diff --git "a/papers.csv" "b/papers.csv" --- "a/papers.csv" +++ "b/papers.csv" @@ -31,7 +31,7 @@ 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,,,,2305.15734,4,1 +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,,,,2305.15734,4,2 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",,,,,,,,, @@ -198,7 +198,7 @@ Finding the Missing-half: Graph Complementary Learning for Homophily-prone and H 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,,,,2211.06218,2,1 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-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,,,,2305.00441,3,1 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 One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training,"Sekitoshi Kanai, Shin'ya Yamaguchi, Masanori Yamada, Hiroshi Takahashi, Kentaro Ono, Yasutoshi Ida",http://arxiv.org/abs/2207.10283,,https://huggingface.co/papers/2207.10283,,,,2207.10283,6,0 Generalizing Neural Wave Functions,"Nicholas Gao, Stephan Günnemann",http://arxiv.org/abs/2302.04168,,https://huggingface.co/papers/2302.04168,,,,2302.04168,2,0 @@ -277,12 +277,12 @@ A Two-Stage Active Learning Algorithm for k-Nearest Neighbors,"Nicholas Rittler, 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 +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,,,,2209.10931,6,1 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 -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 +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,,,,2305.18651,3,1 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,,,,2209.15404,3,1 @@ -300,11 +300,11 @@ A new near-linear time algorithm for k-nearest neighbor search using a compresse PAC Generalization via Invariant Representations,"Advait Parulekar, Karthikeyan Shanmugam, Sanjay Shakkottai",http://arxiv.org/abs/2205.15196,,https://huggingface.co/papers/2205.15196,,,,2205.15196,3,0 Counterfactual Analysis in Dynamic Latent State Models,"Martin Haugh, Raghav Singal",http://arxiv.org/abs/2205.13832,,https://huggingface.co/papers/2205.13832,,,,2205.13832,2,0 Fully Dynamic Submodular Maximization over Matroids,"PAUL DUETTING, Federico Fusco, Silvio Lattanzi, Ashkan Norouzi-Fard, Morteza Zadimoghaddam",http://arxiv.org/abs/2305.19918,,https://huggingface.co/papers/2305.19918,,,,2305.19918,5,0 -Can Forward Gradient Match Backpropagation?,"Louis Fournier, Stéphane Rivaud SORBONNE UNIVERSITE ISIR, Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon",http://arxiv.org/abs/2306.06968,,https://huggingface.co/papers/2306.06968,,,,2306.06968,5,0 +Can Forward Gradient Match Backpropagation?,"Louis Fournier, Stéphane Rivaud SORBONNE UNIVERSITE ISIR, Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon",http://arxiv.org/abs/2306.06968,,https://huggingface.co/papers/2306.06968,,,,2306.06968,5,1 Decoding Layer Saliency in Transformers,"Elizabeth Hou, Gregory Castanon",,,,,,,,, On the Global Convergence of Fitted Q-Iteration with Two-layer Neural Network Parametrization,"Mudit Gaur, Vaneet Aggarwal, Mridul Agarwal",,,,,,,,, Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits,"Ronshee Chawla, Daniel Vial, Sanjay Shakkottai, R Srikant",http://arxiv.org/abs/2305.18784,,https://huggingface.co/papers/2305.18784,,,,2305.18784,4,0 -Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions,"Wanshan Li, Daren Wang, Alessandro Rinaldo",http://arxiv.org/abs/2301.10942,,https://huggingface.co/papers/2301.10942,,,,2301.10942,3,0 +Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions,"Wanshan Li, Daren Wang, Alessandro Rinaldo",http://arxiv.org/abs/2301.10942,,https://huggingface.co/papers/2301.10942,,,,2301.10942,3,1 Automatic Data Augmentation via Invariance-Constrained Learning,"Ignacio Hounie, Luiz Chamon, Alejandro Ribeiro",http://arxiv.org/abs/2209.15031,,https://huggingface.co/papers/2209.15031,,,,2209.15031,3,0 Sequential Counterfactual Risk Minimization,"Houssam Zenati, Eustache Diemert, Matthieu Martin, Julien Mairal, Pierre Gaillard",http://arxiv.org/abs/2302.12120,,https://huggingface.co/papers/2302.12120,,,,2302.12120,5,0 Sequential Monte Carlo Learning for Time Series Structure Discovery,"Feras Saad, Brian Patton, Matthew Hoffman, Rif Saurous, Vikash Mansinghka",,,,,,,,, @@ -353,7 +353,7 @@ On the Stepwise Nature of Self-Supervised Learning,"James B Simon, Maksis Knutin 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",,,,,,,,, Data-Copying in Generative Models: A Formal Framework,"Robi Bhattacharjee, Sanjoy Dasgupta, Kamalika Chaudhuri",http://arxiv.org/abs/2302.13181,,https://huggingface.co/papers/2302.13181,,,,2302.13181,3,0 -Deep Regression Unlearning,"Ayush Tarun, Vikram Chundawat, Murari Mandal, Mohan Kankanhalli",http://arxiv.org/abs/2210.08196,https://github.com/ayu987/deep-regression-unlearning,https://huggingface.co/papers/2210.08196,,,,2210.08196,4,0 +Deep Regression Unlearning,"Ayush Tarun, Vikram Chundawat, Murari Mandal, Mohan Kankanhalli",http://arxiv.org/abs/2210.08196,https://github.com/ayu987/deep-regression-unlearning,https://huggingface.co/papers/2210.08196,,,,2210.08196,4,1 DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models ,"Liangbin Xie, Xintao Wang, Xiangyu Chen, Gen Li, Ying Shan, Jiantao Zhou, Chao Dong",,,,,,,,, B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding,"Miruna Oprescu, Jacob Dorn, Marah Ghoummaid, Andrew Jesson, Nathan Kallus, Uri Shalit",,,,,,,,, How to address monotonicity for model risk management?,"Dangxing Chen, Weicheng Ye",http://arxiv.org/abs/2305.00799,,https://huggingface.co/papers/2305.00799,,,,2305.00799,2,0 @@ -368,7 +368,7 @@ Theoretical Bounds on the Network Community Profile from Low-rank Semi-definite Learning Mixtures of Gaussians with Censored Data,"Wai Ming Tai, Bryon Aragam",http://arxiv.org/abs/2305.04127,,https://huggingface.co/papers/2305.04127,,,,2305.04127,2,0 An Information-Theoretic Analysis of Nonstationary Bandit Learning,"Seungki Min, Daniel Russo",http://arxiv.org/abs/2302.04452,,https://huggingface.co/papers/2302.04452,,,,2302.04452,2,0 Inverse Reinforcement Learning without Reinforcement Learning,"Gokul Swamy, David Wu, Sanjiban Choudhury, J. Bagnell, Steven Wu",http://arxiv.org/abs/2303.14623,,https://huggingface.co/papers/2303.14623,,,,2303.14623,4,0 -Efficient Online Reinforcement Learning with Offline Data,"Philip Ball, Laura Smith, Ilya Kostrikov, Sergey Levine",http://arxiv.org/abs/2302.02948,https://github.com/ikostrikov/rlpd,https://huggingface.co/papers/2302.02948,,,,2302.02948,4,0 +Efficient Online Reinforcement Learning with Offline Data,"Philip Ball, Laura Smith, Ilya Kostrikov, Sergey Levine",http://arxiv.org/abs/2302.02948,https://github.com/ikostrikov/rlpd,https://huggingface.co/papers/2302.02948,,,,2302.02948,4,1 When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations,"Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang",,,,,,,,, Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning,"Yulai Zhao, Zhuoran Yang, Zhaoran Wang, Jason Lee",http://arxiv.org/abs/2305.04819,,https://huggingface.co/papers/2305.04819,,,,2305.04819,4,1 Learning Globally Smooth Functions on Manifolds,"Juan Cervino, Luiz Chamon, Benjamin Haeffele, Rene Vidal, Alejandro Ribeiro",http://arxiv.org/abs/2210.00301,,https://huggingface.co/papers/2210.00301,,,,2210.00301,5,0 @@ -460,9 +460,9 @@ GFlowOut: Dropout with Generative Flow Networks,"Dianbo Liu, Moksh Jain, Bonaven End-to-End Learning for Stochastic Optimization: A Bayesian Perspective,"Yves Rychener, Daniel Kuhn, Tobias Sutter",http://arxiv.org/abs/2306.04174,,https://huggingface.co/papers/2306.04174,,,,2306.04174,3,0 Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes,"Shion Takeno, Masahiro Nomura, Masayuki Karasuyama",http://arxiv.org/abs/2302.01513,,https://huggingface.co/papers/2302.01513,,,,2302.01513,3,0 Low-Switching Policy Gradient with Exploration via Online Sensitivity Sampling,"Yunfan Li, Yiran Wang, Yu Cheng, Lin Yang",http://arxiv.org/abs/2306.09554,,https://huggingface.co/papers/2306.09554,,,,2306.09554,4,0 -A Theoretical Analysis of the Learning Dynamics under Class Imbalance,"Emanuele Francazi, Marco Baity-Jesi, Aurelien Lucchi",http://arxiv.org/abs/2207.00391,,https://huggingface.co/papers/2207.00391,,,,2207.00391,3,0 +A Theoretical Analysis of the Learning Dynamics under Class Imbalance,"Emanuele Francazi, Marco Baity-Jesi, Aurelien Lucchi",http://arxiv.org/abs/2207.00391,,https://huggingface.co/papers/2207.00391,,,,2207.00391,3,1 Dynamic Constrained Submodular Optimization with Polylogarithmic Update Time,"Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh",http://arxiv.org/abs/2305.15192,,https://huggingface.co/papers/2305.15192,,,,2305.15192,6,0 -Out-of-Domain Robustness via Targeted Augmentations,"Irena Gao, Shiori Sagawa, Pang Wei Koh, Tatsunori Hashimoto, Percy Liang",http://arxiv.org/abs/2302.11861,,https://huggingface.co/papers/2302.11861,,,,2302.11861,5,0 +Out-of-Domain Robustness via Targeted Augmentations,"Irena Gao, Shiori Sagawa, Pang Wei Koh, Tatsunori Hashimoto, Percy Liang",http://arxiv.org/abs/2302.11861,,https://huggingface.co/papers/2302.11861,,,,2302.11861,5,1 An Instrumental Variable Approach to Confounded Off-Policy Evaluation,"Yang Xu, Jin Zhu, Chengchun Shi, Shikai Luo, Rui Song",http://arxiv.org/abs/2212.14468,,https://huggingface.co/papers/2212.14468,,,,2212.14468,5,0 Adaptive Smoothing Gradient Learning for Spiking Neural Networks,"Ziming Wang, Runhao Jiang, Shuang Lian, Rui Yan, Huajin Tang",,,,,,,,, The Catalog Problem: Clustering and Ordering Variable-Sized Sets,"Mateusz Jurewicz, Graham Taylor, Leon Derczynski",,,,,,,,, @@ -559,7 +559,7 @@ Certified Robust Neural Networks: Generalization and Corruption Resistance,"Amin "Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective","Michael Sander, Joan Puigcerver, Josip Djolonga, Gabriel Peyré, Mathieu Blondel",,,,,,,,, Anti-Exploration by Random Network Distillation,"Alexander Nikulin, Vladislav Kurenkov, Denis Tarasov, Sergey Kolesnikov",http://arxiv.org/abs/2301.13616,,https://huggingface.co/papers/2301.13616,,,,2301.13616,4,0 Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes,"Liam Hodgkinson, Chris van der Heide, Fred Roosta, Michael Mahoney",http://arxiv.org/abs/2210.07612,,https://huggingface.co/papers/2210.07612,,,,2210.07612,4,1 -Sampling-Based Accuracy Testing of Posterior Estimators for General Inference,"Pablo Lemos, Adam Coogan, Laurence Perreault-Levasseur, Yashar Hezaveh",http://arxiv.org/abs/2302.03026,,https://huggingface.co/papers/2302.03026,,,,2302.03026,4,0 +Sampling-Based Accuracy Testing of Posterior Estimators for General Inference,"Pablo Lemos, Adam Coogan, Laurence Perreault-Levasseur, Yashar Hezaveh",http://arxiv.org/abs/2302.03026,,https://huggingface.co/papers/2302.03026,,,,2302.03026,4,1 Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models,"Parth Sangani, Arjun Kashettiwar, Pritish Chakraborty, Bhuvan Gangula, Sivasubramanian Durga, Ganesh Ramakrishnan, Rishabh Iyer, Abir De",,,,,,,,, A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates,"Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi",http://arxiv.org/abs/2206.10189,,https://huggingface.co/papers/2206.10189,,,,2206.10189,4,0 Principled Offline RL in the Presence of Rich Exogenous Information,"Riashat Islam, Manan Tomar, Alex Lamb, Yonathan Efroni, Hongyu Zang, Aniket Didolkar, Dipendra Misra, Xin Li, Harm Seijen, Remi Tachet des Combes, John Langford",,,,,,,,, @@ -650,10 +650,10 @@ A Critical View of Vision-Based Long-Term Dynamics Prediction Under Environment