Update

papers.csv

@@ -46,14 +46,14 @@ Optimal Arms Identification with Knapsacks,"Shaoang Li, Lan Zhang, Yingqi Yu, Xi
 Continual Learners are Incremental Model Generalizers,"Jaehong Yoon, Sung Ju Hwang, Yue Cao",,,,,,,,,
 From Hypergraph Energy Functions to Hypergraph Neural Networks,"Yuxin Wang, Quan Gan, Xipeng Qiu, Xuanjing Huang, David Wipf",http://arxiv.org/abs/2306.09623,https://github.com/yxzwang/PhenomNN,https://huggingface.co/papers/2306.09623,,,,2306.09623,5,0
 Fundamental Tradeoffs in Learning with Prior Information,Anirudha Majumdar,http://arxiv.org/abs/2304.13479,,https://huggingface.co/papers/2304.13479,,,,2304.13479,1,0
-ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation,"Kaiwen Zhou, Kaizhi Zheng, Connor Pryor, Yilin Shen, Hongxia Jin, Lise Getoor, Xin Eric Wang",http://arxiv.org/abs/2301.13166,,https://huggingface.co/papers/2301.13166,,,,2301.13166,7,0
+ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation,"Kaiwen Zhou, Kaizhi Zheng, Connor Pryor, Yilin Shen, Hongxia Jin, Lise Getoor, Xin Eric Wang",http://arxiv.org/abs/2301.13166,,https://huggingface.co/papers/2301.13166,,,,2301.13166,7,1
 Tight and fast generalization error bound of graph embedding in metric space.,"Atsushi Suzuki, Atsushi Nitanda, Taiji Suzuki, Jing Wang, Feng Tian, Kenji Yamanishi",,,,,,,,,
 Two-Scale Gradient Descent Ascent Dynamics Finds Mixed Nash Equilibria of Continuous Games: A Mean-Field Perspective,Yulong Lu,http://arxiv.org/abs/2212.08791,,https://huggingface.co/papers/2212.08791,,,,2212.08791,1,0
 "Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation","Wenqing Zheng, S P Sharan, Ajay Jaiswal, Kevin Wang, Yihan Xi, Dejia Xu, Zhangyang “Atlas” Wang",http://arxiv.org/abs/2305.00909,https://github.com/VITA-Group/ChainCoder,https://huggingface.co/papers/2305.00909,,,,2305.00909,7,3
 Scaling of Class-wise Training Losses for Post-hoc Calibration,"Seungjin Jung, Seungmo Seo, Yonghyun Jeong, Jongwon Choi",,,,,,,,,
 SpeedDETR: Speed-aware Transformers for End-to-end Object Detection,"Peiyan Dong, Zhenglun Kong, Xin Meng, PENG ZHANG, hao tang, Yanzhi Wang, Chih-Hsien Chou",,,,,,,,,
 Learning to Decouple Complex Systems,"Zihan Zhou, Tianshu Yu",http://arxiv.org/abs/2302.01581,,https://huggingface.co/papers/2302.01581,,,,2302.01581,2,0
-Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice,"Toshinori Kitamura, Tadashi Kozuno, Yunhao Tang, Nino Vieillard, Michal Valko, Wenhao Yang, Jincheng Mei, Pierre Menard, Mohammad Gheshlaghi Azar, Remi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvari, Wataru Kumagai, Yutaka Matsuo",http://arxiv.org/abs/2305.13185,,https://huggingface.co/papers/2305.13185,,,,2305.13185,15,0
+Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice,"Toshinori Kitamura, Tadashi Kozuno, Yunhao Tang, Nino Vieillard, Michal Valko, Wenhao Yang, Jincheng Mei, Pierre Menard, Mohammad Gheshlaghi Azar, Remi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvari, Wataru Kumagai, Yutaka Matsuo",http://arxiv.org/abs/2305.13185,,https://huggingface.co/papers/2305.13185,,,,2305.13185,15,1
 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",,,,,,,,,
@@ -243,7 +243,7 @@ Weakly Supervised Disentangled Generative Causal Representation Learning,"Xinwei
