication Cost,"Sanae Amani, Tor Lattimore, Andras Gyorgy, Lin Yang",http://arxiv.org/abs/2205.13170,,https://huggingface.co/papers/2205.13170,,,,2205.13170,4,0
@@ -1853,10 +1853,10 @@ Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Co
 Subequivariant Graph Reinforcement Learning in 3D Environments,"Runfa Chen, Jiaqi Han, Fuchun Sun, Wenbing Huang",http://arxiv.org/abs/2305.18951,,https://huggingface.co/papers/2305.18951,,,,2305.18951,4,0
 Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL,"Zakaria Mhammedi, Dylan Foster, Alexander Rakhlin",http://arxiv.org/abs/2304.05889,,https://huggingface.co/papers/2304.05889,,,,2304.05889,3,0
 Do Perceptually Aligned Gradients Imply Robustness?,"Roy Ganz, Bahjat Kawar, Michael Elad",,,,,,,,,
-Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels,"Sai Rajeswar, Pietro Mazzaglia, Tim Verbelen, Alex Piche, Bart Dhoedt, Aaron Courville, Alexandre Lacoste",http://arxiv.org/abs/2209.12016,,https://huggingface.co/papers/2209.12016,,,,2209.12016,7,0
+Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels,"Sai Rajeswar, Pietro Mazzaglia, Tim Verbelen, Alex Piche, Bart Dhoedt, Aaron Courville, Alexandre Lacoste",http://arxiv.org/abs/2209.12016,,https://huggingface.co/papers/2209.12016,,,,2209.12016,7,1
 Unifying Nesterov's Accelerated Gradient Methods for Convex and Strongly Convex Objective Functions,"Jungbin Kim, Insoon Yang",,,,,,,,,
-"Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models","Hong Liu, Sang Michael Xie, Zhiyuan Li, Tengyu Ma",http://arxiv.org/abs/2210.14199,,https://huggingface.co/papers/2210.14199,,,,2210.14199,4,0
-Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models,"Luke Vilnis, Yury Zemlyanskiy, Patrick Murray, Alexandre Passos, Sumit Sanghai",http://arxiv.org/abs/2210.15458,,https://huggingface.co/papers/2210.15458,,,,2210.15458,5,0
+"Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models","Hong Liu, Sang Michael Xie, Zhiyuan Li, Tengyu Ma",http://arxiv.org/abs/2210.14199,,https://huggingface.co/papers/2210.14199,,,,2210.14199,4,1
+Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models,"Luke Vilnis, Yury Zemlyanskiy, Patrick Murray, Alexandre Passos, Sumit Sanghai",http://arxiv.org/abs/2210.15458,,https://huggingface.co/papers/2210.15458,,,,2210.15458,5,1
 Cross-Modal Fine-Tuning: Align then Refine,"Junhong Shen, Liam Li, Lucio Dery, Corey Staten, Mikhail Khodak, Graham Neubig, Ameet Talwalkar",,,,,,,,,
 Why does Throwing Away Data Improve Worst-Group Error?,"Kamalika Chaudhuri, Kartik Ahuja, Martin Arjovsky, David Lopez-Paz",http://arxiv.org/abs/2205.11672,,https://huggingface.co/papers/2205.11672,,,,2205.11672,4,0
 Interventional Causal Representation Learning,"Kartik Ahuja, Divyat Mahajan, Yixin Wang, Yoshua Bengio",http://arxiv.org/abs/2209.11924,,https://huggingface.co/papers/2209.11924,,,,2209.11924,4,0