Update

papers.csv

@@ -196,7 +196,7 @@ Gradient Descent Monotonically Decreases the Sharpness of Gradient Flow Solution
 Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning,"Mingqi Yuan, Bo Li, Xin Jin, Wenjun Zeng",http://arxiv.org/abs/2301.10886,,https://huggingface.co/papers/2301.10886,,,,2301.10886,4,1
 Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs,"YIZHEN ZHENG, He Zhang, Vincent Lee, Yu Zheng, Xiao Wang, Shirui Pan",,,,,,,,,
 Topological Singularity Detection at Multiple Scales,"Julius Von Rohrscheidt, Bastian Rieck",http://arxiv.org/abs/2210.00069,,https://huggingface.co/papers/2210.00069,,,,2210.00069,2,0
-Total Variation Graph Neural Networks,"Jonas B. Hansen, Filippo Maria Bianchi",http://arxiv.org/abs/2211.06218,,https://huggingface.co/papers/2211.06218,,,,2211.06218,2,0
+Total Variation Graph Neural Networks,"Jonas B. Hansen, Filippo Maria Bianchi",http://arxiv.org/abs/2211.06218,,https://huggingface.co/papers/2211.06218,,,,2211.06218,2,1
 DevFormer: A Symmetric Transformer for Context-Aware Device Placement,"Haeyeon Kim, Minsu Kim, Federico Berto, Joungho Kim, Jinkyoo Park",http://arxiv.org/abs/2205.13225,,https://huggingface.co/papers/2205.13225,,,,2205.13225,5,1
 Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal,"Naresh Kumar Gurulingan, Bahram Zonooz, Elahe Arani",http://arxiv.org/abs/2305.00441,,https://huggingface.co/papers/2305.00441,,,,2305.00441,3,0
 Multi-Modal Classifiers for Open-Vocabulary Object Detection,"Prannay Kaul, Weidi Xie, Andrew Zisserman",http://arxiv.org/abs/2306.05493,,https://huggingface.co/papers/2306.05493,,,,2306.05493,3,2
@@ -222,7 +222,7 @@ TabDDPM: Modelling Tabular Data with Diffusion Models,"Akim Kotelnikov, Dmitry B
 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,,,,2301.13197,5,2
+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,,,,2301.13197,5,3
 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,,,,2208.13764,4,1
@@ -271,14 +271,14 @@ Scalable Adaptive Computation for Iterative Generation,"Allan Jabri, David Fleet
 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
-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,,,,2305.06446,4,0
+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",,,,,,,,,
 PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation,"Eli Chien, Jiong Zhang, Cho-Jui Hsieh, Jyun-Yu Jiang, Wei-Cheng Chang, Olgica Milenkovic, Hsiang-Fu Yu",http://arxiv.org/abs/2305.12349,,https://huggingface.co/papers/2305.12349,,,,2305.12349,7,0
 Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models,"Wenhao Ding, Tong Che, Ding Zhao, Marco Pavone",http://arxiv.org/abs/2305.11340,,https://huggingface.co/papers/2305.11340,,,,2305.11340,4,0
 CLUTR: Curriculum Learning via Unsupervised Task Representation Learning,"Abdus Salam Azad, Izzeddin Gur, Jasper Emhoff, Nathaniel Alexis, Aleksandra Faust, Pieter Abbeel, Ion Stoica",http://arxiv.org/abs/2210.10243,,https://huggingface.co/papers/2210.10243,,,,2210.10243,7,1
 Robust Collaborative Learning with Linear Gradient Overhead,"Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Lê-Nguyên Hoang, Rafael Pinot, John Stephan",http://arxiv.org/abs/2209.10931,https://github.com/LPD-EPFL/robust-collaborative-learning,https://huggingface.co/papers/2209.10931,,,,2209.10931,6,0
-RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents,"Rafael A Rodriguez-Sanchez, Benjamin Spiegel, Jennifer Wang, Roma Patel, Stefanie Tellex, George Konidaris",http://arxiv.org/abs/2208.06448,,https://huggingface.co/papers/2208.06448,,,,2208.06448,6,0
+RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents,"Rafael A Rodriguez-Sanchez, Benjamin Spiegel, Jennifer Wang, Roma Patel, Stefanie Tellex, George Konidaris",http://arxiv.org/abs/2208.06448,,https://huggingface.co/papers/2208.06448,,,,2208.06448,6,1
 Adversarial Cheap Talk,"Christopher Lu, Timon Willi, Alistair Letcher, Jakob Foerster",http://arxiv.org/abs/2211.11030,,https://huggingface.co/papers/2211.11030,,,,2211.11030,4,0
 Algorithmic Collective Action in Machine Learning,"Moritz Hardt, Eric Mazumdar, Celestine Mendler-Dünner, Tijana Zrnic",http://arxiv.org/abs/2302.04262,,https://huggingface.co/papers/2302.04262,,,,2302.04262,4,0
 Improving Graph Generation by Restricting Graph Bandwidth,"Nathaniel Diamant, Alex Tseng, Kangway Chuang, Tommaso Biancalani, Gabriele Scalia",http://arxiv.org/abs/2301.10857,,https://huggingface.co/papers/2301.10857,,,,2301.10857,5,0
@@ -289,8 +289,8 @@ Entropy-driven Unsupervised Keypoint Representation Learning in Videos,"Ali Youn
 Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?,"Boris Knyazev, DOHA HWANG, Simon Lacoste-Julien",http://arxiv.org/abs/2303.04143,,https://huggingface.co/papers/2303.04143,,,,2303.04143,3,1
 Private Statistical Estimation of Many Quantiles,"Clément Lalanne, Aurélien Garivier, Rémi Gribonval",http://arxiv.org/abs/2302.06943,,https://huggingface.co/papers/2302.06943,,,,2302.06943,3,0
 Learning Neural PDE Solvers with Parameter-Guided Channel Attention,"Makoto Takamoto, Francesco Alesiani, Mathias Niepert",http://arxiv.org/abs/2304.14118,,https://huggingface.co/papers/2304.14118,,,,2304.14118,3,0
-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,,,,2301.01649,8,0
-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,,,,2305.01140,5,0
+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
 Auxiliary Modality Learning with Generalized Curriculum Distillation,"Yu Shen, Xijun Wang, Peng Gao, Ming Lin",,,,,,,,,
@@ -381,7 +381,7 @@ Difference-in-Differences Meets Tree-based Methods: Heterogeneous Treatment Effe
 Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization,"Jungwuk Park, Dong-Jun Han, Soyeong Kim, Jaekyun Moon",http://arxiv.org/abs/2306.04911,,https://huggingface.co/papers/2306.04911,,,,2306.04911,4,0
 Distributional Offline Policy Evaluation with Predictive Error Guarantees,"Runzhe Wu, Masatoshi Uehara, Wen Sun",http://arxiv.org/abs/2302.09456,,https://huggingface.co/papers/2302.09456,,,,2302.09456,3,0
 FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization,"Jung Hyun Lee, Jeonghoon Kim, Se Jung Kwon, Dongsoo Lee",http://arxiv.org/abs/2306.00317,,https://huggingface.co/papers/2306.00317,,,,2306.00317,4,1
-GREAD: Graph Neural Reaction-Diffusion Networks,"Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho",http://arxiv.org/abs/2211.14208,,https://huggingface.co/papers/2211.14208,,,,2211.14208,4,0
+GREAD: Graph Neural Reaction-Diffusion Networks,"Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho",http://arxiv.org/abs/2211.14208,,https://huggingface.co/papers/2211.14208,,,,2211.14208,4,1