Feature Programming for Multivariate Time Series Prediction,"Alex Reneau, Jerry Yao-Chieh Hu, Ammar Gilani, Han Liu",http://arxiv.org/abs/2306.06252,,https://huggingface.co/papers/2306.06252,,,,2306.06252,6,0 Neural signature kernels as infinite-width-depth-limits of controlled ResNets,"Nicola Muca Cirone, Maud Lemercier, Cristopher Salvi",http://arxiv.org/abs/2303.17671,,https://huggingface.co/papers/2303.17671,,,,2303.17671,3,0 Distribution Free Domain Generalization,"Peifeng Tong, Wu Su, He Li, Jialin Ding, zhan haoxiang, Song Chen",,,,,,,,, -Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates,"Louis Sharrock, Chris Nemeth",http://arxiv.org/abs/2301.11294,,https://huggingface.co/papers/2301.11294,,,,2301.11294,2,0 +Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates,"Louis Sharrock, Chris Nemeth",http://arxiv.org/abs/2301.11294,,https://huggingface.co/papers/2301.11294,,,,2301.11294,2,1 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 +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,,,,2305.07580,3,1 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,,,,2206.06719,3,1 A Unifying Framework to the Analysis of Interaction Methods using Synergy Functions,"Daniel Lundstrom, Meisam Razaviyayn",,,,,,,,, @@ -707,7 +707,7 @@ User-defined Event Sampling and Uncertainty Quantification in Diffusion Models f Are Random Decompositions all we need in High Dimensional Bayesian Optimisation?,"Juliusz Ziomek, Haitham Bou Ammar",http://arxiv.org/abs/2301.12844,,https://huggingface.co/papers/2301.12844,,,,2301.12844,2,0 Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems,"Mohammad Khalafi, Digvijay Boob",http://arxiv.org/abs/2209.04604,,https://huggingface.co/papers/2209.04604,,,,2209.04604,2,0 "Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms","Francesco Tonin, Alex Lambert, Panagiotis Patrinos, Johan Suykens",http://arxiv.org/abs/2306.05815,,https://huggingface.co/papers/2306.05815,,,,2306.05815,4,0 -Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions,"Hongrui Chen, Holden Lee, Jianfeng Lu",http://arxiv.org/abs/2211.01916,,https://huggingface.co/papers/2211.01916,,,,2211.01916,3,0 +Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions,"Hongrui Chen, Holden Lee, Jianfeng Lu",http://arxiv.org/abs/2211.01916,,https://huggingface.co/papers/2211.01916,,,,2211.01916,3,1 Properties of the Mallows Model Depending on the Number of Alternatives: A Warning for an Experimentalist,"Niclas Boehmer, Piotr Faliszewski, Sonja Kraiczy",,,,,,,,, Linear CNNs Discover the Statistical Structure of the Dataset Using only the Most Dominant Frequencies,"Hannah Pinson, Joeri Lenaerts, Vincent Ginis",http://arxiv.org/abs/2303.02034,,https://huggingface.co/papers/2303.02034,,,,2303.02034,3,0 On Preemption and Learning in Stochastic Scheduling,"Nadav Merlis, Hugo Richard, Flore Sentenac, Corentin Odic, Mathieu Molina, Vianney Perchet",http://arxiv.org/abs/2205.15695,,https://huggingface.co/papers/2205.15695,,,,2205.15695,6,0 @@ -721,7 +721,7 @@ Approximate Stein Classes for Truncated Density Estimation,"Daniel J. Williams, 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 -Unit Scaling: Out-of-the-Box Low-Precision Training,"Charlie Blake, Charlie Blake, Douglas Orr, Carlo Luschi",http://arxiv.org/abs/2303.11257,,https://huggingface.co/papers/2303.11257,,,,2303.11257,3,0 +Unit Scaling: Out-of-the-Box Low-Precision Training,"Charlie Blake, Charlie Blake, Douglas Orr, Carlo Luschi",http://arxiv.org/abs/2303.11257,,https://huggingface.co/papers/2303.11257,,,,2303.11257,3,1 NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data,"LIU SONGMING, Zhongkai Hao, Chengyang Ying, Hang Su, Ze Cheng, Jun Zhu",http://arxiv.org/abs/2305.18694,https://github.com/thu-ml/NUNO,https://huggingface.co/papers/2305.18694,,,,2305.18694,6,0 Diffusion Models for Offline Black-Box Optimization,"Siddarth Krishnamoorthy, Satvik Mashkaria, Aditya Grover",,,,,,,,, The Flan Collection: Designing Data and Methods for Effective Instruction Tuning,"Shayne Longpre, Le Hou, Tu Vu, Albert Webson, Hyung Won Chung, Yi Tay, Denny Zhou, Quoc Le, Barret Zoph, Jason Wei, Adam Roberts",http://arxiv.org/abs/2301.13688,https://github.com/google-research/FLAN/tree/main/flan/v2,https://huggingface.co/papers/2301.13688,,,,2301.13688,11,1 @@ -733,7 +733,7 @@ Double-Weighting for Covariate Shift Adaptation,"José I. Segovia-Martín, Santi Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints,"Donghao Li, Ruiquan Huang, Cong Shen, Jing Yang",http://arxiv.org/abs/2306.06265,,https://huggingface.co/papers/2306.06265,,,,2306.06265,4,1 PASTA: Pessimistic Assortment Optimization,"Juncheng Dong, Weibin Mo, Zhengling Qi, Cong Shi, Ethan Fang, Vahid Tarokh",http://arxiv.org/abs/2302.03821,,https://huggingface.co/papers/2302.03821,,,,2302.03821,6,0 Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D,"Bo Qiang, Yuxuan Song, Minkai Xu, Jingjing Gong, Bowen Gao, Hao Zhou, Wei-Ying Ma, Yanyan Lan",,,,,,,,, -Off-Policy Average Reward Actor-Critic with Deterministic Policy Search,"Naman Saxena, Subhojyoti Khastagir, Shishir Nadubettu Yadukumar, Shalabh Bhatnagar",http://arxiv.org/abs/2305.12239,,https://huggingface.co/papers/2305.12239,,,,2305.12239,4,0 +Off-Policy Average Reward Actor-Critic with Deterministic Policy Search,"Naman Saxena, Subhojyoti Khastagir, Shishir Nadubettu Yadukumar, Shalabh Bhatnagar",http://arxiv.org/abs/2305.12239,,https://huggingface.co/papers/2305.12239,,,,2305.12239,4,1 On Kinetic Optimal Probability Paths for Generative Models,"Neta Shaul, Ricky T. Q. Chen, Maximilian Nickel, Matthew Le, Yaron Lipman",http://arxiv.org/abs/2306.06626,,https://huggingface.co/papers/2306.06626,,,,2306.06626,5,0 General Covariance Data Augmentation for Neural PDE Solvers,"Fanaskov Vladimir, Tianchi Yu, Alexander Rudikov, Ivan Oseledets",http://arxiv.org/abs/2301.12730,,https://huggingface.co/papers/2301.12730,,,,2301.12730,4,0 Towards Bridging the Gaps between the Right to Explanation and the Right to be Forgotten,"Satyapriya Krishna, Jiaqi Ma, Himabindu Lakkaraju",http://arxiv.org/abs/2302.04288,,https://huggingface.co/papers/2302.04288,,,,2302.04288,3,0 @@ -753,7 +753,7 @@ GLOBE-CE: A Translation Based Approach for Global Counterfactual Explanations,"D Predictive Flows for Faster Ford-Fulkerson,"Sami Davies, Benjamin Moseley, Sergei Vassilvitskii, Yuyan Wang",http://arxiv.org/abs/2303.00837,,https://huggingface.co/papers/2303.00837,,,,2303.00837,4,0 "Masked Trajectory Models for Prediction, Representation, and Control","Philipp Wu, Arjun Majumdar, Kevin Stone, Yixin Lin, Igor Mordatch, Pieter Abbeel, Aravind Rajeswaran",http://arxiv.org/abs/2305.02968,https://github.com/facebookresearch/mtm,https://huggingface.co/papers/2305.02968,,,,2305.02968,7,3 DRew: Dynamically Rewired Message Passing with Delay,"Benjamin Gutteridge, Xiaowen Dong, Michael Bronstein, Francesco Di Giovanni",http://arxiv.org/abs/2305.08018,,https://huggingface.co/papers/2305.08018,,,,2305.08018,4,0 -SinDDM: A Single Image Denoising Diffusion Model,"Vladimir Kulikov, Shahar Yadin, Matan Kleiner, Tomer Michaeli",http://arxiv.org/abs/2211.16582,,https://huggingface.co/papers/2211.16582,,,,2211.16582,4,0 +SinDDM: A Single Image Denoising Diffusion Model,"Vladimir Kulikov, Shahar Yadin, Matan Kleiner, Tomer Michaeli",http://arxiv.org/abs/2211.16582,,https://huggingface.co/papers/2211.16582,,,,2211.16582,4,1 Correcting discount-factor mismatch in on-policy policy gradient methods,"Fengdi Che, Gautham Vasan, Rupam Mahmood",,,,,,,,, Iterative Approximate Cross-Validation,"Yuetian Luo, Zhimei Ren, Rina Barber",http://arxiv.org/abs/2303.02732,,https://huggingface.co/papers/2303.02732,,,,2303.02732,3,0 Conformalization of Sparse Generalized Linear Models,"Etash Guha, Eugene Ndiaye, Xiaoming Huo",,,,,,,,, @@ -785,7 +785,7 @@ Parallel neurosymbolic integration with Concordia,"Jonathan Feldstein, Modestas PFGM++: Unlocking the Potential of Physics-Inspired Generative Models,"Yilun Xu, Ziming Liu, Yonglong Tian, Shangyuan Tong, Max Tegmark, Tommi Jaakkola",http://arxiv.org/abs/2302.04265,https://github.com/Newbeeer/pfgmpp,https://huggingface.co/papers/2302.04265,,,,2302.04265,6,0 Neural Markov Jump Processes,"Patrick Seifner, Ramses J Sanchez",http://arxiv.org/abs/2305.19744,,https://huggingface.co/papers/2305.19744,,,,2305.19744,2,0 Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling,"Tianqi Chen, Mingyuan Zhou",http://arxiv.org/abs/2305.18375,,https://huggingface.co/papers/2305.18375,,,,2305.18375,2,0 -"From Perception to Programs: Regularize, Overparameterize, and Amortize","Hao Tang, Kevin Ellis",http://arxiv.org/abs/2206.05922,,https://huggingface.co/papers/2206.05922,,,,2206.05922,2,0 +"From Perception to Programs: Regularize, Overparameterize, and Amortize","Hao Tang, Kevin Ellis",http://arxiv.org/abs/2206.05922,,https://huggingface.co/papers/2206.05922,,,,2206.05922,2,1 $H$-Consistency Bounds for Pairwise Misranking Loss Surrogates,"Anqi Mao, Mehryar Mohri, Yutao Zhong",,,,,,,,, Statistical Indistinguishability of Learning Algorithms,"Alkis Kalavasis, Amin Karbasi, Shay Moran, Grigoris Velegkas",http://arxiv.org/abs/2305.14311,,https://huggingface.co/papers/2305.14311,,,,2305.14311,4,0 Reprogramming Pretrained Language Models for Antibody Sequence Infilling,"Igor Melnyk, Vijil Chenthamarakshan, Pin-Yu Chen, Payel Das, Amit Dhurandhar, Inkit Padhi, Devleena Das",,,,,,,,, @@ -838,7 +838,7 @@ Variational Sparse Inverse Cholesky Approximation for Latent Gaussian Processes Efficient exploration via epistemic-risk-seeking policy gradients,Brendan O'Donoghue,,,,,,,,, Probing the Deep Neural Manifold of Reinforcement Learning to Expose Volatility,"Ezgi Korkmaz, Jonah Brown-Cohen",,,,,,,,, Data-Derived Weak Universal Consistency,"Narayana Santhanam, Venkatachalam Anantharam, Wojciech Szpankowski",,,,,,,,, -Auxiliary Learning as an Asymmetric Bargaining Game,"Aviv Shamsian, Aviv Navon, Neta Glazer, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya",http://arxiv.org/abs/2301.13501,,https://huggingface.co/papers/2301.13501,,,,2301.13501,6,0 +Auxiliary Learning as an Asymmetric Bargaining Game,"Aviv Shamsian, Aviv Navon, Neta Glazer, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya",http://arxiv.org/abs/2301.13501,,https://huggingface.co/papers/2301.13501,,,,2301.13501,6,1 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 @@ -854,7 +854,7 @@ Doubly Optimal No-Regret Learning in Monotone Games,"Yang Cai, Weiqiang Zheng",h Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows,"Owen Dugan, Peter Y. Lu, Rumen Dangovski, Di Luo, Marin Solja\v{c}i\'{c}",,,,,,,,, Feature learning in deep classifiers through Intermediate Neural Collapse,"Akshay Rangamani, Marius Lindegaard, Tomer Galanti, Tomaso Poggio",,,,,,,,, On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning,"Hojoon Lee, Koanho Lee, Dongyoon Hwang, Hyunho Lee, Byungkun Lee, Jaegul Choo",http://arxiv.org/abs/2306.05637,https://github.com/dojeon-ai/SimTPR,https://huggingface.co/papers/2306.05637,,,,2306.05637,6,0 -BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning,"Kishaan Jeeveswaran, Prashant Bhat, Bahram Zonooz, Elahe Arani",http://arxiv.org/abs/2305.04769,,https://huggingface.co/papers/2305.04769,,,,2305.04769,4,0 +BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning,"Kishaan Jeeveswaran, Prashant Bhat, Bahram Zonooz, Elahe Arani",http://arxiv.org/abs/2305.04769,,https://huggingface.co/papers/2305.04769,,,,2305.04769,4,1 Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories,"Zixuan