 Are Diffusion Models Vulnerable to Membership Inference Attacks?,"Jinhao Duan, Fei Kong, Shiqi Wang, Xiaoshuang Shi, Kaidi Xu",http://arxiv.org/abs/2302.01316,https://github.com/jinhaoduan/SecMI,https://huggingface.co/papers/2302.01316,,,,2302.01316,5,0
 Parameter-Level Soft-Masking for Continual Learning,"Tatsuya Konishi, Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu",,,,,,,,,
 ILLUME: Rationalizing Vision-Language Models through Human Interactions,"Manuel Brack, Patrick Schramowski, Björn Deiseroth, Kristian Kersting",http://arxiv.org/abs/2208.08241,,https://huggingface.co/papers/2208.08241,,,,2208.08241,4,2
-MultiRobustBench: Benchmarking Robustness Against Multiple Attacks,"Sihui Dai, Saeed Mahloujifar, Chong Xiang, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal",http://arxiv.org/abs/2302.10980,,https://huggingface.co/papers/2302.10980,,,,2302.10980,6,2
+MultiRobustBench: Benchmarking Robustness Against Multiple Attacks,"Sihui Dai, Saeed Mahloujifar, Chong Xiang, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal",http://arxiv.org/abs/2302.10980,,https://huggingface.co/papers/2302.10980,,,,2302.10980,6,3
 Sequential Kernelized Independence Testing,"Aleksandr Podkopaev, Patrick Bloebaum, Shiva Kasiviswanathan, Aaditya Ramdas",http://arxiv.org/abs/2212.07383,,https://huggingface.co/papers/2212.07383,,,,2212.07383,4,0
 Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation,"Orin Levy, Alon Cohen, Asaf Cassel, Yishay Mansour",http://arxiv.org/abs/2303.01464,,https://huggingface.co/papers/2303.01464,,,,2303.01464,4,0
 Spurious Valleys and Clustering Behavior of Neural Networks,Samuele Pollaci,,,,,,,,,
@@ -285,7 +285,7 @@ Improving Graph Generation by Restricting Graph Bandwidth,"Nathaniel Diamant, Al
 UMD: Unsupervised Model Detection for X2X Backdoor Attacks,"Zhen Xiang, Zidi Xiong, Bo Li",http://arxiv.org/abs/2305.18651,,https://huggingface.co/papers/2305.18651,,,,2305.18651,3,0
 Constraint Reasoning Embedded Structured Prediction,"Nan Jiang, Maosen Zhang, Willem-Jan van Hoeve, Yexiang Xue",,,,,,,,,
 Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation,"Jiaming Song, Qinsheng Zhang, Hongxu Yin, Morteza Mardani, Ming-Yu Liu, Jan Kautz, Yongxin Chen, Arash Vahdat",,,,,,,,,
-Entropy-driven Unsupervised Keypoint Representation Learning in Videos,"Ali Younes, Simone Schaub-Meyer, Georgia Chalvatzaki",http://arxiv.org/abs/2209.15404,,https://huggingface.co/papers/2209.15404,,,,2209.15404,3,0
+Entropy-driven Unsupervised Keypoint Representation Learning in Videos,"Ali Younes, Simone Schaub-Meyer, Georgia Chalvatzaki",http://arxiv.org/abs/2209.15404,,https://huggingface.co/papers/2209.15404,,,,2209.15404,3,1
 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
@@ -348,7 +348,7 @@ Incentivizing Exploration with Linear Contexts and Combinatorial Actions,Mark Se
 Interpretable Neural-Symbolic Concept Reasoning,"Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lió, Frederic Precioso, Mateja Jamnik, Giuseppe Marra",http://arxiv.org/abs/2304.14068,,https://huggingface.co/papers/2304.14068,,,,2304.14068,10,0
 Coordinate Descent Methods for Fractional Minimization,Ganzhao Yuan,http://arxiv.org/abs/2201.12691,,https://huggingface.co/papers/2201.12691,,,,2201.12691,1,0
 Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network,"Yuri Kinoshita, Kenta Oono, Kenji Fukumizu, Yuichi Yoshida, Shin-ichi Maeda",http://arxiv.org/abs/2304.12770,,https://huggingface.co/papers/2304.12770,,,,2304.12770,5,0