 Towards Trustworthy Explanation: On Causal Rationalization,"Wenbo Zhang, TONG WU, Yunlong Wang, Yong Cai, Hengrui Cai",,,,,,,,,
 Improved Algorithms for White-Box Adversarial Streams,"Ying Feng, David Woodruff",,,,,,,,,
 Towards Understanding Ensemble Distillation in Federated Learning,"Sejun Park, Kihun Hong, Ganguk Hwang",,,,,,,,,
@@ -398,7 +398,7 @@ Estimating Joint Treatment Effects by Combining Multiple Experiments,"Yonghan Ju
 From Robustness to Privacy and Back,"Hilal Asi, Jonathan Ullman, Lydia Zakynthinou",http://arxiv.org/abs/2302.01855,,https://huggingface.co/papers/2302.01855,,,,2302.01855,3,0
 MALTS: Matching After Learning to Stretch,"Harsh Parikh, Cynthia Rudin, Alexander Volfovsky",http://arxiv.org/abs/1811.07415,,https://huggingface.co/papers/1811.07415,,,,1811.07415,3,0
 "System identification of neural systems: If we got it right, would we know?","Yena Han, Tomaso A Poggio, Brian Cheung",http://arxiv.org/abs/2302.06677,,https://huggingface.co/papers/2302.06677,,,,2302.06677,3,0
-Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits,"Heyang Zhao, Dongruo Zhou, Jiafan He, Jiafan He, Quanquan Gu",http://arxiv.org/abs/2202.13603,,https://huggingface.co/papers/2202.13603,,,,2202.13603,4,0
+Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits,"Heyang Zhao, Dongruo Zhou, Jiafan He, Jiafan He, Quanquan Gu",http://arxiv.org/abs/2202.13603,,https://huggingface.co/papers/2202.13603,,,,2202.13603,4,1
 Federated Hypergradient Computation via Aggregated Iterative Differentiation,"Peiyao Xiao, Kaiyi Ji",,,,,,,,,
 Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning,"Yuxin Tang, Zhimin Ding, Dimitrije Jankov, Binhang Yuan, Daniel Bourgeois, Chris Jermaine",http://arxiv.org/abs/2306.00088,,https://huggingface.co/papers/2306.00088,,,,2306.00088,6,0
 Understanding Backdoor Attacks through the Adaptability Hypothesis,"Xun Xian, Ganghua Wang, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding",,,,,,,,,
@@ -420,7 +420,7 @@ Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex
 Meta-Learning the Inductive Bias of Simple Neural Circuits,"Will Dorrell, Maria Yuffa, Peter Latham",,,,,,,,,
 Secure Federated Correlation Test and Entropy Estimation,"Qi Pang, Lun Wang, Shuai Wang, Wenting Zheng, Dawn Song",,,,,,,,,
 SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference,"Ran Ran, Xinwei Luo, Wei Wang, Tao Liu, Gang Quan, Xiaolin Xu, Caiwen Ding, Wujie Wen",,,,,,,,,
-Streaming Active Learning with Deep Neural Networks,"Akanksha Saran, Safoora Yousefi, Akshay Krishnamurthy, John Langford, Jordan Ash",http://arxiv.org/abs/2303.02535,,https://huggingface.co/papers/2303.02535,,,,2303.02535,5,0
+Streaming Active Learning with Deep Neural Networks,"Akanksha Saran, Safoora Yousefi, Akshay Krishnamurthy, John Langford, Jordan Ash",http://arxiv.org/abs/2303.02535,,https://huggingface.co/papers/2303.02535,,,,2303.02535,5,1
 Hiding Data Helps: On the Benefits of Masking for Sparse Coding,"Muthu Chidambaram, Chenwei Wu, Yu Cheng, Rong Ge",http://arxiv.org/abs/2302.12715,,https://huggingface.co/papers/2302.12715,,,,2302.12715,4,0
 Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path,"Qiwei Di, Jiafan He, Jiafan He, Dongruo Zhou, Quanquan Gu",,,,,,,,,
 Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling,"Kolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi, Hannaneh Hajishirzi, Sameer Singh, Roy Fox",http://arxiv.org/abs/2301.12050,,https://huggingface.co/papers/2301.12050,,,,2301.12050,7,0
@@ -447,7 +447,7 @@ Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point
 Integrating Prior Knowledge in Contrastive Learning with Kernel,"Benoit Dufumier, Carlo Alberto Barbano, Robin Louiset, Edouard Duchesnay, Pietro Gori",http://arxiv.org/abs/2206.01646,,https://huggingface.co/papers/2206.01646,,,,2206.01646,5,0
 Adaptive Compositional Continual Meta-Learning,"Bin Wu, Jinyuan Fang, xiangxiang Zeng, Shangsong Liang, Qiang Zhang",,,,,,,,,
 Bandits with Knapsacks: Advice on Time-Varying Demands,"Lixing Lyu, Wang Chi Cheung",,,,,,,,,
-Emergent Agentic Transformer from Chain of Hindsight Experience,"Hao Liu, Pieter Abbeel",http://arxiv.org/abs/2305.16554,,https://huggingface.co/papers/2305.16554,,,,2305.16554,2,0
+Emergent Agentic Transformer from Chain of Hindsight Experience,"Hao Liu, Pieter Abbeel",http://arxiv.org/abs/2305.16554,,https://huggingface.co/papers/2305.16554,,,,2305.16554,2,1
 Graph Neural Networks with Learnable and Optimal Polynomial Bases,"Yuhe Guo, Zhewei Wei",http://arxiv.org/abs/2302.12432,,https://huggingface.co/papers/2302.12432,,,,2302.12432,2,0
 Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning,"Ya-Wei Eileen Lin, Ronald Coifman, Gal Mishne, Ronen Talmon",http://arxiv.org/abs/2305.18962,,https://huggingface.co/papers/2305.18962,,,,2305.18962,4,0
 Optimizing Hyperparameters with Conformal Quantile Regression,"David Salinas, Jacek Golebiowski, Aaron Klein, Matthias Seeger, Cedric Archambeau",http://arxiv.org/abs/2305.03623,,https://huggingface.co/papers/2305.03623,,,,2305.03623,5,0
@@ -599,13 +599,13 @@ Probabilistic Attention-to-Influence Neural Models for Event Sequences,"Xiao Sho
 Nearly-tight Bounds for Deep Kernel Learning,"Yi-Fan Zhang, Min-Ling Zhang",,,,,,,,,
 Generalized Disparate Impact for Configurable Fairness Solutions in ML,"Luca Giuliani, Eleonora Misino, Michele Lombardi",http://arxiv.org/abs/2305.18504,,https://huggingface.co/papers/2305.18504,,,,2305.18504,3,0
 Thompson Sampling with Less Exploration is Fast and Optimal,"Tianyuan Jin, XIANGLIN YANG, Xiaokui Xiao, Pan Xu",,,,,,,,,
-Do Machine Learning Models Learn Statistical Rules Inferred from Data?,"Aaditya Naik, Yinjun Wu, Mayur Naik, Eric Wong",http://arxiv.org/abs/2303.01433,https://github.com/DebugML/sqrl,https://huggingface.co/papers/2303.01433,,,,2303.01433,4,0
+Do Machine Learning Models Learn Statistical Rules Inferred from Data?,"Aaditya Naik, Yinjun Wu, Mayur Naik, Eric Wong",http://arxiv.org/abs/2303.01433,https://github.com/DebugML/sqrl,https://huggingface.co/papers/2303.01433,,,,2303.01433,4,1
 Deep Perturbation Learning: Enhancing the Network Performance via Image Perturbations,"Zifan Song, Xiao Gong, Guosheng Hu, Cairong Zhao",,,,,,,,,
 Hypothesis Transfer Learning with Surrogate Classification  Losses:  Generalization Bounds through Algorithmic Stability,"Anass Aghbalou, Guillaume Staerman",,,,,,,,,
 Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows,"Seobin Park, Dongjin Kim, Sungyong Baik, Tae Hyun Kim",,,,,,,,,
 Few-bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction,"Goergii Novikov, Daniel Bershatsky, Julia Gusak, Alex Shonenkov, Denis Dimitrov, Ivan Oseledets",http://arxiv.org/abs/2202.00441,,https://huggingface.co/papers/2202.00441,,,,2202.00441,6,0