Zhang, Minshuo Chen, Mengdi Wang, Wenjing Liao, Tuo Zhao",,,,,,,,, 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",,,,,,,,, @@ -942,7 +942,7 @@ Efficient RL via Disentangled Environment and Agent Representations,"Kevin Gmeli Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge,"Shahine Bouabid, Jake Fawkes, Dino Sejdinovic",http://arxiv.org/abs/2301.11214,,https://huggingface.co/papers/2301.11214,,,,2301.11214,3,0 Simple MViT: A Hierarchical Vision Transformer without the Bells-and-Whistles,"Chaitanya Ryali, Yuan-Ting Hu, Daniel Bolya, Chen Wei, Haoqi Fan, Po-Yao Huang, Vaibhav Aggarwal, Arkabandhu Chowdhury, Omid Poursaeed, Judy Hoffman, Jitendra Malik, Yanghao Li, Christoph Feichtenhofer",,,,,,,,, SparseGPT: Massive Language Models Can be Accurately Pruned in One-Shot,"Elias Frantar, Dan Alistarh",http://arxiv.org/abs/2301.00774,https://github.com/IST-DASLab/sparsegpt,https://huggingface.co/papers/2301.00774,,,,2301.00774,2,0 -"Generalization on the Unseen, Logic Reasoning and Degree Curriculum","Emmanuel Abbe, Samy Bengio, Aryo Lotfi, Kevin Rizk",http://arxiv.org/abs/2301.13105,,https://huggingface.co/papers/2301.13105,,,,2301.13105,4,0 +"Generalization on the Unseen, Logic Reasoning and Degree Curriculum","Emmanuel Abbe, Samy Bengio, Aryo Lotfi, Kevin Rizk",http://arxiv.org/abs/2301.13105,,https://huggingface.co/papers/2301.13105,,,,2301.13105,4,1 Fourmer: An Efficient Global Modeling Paradigm for Image Restoration,"Man Zhou, Jie Huang, Chunle Guo, Chongyi Li, Chongyi Li",,,,,,,,, Dynamics-inspired Neuromorphic Visual Representation Learning,"Zhengqi Pei, Shuhui Wang",,,,,,,,, Facial Expression Recognition with Adaptive Frame Rate based on Multiple Testing Correction,Andrey Savchenko,,,,,,,,, @@ -969,7 +969,7 @@ Data Feedback Loops: Model-driven Amplification of Dataset Biases,"Rohan Taori, Fast Inference from Transformers via Speculative Decoding,"Yaniv Leviathan, Matan Kalman, Yossi Matias",http://arxiv.org/abs/2211.17192,,https://huggingface.co/papers/2211.17192,,,,2211.17192,3,0 Learning Mixtures of Markov Chains and MDPs,"Chinmaya Kausik, Kevin Tan, Ambuj Tewari",http://arxiv.org/abs/2211.09403,,https://huggingface.co/papers/2211.09403,,,,2211.09403,3,0 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 +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,,,,2210.10464,4,1 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,,,,2301.11571,3,1 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 @@ -999,7 +999,7 @@ Multicalibration as Boosting for Regression,"Ira Globus-Harris, Declan Harrison, Towards Reliable Neural Specifications,"Chuqin Geng, Van Nham Le, Xiaojie Xu, Zhaoyue Wang, Arie Gurfinkel, Xujie Si",http://arxiv.org/abs/2210.16114,,https://huggingface.co/papers/2210.16114,,,,2210.16114,6,0 Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes,"Louis Chi-Chun Tiao, Vincent Dutordoir, Victor Picheny",http://arxiv.org/abs/2304.14034,,https://huggingface.co/papers/2304.14034,,,,2304.14034,3,0 Provably Learning Object-Centric Representations,"Jack Brady, Roland Zimmermann, Yash Sharma, Bernhard Schölkopf, Julius von Kügelgen, Wieland Brendel",http://arxiv.org/abs/2305.14229,,https://huggingface.co/papers/2305.14229,,,,2305.14229,6,0 -Equivariant Architectures for Learning in Deep Weight Spaces,"Aviv Navon, Aviv Shamsian, Idan Achituve, Ethan Fetaya, Gal Chechik, Haggai Maron",http://arxiv.org/abs/2301.12780,,https://huggingface.co/papers/2301.12780,,,,2301.12780,6,0 +Equivariant Architectures for Learning in Deep Weight Spaces,"Aviv Navon, Aviv Shamsian, Idan Achituve, Ethan Fetaya, Gal Chechik, Haggai Maron",http://arxiv.org/abs/2301.12780,,https://huggingface.co/papers/2301.12780,,,,2301.12780,6,1 Difference of submodular minimization via DC programming,"Marwa El Halabi, George Orfanides, Tim Hoheisel",http://arxiv.org/abs/2305.11046,,https://huggingface.co/papers/2305.11046,,,,2305.11046,3,0 Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference,"Kyurae Kim, Kaiwen Wu, Jisu Oh, Jacob Gardner",http://arxiv.org/abs/2303.10472,,https://huggingface.co/papers/2303.10472,,,,2303.10472,4,0 Pre-training for Speech Translation: CTC Meets Optimal Transport,"Phuong-Hang Le, Hongyu Gong, Changhan Wang, Juan Pino, Benjamin Lecouteux, Didier Schwab",http://arxiv.org/abs/2301.11716,https://github.com/formiel/fairseq,https://huggingface.co/papers/2301.11716,,,,2301.11716,6,0 @@ -1016,7 +1016,7 @@ Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approac Sketch-Flip-Merge: Mergeable Sketches for Private Distinct Count,"Jonathan Hehir, Jonathan Heier, Daniel Ting, Graham Cormode",,,,,,,,, AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners,"Zhixuan Liang, Yao Mu, Mingyu Ding, Fei Ni, Masayoshi Tomizuka, Ping Luo",http://arxiv.org/abs/2302.01877,,https://huggingface.co/papers/2302.01877,,,,2302.01877,6,0 Reinforcement Learning from Passive Data via Latent Intentions,"Dibya Ghosh, Chethan Bhateja, Sergey Levine",http://arxiv.org/abs/2304.04782,,https://huggingface.co/papers/2304.04782,,,,2304.04782,3,0 -Hierarchies of Reward Machines,"Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo",http://arxiv.org/abs/2205.15752,,https://huggingface.co/papers/2205.15752,,,,2205.15752,5,0 +Hierarchies of Reward Machines,"Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo",http://arxiv.org/abs/2205.15752,,https://huggingface.co/papers/2205.15752,,,,2205.15752,5,1 Calibrating Multimodal Learning,"Huan Ma, qingyang zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu",http://arxiv.org/abs/2306.01265,,https://huggingface.co/papers/2306.01265,,,,2306.01265,6,0 Cones: Concept Neurons in Diffusion Models for Customized Generation,"Zhiheng Liu, Ruili Feng, Kai Zhu, Yifei Zhang, Kecheng Zheng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao",http://arxiv.org/abs/2303.05125,,https://huggingface.co/papers/2303.05125,,,,2303.05125,9,1 Continuation Path Learning for Homotopy Optimization,"Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang",,,,,,,,, @@ -1046,8 +1046,8 @@ A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed B 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,,,,,,,,, Learning Compiler Pass Orders using Coreset and Normalized Value Prediction,"Youwei Liang, Kevin Stone, Ali Shameli, Chris Cummins, Mostafa Elhoushi, Jiadong Guo, Benoit Steiner, Xiaomeng Yang, Pengtao Xie, Hugh Leather, Yuandong Tian",http://arxiv.org/abs/2301.05104,,https://huggingface.co/papers/2301.05104,,,,2301.05104,11,1 -Learning useful representations for shifting tasks and distributions,"Jianyu Zhang, Leon Bottou",http://arxiv.org/abs/2212.07346,,https://huggingface.co/papers/2212.07346,,,,2212.07346,2,0 -Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization,"Alexandre Rame, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Leon Bottou, David Lopez-Paz",http://arxiv.org/abs/2212.10445,,https://huggingface.co/papers/2212.10445,,,,2212.10445,6,0 +Learning useful representations for shifting tasks and distributions,"Jianyu Zhang, Leon Bottou",http://arxiv.org/abs/2212.07346,,https://huggingface.co/papers/2212.07346,,,,2212.07346,2,1 +Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization,"Alexandre Rame, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Leon Bottou, David Lopez-Paz",http://arxiv.org/abs/2212.10445,,https://huggingface.co/papers/2212.10445,,,,2212.10445,6,1 Target-based Surrogates for Stochastic Optimization,"Jonathan Lavington, Sharan Vaswani, Reza Babanezhad, Mark Schmidt, Nicolas Le Roux",http://arxiv.org/abs/2302.02607,,https://huggingface.co/papers/2302.02607,,,,2302.02607,5,0 NNSplitter: An Active Defense Solution for DNN Model via Automated Weight Obfuscation,"Tong Zhou, Yukui Luo, Shaolei Ren, Xiaolin Xu",http://arxiv.org/abs/2305.00097,https://github.com/Tongzhou0101/NNSplitter,https://huggingface.co/papers/2305.00097,,,,2305.00097,4,0 Sketched Ridgeless Linear Regression: The Role of Downsampling,"Xin Chen, Yicheng Zeng, Siyue Yang, Qiang Sun",http://arxiv.org/abs/2302.01088,,https://huggingface.co/papers/2302.01088,,,,2302.01088,4,0 @@ -1069,7 +1069,7 @@ Neural Network Accelerated Implicit Filtering: Integrating Neural Network Surrog Bayesian online change point detection with Hilbert space approximate Student-t process,"Jeremy Sellier, Petros Dellaportas",,,,,,,,, Multiple Thinking Achieving Meta-Ability Decoupling for Object Navigation,"Ronghao Dang, Lu Chen, Liuyi Wang, Zongtao He, Chengju Liu, Qijun Chen",http://arxiv.org/abs/2302.01520,,https://huggingface.co/papers/2302.01520,,,,2302.01520,6,0 Exploring the Benefits of Training Expert Language Models over Instruction Tuning,"Joel Jang, Seungone Kim, Seonghyeon Ye, Doyoung Kim, Lajanugen Logeswaran, Moontae Lee, Kyungjae Lee, Minjoon Seo",http://arxiv.org/abs/2302.03202,https://github.com/joeljang/ELM,https://huggingface.co/papers/2302.03202,,,,2302.03202,8,0 -Feature Expansion for Graph Neural Networks,"Jiaqi Sun, Lin Zhang, Guangyi Chen, Peng XU, Kun Zhang, Yujiu Yang",http://arxiv.org/abs/2305.06142,,https://huggingface.co/papers/2305.06142,,,,2305.06142,6,0 +Feature Expansion for Graph Neural Networks,"Jiaqi Sun, Lin Zhang, Guangyi Chen, Peng XU, Kun Zhang, Yujiu Yang",http://arxiv.org/abs/2305.06142,,https://huggingface.co/papers/2305.06142,,,,2305.06142,6,1 LEVER: Learning to Verify Language-to-Code Generation with Execution,"Ansong Ni, Srinivasan Iyer, Dragomir Radev, Veselin Stoyanov, Scott Yih, Sida Wang, Xi Lin",http://arxiv.org/abs/2302.08468,,https://huggingface.co/papers/2302.08468,,,,2302.08468,7,1 Multi-species multi-task benchmark for learned representations of behavior,"Jennifer J. Sun, Markus Marks, Andrew Ulmer, Dipam Chakraborty, Brian Geuther, Edward Hayes, Heng Jia, Vivek Kumar, Sebastian Oleszko, Zachary Partridge, Milan Peelman, Alice Robie, Catherine Schretter, Keith Sheppard, Chao Sun, Param Uttarwar, Julian Wagner, Erik Werner, Joseph Parker, Pietro Perona, Yisong Yue, Kristin Branson, Ann Kennedy",,,,,,,,, Random Shuffle Transformer for Image Restoration,"Jie Xiao, Xueyang Fu, Man Zhou, Hongjian Liu, Zheng-Jun Zha",,,,,,,,, @@ -1134,7 +1134,7 @@ Fair and Optimal Multi-Class Classification via Post-Processing,"Ruicheng Xian, High-dimensional Clustering onto Hamiltonian Cycle,"Tianyi Huang, Shenghui Cheng, Stan Z Li, Zhengjun Zhang",http://arxiv.org/abs/2304.14531,,https://huggingface.co/papers/2304.14531,,,,2304.14531,4,0 Revisiting Domain Randomization via Relaxed State-Adversarial Policy Optimization,"Yun-Hsuan Lien, Ping-Chun Hsieh, Yu-Shuen Wang",,,,,,,,, Fine-Tuning Language Models via Epistemic Neural Networks,"Ian Osband, Seyed Mohammad Asghari, Benjamin Van Roy, Nat McAleese, John Aslanides, Geoffrey Irving",http://arxiv.org/abs/2211.01568,,https://huggingface.co/papers/2211.01568,,,,2211.01568,6,0 -Dual Focal Loss for Calibration,"Linwei Tao, Minjing Dong, Chang Xu",http://arxiv.org/abs/2305.13665,https://github.com/Linwei94/DualFocalLoss,https://huggingface.co/papers/2305.13665,,,,2305.13665,3,0 +Dual Focal Loss for Calibration,"Linwei Tao, Minjing Dong, Chang Xu",http://arxiv.org/abs/2305.13665,https://github.com/Linwei94/DualFocalLoss,https://huggingface.co/papers/2305.13665,,,,2305.13665,3,1 "Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks","El Mehdi Achour, Francois Malgouyres, Franck Mamalet",http://arxiv.org/abs/2108.05623,,https://huggingface.co/papers/2108.05623,,,,2108.05623,3,0 Phase Transitions in the Detection of Correlated Databases,"Dor Elimelech, Wasim