-How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control,"Jacopo Teneggi, Matthew Tivnan, Web Stayman, Jeremias Sulam",http://arxiv.org/abs/2302.03791,,https://huggingface.co/papers/2302.03791,,,,2302.03791,4,0
+How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control,"Jacopo Teneggi, Matthew Tivnan, Web Stayman, Jeremias Sulam",http://arxiv.org/abs/2302.03791,,https://huggingface.co/papers/2302.03791,,,,2302.03791,4,1
 On the Stepwise Nature of Self-Supervised Learning,"James B Simon, Maksis Knutins, Liu Ziyin, Daniel Geisz, Abraham Fetterman, Joshua Albrecht",http://arxiv.org/abs/2303.15438,,https://huggingface.co/papers/2303.15438,,,,2303.15438,6,1
 A Kernel-Based View of Language Model Fine-Tuning,"Sadhika Malladi, Alexander Wettig, Dingli Yu, Danqi Chen, Sanjeev Arora",http://arxiv.org/abs/2210.05643,,https://huggingface.co/papers/2210.05643,,,,2210.05643,5,0
 The Impact of Exploration on Convergence and Performance of Multi-Agent Q-Learning Dynamics,"Aamal Hussain, Francesco Belardinelli, Dario Paccagnan",,,,,,,,,
@@ -361,7 +361,7 @@ Learning Deep Time-index Models for Time Series Forecasting,"Gerald Woo, Chengha
 Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning,"gang Ding, Wanpeng Zhang, Junpeng Yue, XJ Wang, Tiejun Huang, Zongqing Lu",http://arxiv.org/abs/2210.13942,,https://huggingface.co/papers/2210.13942,,,,2210.13942,6,0
 Eventual Discounting Temporal Logic Counterfactual Experience Replay,"Cameron Voloshin, Abhinav Verma, Yisong Yue",http://arxiv.org/abs/2303.02135,,https://huggingface.co/papers/2303.02135,,,,2303.02135,3,0
 Achieving Hierarchy-Free Approximation for Bilevel Programs with Equilibrium Constraints,"Jiayang Li, Jing Yu, Boyi Liu, Yu Nie, Zhaoran Wang",http://arxiv.org/abs/2302.09734,,https://huggingface.co/papers/2302.09734,,,,2302.09734,5,0
-Wrapped Cauchy Distributed Angular Softmax for Long-Tailed Visual Recognition,Boran Han,http://arxiv.org/abs/2305.18732,,https://huggingface.co/papers/2305.18732,,,,2305.18732,1,0
+Wrapped Cauchy Distributed Angular Softmax for Long-Tailed Visual Recognition,Boran Han,http://arxiv.org/abs/2305.18732,,https://huggingface.co/papers/2305.18732,,,,2305.18732,1,1
 Policy Gradient in Robust MDPs with Global Convergence Guarantee,"Qiuhao Wang, Chin Pang Ho, Marek Petrik",http://arxiv.org/abs/2212.10439,,https://huggingface.co/papers/2212.10439,,,,2212.10439,3,0
 Addressing Budget Allocation and Revenue Allocation in Data Market Environment Using an Adaptive Sampling Algorithm,"Boxin Zhao, Boxiang Lyu, Raul Castro Fernandez, Mladen Kolar",,,,,,,,,
 Theoretical Bounds on the Network Community Profile from Low-rank Semi-definite Programming,"Yufan Huang, C. Seshadhri, David Gleich",http://arxiv.org/abs/2303.14550,,https://huggingface.co/papers/2303.14550,,,,2303.14550,3,0
@@ -474,7 +474,7 @@ A Model-free Closeness-of-influence Test for Features in Supervised Learning,"Mo
 What Can Be Learnt With Wide Convolutional Neural Networks?,"Francesco Cagnetta, Alessandro Favero, Matthieu Wyart",http://arxiv.org/abs/2208.01003,,https://huggingface.co/papers/2208.01003,,,,2208.01003,3,0
 Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity,"Eduard Gorbunov, Adrien Taylor, Samuel Horváth, Gauthier Gidel",http://arxiv.org/abs/2210.13831,,https://huggingface.co/papers/2210.13831,,,,2210.13831,4,1
 Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees,"Anastasiia Koloskova, Hadrien Hendrikx, Sebastian Stich",http://arxiv.org/abs/2305.01588,,https://huggingface.co/papers/2305.01588,,,,2305.01588,3,0
-Bag of Tricks for Training Data Extraction from Language Models,"Weichen Yu, Tianyu Pang, Qian Liu, Chao Du, Bingyi Kang, Yan Huang, Min Lin, Shuicheng YAN",http://arxiv.org/abs/2302.04460,https://github.com/weichen-yu/LM-Extraction,https://huggingface.co/papers/2302.04460,,,,2302.04460,8,0
+Bag of Tricks for Training Data Extraction from Language Models,"Weichen Yu, Tianyu Pang, Qian Liu, Chao Du, Bingyi Kang, Yan Huang, Min Lin, Shuicheng YAN",http://arxiv.org/abs/2302.04460,https://github.com/weichen-yu/LM-Extraction,https://huggingface.co/papers/2302.04460,,,,2302.04460,8,1
 Quantum 3D Graph Learning with Applications to Molecule Embedding,"Ge Yan, Huaijin Wu, Junchi Yan",,,,,,,,,
 Efficient Learning of Mesh-Based Physical Simulation with Bi-Stride Multi-Scale Graph Neural Network,"Yadi Cao, Menglei Chai, Minchen Li, Chenfanfu Jiang",,,,,,,,,
 Phase-aware Adversarial Defense for Improving Adversarial Robustness,"Dawei Zhou, Nannan Wang, Heng Yang, Xinbo Gao, Tongliang Liu",,,,,,,,,
@@ -493,7 +493,7 @@ Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes
 AudioLDM: Text-to-Audio Generation with Latent Diffusion Models,"Haohe Liu, Zehua Chen, Yi Yuan, Xinhao Mei, Xubo Liu, Danilo Mandic, Wenwu Wang, Mark D Plumbley",http://arxiv.org/abs/2301.12503,,https://huggingface.co/papers/2301.12503,,,,2301.12503,8,1
 Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature,"Khang Nguyen, Nong Hieu, Vinh NGUYEN, Nhat Ho, Stanley Osher, TAN NGUYEN",http://arxiv.org/abs/2211.15779,,https://huggingface.co/papers/2211.15779,,,,2211.15779,6,1
 Lifelong Language Pretraining with Distribution-Specialized Experts,"Wuyang Chen, Yanqi Zhou, Nan Du, Yanping Huang, James Laudon, Zhifeng Chen, Claire Cui",http://arxiv.org/abs/2305.12281,,https://huggingface.co/papers/2305.12281,,,,2305.12281,7,0
-Delay-agnostic Asynchronous Coordinate Update Algorithm,"Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson",http://arxiv.org/abs/2305.08535,,https://huggingface.co/papers/2305.08535,,,,2305.08535,4,0
+Delay-agnostic Asynchronous Coordinate Update Algorithm,"Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson",http://arxiv.org/abs/2305.08535,,https://huggingface.co/papers/2305.08535,,,,2305.08535,4,1
 Prototype-oriented unsupervised anomaly detection for multivariate time series,"yuxin li, Wenchao Chen, Bo Chen, Dongsheng Wang, Long Tian, Mingyuan Zhou",,,,,,,,,
 ClimaX: A foundation model for weather and climate,"Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K. Gupta, Aditya Grover",http://arxiv.org/abs/2301.10343,,https://huggingface.co/papers/2301.10343,,,,2301.10343,5,1
 One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale,"Fan Bao, Shen Nie, Kaiwen Xue, Chongxuan Li, Shi Pu, Yaole Wang, Gang Yue, Yue Cao, Hang Su, Jun Zhu",http://arxiv.org/abs/2303.06555,,https://huggingface.co/papers/2303.06555,,,,2303.06555,10,0
@@ -547,7 +547,7 @@ Vector Quantized Wasserstein Auto-Encoder,"Tung-Long Vuong, Trung Le, He Zhao, C
 MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation,"Xingang Peng, Jiaqi Guan, qiang liu, Jianzhu Ma",http://arxiv.org/abs/2305.07508,,https://huggingface.co/papers/2305.07508,,,,2305.07508,4,0
 Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry,"Aimee Maurais, Terrence Alsup, Benjamin Peherstorfer, Youssef Marzouk",http://arxiv.org/abs/2301.13749,,https://huggingface.co/papers/2301.13749,,,,2301.13749,4,0
 Active Learning based Structural Inference,"Aoran Wang, Jun Pang",,,,,,,,,
-Multi-Objective Population Based Training,"Arkadiy Dushatskiy, Alexander Chebykin, Tanja Alderliesten, Peter A.N Bosman",http://arxiv.org/abs/2306.01436,,https://huggingface.co/papers/2306.01436,,,,2306.01436,4,0
+Multi-Objective Population Based Training,"Arkadiy Dushatskiy, Alexander Chebykin, Tanja Alderliesten, Peter A.N Bosman",http://arxiv.org/abs/2306.01436,,https://huggingface.co/papers/2306.01436,,,,2306.01436,4,1
 Contextual Conservative Interleaving Bandits,Kei Takemura,,,,,,,,,
 Unsupervised Skill Discovery for Learning Shared Structures across Changing Environments,"Sang-Hyun Lee, Seung-Woo Seo",,,,,,,,,
 MANSA: Learning Fast and Slow in Multi-Agent Systems,"David Mguni, Taher Jafferjee, Haojun Chen, Jianhong Wang, LONG FEI, Xidong Feng, Stephen Mcaleer, Feifei Tong, Jun Wang, Yaodong Yang",http://arxiv.org/abs/2302.05910,,https://huggingface.co/papers/2302.05910,,,,2302.05910,10,0
@@ -654,7 +654,7 @@ Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates,"Louis S
 Naive imputation implicitly regularizes high-dimensional linear models,"Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet",http://arxiv.org/abs/2301.13585,,https://huggingface.co/papers/2301.13585,,,,2301.13585,4,0
 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,,,,2210.14016,2,0
+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
 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",,,,,,,,,
@@ -971,7 +971,7 @@ Learning Mixtures of Markov Chains and MDPs,"Chinmaya Kausik, Kevin Tan, Ambuj T
 A Watermark for Large Language Models,"John Kirchenbauer, Jonas Geiping, Yuxin Wen, Jonathan Katz, Ian Miers, Tom Goldstein",http://arxiv.org/abs/2301.10226,https://github.com/jwkirchenbauer/lm-watermarking,https://huggingface.co/papers/2301.10226,https://huggingface.co/spaces/tomg-group-umd/lm-watermarking,,,2301.10226,6,3
 On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness,"Haotian Ye, Xiaoyu Chen, Liwei Wang, Simon Du",http://arxiv.org/abs/2210.10464,,https://huggingface.co/papers/2210.10464,,,,2210.10464,4,0
 Diffusion Models are Minimax Optimal Distribution Estimators,"Kazusato Oko, Shunta Akiyama, Taiji Suzuki",http://arxiv.org/abs/2303.01861,,https://huggingface.co/papers/2303.01861,,,,2303.01861,3,0
-AdaBoost is not an Optimal Weak to Strong Learner,"Mikael Møller Høgsgaard, Mikael Høgsgaard, Kasper Green Larsen, Martin Ritzert",http://arxiv.org/abs/2301.11571,,https://huggingface.co/papers/2301.11571,,,,2301.11571,3,0
+AdaBoost is not an Optimal Weak to Strong Learner,"Mikael Møller Høgsgaard, Mikael Høgsgaard, Kasper Green Larsen, Martin Ritzert",http://arxiv.org/abs/2301.11571,,https://huggingface.co/papers/2301.11571,,,,2301.11571,3,1
 Exponential Smoothing for Off-Policy Learning,"Imad AOUALI, Victor-Emmanuel Brunel, David Rohde, Anna Korba",http://arxiv.org/abs/2305.15877,,https://huggingface.co/papers/2305.15877,,,,2305.15877,4,0