 In Search for a Generalizable Method for Source Free Domain Adaptation,"Malik Boudiaf, tom denton, Bart van Merrienboer, Vincent Dumoulin, Eleni Triantafillou",http://arxiv.org/abs/2302.06658,,https://huggingface.co/papers/2302.06658,,,,2302.06658,5,1
-GeCoNeRF: Few-shot Neural Radiance Fields via Geometric Consistency,"Min-Seop Kwak, Jiuhn Song, Seungryong Kim",http://arxiv.org/abs/2301.10941,,https://huggingface.co/papers/2301.10941,,,,2301.10941,3,0
+GeCoNeRF: Few-shot Neural Radiance Fields via Geometric Consistency,"Min-Seop Kwak, Jiuhn Song, Seungryong Kim",http://arxiv.org/abs/2301.10941,,https://huggingface.co/papers/2301.10941,,,,2301.10941,3,1
 Input uncertainty propagation through trained neural networks,"Paul Monchot, Loic Coquelin, Sébastien J. Petit, Sébastien Marmin, Erwann LE PENNEC, Nicolas Fischer",,,,,,,,,
 Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference,"Ayush Bharti, Masha Naslidnyk, Oscar Key, Samuel Kaski, Francois-Xavier Briol",http://arxiv.org/abs/2301.11674,,https://huggingface.co/papers/2301.11674,,,,2301.11674,5,0
 SGD with large step sizes learns sparse features,"Maksym Andriushchenko, Aditya Vardhan Varre, Loucas Pillaud-Vivien, Nicolas Flammarion",http://arxiv.org/abs/2210.05337,https://github.com/tml-epfl/sgd-sparse-features,https://huggingface.co/papers/2210.05337,,,,2210.05337,4,0
@@ -655,7 +655,7 @@ Naive imputation implicitly regularizes high-dimensional linear models,"Alexis A
 Explaining Reinforcement Learning with Shapley Values,"Daniel Beechey, Thomas M. S. Smith, Ozgur Simsek",http://arxiv.org/abs/2306.05810,,https://huggingface.co/papers/2306.05810,,,,2306.05810,3,0
 Fisher Information Embedding for Node and Graph Learning,"Dexiong Chen, Paolo Pellizzoni, Karsten Borgwardt",http://arxiv.org/abs/2305.07580,https://github.com/BorgwardtLab/fisher_information_embedding,https://huggingface.co/papers/2305.07580,,,,2305.07580,3,0
 Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search,"Xin Qiu, Risto Miikkulainen",http://arxiv.org/abs/2210.14016,,https://huggingface.co/papers/2210.14016,,,,2210.14016,2,1
-Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement Learning,"Nicolas Castanet, Olivier Sigaud, sylvain lamprier",http://arxiv.org/abs/2206.06719,,https://huggingface.co/papers/2206.06719,,,,2206.06719,3,0
+Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement Learning,"Nicolas Castanet, Olivier Sigaud, sylvain lamprier",http://arxiv.org/abs/2206.06719,,https://huggingface.co/papers/2206.06719,,,,2206.06719,3,1
 A Unifying Framework to the Analysis of Interaction Methods using Synergy Functions,"Daniel Lundstrom, Meisam Razaviyayn",,,,,,,,,
 Predicting Ordinary Differential Equations with Transformers,"Sören Becker, Michal Klein, Alexander Neitz, Giambattista Parascandolo, Niki Kilbertus",,,,,,,,,
 SeMAIL: Eliminating Distractors in Visual Imitation via Separated Models,"Shenghua Wan, Yucen Wang, Minghao Shao, Ruying Chen, De-Chuan Zhan",,,,,,,,,
@@ -671,7 +671,7 @@ Identification of the Adversary from a Single Adversarial Example,"Minhao Cheng,
 Unveiling the Latent Space Geometry of Push-Forward Generative Models,"Thibaut Issenhuth, Ugo Tanielian, Jeremie Mary, David Picard",http://arxiv.org/abs/2207.10541,,https://huggingface.co/papers/2207.10541,,,,2207.10541,4,1
 Investigating the Role of Model-Based Learning in Exploration and Transfer,"Jacob C Walker, Eszter Vértes, Yazhe Li, Gabriel Dulac-Arnold, Ankesh Anand, Jessica Hamrick, Theophane Weber",http://arxiv.org/abs/2302.04009,,https://huggingface.co/papers/2302.04009,,,,2302.04009,7,0
 "Differential Privacy, Linguistic Fairness, and Training Data Influence: Impossibility and Possibility Theorems for Multilingual Language Models","Phillip Rust, Anders Søgaard",,,,,,,,,
-Provable Copyright Protection for Generative Models,"Nikhil Vyas, Sham Kakade, Boaz Barak",http://arxiv.org/abs/2302.10870,,https://huggingface.co/papers/2302.10870,,,,2302.10870,3,0
+Provable Copyright Protection for Generative Models,"Nikhil Vyas, Sham Kakade, Boaz Barak",http://arxiv.org/abs/2302.10870,,https://huggingface.co/papers/2302.10870,,,,2302.10870,3,1
 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",,,,,,,,,
@@ -717,7 +717,7 @@ Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts
 DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning,"Zifeng Wang, Zheng Zhan, Yifan Gong, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, Jennifer Dy",http://arxiv.org/abs/2305.00380,,https://huggingface.co/papers/2305.00380,,,,2305.00380,7,0
 Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling,"Arka Daw, Jie Bu, Sifan Wang, Paris Perdikaris, Anuj Karpatne",http://arxiv.org/abs/2207.02338,,https://huggingface.co/papers/2207.02338,,,,2207.02338,5,0
 Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models,"Nikolaos Dimitriadis, Pascal Frossard, François Fleuret",http://arxiv.org/abs/2210.09759,,https://huggingface.co/papers/2210.09759,,,,2210.09759,3,0
-Approximate Stein Classes for Truncated Density Estimation,"Daniel J. Williams, Song Liu",http://arxiv.org/abs/2306.00602,,https://huggingface.co/papers/2306.00602,,,,2306.00602,2,0
+Approximate Stein Classes for Truncated Density Estimation,"Daniel J. Williams, Song Liu",http://arxiv.org/abs/2306.00602,,https://huggingface.co/papers/2306.00602,,,,2306.00602,2,1
 Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti's Theorem for Markov Chains,"Buddhika Nettasinghe, Samrat Chatterjee, Ramakrishna Tipireddy, Mahantesh Halappanavar",http://arxiv.org/abs/2210.02271,,https://huggingface.co/papers/2210.02271,,,,2210.02271,4,0
 Generative Decoding of Visual Stimuli,"Eleni Miliotou, Panagiotis Kyriakis, Jason Hinman, Andrei Irimia, Paul Bogdan",,,,,,,,,
 Training-Free Neural Active Learning with Initialization-Robustness Guarantees,"Apivich Hemachandra, Zhongxiang Dai, Jasraj Singh, See-Kiong Ng, Bryan Kian Hsiang Low",http://arxiv.org/abs/2306.04454,,https://huggingface.co/papers/2306.04454,,,,2306.04454,5,0
@@ -769,7 +769,7 @@ On the Convergence Rates of Policy Gradient Methods,Lin Xiao,,,,,,,,,
 Generating Private Synthetic Data with Genetic Algorithms,"Terrance Liu, Jingwu Tang, Giuseppe Vietri, Steven Wu",http://arxiv.org/abs/2306.03257,,https://huggingface.co/papers/2306.03257,,,,2306.03257,4,0
 E$(n)$ Equivariant Message Passing Simplicial Networks,"Floor Eijkelboom, Rob Hesselink, Erik Bekkers",,,,,,,,,
 Tensor Decompositions Meet Control Theory: Learning General Mixtures of Linear Dynamical Systems,"Ainesh Bakshi, Allen Liu, Ankur Moitra, morris yau",,,,,,,,,