Huleihel",http://arxiv.org/abs/2302.03380,,https://huggingface.co/papers/2302.03380,,,,2302.03380,2,0 New metrics and search algorithms for weighted causal DAGs,"Davin Choo, Kirankumar Shiragur",http://arxiv.org/abs/2305.04445,,https://huggingface.co/papers/2305.04445,,,,2305.04445,2,0 @@ -1156,12 +1156,12 @@ Policy Evaluation and Temporal-Difference Learning in Continuous Time and Space: VIMA: Robot Manipulation with Multimodal Prompts,"Yunfan Jiang, Agrim Gupta, Zichen Zhang, Guanzhi Wang, Yongqiang Dou, Yanjun Chen, Li Fei-Fei, Anima Anandkumar, Yuke Zhu, Jim Fan",,,,,,,,, StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes,"Vaibhav Bihani, Sahil Manchanda, Srikanth Sastry, Sayan Ranu, N M Anoop Krishnan",http://arxiv.org/abs/2301.12477,,https://huggingface.co/papers/2301.12477,,,,2301.12477,5,1 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 +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,,,,2303.02484,8,1 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,,,,2305.18379,4,1 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 +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,,,,2108.11684,6,1 Understanding Plasticity in Neural Networks,"Clare Lyle, Zeyu Zheng, Evgenii Nikishin, Bernardo Avila Pires, Razvan Pascanu, Will Dabney",http://arxiv.org/abs/2303.01486,,https://huggingface.co/papers/2303.01486,,,,2303.01486,6,0 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",,,,,,,,, @@ -1169,7 +1169,7 @@ Interval Bound Interpolation for Few-shot Learning with Few Tasks,"Shounak Datta 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,,,,2301.11351,6,2 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 +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,,,,2212.02483,3,1 Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning,"Junyi Zhu, Ruicong Yao, Matthew B Blaschko",http://arxiv.org/abs/2306.00127,https://github.com/JunyiZhu-AI/surrogate_model_extension,https://huggingface.co/papers/2306.00127,,,,2306.00127,3,0 "The SSL Interplay: Augmentations, Inductive Bias, and Generalization","Vivien Cabannnes, Bobak T Kiani, Randall Balestriero, Yann LeCun, Alberto Bietti",http://arxiv.org/abs/2302.02774,,https://huggingface.co/papers/2302.02774,,,,2302.02774,5,0 Convergence of first-order methods for nonconvex constrained optimization with dependent data,"Hanbaek Lyu, Ahmet Alacaoglu",,,,,,,,, @@ -1177,10 +1177,10 @@ CogQA: Answering Advanced Questions on Scientific Articles,"Yoonjoo Lee, Kyungja Instrumental Variable Estimation of Average Partial Causal Effects,"Yuta Kawakami, manabu kuroki, Jin Tian",,,,,,,,, Improving Adversarial Robustness Through the Contrastive-Guided Diffusion Process,"Yidong Ouyang, Liyan Xie, Guang Cheng",,,,,,,,, MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks,"Wenfang Sun, Yingjun Du, Xiantong Zhen, Fan Wang, Ling Wang, Cees Snoek",http://arxiv.org/abs/2305.10309,,https://huggingface.co/papers/2305.10309,,,,2305.10309,6,0 -Provable Dynamic Fusion for Low-Quality Multimodal Data,"qingyang zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng",http://arxiv.org/abs/2306.02050,,https://huggingface.co/papers/2306.02050,,,,2306.02050,7,0 +Provable Dynamic Fusion for Low-Quality Multimodal Data,"qingyang zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng",http://arxiv.org/abs/2306.02050,,https://huggingface.co/papers/2306.02050,,,,2306.02050,7,1 Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering,"Erlin Pan, zhao kang",http://arxiv.org/abs/2305.02931,,https://huggingface.co/papers/2305.02931,,,,2305.02931,2,1 SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation,"Huaishao Luo, Junwei Bao, Youzheng Wu, Xiaodong He, Tianrui Li",http://arxiv.org/abs/2211.14813,https://github.com/ArrowLuo/SegCLIP,https://huggingface.co/papers/2211.14813,,,,2211.14813,5,0 -Explainability as statistical inference,"Hugo Senetaire, Damien Garreau, Jes Frellsen, Pierre-Alexandre Mattei",http://arxiv.org/abs/2212.03131,,https://huggingface.co/papers/2212.03131,,,,2212.03131,4,0 +Explainability as statistical inference,"Hugo Senetaire, Damien Garreau, Jes Frellsen, Pierre-Alexandre Mattei",http://arxiv.org/abs/2212.03131,,https://huggingface.co/papers/2212.03131,,,,2212.03131,4,1 Learning Prescriptive ReLU Networks,"Wei Sun, Asterios Tsiourvas",http://arxiv.org/abs/2306.00651,,https://huggingface.co/papers/2306.00651,,,,2306.00651,2,0 Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions,"Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Jie-Jing Shao, Yuke Xiang, Yu-Feng Li",,,,,,,,, Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels,"Simone Bombari, Shayan Kiyani, Marco Mondelli",http://arxiv.org/abs/2302.01629,,https://huggingface.co/papers/2302.01629,,,,2302.01629,3,0 @@ -1197,12 +1197,12 @@ Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines? 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 -Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation,"Jin-Hong Du, Pratik Patil, Arun Kuchibhotla",http://arxiv.org/abs/2304.13016,,https://huggingface.co/papers/2304.13016,,,,2304.13016,3,0 +Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation,"Jin-Hong Du, Pratik Patil, Arun Kuchibhotla",http://arxiv.org/abs/2304.13016,,https://huggingface.co/papers/2304.13016,,,,2304.13016,3,1 Second-Order Optimization with Lazy Hessians,"Nikita Doikov, El Mahdi Chayti, Martin Jaggi",http://arxiv.org/abs/2212.00781,,https://huggingface.co/papers/2212.00781,,,,2212.00781,3,1 Generalized Teacher Forcing for Learning Chaotic Dynamics,"Florian Hess, Zahra Monfared, Manuel Brenner, Daniel Durstewitz",http://arxiv.org/abs/2306.04406,,https://huggingface.co/papers/2306.04406,,,,2306.04406,4,0 HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption,"Seewoo Lee, Garam Lee, Jung Woo Kim, Junbum Shin, Mun-Kyu Lee",,,,,,,,, Marginalization is not Marginal: No Bad VAE Local Minima when Learning Optimal Sparse Representations,David Wipf,,,,,,,,, -Direct Parameterization of Lipschitz-Bounded Deep Networks,"Ruigang Wang, Ian Manchester",http://arxiv.org/abs/2301.11526,https://github.com/acfr/LBDN,https://huggingface.co/papers/2301.11526,,,,2301.11526,2,0 +Direct Parameterization of Lipschitz-Bounded Deep Networks,"Ruigang Wang, Ian Manchester",http://arxiv.org/abs/2301.11526,https://github.com/acfr/LBDN,https://huggingface.co/papers/2301.11526,,,,2301.11526,2,1 XAI Beyond Classification: Interpretable Neural Clustering,"Xi Peng, Yunfan Li, Ivor W. Tsang, Hongyuan Zhu, Jiancheng Lv, Joey Tianyi Zhou",http://arxiv.org/abs/1808.07292,,https://huggingface.co/papers/1808.07292,,,,1808.07292,6,1 Exploiting locality in high-dimensional Factorial hidden Markov models,"Lorenzo Rimella, Nick Whiteley",http://arxiv.org/abs/1902.01639,,https://huggingface.co/papers/1902.01639,,,,1902.01639,2,0 Mitigating the Effects of Non-Identifiability on Inference for Bayesian Neural Networks with Latent Variables,"Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez",http://arxiv.org/abs/1911.00569,,https://huggingface.co/papers/1911.00569,,,,1911.00569,3,0 @@ -1227,11 +1227,11 @@ ChiPFormer: Transferable Chip Placement via Offline Decision Transformer,"Yao LA OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Model,"Enshu Liu, Xuefei Ning, Zinan Lin, Huazhong Yang, Yu Wang",,,,,,,,, Effectively Using Public Data in Privacy Preserving Machine Learning,"Milad Nasresfahani, Saeed Mahloujifar, Xinyu Tang, Prateek Mittal, Amir Houmansadr",,,,,,,,, Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection,"Haoyue Bai, Gregory Canal, Xuefeng Du, Jeongyeol Kwon, Robert Nowak, Yixuan Li",http://arxiv.org/abs/2306.09158,https://github.com/deeplearning-wisc/scone,https://huggingface.co/papers/2306.09158,,,,2306.09158,6,0 -Discovering Object-Centric Generalized Value Functions From Pixels,"Somjit Nath, Gopeshh Subbaraj, Khimya Khetarpal, Samira Ebrahimi Kahou",http://arxiv.org/abs/2304.13892,,https://huggingface.co/papers/2304.13892,,,,2304.13892,4,0 +Discovering Object-Centric Generalized Value Functions From Pixels,"Somjit Nath, Gopeshh Subbaraj, Khimya Khetarpal, Samira Ebrahimi Kahou",http://arxiv.org/abs/2304.13892,,https://huggingface.co/papers/2304.13892,,,,2304.13892,4,1 Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning,"Thomas Carta, Clément Romac, Thomas Wolf, sylvain lamprier, Olivier Sigaud, Pierre-Yves Oudeyer",http://arxiv.org/abs/2302.02662,,https://huggingface.co/papers/2302.02662,,,,2302.02662,6,1 FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction,"Yongxin Guo, Xiaoying Tang, Tao Lin",http://arxiv.org/abs/2205.13462,https://github.com/lins-lab/fedbr,https://huggingface.co/papers/2205.13462,,,,2205.13462,3,0 Shiftable Context: Addressing Training-Inference Context Mismatch in Simultaneous Speech Translation,"Matthew Raffel, Drew Penney, Lizhong Chen",,,,,,,,, -Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning,"Yu Yang, Besmira Nushi, Hamid Palangi, Baharan Mirzasoleiman",http://arxiv.org/abs/2304.03916,,https://huggingface.co/papers/2304.03916,,,,2304.03916,4,0 +Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning,"Yu Yang, Besmira Nushi, Hamid Palangi, Baharan Mirzasoleiman",http://arxiv.org/abs/2304.03916,,https://huggingface.co/papers/2304.03916,,,,2304.03916,4,1 Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement,"Ailin Deng, Miao Xiong, Bryan Hooi",http://arxiv.org/abs/2305.01481,,https://huggingface.co/papers/2305.01481,,,,2305.01481,3,0 Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection,"XiaoHui Zhang, Jiangyan Yi, Jianhua Tao, Chenglong Wang, Chu Yuan Zhang",,,,,,,,, FAIRER: Fairness as Decision Rationale Alignment,"Li Tianlin, Qing Guo, Aishan Liu, Mengnan Du, Zhiming Li, Yang Liu",,,,,,,,, @@ -1239,7 +1239,7 @@ Deep Graph Representation Learning and Optimization for Influence Maximization," Improving Fair Training under Correlation Shifts,"Yuji Roh, Kangwook Lee, Steven Whang, Changho Suh",http://arxiv.org/abs/2302.02323,,https://huggingface.co/papers/2302.02323,,,,2302.02323,4,0 SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning,"Junran Wu, Xueyuan Chen, Bowen Shi, Shangzhe Li, Ke Xu",http://arxiv.org/abs/2305.04501,,https://huggingface.co/papers/2305.04501,,,,2305.04501,5,0 ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction,"Wang Zhang, Lily Weng, Subhro Das, Alexandre Megretsky, Luca Daniel, Lam Nguyen",http://arxiv.org/abs/2302.05783,,https://huggingface.co/papers/2302.05783,,,,2302.05783,6,0 -Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting,"Shayan Shirahmad Gale Bagi, Zahra Gharaee, Oliver Schulte, Mark Crowley",http://arxiv.org/abs/2302.08635,https://github.com/sshirahmad/GCRL,https://huggingface.co/papers/2302.08635,,,,2302.08635,4,0 +Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting,"Shayan Shirahmad Gale Bagi, Zahra Gharaee, Oliver Schulte, Mark Crowley",http://arxiv.org/abs/2302.08635,https://github.com/sshirahmad/GCRL,https://huggingface.co/papers/2302.08635,,,,2302.08635,4,1 Meta Optimal Transport,"Brandon Amos, Giulia Luise, samuel cohen, Ievgen Redko",http://arxiv.org/abs/2206.05262,,https://huggingface.co/papers/2206.05262,,,,2206.05262,4,1 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",,,,,,,,, @@ -1249,7 +1249,7 @@ The Benefits of Mixup for Feature Learning,"Difan Zou, Yuan Cao, Yuanzhi Li, Qua GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks,"Salah GHAMIZI, Jingfeng ZHANG, Maxime Cordy, Mike Papadakis, Masashi Sugiyama, YVES LE TRAON",http://arxiv.org/abs/2302.02907,,https://huggingface.co/papers/2302.02907,,,,2302.02907,6,0 