 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",,,,,,,,,
@@ -1244,10 +1244,10 @@ Meta Optimal Transport,"Brandon Amos, Giulia Luise, samuel cohen, Ievgen Redko",
 InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models,"Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Chris De Sa, Volodymyr Kuleshov",http://arxiv.org/abs/2306.08757,,https://huggingface.co/papers/2306.08757,,,,2306.08757,7,0
 CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks,"Jue Wang, Yucheng Lu, Binhang Yuan, Beidi Chen, Percy Liang, Chris De Sa, Christopher Re, Ce Zhang",,,,,,,,,
 Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning,"Cheng Lu, Huayu Chen, Jianfei Chen, Hang Su, Chongxuan Li, Jun Zhu",http://arxiv.org/abs/2304.12824,,https://huggingface.co/papers/2304.12824,,,,2304.12824,6,0
-BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models,"Junnan Li, DONGXU LI, Silvio Savarese, Steven Hoi",https://arxiv.org/abs/2301.12597,https://github.com/salesforce/LAVIS/tree/main/projects/blip2,https://huggingface.co/papers/2301.12597,https://huggingface.co/spaces/Salesforce/BLIP2,https://huggingface.co/Salesforce/blip2-flan-t5-xxl,,2301.12597,4,0
+BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models,"Junnan Li, DONGXU LI, Silvio Savarese, Steven Hoi",https://arxiv.org/abs/2301.12597,https://github.com/salesforce/LAVIS/tree/main/projects/blip2,https://huggingface.co/papers/2301.12597,https://huggingface.co/spaces/Salesforce/BLIP2,https://huggingface.co/Salesforce/blip2-flan-t5-xxl,,2301.12597,4,1
 The Benefits of Mixup for Feature Learning,"Difan Zou, Yuan Cao, Yuanzhi Li, Quanquan Gu",http://arxiv.org/abs/2303.08433,,https://huggingface.co/papers/2303.08433,,,,2303.08433,4,0
 GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks,"Salah GHAMIZI, Jingfeng ZHANG, Maxime Cordy, Mike Papadakis, Masashi Sugiyama, YVES LE TRAON",http://arxiv.org/abs/2302.02907,,https://huggingface.co/papers/2302.02907,,,,2302.02907,6,0
-Test-time Adaptation with Slot-Centric Models,"Mihir Prabhudesai, Anirudh Goyal, Sujoy Paul, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gaurav Aggarwal, Thomas Kipf, Deepak Pathak, Katerina Fragkiadaki",http://arxiv.org/abs/2203.11194,,https://huggingface.co/papers/2203.11194,,,,2203.11194,9,1
+Test-time Adaptation with Slot-Centric Models,"Mihir Prabhudesai, Anirudh Goyal, Sujoy Paul, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gaurav Aggarwal, Thomas Kipf, Deepak Pathak, Katerina Fragkiadaki",http://arxiv.org/abs/2203.11194,,https://huggingface.co/papers/2203.11194,,,,2203.11194,9,2
 Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification,"Dong Xing, Pengjie Gu, Qian Zheng, Xinrun Wang, Shanqi Liu, Longtao Zheng, Bo An, Gang Pan",,,,,,,,,
 Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least,"Siddharth Joshi, Baharan Mirzasoleiman",http://arxiv.org/abs/2302.09195,,https://huggingface.co/papers/2302.09195,,,,2302.09195,2,0
 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
@@ -1449,7 +1449,7 @@ X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and
 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
-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,,,,2304.09752,4,0
+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
 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