-Counterfactual Identifiability of Bijective Causal Models,"Arash Nasr-Esfahany, Mohammad Alizadeh, Devavrat Shah",http://arxiv.org/abs/2302.02228,,https://huggingface.co/papers/2302.02228,,,,2302.02228,3,0
+Counterfactual Identifiability of Bijective Causal Models,"Arash Nasr-Esfahany, Mohammad Alizadeh, Devavrat Shah",http://arxiv.org/abs/2302.02228,,https://huggingface.co/papers/2302.02228,,,,2302.02228,3,1
 Bridging the Gap between Neural and Classical Approaches in Abstract Geometric Reasoning with Attention-based Lattice Symmetry Priors,"Mattia Atzeni, Mrinmaya Sachan, Andreas Loukas",,,,,,,,,
 Linear Causal Disentanglement via Interventions,"Chandler Squires, Anna Seigal, Salil Bhate, Caroline Uhler",http://arxiv.org/abs/2211.16467,,https://huggingface.co/papers/2211.16467,,,,2211.16467,4,0
 abess: A Fast Best-Subset Selection Library in Python and R,"Jin Zhu, Xueqin Wang, Liyuan Hu, Junhao Huang, Kangkang Jiang, Yanhang Zhang, Shiyun Lin, Junxian Zhu",,,,,,,,,
@@ -798,7 +798,7 @@ End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergenc
 Low Complexity Homeomorphic Projection to Ensure Neural-Network Solution Feasibility for Optimization over (Non-)Convex Set,"Enming Liang, Minghua Chen, Steven Low",,,,,,,,,
 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
+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,,,,2305.17498,2,1
 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",,,,,,,,,
@@ -842,7 +842,7 @@ Auxiliary Learning as an Asymmetric Bargaining Game,"Aviv Shamsian, Aviv Navon,
 The Unreasonable Effectiveness of Few-shot Learning for Machine Translation,"Xavier Garcia, Yamini Bansal, Colin Cherry, George Foster, Maxim Krikun, Melvin Johnson, Orhan Firat",http://arxiv.org/abs/2302.01398,,https://huggingface.co/papers/2302.01398,,,,2302.01398,8,0
 From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks,"Cai Zhou, Xiyuan Wang, Muhan Zhang",http://arxiv.org/abs/2305.04963,,https://huggingface.co/papers/2305.04963,,,,2305.04963,3,0
 Optimizing the Collaboration Structure in Cross-Silo Federated Learning,"Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He",http://arxiv.org/abs/2306.06508,,https://huggingface.co/papers/2306.06508,,,,2306.06508,4,0
-Adaptive Whitening in Neural Populations with Gain-modulating Interneurons,"Lyndon Duong, David Lipshutz, David Heeger, Dmitri Chklovskii, Eero Simoncelli",http://arxiv.org/abs/2301.11955,,https://huggingface.co/papers/2301.11955,,,,2301.11955,5,0
+Adaptive Whitening in Neural Populations with Gain-modulating Interneurons,"Lyndon Duong, David Lipshutz, David Heeger, Dmitri Chklovskii, Eero Simoncelli",http://arxiv.org/abs/2301.11955,,https://huggingface.co/papers/2301.11955,,,,2301.11955,5,1
 Identifiability and Generalizability in Constrained Inverse Reinforcement Learning,"Andreas Schlaginhaufen, Maryam Kamgarpour",http://arxiv.org/abs/2306.00629,,https://huggingface.co/papers/2306.00629,,,,2306.00629,2,0
 Towards Constituting Mathematical Structures for Learning to Optimize,"Jialin Liu, Xiaohan Chen, Zhangyang “Atlas” Wang, Wotao Yin, HanQin Cai",http://arxiv.org/abs/2305.18577,,https://huggingface.co/papers/2305.18577,,,,2305.18577,5,0
 Hyperparameters in Reinforcement Learning and How To Tune Them,"Theresa Eimer, Marius Lindauer, Roberta Raileanu",http://arxiv.org/abs/2306.01324,https://github.com/facebookresearch/how-to-autorl,https://huggingface.co/papers/2306.01324,,,,2306.01324,3,0
@@ -859,11 +859,11 @@ Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approxi
 FARE: Provably Fair Representation Learning with Practical Certificates,"Nikola Jovanović, Mislav Balunovic, Dimitar I. Dimitrov, Martin Vechev",http://arxiv.org/abs/2210.07213,,https://huggingface.co/papers/2210.07213,,,,2210.07213,4,0
 Fast Federated Machine Unlearning with Nonlinear Functional Theory,"Tianshi Che, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Ji Liu, Da Yan, Dejing Dou, Jun Huan",,,,,,,,,
 Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator,"Sicheng Zhu, Bang An, Furong Huang, Sanghyun Hong",,,,,,,,,
-Task-Specific Skill Localization in Fine-tuned Language Models,"Abhishek Panigrahi, Nikunj Saunshi, Haoyu Zhao, Sanjeev Arora",http://arxiv.org/abs/2302.06600,,https://huggingface.co/papers/2302.06600,,,,2302.06600,4,0
+Task-Specific Skill Localization in Fine-tuned Language Models,"Abhishek Panigrahi, Nikunj Saunshi, Haoyu Zhao, Sanjeev Arora",http://arxiv.org/abs/2302.06600,,https://huggingface.co/papers/2302.06600,,,,2302.06600,4,1
 Learning Optimal Group-structured Individualized Treatment Rules with Many Treatments,"Haixu Ma, Donglin Zeng, Yufeng Liu",,,,,,,,,
 Dynamic IMLE for Few-shot Pretraining-free Generative Modelling,"Mehran Aghabozorgi, Shichong Peng, Ke Li",,,,,,,,,
 Subset-Based Instance Optimality in Private Estimation,"Travis Dick, Alex Kulesza, Ziteng Sun, Ananda Suresh",http://arxiv.org/abs/2303.01262,,https://huggingface.co/papers/2303.01262,,,,2303.01262,4,0
-How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding,"Yuchen Li, Yuanzhi Li, Andrej Risteski",http://arxiv.org/abs/2303.04245,,https://huggingface.co/papers/2303.04245,,,,2303.04245,3,0
+How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding,"Yuchen Li, Yuanzhi Li, Andrej Risteski",http://arxiv.org/abs/2303.04245,,https://huggingface.co/papers/2303.04245,,,,2303.04245,3,1
 DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm,"Lisang Ding, Kexin Jin, Bicheng Ying, Kun Yuan, Wotao Yin",,,,,,,,,
 Conformal Prediction with Missing Values,"Margaux Zaffran, Aymeric Dieuleveut, Julie Josse, Yaniv Romano",http://arxiv.org/abs/2306.02732,,https://huggingface.co/papers/2306.02732,,,,2306.02732,4,0
 Sparse Learning of Dynamical Systems in RKHS: An Operator-Theoretic Approach,"Boya Hou, Sina Sanjari, Nathan Dahlin, Subhonmesh Bose, Umesh Vaidya",,,,,,,,,
@@ -872,7 +872,7 @@ Cut your Losses with Squentropy,"Like Hui, Misha Belkin, Stephen Wright",http://
 Multi-Agent Learning from Learners,"MINE M CALISKAN, Francesco Chini, Setareh Maghsudi",,,,,,,,,
 Oracles and Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning,"Matthias Gerstgrasser, David Parkes",,,,,,,,,
 Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees,"Faisal Hamman, Erfaun Noorani, Saumitra Mishra, Daniele Magazzeni, Sanghamitra Dutta",http://arxiv.org/abs/2305.11997,,https://huggingface.co/papers/2305.11997,,,,2305.11997,5,0
-Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables,"Rick Wilming, Leo Kieslich, Benedict Clark, Stefan Haufe",http://arxiv.org/abs/2306.01464,,https://huggingface.co/papers/2306.01464,,,,2306.01464,4,0
+Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables,"Rick Wilming, Leo Kieslich, Benedict Clark, Stefan Haufe",http://arxiv.org/abs/2306.01464,,https://huggingface.co/papers/2306.01464,,,,2306.01464,4,1
 When do Minimax-fair Learning and Empirical Risk Minimization Coincide?,"Harvineet Singh, Matthäus Kleindessner, Volkan Cevher, Rumi Chunara, Chris Russell",,,,,,,,,
 Semi-Autoregressive Energy Flows: Towards Determinant-Free Training of Normalizing Flows ,"Phillip Si, Zeyi Chen, Subham S Sahoo, Yair Schiff, Volodymyr Kuleshov",,,,,,,,,
 Global optimality of Elman-type RNNs in the mean-field regime,"Andrea Agazzi, Andrea Agazzi, Jianfeng Lu, Sayan Mukherjee",,,,,,,,,
@@ -914,11 +914,11 @@ Improved Learning-Augmented Algorithms for the Multi-Option Ski Rental Problem v
 Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks,"Yijia Weng, Kaichun Mo, Ruoxi Shi, Yanchao Yang, Leonidas Guibas",,,,,,,,,
 The Hessian perspective into the Nature of Convolutional Neural Networks,"Sidak Pal Singh, Thomas Hofmann, Bernhard Schölkopf",http://arxiv.org/abs/2305.09088,,https://huggingface.co/papers/2305.09088,,,,2305.09088,3,0
 MultiresNet: Sequence Modeling with Multiresolution Convolutional Memory,"Jiaxin Shi, Ke Alexander Wang, Emily Fox",,,,,,,,,
-Unsupervised Out-of-Distribution Detection with Diffusion Inpainting,"Zhenzhen Liu, Jin Zhou, Yufan Wang, Kilian Weinberger",http://arxiv.org/abs/2302.10326,,https://huggingface.co/papers/2302.10326,,,,2302.10326,4,0
+Unsupervised Out-of-Distribution Detection with Diffusion Inpainting,"Zhenzhen Liu, Jin Zhou, Yufan Wang, Kilian Weinberger",http://arxiv.org/abs/2302.10326,,https://huggingface.co/papers/2302.10326,,,,2302.10326,4,1
 Are Neurons Actually Collapsed? On the Fine-Grained Structure in Neural Representations,"Yongyi Yang, Jacob Steinhardt, Wei Hu",,,,,,,,,
 Contextual Reliability: When Different Features Matter in Different Contexts,"Gaurav Ghosal, Amrith Setlur, Daniel S Brown, Anca Dragan, Aditi Raghunathan",,,,,,,,,
 On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network,"Shijun Zhang, Jianfeng Lu, Hongkai Zhao",http://arxiv.org/abs/2301.12353,,https://huggingface.co/papers/2301.12353,,,,2301.12353,3,0
-Towards Sustainable Learning: Coresets for Data-efficient Deep Learning,"Yu Yang, Hao Kang, Baharan Mirzasoleiman",http://arxiv.org/abs/2306.01244,,https://huggingface.co/papers/2306.01244,,,,2306.01244,3,0
+Towards Sustainable Learning: Coresets for Data-efficient Deep Learning,"Yu Yang, Hao Kang, Baharan Mirzasoleiman",http://arxiv.org/abs/2306.01244,,https://huggingface.co/papers/2306.01244,,,,2306.01244,3,1
 Domain Adaptation for Time Series Under Feature and Label Shifts,"Huan He, Owen Queen, Teddy Koker, Consuelo Cuevas, Theodoros Tsiligkaridis, Marinka Zitnik",http://arxiv.org/abs/2302.03133,,https://huggingface.co/papers/2302.03133,,,,2302.03133,6,0
 Can Neural Network Memorization Be Localized?,"Pratyush Maini, Michael Mozer, Hanie Sedghi, Zachary Lipton, Zico Kolter, Chiyuan Zhang",,,,,,,,,
 Differentiable Tree Operations Promote Compositional Generalization,"Paul Soulos, Edward Hu, Kate McCurdy, Yunmo Chen, Roland Fernandez, Paul Smolensky, Jianfeng Gao",http://arxiv.org/abs/2306.00751,,https://huggingface.co/papers/2306.00751,,,,2306.00751,7,0
@@ -976,7 +976,7 @@ Exponential Smoothing for Off-Policy Learning,"Imad AOUALI, Victor-Emmanuel Brun
 On the Statistical Benefits of Temporal Difference Learning,"David Cheikhi, Daniel Russo",http://arxiv.org/abs/2301.13289,,https://huggingface.co/papers/2301.13289,,,,2301.13289,2,0
 Bayes-optimal Learning of Deep Random Networks of Extensive-width,"Hugo Cui, FLORENT KRZAKALA, Lenka Zdeborova",,,,,,,,,
 Adapting to game trees in zero-sum imperfect information games,"Côme Fiegel, Pierre Menard, Tadashi Kozuno, Remi Munos, Vianney Perchet, Michal Valko",http://arxiv.org/abs/2212.12567,,https://huggingface.co/papers/2212.12567,,,,2212.12567,6,0
-Adversarial Policies Beat Superhuman Go AIs,"Tony Wang, Adam Gleave, Tom Tseng, Nora Belrose, Kellin Pelrine, Joseph Miller, Michael Dennis, Yawen Duan, Viktor Pogrebniak, Sergey Levine, Stuart Russell",http://arxiv.org/abs/2211.00241,,https://huggingface.co/papers/2211.00241,,,,2211.00241,11,0
+Adversarial Policies Beat Superhuman Go AIs,"Tony Wang, Adam Gleave, Tom Tseng, Nora Belrose, Kellin Pelrine, Joseph Miller, Michael Dennis, Yawen Duan, Viktor Pogrebniak, Sergey Levine, Stuart Russell",http://arxiv.org/abs/2211.00241,,https://huggingface.co/papers/2211.00241,,,,2211.00241,11,1
 Pretraining Language Models with Human Preferences,"Tomasz Korbak, Kejian Shi, Angelica Chen, Rasika Bhalerao, Christopher Buckley, Jason Phang, Samuel Bowman, Ethan Perez",http://arxiv.org/abs/2302.08582,,https://huggingface.co/papers/2302.08582,,,,2302.08582,8,1
 Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples,"Chumeng Liang, Xiaoyu Wu, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui XUE, Ruhui Ma, Haibing Guan",http://arxiv.org/abs/2302.04578,https://github.com/mist-project/mist.git,https://huggingface.co/papers/2302.04578,,,,2302.04578,9,0
 A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs,"Mikael Henaff, Minqi Jiang, Roberta Raileanu",http://arxiv.org/abs/2306.03236,,https://huggingface.co/papers/2306.03236,,,,2306.03236,3,0
@@ -1023,19 +1023,19 @@ Continuation Path Learning for Homotopy Optimization,"Xi Lin, Zhiyuan Yang, Xiao
 "Inflow, Outflow, and Reciprocity in Machine Learning","Mukund Sundararajan, Walid Krichene",,,,,,,,,
 Transformers Learn In-Context by Gradient Descent,"Johannes Von Oswald, Eyvind Niklasson, Ettore Randazzo, Joao Sacramento, Alexander Mordvintsev, Andrey Zhmoginov, Max Vladymyrov",http://arxiv.org/abs/2212.07677,https://github.com/google-research/self-organising-systems/tree/master/transformers_learn_icl_by_gd,https://huggingface.co/papers/2212.07677,,,,2212.07677,7,0
 When Personalization Harms Performance: Reconsidering the Use of Group Attributes in Prediction,"Vinith Suriyakumar, Marzyeh Ghassemi, Berk Ustun",,,,,,,,,
-Evaluating Self-Supervised Learning via Risk Decomposition,"Yann Dubois, Tatsunori Hashimoto, Percy Liang",http://arxiv.org/abs/2302.03068,https://github.com/YannDubs/SSL-Risk-Decomposition,https://huggingface.co/papers/2302.03068,,,,2302.03068,3,0
-Graphically Structured Diffusion Models,"Christian Weilbach, William Harvey, Frank Wood",http://arxiv.org/abs/2210.11633,,https://huggingface.co/papers/2210.11633,,,,2210.11633,3,0
+Evaluating Self-Supervised Learning via Risk Decomposition,"Yann Dubois, Tatsunori Hashimoto, Percy Liang",http://arxiv.org/abs/2302.03068,https://github.com/YannDubs/SSL-Risk-Decomposition,https://huggingface.co/papers/2302.03068,,,,2302.03068,3,1