Test-time Adaptation with Slot-Centric Models,"Mihir Prabhudesai, Anirudh Goyal, Sujoy Paul, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gaurav Aggarwal, Thomas Kipf, Deepak Pathak, Katerina Fragkiadaki",http://arxiv.org/abs/2203.11194,,https://huggingface.co/papers/2203.11194,,,,2203.11194,9,2 Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification,"Dong Xing, Pengjie Gu, Qian Zheng, Xinrun Wang, Shanqi Liu, Longtao Zheng, Bo An, Gang Pan",,,,,,,,, -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 +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,,,,2302.09195,2,1 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",,,,,,,,, @@ -1272,7 +1272,7 @@ Simple Hardware-Efficient Long Convolutions for Sequence Modeling,"Daniel Y Fu, Towards Controlled Data Augmentations for Active Learning,"Jianan Yang, Jianan Yang, Haobo Wang, Sai Wu, Gang Chen, Junbo Zhao",,,,,,,,, "Bigger, Better, Faster: Human-level Atari with human-level efficiency","Max Schwarzer, Johan Obando Ceron, Aaron Courville, Marc Bellemare, Rishabh Agarwal, Pablo Samuel Castro",http://arxiv.org/abs/2305.19452,https://github.com/google-research/google-research/tree/master/bigger_better_faster,https://huggingface.co/papers/2305.19452,,,,2305.19452,6,3 A Law of Robustness beyond Isoperimetry,"Yihan Wu, Heng Huang, Hongyang Zhang",http://arxiv.org/abs/2202.11592,,https://huggingface.co/papers/2202.11592,,,,2202.11592,3,0 -Federated Conformal Predictors for Distributed Uncertainty Quantification,"Charles Lu, Yaodong Yu, Sai Karimireddy, Michael Jordan, Ramesh Raskar",http://arxiv.org/abs/2305.17564,https://github.com/clu5/federated-conformal,https://huggingface.co/papers/2305.17564,,,,2305.17564,5,0 +Federated Conformal Predictors for Distributed Uncertainty Quantification,"Charles Lu, Yaodong Yu, Sai Karimireddy, Michael Jordan, Ramesh Raskar",http://arxiv.org/abs/2305.17564,https://github.com/clu5/federated-conformal,https://huggingface.co/papers/2305.17564,,,,2305.17564,5,1 Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes,"Marin Ballu, Quentin Berthet",http://arxiv.org/abs/2211.10420,,https://huggingface.co/papers/2211.10420,,,,2211.10420,2,0 From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning,"Edwige Cyffers, Aurélien Bellet, Debabrota Basu",http://arxiv.org/abs/2302.12559,,https://huggingface.co/papers/2302.12559,,,,2302.12559,3,0 Pareto Regret Analyses in Multi-objective Multi-armed Bandit,"Mengfan Xu, Diego Klabjan",http://arxiv.org/abs/2212.00884,,https://huggingface.co/papers/2212.00884,,,,2212.00884,2,0 @@ -1352,7 +1352,7 @@ Transformers Meet Directed Graphs,"Simon Markus Geisler, Yujia Li, Daniel Mankow 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",,,,,,,,, -Constrained Decision Transformer for Offline Safe Reinforcement Learning,"Zuxin Liu, Zijian Guo, Yihang Yao, Zhepeng Cen, Wenhao Yu, Tingnan Zhang, Ding Zhao",http://arxiv.org/abs/2302.07351,,https://huggingface.co/papers/2302.07351,,,,2302.07351,7,0 +Constrained Decision Transformer for Offline Safe Reinforcement Learning,"Zuxin Liu, Zijian Guo, Yihang Yao, Zhepeng Cen, Wenhao Yu, Tingnan Zhang, Ding Zhao",http://arxiv.org/abs/2302.07351,,https://huggingface.co/papers/2302.07351,,,,2302.07351,7,1 Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning,"Dingyang Chen, Qi Zhang",http://arxiv.org/abs/2306.01920,,https://huggingface.co/papers/2306.01920,,,,2306.01920,2,0 Graph Mixup with Soft Alignments,"Hongyi Ling, Zhimeng Jiang, Meng Liu, Shuiwang Ji, Na Zou",http://arxiv.org/abs/2306.06788,,https://huggingface.co/papers/2306.06788,,,,2306.06788,5,0 Regularizing Towards Soft Equivariance Under Mixed Symmetries,"Hyunsu Kim, Hyungi Lee, Hongseok Yang, Juho Lee",http://arxiv.org/abs/2306.00356,,https://huggingface.co/papers/2306.00356,,,,2306.00356,4,0 @@ -1367,7 +1367,7 @@ Not All Semantics are Created Equal: Contrastive Self-supervised Learning with A Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL,"Taku Yamagata, Ahmed Khalil, Raul Santos-Rodriguez",,,,,,,,, A Statistical Perspective on Retrieval-Based Models,"Soumya Basu, Ankit Singh Rawat, Manzil Zaheer",,,,,,,,, PFNs4BO: Meta-Learning the surrogate model for Bayesian optimization from scratch using Transformers,"Samuel Gabriel Müller, Matthias Feurer, Noah Hollmann, Frank Hutter",,,,,,,,, -"Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data","Boris van Breugel, Zhaozhi Qian, Mihaela van der Schaar",http://arxiv.org/abs/2305.09235,,https://huggingface.co/papers/2305.09235,,,,2305.09235,3,0 +"Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data","Boris van Breugel, Zhaozhi Qian, Mihaela van der Schaar",http://arxiv.org/abs/2305.09235,,https://huggingface.co/papers/2305.09235,,,,2305.09235,3,1 Controlled Differential Equations on Long Sequences via Non-standard Wavelets,"Sourav Pal, Zhanpeng Zeng, Sathya Ravi, Vikas Singh",,,,,,,,, Towards a better understanding of representation dynamics under TD-learning,"Yunhao Tang, Remi Munos",http://arxiv.org/abs/2305.18491,,https://huggingface.co/papers/2305.18491,,,,2305.18491,2,0 Reinforcement Learning with History Dependent Dynamic Contexts,"Guy Tennenholtz, Nadav Merlis, Lior Shani, Martin Mladenov, Craig Boutilier",,,,,,,,, @@ -1385,16 +1385,16 @@ Surrogate Module Learning: Reduce the Gradient Error Accumulation in Training Sp "mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video","Haiyang Xu, Qinghao Ye, Ming Yan, Yaya Shi, Jiabo Ye, yuanhong xu, Chenliang Li, Bin Bi, Qi Qian, Wei Wang, Guohai Xu, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou",,,,,,,,, Which Invariance Should We Transfer? A Causal Minimax Learning Approach,"Mingzhou Liu, Xiangyu Zheng, Xinwei Sun, Fang Fang, Yizhou Wang",http://arxiv.org/abs/2107.01876,,https://huggingface.co/papers/2107.01876,,,,2107.01876,5,0 Which is Better for Learning with Noisy Labels: The Semi-supervised Method or Modeling Label Noise?,"Yu Yao, Mingming Gong, Yuxuan Du, Jun Yu, Bo Han, Kun Zhang, Tongliang Liu",,,,,,,,, -dugMatting: Decomposed-Uncertainty-Guided Matting,"Jiawei Wu, Changqing Zhang, Zuoyong Li, Huazhu Fu, Xi Peng, Joey Tianyi Zhou",http://arxiv.org/abs/2306.01452,,https://huggingface.co/papers/2306.01452,,,,2306.01452,6,0 +dugMatting: Decomposed-Uncertainty-Guided Matting,"Jiawei Wu, Changqing Zhang, Zuoyong Li, Huazhu Fu, Xi Peng, Joey Tianyi Zhou",http://arxiv.org/abs/2306.01452,,https://huggingface.co/papers/2306.01452,,,,2306.01452,6,2 Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum,"Jigang Kim, Daesol Cho, H. Kim",http://arxiv.org/abs/2305.09943,,https://huggingface.co/papers/2305.09943,,,,2305.09943,3,0 Prompting Large Language Model for Machine Translation: A Case Study,"Biao Zhang, Barry Haddow, Alexandra Birch",http://arxiv.org/abs/2301.07069,,https://huggingface.co/papers/2301.07069,,,,2301.07069,3,0 Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making,"Axel Abels, Tom Lenaerts, Vito Trianni, Ann Nowe",http://arxiv.org/abs/2305.01063,,https://huggingface.co/papers/2305.01063,,,,2305.01063,4,0 -Superhuman Fairness,"Omid Memarrast, Linh Vu, Brian Ziebart",http://arxiv.org/abs/2301.13420,,https://huggingface.co/papers/2301.13420,,,,2301.13420,3,0 +Superhuman Fairness,"Omid Memarrast, Linh Vu, Brian Ziebart",http://arxiv.org/abs/2301.13420,,https://huggingface.co/papers/2301.13420,,,,2301.13420,3,1 PWSHAP: A Path-Wise Explanation Model for Targeted Variables,"Lucile Ter-Minassian, Oscar Clivio, Karla DiazOrdaz, Robin Evans, Christopher Holmes",,,,,,,,, "DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference","Wanrong Zhang, Ruqi Zhang",http://arxiv.org/abs/2303.06171,,https://huggingface.co/papers/2303.06171,,,,2303.06171,2,0 Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits,"Jongyeong Lee, Junya Honda, Chao-Kai Chiang, Masashi Sugiyama",http://arxiv.org/abs/2302.01544,,https://huggingface.co/papers/2302.01544,,,,2302.01544,4,0 Multiply Robust Off-policy Evaluation and Learning under Truncation by Death,"Jianing Chu, Shu Yang, Wenbin Lu",,,,,,,,, -Run-off Election: Improved Provable Defense against Data Poisoning Attacks,"Keivan Rezaei, Kiarash Banihashem, Atoosa Chegini, Soheil Feizi",http://arxiv.org/abs/2302.02300,,https://huggingface.co/papers/2302.02300,,,,2302.02300,4,0 +Run-off Election: Improved Provable Defense against Data Poisoning Attacks,"Keivan Rezaei, Kiarash Banihashem, Atoosa Chegini, Soheil Feizi",http://arxiv.org/abs/2302.02300,,https://huggingface.co/papers/2302.02300,,,,2302.02300,4,1 The Ideal Continual Learner: An Agent That Never Forgets,"Liangzu Peng, Paris Giampouras, Rene Vidal",http://arxiv.org/abs/2305.00316,,https://huggingface.co/papers/2305.00316,,,,2305.00316,3,0 Consistency of Multiple Kernel Clustering,"Weixuan Liang, Xinwang Liu, Yong Liu, Chuan Ma, Yunping Zhao, Zhe Liu, En Zhu",,,,,,,,, Oscillation-free Quantization for Low-bit Vision Transformers,"Shih-Yang liu, Zechun Liu, Kwang-Ting Cheng",http://arxiv.org/abs/2302.02210,https://github.com/nbasyl/OFQ,https://huggingface.co/papers/2302.02210,,,,2302.02210,3,0 @@ -1468,7 +1468,7 @@ Learning Expressive Priors for Generalization and Uncertainty Estimation in Neur Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs,"Michael Kirchhof, Enkelejda Kasneci, Seong Joon Oh",http://arxiv.org/abs/2302.02865,https://github.com/mkirchhof/Probabilistic_Contrastive_Learning,https://huggingface.co/papers/2302.02865,,,,2302.02865,3,0 Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains,"Matthew Dowling, Yuan Zhao, Memming Park",http://arxiv.org/abs/2306.01802,,https://huggingface.co/papers/2306.01802,,,,2306.01802,3,0 Learning Control by Iterative Inversion,"Gal Leibovich, Guy Jacob, Or Avner, Gal Novik, Aviv Tamar",http://arxiv.org/abs/2211.01724,,https://huggingface.co/papers/2211.01724,,,,2211.01724,5,2 -Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning,"Tongzhou Wang, Antonio Torralba, Phillip Isola, Amy Zhang",http://arxiv.org/abs/2304.01203,,https://huggingface.co/papers/2304.01203,,,,2304.01203,4,0 +Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning,"Tongzhou Wang, Antonio Torralba, Phillip Isola, Amy Zhang",http://arxiv.org/abs/2304.01203,,https://huggingface.co/papers/2304.01203,,,,2304.01203,4,1 DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm,"Yunhao Tang, Tadashi Kozuno, Mark Rowland, Anna Harutyunyan, Remi Munos, Bernardo Avila Pires, Michal Valko",,,,,,,,, On the Global Convergence of Risk-Averse Policy Gradient Methods with Expected Conditional Risk Measures,"Xian Yu, Lei Ying",http://arxiv.org/abs/2301.10932,,https://huggingface.co/papers/2301.10932,,,,2301.10932,2,0 Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling,"Yuta Saito, Qingyang Ren, Thorsten Joachims",http://arxiv.org/abs/2305.08062,,https://huggingface.co/papers/2305.08062,,,,2305.08062,3,0 @@ -1478,10 +1478,10 @@ Additive Causal Bandits with Unknown Graph,"Alan Malek, Virginia Aglietti, Silvi Minimizing Trajectory Curvature of ODE-based Generative Models,"Sangyun Lee, Beomsu Kim, Jongchul Ye",http://arxiv.org/abs/2301.12003,https://github.com/sangyun884/fast-ode,https://huggingface.co/papers/2301.12003,,,,2301.12003,3,0 All in a Row: Compressed Convolution Networks for Graphs,"Junshu Sun, Shuhui Wang, XINZHE HAN, Zhe Xue, Qingming Huang",,,,,,,,, Fast Sampling of Diffusion Models via Operator Learning,"Hongkai Zheng, Weili Nie, Arash Vahdat, Kamyar Azizzadenesheli, Anima Anandkumar",http://arxiv.org/abs/2211.13449,,https://huggingface.co/papers/2211.13449,,,,2211.13449,5,0 -Model-agnostic Measure of Generalization Difficulty,"Akhilan Boopathy, Kevin Liu, Jaedong Hwang, Shu Ge, Asaad Mohammedsaleh, Ila R. Fiete",http://arxiv.org/abs/2305.01034,,https://huggingface.co/papers/2305.01034,,,,2305.01034,6,0 +Model-agnostic Measure of Generalization Difficulty,"Akhilan Boopathy, Kevin Liu, Jaedong Hwang, Shu Ge, Asaad Mohammedsaleh, Ila R. Fiete",http://arxiv.org/abs/2305.01034,,https://huggingface.co/papers/2305.01034,,,,2305.01034,6,1 Quantifying Human Priors over Social and Navigation Networks,Gecia Bravo-Hermsdorff,,,,,,,,, Solving High-Dimensional PDEs with Latent Spectral Models,"Haixu Wu, Tengge Hu, huakun luo, Jianmin Wang, Mingsheng Long",http://arxiv.org/abs/2301.12664,https://github.com/thuml/Latent-Spectral-Models,https://huggingface.co/papers/2301.12664,,,,2301.12664,5,0 -Analyzing Diffusion as Serial Reproduction,"Raja Marjieh, Ilia Sucholutsky, Thomas Langlois, Nori Jacoby, Thomas Griffiths",http://arxiv.org/abs/2209.14821,,https://huggingface.co/papers/2209.14821,,,,2209.14821,5,0 +Analyzing Diffusion as Serial Reproduction,"Raja Marjieh, Ilia Sucholutsky, Thomas Langlois, Nori Jacoby, Thomas Griffiths",http://arxiv.org/abs/2209.14821,,https://huggingface.co/papers/2209.14821,,,,2209.14821,5,1 PAC Prediction Sets for Large Language Models of Code,"Adam Khakhar, Stephen Mell, Osbert Bastani",http://arxiv.org/abs/2302.08703,,https://huggingface.co/papers/2302.08703,,,,2302.08703,3,0 AutoCoreset: An Automatic Practical Coreset Construction Framework,"Alaa Maalouf, Morad Tukan, Vladimir Braverman, Daniela Rus",http://arxiv.org/abs/2305.11980,https://github.com/alaamaalouf/AutoCoreset,https://huggingface.co/papers/2305.11980,,,,2305.11980,4,0 Learning Perturbations to Explain Time Series Predictions,Joseph Enguehard,http://arxiv.org/abs/2305.18840,,https://huggingface.co/papers/2305.18840,,,,2305.18840,1,1 @@ -1506,12 +1506,12 @@ Beyond In-Domain Scenarios: Robust Density-Aware Calibration,"Christian Tomani, Towards Unbiased Training in Federated Open-world Semi-supervised Learning,"Jie ZHANG, Xiaosong Ma, Song Guo, Wenchao Xu",http://arxiv.org/abs/2305.00771,,https://huggingface.co/papers/2305.00771,,,,2305.00771,4,0 Efficient Training of Language Models using Few-Shot Learning,"Sashank Jakkam Reddi, Sobhan Miryoosefi, Stefani Karp, Shankar Krishnan, Satyen Kale, Seungyeon Kim, Sanjiv Kumar",,,,,,,,, Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning,"Jaehyung Kim, Jinwoo Shin, Dongyeop Kang",http://arxiv.org/abs/2306.04925,,https://huggingface.co/papers/2306.04925,,,,2306.04925,3,0 -Controlled Text Generation with Natural Language Instructions,"Wangchunshu Zhou, Yuchen Jiang, Ethan Wilcox, Ryan Cotterell, Mrinmaya Sachan",http://arxiv.org/abs/2304.14293,,https://huggingface.co/papers/2304.14293,,,,2304.14293,5,0 +Controlled Text Generation with Natural Language Instructions,"Wangchunshu Zhou, Yuchen Jiang, Ethan Wilcox, Ryan Cotterell, Mrinmaya Sachan",http://arxiv.org/abs/2304.14293,,https://huggingface.co/papers/2304.14293,,,,2304.14293,5,1 MAGANet: Achieving Combinatorial Generalization by Modeling a Group Action,"Geonho Hwang, Jaewoong Choi, Hyunsoo Cho, Myungjoo Kang",,,,,,,,, Identifying Useful Learnwares for Heterogeneous Label Spaces,"Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li, Zhi-Hua Zhou",,,,,,,,, Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks,"Peng XU, Lin Zhang, Xuanzhou Liu, Jiaqi Sun, Yue Zhao, Haiqin Yang, Bei Yu",http://arxiv.org/abs/2305.14065,,https://huggingface.co/papers/2305.14065,,,,2305.14065,7,0 Efficient Personalized Federated Learning via Sparse Model-Adaptation,"Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li",http://arxiv.org/abs/2305.02776,,https://huggingface.co/papers/2305.02776,,,,2305.02776,5,0 -D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching,"Xuanzhou Liu, Lin Zhang, Jiaqi Sun, Yujiu Yang, Haiqin Yang",http://arxiv.org/abs/2306.06380,,https://huggingface.co/papers/2306.06380,,,,2306.06380,5,0 +D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching,"Xuanzhou Liu, Lin Zhang, Jiaqi Sun, Yujiu Yang, Haiqin Yang",http://arxiv.org/abs/2306.06380,,https://huggingface.co/papers/2306.06380,,,,2306.06380,5,1 What Makes Entities Similar? A Similarity Flooding Perspective for Multi-sourced Knowledge Graph Embeddings,"Zequn Sun, Jiacheng Huang, Xiaozhou Xu, Qijin Chen, Weijun Ren, Wei Hu",http://arxiv.org/abs/2306.02622,,https://huggingface.co/papers/2306.02622,,,,2306.02622,6,0 CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models,"Zhiyuan Yu, Yuhao Wu, Ning Zhang, Chenguang Wang, Yevgeniy Vorobeychik, Chaowei Xiao",,,,,,,,, FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization,"Zhen WANG, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li",,,,,,,,, @@ -1520,17 +1520,17 @@ Multi-Layer Neural Networks as Trainable Ladders of Hilbert Spaces,Zhengdao Chen Gradient Descent Finds the Global Optima of Two-Layer Physics-Informed Neural Networks,"Yihang Gao, Yiqi Gu, Michael Ng",,,,,,,,, Sampling-based Nyström Approximation and Kernel Quadrature,"Satoshi Hayakawa, Harald Oberhauser, Terry Lyons",,,,,,,,, Sample Complexity of Probability Divergences under Group Symmetry,"Ziyu Chen, Markos Katsoulakis, Luc Rey-Bellet, Wei Zhu",http://arxiv.org/abs/2302.01915,,https://huggingface.co/papers/2302.01915,,,,2302.01915,4,0 -Personalized Federated Learning under Mixture of Distributions,"Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng",http://arxiv.org/abs/2305.01068,,https://huggingface.co/papers/2305.01068,,,,2305.01068,8,0 +Personalized Federated Learning under Mixture of Distributions,"Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng",http://arxiv.org/abs/2305.01068,,https://huggingface.co/papers/2305.01068,,,,2305.01068,8,1 DIVISION: Memory Efficient Training via Dual Activation Precision,"Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Hu",http://arxiv.org/abs/2208.04187,,https://huggingface.co/papers/2208.04187,,,,2208.04187,6,0 Fair yet Asymptotically Equal Collaborative Learning,"Xiaoqiang Lin, Xinyi Xu, See-Kiong Ng, Chuan-Sheng Foo, Bryan Kian Hsiang Low",http://arxiv.org/abs/2306.05764,,https://huggingface.co/papers/2306.05764,,,,2306.05764,5,0 FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization,"Hao Zhang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong",,,,,,,,, Retrosynthetic Planning with Dual Value Networks,"Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu",http://arxiv.org/abs/2301.13755,,https://huggingface.co/papers/2301.13755,,,,2301.13755,10,0 Optimizing NOTEARS Objectives via Topological Swaps,"Chang Deng, Kevin Bello, Bryon Aragam, Pradeep Ravikumar",http://arxiv.org/abs/2305.17277,https://github.com/duntrain/topo,https://huggingface.co/papers/2305.17277,,,,2305.17277,4,0 Matrix Estimation for Individual Fairness,"Cindy Zhang, Sarah Cen, Devavrat Shah",http://arxiv.org/abs/2302.02096,,https://huggingface.co/papers/2302.02096,,,,2302.02096,3,1 -Understanding the Impact of Adversarial Robustness on Accuracy Disparity,"Yuzheng Hu, Fan Wu, Hongyang Zhang, Han Zhao",http://arxiv.org/abs/2211.15762,https://github.com/Accuracy-Disparity/AT-on-AD,https://huggingface.co/papers/2211.15762,,,,2211.15762,4,0 +Understanding the Impact of Adversarial Robustness on Accuracy Disparity,"Yuzheng Hu, Fan Wu, Hongyang Zhang, Han Zhao",http://arxiv.org/abs/2211.15762,https://github.com/Accuracy-Disparity/AT-on-AD,https://huggingface.co/papers/2211.15762,,,,2211.15762,4,1 Identifiability of Label Noise Transition Matrix,"Yang Liu, Hao Cheng, Kun Zhang",http://arxiv.org/abs/2202.02016,,https://huggingface.co/papers/2202.02016,,,,2202.02016,3,0 Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation,"Weijian Deng, Yumin Suh, Stephen Gould, Liang Zheng",,,,,,,,, -Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics,"Pingchuan Ma, Peter Yichen Chen, Bolei Deng, Josh Tenenbaum, Tao Du, Chuang Gan, Wojciech Matusik",http://arxiv.org/abs/2304.14369,,https://huggingface.co/papers/2304.14369,,,,2304.14369,7,0 +Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics,"Pingchuan Ma, Peter Yichen Chen, Bolei Deng, Josh Tenenbaum, Tao Du, Chuang Gan, Wojciech Matusik",http://arxiv.org/abs/2304.14369,,https://huggingface.co/papers/2304.14369,,,,2304.14369,7,1 Random Grid Neural Processes for Parametric Partial Differential Equations,"Arnaud Vadeboncoeur, Ieva Kazlauskaite, Yanni Papandreou, Fehmi Cirak, Mark Girolami, Omer Deniz Akyildiz",http://arxiv.org/abs/2301.11040,,https://huggingface.co/papers/2301.11040,,,,2301.11040,6,0 Revisiting Structured Variational Autoencoders,"Yixiu Zhao, Scott Linderman",http://arxiv.org/abs/2305.16543,,https://huggingface.co/papers/2305.16543,,,,2305.16543,2,0 MODeL: Memory Optimizations for Deep Learning,"Benoit Steiner, Mostafa Elhoushi, Jacob Kahn, James Hegarty",,,,,,,,, @@ -1568,7 +1568,7 @@ FLEX: an Adaptive Exploration Algorithm for Nonlinear Systems,"Matthieu Blanke, Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian,"Haiyang Yu, Zhao Xu, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji",http://arxiv.org/abs/2306.04922,https://github.com/divelab/AIRS,https://huggingface.co/papers/2306.04922,,,,2306.04922,5,0 Unifying Molecular and Textual Representations via Multi-task Language Modelling,"Dimitrios Christofidellis, Giorgio Giannone, Jannis Born, Ole Winther, Teodoro Laino, Matteo Manica",http://arxiv.org/abs/2301.12586,,https://huggingface.co/papers/2301.12586,,,,2301.12586,6,1 On the Functional Similarity of Robust and Non-Robust Neural Representations,"András Balogh, Mark Jelasity",,,,,,,,, -Probabilistic Concept Bottleneck Models,"Eunji Kim, Dahuin Jung, Sangha Park, Siwon Kim, Sungroh Yoon",http://arxiv.org/abs/2306.01574,https://github.com/ejkim47/prob-cbm,https://huggingface.co/papers/2306.01574,,,,2306.01574,5,0 +Probabilistic Concept Bottleneck Models,"Eunji Kim, Dahuin Jung, Sangha Park, Siwon Kim, Sungroh Yoon",http://arxiv.org/abs/2306.01574,https://github.com/ejkim47/prob-cbm,https://huggingface.co/papers/2306.01574,,,,2306.01574,5,1 Domain Adaptation Under Relaxed Label Shift,"Saurabh Garg, Nick Erickson, University of California James Sharpnack, Alex Smola, Sivaraman Balakrishnan, Zachary Lipton",,,,,,,,, Learning Noisy OR Bayesian Networks with Max-Product Belief Propagation,"Antoine Dedieu, Guangyao Zhou, Dileep George, Miguel Lazaro-Gredilla",,,,,,,,, Scaling Laws for Reward Model Overoptimization,"Leo Gao, John Schulman, Jacob Hilton",http://arxiv.org/abs/2210.10760,,https://huggingface.co/papers/2210.10760,,,,2210.10760,3,0 @@ -1596,15 +1596,15 @@ Hidden symmetries of ReLU networks,"Elisenda Grigsby, Kathryn Lindsey, David Rol Modeling Dynamic Environments with Scene Graph Memory,"Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Emily Jin, Chengshu Li, Ruohan Zhang, Li Fei-Fei, Jiajun Wu, Silvio Savarese, Roberto Martín-Martín",http://arxiv.org/abs/2305.17537,,https://huggingface.co/papers/2305.17537,,,,2305.17537,10,1 Motion Question Answering via Modular Motion Programs,"Mark Endo, Joy Hsu, Jiaman Li, Jiajun Wu",http://arxiv.org/abs/2305.08953,,https://huggingface.co/papers/2305.08953,,,,2305.08953,4,0 Homomorphism AutoEncoder --- Learning Group Structured Representations from Observed Transitions,"Hamza Keurti, Hsiao-Ru Pan, Michel Besserve, Benjamin F. Grewe, Bernhard Schölkopf",,,,,,,,, -MEWL: Few-shot multimodal word learning with referential uncertainty,"Guangyuan Jiang, Manjie Xu, Shiji Xin, Wei Liang, Yujia Peng, Chi Zhang, Yixin