Papers
Reverse Engineering the Neural Tangent Kernel
James Benjamin Simon, Sajant Anand, Mike Deweese
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization
Yihua Zhang, Guanhua Zhang, Prashant Khanduri et al.
Revisiting Consistency Regularization for Deep Partial Label Learning
Dong-Dong Wu, Deng-Bao Wang, Min-Ling Zhang
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework
Ching-Yun Ko, Jeet Mohapatra, Sijia Liu et al.
Revisiting End-to-End Speech-to-Text Translation From Scratch
Biao Zhang, Barry Haddow, Rico Sennrich
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing?
Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Yunqing Zhao et al.
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning
Wei Fu, Chao Yu, Zelai Xu et al.
Revisiting the Effects of Stochasticity for Hamiltonian Samplers
Giulio Franzese, Dimitrios Milios, Maurizio Filippone et al.
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer
Xingyu Liu, Deepak Pathak, Kris Kitani
Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes
Andrew J Wagenmaker, Yifang Chen, Max Simchowitz et al.
Rich Feature Construction for the Optimization-Generalization Dilemma
Jianyu Zhang, David Lopez-Paz, Leon Bottou
RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests
Victor Chernozhukov, Whitney Newey, Vı́ctor M Quintas-Martı́nez et al.
Ripple Attention for Visual Perception with Sub-quadratic Complexity
Lin Zheng, Huijie Pan, Lingpeng Kong
Risk-Averse No-Regret Learning in Online Convex Games
Zifan Wang, Yi Shen, Michael Zavlanos
Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data
Georgi Ganev, Bristena Oprisanu, Emiliano De Cristofaro
Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptation
Justin Jude, Matthew Perich, Lee Miller et al.
Robust Counterfactual Explanations for Tree-Based Ensembles
Sanghamitra Dutta, Jason Long, Saumitra Mishra et al.
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum
Junlin Wu, Yevgeniy Vorobeychik
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees
Haotian Ju, Dongyue Li, Hongyang R Zhang
Robust Group Synchronization via Quadratic Programming
Yunpeng Shi, Cole M Wyeth, Gilad Lerman
Robust Imitation Learning against Variations in Environment Dynamics
Jongseong Chae, Seungyul Han, Whiyoung Jung et al.
Robust Kernel Density Estimation with Median-of-Means principle
Pierre Humbert, Batiste Le Bars, Ludovic Minvielle
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile
Dong Chen, Lingfei Wu, Siliang Tang et al.
Robust Models Are More Interpretable Because Attributions Look Normal
Zifan Wang, Matt Fredrikson, Anupam Datta