+Graphically Structured Diffusion Models,"Christian Weilbach, William Harvey, Frank Wood",http://arxiv.org/abs/2210.11633,,https://huggingface.co/papers/2210.11633,,,,2210.11633,3,1
 Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees.,"Ioannis Panageas, EFSTRATIOS PANTELEIMON SKOULAKIS, Luca Viano, Xiao Wang, Volkan Cevher",,,,,,,,,
-DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature,"Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher Manning, Chelsea Finn",http://arxiv.org/abs/2301.11305,,https://huggingface.co/papers/2301.11305,,,,2301.11305,5,0
+DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature,"Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher Manning, Chelsea Finn",http://arxiv.org/abs/2301.11305,,https://huggingface.co/papers/2301.11305,,,,2301.11305,5,1
 RankMe: Assessing the Downstream Performance of Pretrained Self-Supervised Representations by Their Rank,"Quentin Garrido, Randall Balestriero, Laurent Najman, Yann LeCun",http://arxiv.org/abs/2210.02885,,https://huggingface.co/papers/2210.02885,,,,2210.02885,4,0
 Self-Interpretable Time Series Prediction with Counterfactual Explanations,"Jingquan Yan, Hao Wang",http://arxiv.org/abs/2306.06024,,https://huggingface.co/papers/2306.06024,,,,2306.06024,2,0
 H-Likelihood Approach to Deep Neural Networks  with Temporal-Spatial Random Effects for High-Cardinality Categorical Features,"Hangbin Lee, Youngjo Lee",,,,,,,,,
-Uncertain Evidence in Probabilistic Models and Stochastic Simulators,"Andreas Munk, Alexander Mead, Frank Wood",http://arxiv.org/abs/2210.12236,,https://huggingface.co/papers/2210.12236,,,,2210.12236,3,0
+Uncertain Evidence in Probabilistic Models and Stochastic Simulators,"Andreas Munk, Alexander Mead, Frank Wood",http://arxiv.org/abs/2210.12236,,https://huggingface.co/papers/2210.12236,,,,2210.12236,3,1
 On the Effectiveness of Offline RL for Dialogue Response Generation,"Paloma Sodhi, Felix Wu, Ethan Elenberg, Kilian Weinberger, Ryan Mcdonald",,,,,,,,,
 Multi-Environment Pretraining Enables Transfer to Action Limited Datasets,"David Venuto, Mengjiao Yang, Pieter Abbeel, Doina Precup, Igor Mordatch, Ofir Nachum",http://arxiv.org/abs/2211.13337,,https://huggingface.co/papers/2211.13337,,,,2211.13337,6,0
 Tractable Control for Auto-regressive Language Generation,"Honghua Zhang, Meihua Dang, Nanyun Peng, Guy Van den Broeck",,,,,,,,,
 Stratified Adversarial Robustness with Rejection,"Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyiu Liang, Somesh Jha",http://arxiv.org/abs/2305.01139,,https://huggingface.co/papers/2305.01139,,,,2305.01139,6,0
-Concept-based Explanations for Out-of-Distribution Detectors,"Jihye Choi, Jayaram Raghuram, Ryan Feng, Jiefeng Chen, Somesh Jha, Atul Prakash",http://arxiv.org/abs/2203.02586,,https://huggingface.co/papers/2203.02586,,,,2203.02586,6,0
+Concept-based Explanations for Out-of-Distribution Detectors,"Jihye Choi, Jayaram Raghuram, Ryan Feng, Jiefeng Chen, Somesh Jha, Atul Prakash",http://arxiv.org/abs/2203.02586,,https://huggingface.co/papers/2203.02586,,,,2203.02586,6,1
 SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge,"Mahdi Nikdan, Tommaso Pegolotti, Eugenia Iofinova, Eldar Kurtic, Dan Alistarh",,,,,,,,,
 Achieving Linear Speedup in Non-IID Federated Bilevel Learning,"Minhui Huang, Dewei Zhang, Kaiyi Ji",http://arxiv.org/abs/2302.05412,,https://huggingface.co/papers/2302.05412,,,,2302.05412,3,0
 Learning Dynamic Query Combinations for Transformer-based Object Detection and Segmentation,"Yiming Cui, Linjie Yang, Haichao Yu",,,,,,,,,
@@ -1119,7 +1119,7 @@ Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning,"Brett
 Weakly Supervised Regression with Interval Targets,"Xin Cheng, Yuzhou Cao, Ximing Li, Bo An, LEI FENG",,,,,,,,,
 Regret Bounds for Markov Decision Processes with Recursive Optimized Certainty Equivalents,"WENHAO XU, Xuefeng Gao, Xuedong He",http://arxiv.org/abs/2301.12601,,https://huggingface.co/papers/2301.12601,,,,2301.12601,3,0
 Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity,"Xuxing Chen, Minhui Huang, Shiqian Ma, Krishna Balasubramanian",http://arxiv.org/abs/2210.12839,,https://huggingface.co/papers/2210.12839,,,,2210.12839,4,0
-Optimal randomized multilevel Monte Carlo for repeatedly nested expectations,"Yasa Syed, Guanyang Wang",http://arxiv.org/abs/2301.04095,,https://huggingface.co/papers/2301.04095,,,,2301.04095,2,0
+Optimal randomized multilevel Monte Carlo for repeatedly nested expectations,"Yasa Syed, Guanyang Wang",http://arxiv.org/abs/2301.04095,,https://huggingface.co/papers/2301.04095,,,,2301.04095,2,1
 "Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat","Shantanu Ghosh, Ke Yu, Forough Arabshahi, Kayhan Batmanghelich",,,,,,,,,
 CrossSplit: Mitigating Label Noise Memorization through Data Splitting,"Jihye Kim, Aristide Baratin, Yan Zhang, Simon Lacoste-Julien",http://arxiv.org/abs/2212.01674,,https://huggingface.co/papers/2212.01674,,,,2212.01674,4,0
 On Investigating the Conservative Property of Score-Based Generative Models,"Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Chun-Yi Lee",http://arxiv.org/abs/2209.12753,,https://huggingface.co/papers/2209.12753,,,,2209.12753,4,0
@@ -1166,7 +1166,7 @@ Understanding Plasticity in Neural Networks,"Clare Lyle, Zeyu Zheng, Evgenii Nik
 Thompson Sampling for High-Dimensional Sparse Linear Contextual Bandits,"Sunrit Chakraborty, Saptarshi Roy, Ambuj Tewari",http://arxiv.org/abs/2211.05964,,https://huggingface.co/papers/2211.05964,,,,2211.05964,3,0
 Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction Models,"Harshit Varma, Abhijeet Awasthi, Sunita Sarawagi",,,,,,,,,
 Interval Bound Interpolation for Few-shot Learning with Few Tasks,"Shounak Datta, Sankha Subhra Mullick, Anish Chakrabarty, Swagatam Das",http://arxiv.org/abs/2204.03511,,https://huggingface.co/papers/2204.03511,,,,2204.03511,4,0
-Estimating Causal Effects using a Multi-task Deep Ensemble,"Ziyang Jiang, Zhuoran Hou, Yiling Liu, Yiman Ren, Keyu Li, David Carlson",http://arxiv.org/abs/2301.11351,,https://huggingface.co/papers/2301.11351,,,,2301.11351,6,0
+Estimating Causal Effects using a Multi-task Deep Ensemble,"Ziyang Jiang, Zhuoran Hou, Yiling Liu, Yiman Ren, Keyu Li, David Carlson",http://arxiv.org/abs/2301.11351,,https://huggingface.co/papers/2301.11351,,,,2301.11351,6,1
 Automated Search for Conjectures on Mathematical Constants using Analysis of Integer Sequences,"Ofir Razon, Yoav Harris, Shahar Gottlieb, Dan Carmon, Ofir David, Ido Kaminer",http://arxiv.org/abs/2212.09470,,https://huggingface.co/papers/2212.09470,,,,2212.09470,6,0