Zhu",http://arxiv.org/abs/2306.00503,,https://huggingface.co/papers/2306.00503,,,,2306.00503,7,0 +MEWL: Few-shot multimodal word learning with referential uncertainty,"Guangyuan Jiang, Manjie Xu, Shiji Xin, Wei Liang, Yujia Peng, Chi Zhang, Yixin Zhu",http://arxiv.org/abs/2306.00503,,https://huggingface.co/papers/2306.00503,,,,2306.00503,7,1 Neural Stochastic Differential Games for Time-series Analysis,"Sung Woo Park, Byoungwoo Park, Moontae Lee, Changhee Lee",,,,,,,,, Learning Physical Models that Can Respect Conservation Laws,"Derek Hansen, Danielle Robinson, Shima Alizadeh, Gaurav Gupta, Michael Mahoney",http://arxiv.org/abs/2302.11002,,https://huggingface.co/papers/2302.11002,,,,2302.11002,5,0 Implicit Neural Spatial Representations for Time-dependent PDEs,"Honglin Chen, Rundi Wu, Eitan Grinspun, Changxi Zheng, Peter Yichen Chen",http://arxiv.org/abs/2210.00124,,https://huggingface.co/papers/2210.00124,,,,2210.00124,5,0 On the Estimation of Gaussian Mixture Copula Models,Ashu Tewari,,,,,,,,, Patch-level Contrastive Learning via Positional Query for Visual Pre-training,"Shaofeng Zhang, Qiang Zhou, Zhibin Wang, Fan Wang, Junchi Yan",,,,,,,,, Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs,"Lirong Wu, Haitao Lin, Yufei Huang, Stan Z Li",http://arxiv.org/abs/2306.05628,,https://huggingface.co/papers/2306.05628,,,,2306.05628,4,0 -Improving Visual Prompt Tuning for Self-supervised Vision Transformers,"Seungryong Yoo, Eunji Kim, Dahuin Jung, JUNGBEOM LEE, Sungroh Yoon",http://arxiv.org/abs/2306.05067,https://github.com/ryongithub/GatedPromptTuning,https://huggingface.co/papers/2306.05067,,,,2306.05067,5,0 -Model-Aware Contrastive Learning: Towards Escaping the Dilemmas,"Zizheng Huang, Haoxing Chen, Ziqi Wen, Chao Zhang, Huaxiong Li, Bo Wang, Chunlin Chen",http://arxiv.org/abs/2207.07874,,https://huggingface.co/papers/2207.07874,,,,2207.07874,7,0 +Improving Visual Prompt Tuning for Self-supervised Vision Transformers,"Seungryong Yoo, Eunji Kim, Dahuin Jung, JUNGBEOM LEE, Sungroh Yoon",http://arxiv.org/abs/2306.05067,https://github.com/ryongithub/GatedPromptTuning,https://huggingface.co/papers/2306.05067,,,,2306.05067,5,1 +Model-Aware Contrastive Learning: Towards Escaping the Dilemmas,"Zizheng Huang, Haoxing Chen, Ziqi Wen, Chao Zhang, Huaxiong Li, Bo Wang, Chunlin Chen",http://arxiv.org/abs/2207.07874,,https://huggingface.co/papers/2207.07874,,,,2207.07874,7,1 A Closer Look at Few-shot Classification Again,"Xu Luo, Hao Wu, Ji Zhang, Lianli Gao, Jing Xu, Jingkuan Song",http://arxiv.org/abs/2301.12246,https://github.com/Frankluox/CloserLookAgainFewShot,https://huggingface.co/papers/2301.12246,,,,2301.12246,6,0 Structured Cooperative Learning with Graphical Model Priors,"Shuangtong Li, Tianyi Zhou, Xinmei Tian, Dacheng Tao",http://arxiv.org/abs/2306.09595,https://github.com/ShuangtongLi/SCooL,https://huggingface.co/papers/2306.09595,,,,2306.09595,4,1 On Penalty-based Bilevel Gradient Descent Method,"Han Shen, Tianyi Chen",http://arxiv.org/abs/2302.05185,,https://huggingface.co/papers/2302.05185,,,,2302.05185,3,0 @@ -1623,7 +1623,7 @@ On the Training Instability of Shuffling SGD with Batch Normalization,"David X. Dropout Reduces Underfitting,"Zhuang Liu, Zhiqiu (Oscar) Xu, Joseph Jin, Zhiqiang Shen, Trevor Darrell",http://arxiv.org/abs/2303.01500,https://github.com/facebookresearch/dropout,https://huggingface.co/papers/2303.01500,,,,2303.01500,5,0 A modern look at the relationship between sharpness and generalization,"Maksym Andriushchenko, Francesco Croce, Maximilian Müller, Matthias Hein, Nicolas Flammarion",http://arxiv.org/abs/2302.07011,https://github.com/tml-epfl/sharpness-vs-generalization,https://huggingface.co/papers/2302.07011,,,,2302.07011,5,1 Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes,"Zhaowei Zhu, Yuanshun Yao, Jiankai Sun, Hang Li, Yang Liu",http://arxiv.org/abs/2210.03175,,https://huggingface.co/papers/2210.03175,,,,2210.03175,5,0 -Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis,"Sanjay Kariyappa, Chuan Guo, Kiwan Maeng, Wenjie Xiong, G. Edward Suh, Moinuddin Qureshi, Hsien-Hsin Sean Lee",http://arxiv.org/abs/2209.05578,,https://huggingface.co/papers/2209.05578,,,,2209.05578,7,0 +Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis,"Sanjay Kariyappa, Chuan Guo, Kiwan Maeng, Wenjie Xiong, G. Edward Suh, Moinuddin Qureshi, Hsien-Hsin Sean Lee",http://arxiv.org/abs/2209.05578,,https://huggingface.co/papers/2209.05578,,,,2209.05578,7,1 On the Robustness of Randomized Ensembles to Adversarial Perturbations,"Hassan Dbouk, Naresh Shanbhag",http://arxiv.org/abs/2302.01375,https://github.com/hsndbk4/BARRE,https://huggingface.co/papers/2302.01375,,,,2302.01375,2,0 Graph Contrastive Backdoor Attacks,"Hangfan Zhang, Jinghui Chen, Lu Lin, Jinyuan Jia, Dinghao Wu",,,,,,,,, Exploring Model Dynamics for Accumulative Poisoning Discovery,"Jianing Zhu, Xiawei Guo, Jiangchao Yao, Chao Du, LI He, Shuo Yuan, Tongliang Liu, Liang Wang, Bo Han",http://arxiv.org/abs/2306.03726,https://github.com/tmlr-group/Memorization-Discrepancy,https://huggingface.co/papers/2306.03726,,,,2306.03726,9,0 @@ -1633,7 +1633,7 @@ Safe Offline Reinforcement Learning with Real-Time Budget Constraints,"qian lin, Semi-Offline Reinforcement Learning for Optimized Text Generation,"Changyu Chen, Xiting Wang, Yiqiao Jin, Victor Ye Dong, Li Dong, Rui Yan, Jie Cao, Yi Liu",http://arxiv.org/abs/2306.09712,,https://huggingface.co/papers/2306.09712,,,,2306.09712,8,0 LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework,"WOOJUN KIM, Jeonghye Kim, Youngchul Sung",,,,,,,,, Multi-task Representation Learning for Pure Exploration in Linear Bandits,"Yihan Du, Longbo Huang, Wen Sun",http://arxiv.org/abs/2302.04441,,https://huggingface.co/papers/2302.04441,,,,2302.04441,3,0 -Multi-Objective GFlowNets,"Moksh Jain, Sharath Chandra Raparthy, Alex Hernandez-Garcia, Jarrid Rector-Brooks, Yoshua Bengio, Santiago Miret, Emmanuel Bengio",http://arxiv.org/abs/2210.12765,,https://huggingface.co/papers/2210.12765,,,,2210.12765,7,0 +Multi-Objective GFlowNets,"Moksh Jain, Sharath Chandra Raparthy, Alex Hernandez-Garcia, Jarrid Rector-Brooks, Yoshua Bengio, Santiago Miret, Emmanuel Bengio",http://arxiv.org/abs/2210.12765,,https://huggingface.co/papers/2210.12765,,,,2210.12765,7,1 Long-Term Rhythmic Video Soundtracker,"Jiashuo Yu, Yaohui Wang, Xinyuan Chen, Xiao Sun, Yu Qiao",http://arxiv.org/abs/2305.01319,https://github.com/OpenGVLab/LORIS,https://huggingface.co/papers/2305.01319,,,,2305.01319,5,0 Global Context Vision Transformers,"Ali Hatamizadeh, Hongxu Yin, Greg Heinrich, Jan Kautz, Pavlo Molchanov",http://arxiv.org/abs/2206.09959,,https://huggingface.co/papers/2206.09959,,,,2206.09959,4,0 Modality-Agnostic Variational Compression of Implicit Neural Representations,"Jonathan Richard Schwarz, Jihoon Tack, Yee-Whye Teh, Jaeho Lee, Jinwoo Shin",http://arxiv.org/abs/2301.09479,,https://huggingface.co/papers/2301.09479,,,,2301.09479,5,0 @@ -1652,9 +1652,9 @@ Tighter Bounds on the Expressivity of Transformer Encoders,"David Chiang, Peter Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant Correlation,"Joonhyuk Yang, Shin Dongpil, Hye Won Chung",http://arxiv.org/abs/2305.19666,,https://huggingface.co/papers/2305.19666,,,,2305.19666,3,0 Causal Discovery with Latent Confounders Based on Higher-Order Cumulants,"Ruichu Cai, Zhiyi Huang, Wei Chen, Zhifeng Hao, Kun Zhang",http://arxiv.org/abs/2305.19582,,https://huggingface.co/papers/2305.19582,,,,2305.19582,5,0 The Computational Complexity of Concise Hypersphere Classification,"Eduard Eiben, Robert Ganian, Iyad Kanj, Sebastian Ordyniak, Stefan Szeider",,,,,,,,, -Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning,"Sébastien Lachapelle, Tristan Deleu, Divyat Mahajan, Ioannis Mitliagkas, Yoshua Bengio, Simon Lacoste-Julien, Quentin Bertrand",http://arxiv.org/abs/2211.14666,,https://huggingface.co/papers/2211.14666,,,,2211.14666,7,0 +Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning,"Sébastien Lachapelle, Tristan Deleu, Divyat Mahajan, Ioannis Mitliagkas, Yoshua Bengio, Simon Lacoste-Julien, Quentin Bertrand",http://arxiv.org/abs/2211.14666,,https://huggingface.co/papers/2211.14666,,,,2211.14666,7,1 Accelerated Stochastic Optimization Methods under Quasar-convexity,"Qiang Fu, Dongchu Xu, Ashia Wilson",http://arxiv.org/abs/2305.04736,,https://huggingface.co/papers/2305.04736,,,,2305.04736,3,0 -Learning Rate Schedules in the Presence of Distribution Shift,"Matthew Fahrbach, Adel Javanmard, Vahab Mirrokni, Pratik Worah",http://arxiv.org/abs/2303.15634,,https://huggingface.co/papers/2303.15634,,,,2303.15634,4,0 +Learning Rate Schedules in the Presence of Distribution Shift,"Matthew Fahrbach, Adel Javanmard, Vahab Mirrokni, Pratik Worah",http://arxiv.org/abs/2303.15634,,https://huggingface.co/papers/2303.15634,,,,2303.15634,4,1 Scalable Safe Policy Improvement via Monte Carlo Tree Search,"Alberto Castellini, Federico Bianchi, Edoardo Zorzi, Thiago Simão, Alessandro Farinelli, Matthijs T. J. Spaan",,,,,,,,, Provable Reset-free Reinforcement Learning by No-Regret Reduction,"Hoai-An Nguyen, Ching-An Cheng",http://arxiv.org/abs/2301.02389,,https://huggingface.co/papers/2301.02389,,,,2301.02389,2,0 Gibbsian Polar Slice Sampling,"Philip Schär, Michael Habeck, Daniel Rudolf",http://arxiv.org/abs/2302.03945,,https://huggingface.co/papers/2302.03945,,,,2302.03945,3,0 @@ -1672,7 +1672,7 @@ A Deep Conjugate Direction Method for Iteratively Solving Linear Systems,"Ayano Free-Form Variational Inference for Gaussian Process State-Space Models,"Xuhui Fan, Edwin V Bonilla, Terence O'kane, Scott SIsson",http://arxiv.org/abs/2302.09921,,https://huggingface.co/papers/2302.09921,,,,2302.09921,4,0 "Bayesian Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation of Latent Gaussian Models","Alexander Lin, Bahareh Tolooshams, Yves Atchade, Demba Ba",,,,,,,,, Von Mises Mixture Distributions for Molecular Conformation Generation,"Kirk Swanson, Jake Williams, Eric Jonas",http://arxiv.org/abs/2306.07472,,https://huggingface.co/papers/2306.07472,,,,2306.07472,3,0 -Unearthing InSights into Mars: Unsupervised Source Separation with Limited Data,"Ali Siahkoohi, Rudy Morel, Maarten de Hoop, Erwan Allys, Gregory Sainton, Taichi Kawamura",http://arxiv.org/abs/2301.11981,,https://huggingface.co/papers/2301.11981,,,,2301.11981,6,0 +Unearthing InSights into Mars: Unsupervised Source Separation with Limited Data,"Ali Siahkoohi, Rudy Morel, Maarten de Hoop, Erwan Allys, Gregory Sainton, Taichi Kawamura",http://arxiv.org/abs/2301.11981,,https://huggingface.co/papers/2301.11981,,,,2301.11981,6,1 Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration,"Dawei Zhou, Yukun Chen, Nannan Wang, Decheng Liu, Xinbo Gao, Tongliang Liu",,,,,,,,, Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning,"Yanbo Dai, Songze Li",http://arxiv.org/abs/2304.12961,,https://huggingface.co/papers/2304.12961,,,,2304.12961,2,0 Forget Unlearning: Towards True Data-Deletion in Machine Learning,"Rishav Chourasia, Neil Shah",http://arxiv.org/abs/2210.08911,,https://huggingface.co/papers/2210.08911,,,,2210.08911,2,0 @@ -1700,7 +1700,7 @@ One-Step Estimator for Permuted Sparse Recovery,"Hang Zhang, Ping Li",,,,,,,,, Cold Analysis of Rao-Blackwellized Straight-Through Gumbel-Softmax Gradient Estimator,Alexander Shekhovtsov,,,,,,,,, Estimating the Contamination Factor's Distribution in Unsupervised Anomaly Detection,"Lorenzo Perini, Paul Buerkner, Arto Klami",http://arxiv.org/abs/2210.10487,,https://huggingface.co/papers/2210.10487,,,,2210.10487,3,0 