 LM-Design: Structure-informed Language Models Are Protein Designers,"Zaixiang Zheng, Yifan Deng, Dongyu Xue, Yi Zhou, Fei YE, Quanquan Gu",,,,,,,,,
 TIDE: Time Derivative Diffusion for Deep Learning on Graphs,"Maximilian Krahn, Maysam Behmanesh, Maks Ovsjanikov",http://arxiv.org/abs/2212.02483,,https://huggingface.co/papers/2212.02483,,,,2212.02483,3,0
@@ -1193,7 +1193,7 @@ Refining Generative Process with Discriminator Guidance in Score-based Diffusion
 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
 Robust Budget Pacing with a Single Sample,"Santiago Balseiro, Rachitesh Kumar, Vahab Mirrokni, Balasubramanian Sivan, Di Wang",http://arxiv.org/abs/2302.02006,,https://huggingface.co/papers/2302.02006,,,,2302.02006,5,0
 Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the Machiavelli Benchmark,"Alexander Pan, Jun Shern Chan, Andy Zou, Nathaniel Li, Scott Emmons, Hanlin Zhang, Steven Basart, Thomas Woodside, Dan Hendrycks",http://arxiv.org/abs/2304.03279,,https://huggingface.co/papers/2304.03279,,,,2304.03279,10,0
-Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?,"Victor Boutin, Thomas FEL, Lakshya Singhal, Rishav Mukherji, Akash Nagaraj, Julien Colin, Thomas Serre",http://arxiv.org/abs/2301.11722,,https://huggingface.co/papers/2301.11722,,,,2301.11722,7,0
+Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?,"Victor Boutin, Thomas FEL, Lakshya Singhal, Rishav Mukherji, Akash Nagaraj, Julien Colin, Thomas Serre",http://arxiv.org/abs/2301.11722,,https://huggingface.co/papers/2301.11722,,,,2301.11722,7,1
 Random Classification Noise does not defeat All Convex Potential Boosters Irrespective of Model Choice,"Yishay Mansour, Richard Nock, Robert C. Williamson",,,,,,,,,
 "Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods","Aleksandr Shevchenko, Kevin Kögler, Hamed Hassani, Marco Mondelli",http://arxiv.org/abs/2212.13468,,https://huggingface.co/papers/2212.13468,,,,2212.13468,4,0
 Mimetic Initialization of Self-Attention Layers,"Asher Trockman, Zico Kolter",http://arxiv.org/abs/2305.09828,,https://huggingface.co/papers/2305.09828,,,,2305.09828,2,0
@@ -1219,7 +1219,7 @@ Knowledge Hypergraph Embedding Meets Relational Algebra,"Bahare Fatemi, Perouz T
 Deep linear networks can benignly overfit when shallow ones do,"Niladri S. Chatterji, Phil Long",http://arxiv.org/abs/2209.09315,,https://huggingface.co/papers/2209.09315,,,,2209.09315,2,0
 Taming graph kernels with random features,Krzysztof Choromanski,http://arxiv.org/abs/2305.00156,,https://huggingface.co/papers/2305.00156,,,,2305.00156,1,0
 On Uni-Modal Feature Learning in Supervised Multi-Modal Learning,"Chenzhuang Du, Jiaye Teng, Tingle Li, Yichen Liu, Tianyuan Yuan, Yue Wang, Yang Yuan, Hang Zhao",http://arxiv.org/abs/2305.01233,,https://huggingface.co/papers/2305.01233,,,,2305.01233,8,0
-CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations,"Gengchen Mai, Ni Lao, Yutong He, Jiaming Song, Stefano Ermon",http://arxiv.org/abs/2305.01118,,https://huggingface.co/papers/2305.01118,,,,2305.01118,5,0
+CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations,"Gengchen Mai, Ni Lao, Yutong He, Jiaming Song, Stefano Ermon",http://arxiv.org/abs/2305.01118,,https://huggingface.co/papers/2305.01118,,,,2305.01118,5,1
 CLIPood: Generalizing CLIP to Out-of-Distributions,"Yang Shu, Xingzhuo Guo, Jialong Wu, Ximei Wang, Jianmin Wang, Mingsheng Long",http://arxiv.org/abs/2302.00864,,https://huggingface.co/papers/2302.00864,,,,2302.00864,6,0
 Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning,"Yu Meng, Martin Michalski, Jiaxin Huang, Yu Zhang, Tarek Abdelzaher, Jiawei Han",http://arxiv.org/abs/2211.03044,,https://huggingface.co/papers/2211.03044,,,,2211.03044,6,1
 Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization,"Jiwoo Son, Minsu Kim, Hyeonah Kim, Jinkyoo Park",,,,,,,,,
@@ -1320,7 +1320,7 @@ Differentiable Simulations for Enhanced Sampling of Rare Events,"Martin Šípka,
 Gaussian processes at the Helm(holtz): A more fluid model for ocean currents,"Renato Berlinghieri, Brian Trippe, David Burt, Ryan Giordano, Kaushik Srinivasan, Tamay Özgökmen, Junfei Xia, Tamara Broderick",http://arxiv.org/abs/2302.10364,,https://huggingface.co/papers/2302.10364,,,,2302.10364,8,0
 Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons,"Rasmus Kjær Høier, D. Staudt, Christopher Zach",http://arxiv.org/abs/2302.01228,,https://huggingface.co/papers/2302.01228,,,,2302.01228,3,0
 Quantized Distributed Training of Large Models with Convergence Guarantees,"Ilia Markov, Adrian Vladu, Qi Guo, Dan Alistarh",http://arxiv.org/abs/2302.02390,,https://huggingface.co/papers/2302.02390,,,,2302.02390,4,0
-SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models,"Guangxuan Xiao, Ji Lin, Mickael Seznec, Hao Wu, Julien Demouth, Song Han",http://arxiv.org/abs/2211.10438,https://github.com/mit-han-lab/smoothquant,https://huggingface.co/papers/2211.10438,,,,2211.10438,6,0
+SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models,"Guangxuan Xiao, Ji Lin, Mickael Seznec, Hao Wu, Julien Demouth, Song Han",http://arxiv.org/abs/2211.10438,https://github.com/mit-han-lab/smoothquant,https://huggingface.co/papers/2211.10438,,,,2211.10438,6,1
 Efficiently predicting high resolution mass spectra with graph neural networks,"Michael Murphy, Stefanie Jegelka, Ernest Fraenkel, Tobias Kind, David Healey, Thomas Butler",http://arxiv.org/abs/2301.11419,,https://huggingface.co/papers/2301.11419,,,,2301.11419,6,0
 Learning to Design Analog Circuits to Meet Threshold Specifications,"Dmitrii Krylov, Pooya Khajeh, Junhan Ouyang, Thomas Reeves, Tongkai Liu, Hiba Ajmal, Hamidreza Aghasi, Roy Fox",,,,,,,,,
 Can Large Language Models Reason about Program Behavior?,"Kexin Pei, David Bieber, Kensen Shi, Charles Sutton, Pengcheng Yin",,,,,,,,,
@@ -1348,7 +1348,7 @@ Graph Positional Encoding via Random Feature Propagation,"Moshe Eliasof, Fabrizi
 Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering,"Mingqi Yang, Wenjie Feng, Yanming Shen, Bryan Hooi",http://arxiv.org/abs/2305.06102,https://github.com/qslim/PDF,https://huggingface.co/papers/2305.06102,,,,2305.06102,4,0
 Local Vertex Colouring Graph Neural Networks,"Shouheng Li, Dongwoo Kim, Qing Wang",,,,,,,,,
 Composer: Creative and Controllable Image Synthesis with Composable Conditions,"Lianghua Huang, Di Chen, Yu Liu, Yujun Shen, Deli Zhao, Jingren Zhou",http://arxiv.org/abs/2302.09778,,https://huggingface.co/papers/2302.09778,,,,2302.09778,6,0
-Transformers Meet Directed Graphs,"Simon Markus Geisler, Yujia Li, Daniel Mankowitz, Taylan Cemgil, Stephan Günnemann, Cosmin Paduraru",http://arxiv.org/abs/2302.00049,,https://huggingface.co/papers/2302.00049,,,,2302.00049,6,0
+Transformers Meet Directed Graphs,"Simon Markus Geisler, Yujia Li, Daniel Mankowitz, Taylan Cemgil, Stephan Günnemann, Cosmin Paduraru",http://arxiv.org/abs/2302.00049,,https://huggingface.co/papers/2302.00049,,,,2302.00049,6,1
 Robust Camera Pose Refinement for Multi-Resolution Hash Encoding,"Hwan Heo, Taekyung Kim, Jiyoung Lee, Jaewon Lee, Soohyun Kim, Hyunwoo Kim, Jin-Hwa Kim",http://arxiv.org/abs/2302.01571,,https://huggingface.co/papers/2302.01571,,,,2302.01571,7,0
 Enforcing Hard Constraints with Soft Barriers: Safe-driven Reinforcement Learning in Unknown Stochastic Environments,"Yixuan Wang, Simon Zhan, Ruochen Jiao, Zhilu Wang, Wanxin Jin, Zhuoran Yang, Zhaoran Wang, Chao Huang, Qi Zhu",,,,,,,,,
 Causal Structure Learning for Latent Intervened Non-stationary Data,"Chenxi Liu, Kun Kuang",,,,,,,,,
@@ -1448,9 +1448,9 @@ Change is Hard: A Closer Look at Subpopulation Shift,"Yuzhe Yang, Haoran Zhang,
 X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusion,"Hanqing Zhao, Dianmo Sheng, Jianmin Bao, Dongdong Chen, Dong Chen, Fang Wen, Lu Yuan, Ce Liu, Wenbo Zhou, Qi Chu, Weiming Zhang, Nenghai Yu",,,,,,,,,
 Never mind the metrics---what about the uncertainty? Visualising confusion matrix metric distributions,"David Lovell, Dimity Miller, Jaiden Capra, Andrew Bradley",,,,,,,,,
 Uncertainty Estimation for Molecules: Desiderata and Methods,"Tom Wollschläger, Nicholas Gao, Bertrand Charpentier, Mohamed Amine Ketata, Stephan Günnemann",,,,,,,,,
-Reliable Measures of Spread in High Dimensional Latent Spaces,"Anna Marbut, Travis Wheeler, Katy McKinney-Bock",http://arxiv.org/abs/2212.08172,,https://huggingface.co/papers/2212.08172,,,,2212.08172,3,0
+Reliable Measures of Spread in High Dimensional Latent Spaces,"Anna Marbut, Travis Wheeler, Katy McKinney-Bock",http://arxiv.org/abs/2212.08172,,https://huggingface.co/papers/2212.08172,,,,2212.08172,3,1
 Attributing Image Generative Models using Latent Fingerprints,"Guangyu Nie, Changhoon Kim, 'YZ' Yezhou Yang, Yi Ren",http://arxiv.org/abs/2304.09752,,https://huggingface.co/papers/2304.09752,,,,2304.09752,4,1
-Towards Explaining Distribution Shifts,"Sean Kulinski, David I. Inouye",http://arxiv.org/abs/2210.10275,,https://huggingface.co/papers/2210.10275,,,,2210.10275,2,0
+Towards Explaining Distribution Shifts,"Sean Kulinski, David I. Inouye",http://arxiv.org/abs/2210.10275,,https://huggingface.co/papers/2210.10275,,,,2210.10275,2,1
 SurProGenes: Survival Risk-Ordered Representation of Cancer Patients and Genes for the Identification of Prognostic Genes,"Junetae Kim, Kyoungsuk Park, Hanseok Jeong, Youngwook Kim, Jeongseon Kim, Sun-Young Kim",,,,,,,,,
 Topological Point Cloud Clustering,"Vincent Grande, Michael Schaub",http://arxiv.org/abs/2303.16716,,https://huggingface.co/papers/2303.16716,,,,2303.16716,2,0
 On the Forward Invariance of Neural ODEs,"Wei Xiao, Tsun-Hsuan Wang, Ramin Hasani, Mathias Lechner, Yutong Ban, Chuang Gan, Daniela Rus",http://arxiv.org/abs/2210.04763,,https://huggingface.co/papers/2210.04763,,,,2210.04763,7,0
@@ -1687,7 +1687,7 @@ Making Transformers Compute-lite for CPU inference,"Zhanpeng Zeng, Michael Davie
 Lookahead When It Matters: Adaptive Non-causal Transformers for Streaming Neural Transducers,"Grant Strimel, Yi Xie, Brian King, martin radfar, Ariya Rastrow, Athanasios Mouchtaris",http://arxiv.org/abs/2305.04159,,https://huggingface.co/papers/2305.04159,,,,2305.04159,6,0
 Expected Gradients of Maxout Networks and Consequences to Parameter Initialization,"Hanna Tseran, Guido Montufar",http://arxiv.org/abs/2301.06956,,https://huggingface.co/papers/2301.06956,,,,2301.06956,2,0
 Competing for Shareable Arms in Multi-Player Multi-Armed Bandits,"Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui",http://arxiv.org/abs/2305.19158,,https://huggingface.co/papers/2305.19158,,,,2305.19158,5,1
-Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs,"Raif Rustamov, Subhabrata Majumdar",http://arxiv.org/abs/2010.15285,,https://huggingface.co/papers/2010.15285,,,,2010.15285,2,0
+Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs,"Raif Rustamov, Subhabrata Majumdar",http://arxiv.org/abs/2010.15285,,https://huggingface.co/papers/2010.15285,,,,2010.15285,2,1
 Coordinated Dynamic Bidding in Repeated Second-Price Auctions with Budgets,"Yurong Chen, Zhaohua Chen, Xiaotie Deng, Zhijian Duan, Haoran Sun, Qian Wang, Xiang Yan",http://arxiv.org/abs/2306.07709,,https://huggingface.co/papers/2306.07709,,,,2306.07709,7,0
 Causal Modeling of Policy Interventions From Sequences of Treatments and Outcomes using Gaussian Processes,"Çağlar Hızlı, ST John, Anne Juuti, Tuure Saarinen, Kirsi Pietiläinen, Pekka Marttinen",,,,,,,,,
 A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems,"Oliver Slumbers, David Mguni, Stephen Mcaleer, Stefano Blumberg, Yaodong Yang, Jun Wang",http://arxiv.org/abs/2205.15434,,https://huggingface.co/papers/2205.15434,,,,2205.15434,6,0
@@ -1788,7 +1788,7 @@ Discover and Cure: Concept-aware Mitigation of Spurious Correlation,"Yingxin Wu,
 DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization,"Adel Nabli, Edouard Oyallon",http://arxiv.org/abs/2208.00779,,https://huggingface.co/papers/2208.00779,,,,2208.00779,2,0
 DoCoFL: Downlink Compression for Cross-Device Federated Learning,"Ron Dorfman, Shay Vargaftik, Yaniv Ben Itzhak, Kfir Levy",,,,,,,,,
 Compositional Exemplars for In-context Learning,"Jiacheng Ye, Zhiyong Wu, Jiangtao Feng, Tao Yu, Lingpeng Kong",http://arxiv.org/abs/2302.05698,https://github.com/HKUNLP/icl-ceil,https://huggingface.co/papers/2302.05698,,,,2302.05698,5,0
-Generating Language Corrections for Teaching Physical Control Tasks,"Megha Srivastava, Noah Goodman, Dorsa Sadigh",http://arxiv.org/abs/2306.07012,,https://huggingface.co/papers/2306.07012,,,,2306.07012,3,0
+Generating Language Corrections for Teaching Physical Control Tasks,"Megha Srivastava, Noah Goodman, Dorsa Sadigh",http://arxiv.org/abs/2306.07012,,https://huggingface.co/papers/2306.07012,,,,2306.07012,3,1
 Does Continual Learning Equally Forget All Parameters?,"Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang",http://arxiv.org/abs/2304.04158,,https://huggingface.co/papers/2304.04158,,,,2304.04158,5,1
 Sequential Changepoint Detection via Backward Confidence Sequences,"Shubhanshu Shekhar, Aaditya Ramdas",,,,,,,,,
 simple diffusion: End-to-end diffusion for high resolution images,"Emiel Hoogeboom, Jonathan Heek, Tim Salimans",http://arxiv.org/abs/2301.11093,,https://huggingface.co/papers/2301.11093,,,,2301.11093,3,0