Image generation with shortest path diffusion,"Ayan Das, Ayan Das, Stathi Fotiadis, Anil Batra, Farhang Nabiei, FengTing Liao, Sattar Vakili, Da-shan Shiu, Alberto Bernacchia",http://arxiv.org/abs/2306.00501,,https://huggingface.co/papers/2306.00501,,,,2306.00501,8,3 -Deep Anomaly Detection under Labeling Budget Constraints,"Aodong Li, Chen Qiu, Padhraic Smyth, Marius Kloft, Stephan Mandt, Maja Rudolph",http://arxiv.org/abs/2302.07832,,https://huggingface.co/papers/2302.07832,,,,2302.07832,6,0 +Deep Anomaly Detection under Labeling Budget Constraints,"Aodong Li, Chen Qiu, Padhraic Smyth, Marius Kloft, Stephan Mandt, Maja Rudolph",http://arxiv.org/abs/2302.07832,,https://huggingface.co/papers/2302.07832,,,,2302.07832,6,1 Transformed Distribution Matching for Missing Value Imputation,"He Zhao, Ke Sun, Amir Dezfouli, Edwin V Bonilla",http://arxiv.org/abs/2302.10363,,https://huggingface.co/papers/2302.10363,,,,2302.10363,4,0 Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?,"Ruisi Cai, Zhenyu Zhang, Zhangyang “Atlas” Wang",http://arxiv.org/abs/2302.12480,,https://huggingface.co/papers/2302.12480,,,,2302.12480,3,0 Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models,"Nikhil Kandpal, Brian Lester, Mohammed Muqeeth, Anisha Mascarenhas, Monty Evans, Vishal Baskaran, Tenghao Huang, Haokun Liu, Colin Raffel",,,,,,,,, @@ -1713,7 +1713,7 @@ Generated Graph Detection,"Yihan Ma, Zhikun Zhang, Ning Yu, Xinlei He, Michael B Variational Open-Domain Question Answering,"Valentin Liévin, Andreas Geert Motzfeldt, Ida Jensen, Ole Winther",http://arxiv.org/abs/2210.06345,,https://huggingface.co/papers/2210.06345,,,,2210.06345,4,0 PromptBoosting: Black-Box Text Classification with Ten Forward Passes,"Bairu Hou, Joe O'Connor, Jacob Andreas, Shiyu Chang, Yang Zhang",http://arxiv.org/abs/2212.09257,,https://huggingface.co/papers/2212.09257,,,,2212.09257,5,0 Gradient-Free Structured Pruning with Unlabeled Data,"Azade Nova, Hanjun Dai, Dale Schuurmans",http://arxiv.org/abs/2303.04185,,https://huggingface.co/papers/2303.04185,,,,2303.04185,3,0 -Text-To-Concept (and Back) via Cross-Model Alignment,"Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi",http://arxiv.org/abs/2305.06386,,https://huggingface.co/papers/2305.06386,,,,2305.06386,4,1 +Text-To-Concept (and Back) via Cross-Model Alignment,"Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi",http://arxiv.org/abs/2305.06386,,https://huggingface.co/papers/2305.06386,,,,2305.06386,4,2 Understand and Modularize Generator Optimization in ELECTRA-style Pretraining,"Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu",,,,,,,,, Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution,"Ruofan Zhang, Ruofan Zhang, Haoyu Chen, Chao Dong, Yulun Zhang, Wenming Yang",http://arxiv.org/abs/2305.18107,,https://huggingface.co/papers/2305.18107,,,,2305.18107,6,0 Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability,"Zhao Song, Yitan Wang, Zheng Yu, Lichen Zhang",http://arxiv.org/abs/2210.08371,,https://huggingface.co/papers/2210.08371,,,,2210.08371,4,0 @@ -1749,7 +1749,7 @@ Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning,"aqeel la Transcendental Idealism of Planner: Evaluating Perception from Planning Perspective for Autonomous Driving,"Wei-Xin Li, Xiaodong Yang",http://arxiv.org/abs/2306.07276,,https://huggingface.co/papers/2306.07276,,,,2306.07276,2,0 Computational Asymmetries in Robust Classification,"Samuele Marro, Michele Lombardi",,,,,,,,, Curriculum Co-disentangled Representation Learning across Multiple Environments for Social Recommendation,"Xin Wang, Zirui Pan, Yuwei Zhou, Hong Chen, Chendi Ge, Wenwu Zhu",,,,,,,,, -Better Training of GFlowNets with Local Credit and Incomplete Trajectories,"Ling Pan, Nikolay Malkin, Dinghuai Zhang, Yoshua Bengio",http://arxiv.org/abs/2302.01687,,https://huggingface.co/papers/2302.01687,,,,2302.01687,4,0 +Better Training of GFlowNets with Local Credit and Incomplete Trajectories,"Ling Pan, Nikolay Malkin, Dinghuai Zhang, Yoshua Bengio",http://arxiv.org/abs/2302.01687,,https://huggingface.co/papers/2302.01687,,,,2302.01687,4,1 Multi-channel Autobidding with Budget and ROI Constraints,"Yuan Deng, Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang, Vahab Mirrokni",http://arxiv.org/abs/2302.01523,,https://huggingface.co/papers/2302.01523,,,,2302.01523,5,0 Random Teachers are Good Teachers,"Felix Sarnthein, Gregor Bachmann, Sotiris Anagnostidis, Thomas Hofmann",http://arxiv.org/abs/2302.12091,,https://huggingface.co/papers/2302.12091,,,,2302.12091,4,0 Efficient Distribution-Free Predictive Inference for Standard and Feedback Covariate Shift,"Andrew Prinster, Suchi Saria, Anqi Liu",,,,,,,,, @@ -1772,7 +1772,7 @@ Best Arm Identification in Multi-Agent Multi-Armed Bandits,"Filippo Vannella, Al Label differential privacy and private training data release,"Robert Busa-Fekete, andres munoz, Umar Syed, Sergei Vassilvitskii",,,,,,,,, Data Efficient Neural Scaling Law via Model Reusing,"Peihao Wang, Rameswar Panda, Zhangyang “Atlas” Wang",,,,,,,,, Truncating Trajectories in Monte Carlo Reinforcement Learning,"Riccardo Poiani, Alberto Maria Metelli, Marcello Restelli",http://arxiv.org/abs/2305.04361,,https://huggingface.co/papers/2305.04361,,,,2305.04361,3,0 -The Value of Out-of-Distribution Data,"Ashwin De Silva, Rahul Ramesh, Carey Priebe, Pratik Chaudhari, Joshua Vogelstein",http://arxiv.org/abs/2208.10967,,https://huggingface.co/papers/2208.10967,,,,2208.10967,5,0 +The Value of Out-of-Distribution Data,"Ashwin De Silva, Rahul Ramesh, Carey Priebe, Pratik Chaudhari, Joshua Vogelstein",http://arxiv.org/abs/2208.10967,,https://huggingface.co/papers/2208.10967,,,,2208.10967,5,1 Actor-Critic Alignment for Offline-to-Online Reinforcement Learning,"Zishun Yu, Xinhua Zhang",,,,,,,,, Locally Regularized Neural Differential Equations: Some Black Boxes were meant to remain closed!,"Avik Pal, Alan Edelman, Christopher Rackauckas",http://arxiv.org/abs/2303.02262,,https://huggingface.co/papers/2303.02262,,,,2303.02262,3,1 ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval,"Kexun Zhang, Xianjun Yang, William Wang, Lei Li",http://arxiv.org/abs/2302.02285,,https://huggingface.co/papers/2302.02285,,,,2302.02285,4,1 @@ -1787,7 +1787,7 @@ Trapdoor Normalization with Irreversible Ownership Verification,"Hanwen Liu, Zhe Discover and Cure: Concept-aware Mitigation of Spurious Correlation,"Yingxin Wu, Mert Yuksekgonul, Linjun Zhang, James Zou",http://arxiv.org/abs/2305.00650,https://github.com/Wuyxin/DISC,https://huggingface.co/papers/2305.00650,,,,2305.00650,4,0 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 +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,,,,2302.05698,5,1 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",,,,,,,,, @@ -1804,7 +1804,7 @@ Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees, Learning Intuitive Policies Using Action Features,"Mingwei Ma, Jizhou Liu, Samuel Sokota, Max Kleiman-Weiner, Jakob Foerster",http://arxiv.org/abs/2201.12658,,https://huggingface.co/papers/2201.12658,,,,2201.12658,5,0 Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels,"Min-Kook Suh, Seung-Woo Seo",http://arxiv.org/abs/2305.01160,,https://huggingface.co/papers/2305.01160,,,,2305.01160,2,0 Improving Graph Neural Networks with Learnable Propagation Operators,"Moshe Eliasof, Lars Ruthotto, Eran Treister",http://arxiv.org/abs/2210.17224,,https://huggingface.co/papers/2210.17224,,,,2210.17224,3,0 -Effective Neural Topic Modeling with Embedding Clustering Regularization,"Xiaobao Wu, Xinshuai Dong, Thong Nguyen, Anh Tuan Luu",http://arxiv.org/abs/2306.04217,,https://huggingface.co/papers/2306.04217,,,,2306.04217,4,0 +Effective Neural Topic Modeling with Embedding Clustering Regularization,"Xiaobao Wu, Xinshuai Dong, Thong Nguyen, Anh Tuan Luu",http://arxiv.org/abs/2306.04217,,https://huggingface.co/papers/2306.04217,,,,2306.04217,4,1 Supported Trust Region Optimization for Offline Reinforcement Learning,"Yixiu Mao, Hongchang Zhang, Chen Chen, Yi Xu, Xiangyang Ji",,,,,,,,, Generative Adversarial Symmetry Discovery,"Jianke Yang, Robin Walters, Nima Dehmamy, Rose Yu",http://arxiv.org/abs/2302.00236,,https://huggingface.co/papers/2302.00236,,,,2302.00236,4,0 On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances,"Aritra Guha, Nhat Ho, XuanLong Nguyen",http://arxiv.org/abs/2301.11496,,https://huggingface.co/papers/2301.11496,,,,2301.11496,3,0 @@ -1833,7 +1833,7 @@ Fair Densities via Boosting the Sufficient Statistics of Exponential Families,"A Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision Processes,"Runlong Zhou, Ruosong Wang, Simon Du",http://arxiv.org/abs/2210.11604,,https://huggingface.co/papers/2210.11604,,,,2210.11604,3,0 A Fast Optimistic Method for Monotone Variational Inequalities,"Michael Sedlmayer, Dang-Khoa Nguyen, Radu Ioan Bot",,,,,,,,, Revisiting Simple Regret: Fast Rates for Returning a Good Arm,"Yao Zhao, Connor J Stephens, Csaba Szepesvari, Kwang-Sung Jun",http://arxiv.org/abs/2210.16913,,https://huggingface.co/papers/2210.16913,,,,2210.16913,4,0 -Escaping saddle points in zeroth-order optimization: the power of two-point estimators,"Zhaolin Ren, Yujie Tang, Na Li",http://arxiv.org/abs/2209.13555,,https://huggingface.co/papers/2209.13555,,,,2209.13555,3,0 +Escaping saddle points in zeroth-order optimization: the power of two-point estimators,"Zhaolin Ren, Yujie Tang, Na Li",http://arxiv.org/abs/2209.13555,,https://huggingface.co/papers/2209.13555,,,,2209.13555,3,1 Beyond the Edge of Stability via Two-step Gradient Updates,"Lei Chen, Joan Bruna",,,,,,,,, Perturbation Analysis of Neural Collapse,"Tom Tirer, Haoxiang Huang, Jonathan Niles-Weed",http://arxiv.org/abs/2210.16658,,https://huggingface.co/papers/2210.16658,,,,2210.16658,3,0 The Implicit Regularization of Dynamical Stability in Stochastic Gradient Descent,"Lei Wu, Weijie Su",http://arxiv.org/abs/2305.17490,,https://huggingface.co/papers/2305.17490,,,,2305.17490,2,0 @@ -1843,7 +1843,7 @@ Learning Subpocket Prototypes for Generalizable Structure-based Drug Design,"Zai Learning Antidote Data to Individual Unfairness,"Peizhao Li, Ethan Xia, Hongfu Liu",http://arxiv.org/abs/2211.15897,,https://huggingface.co/papers/2211.15897,,,,2211.15897,3,0 MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations,"Anqi Li, Byron Boots, Ching-An Cheng",http://arxiv.org/abs/2303.17156,,https://huggingface.co/papers/2303.17156,,,,2303.17156,3,0 Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization,"Yushi Bai, Xin Lv, Juanzi Li, Lei Hou",http://arxiv.org/abs/2212.09567,https://github.com/bys0318/QTO,https://huggingface.co/papers/2212.09567,,,,2212.09567,4,0 -Rethink DARTS Search Space and Renovate a New Benchmark,"Jiuling Zhang, Zhingming Ding",http://arxiv.org/abs/2306.06852,https://github.com/chaoji90/LHD,https://huggingface.co/papers/2306.06852,,,,2306.06852,2,0 +Rethink DARTS Search Space and Renovate a New Benchmark,"Jiuling Zhang, Zhingming Ding",http://arxiv.org/abs/2306.06852,https://github.com/chaoji90/LHD,https://huggingface.co/papers/2306.06852,,,,2306.06852,2,1 Why Target Networks Stabilise Temporal Difference Methods,"Matthew Smith, Mattie Fellows, Shimon Whiteson",http://arxiv.org/abs/2302.12537,,https://huggingface.co/papers/2302.12537,,,,2302.12537,3,0 SGD-induced drift of representation in a two-layer neural network,"Farhad Pashakhanloo, Alexei Koulakov",,,,,,,,, Polyhedral Complex Extraction from ReLU Networks using 1-skeleton,Arturs Berzins,,,,,,,,,