Papers
Resilient and Communication Efficient Learning for Heterogeneous Federated Systems
Zhuangdi Zhu, Junyuan Hong, Steve Drew et al.
Rethinking Attention-Model Explainability through Faithfulness Violation Test
Yibing Liu, Haoliang Li, Yangyang Guo et al.
Rethinking Fano’s Inequality in Ensemble Learning
Terufumi Morishita, Gaku Morio, Shota Horiguchi et al.
Rethinking Graph Neural Networks for Anomaly Detection
Jianheng Tang, Jiajin Li, Ziqi Gao et al.
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems
Yue Gao, Ilia Shumailov, Kassem Fawaz
Retrieval-Augmented Reinforcement Learning
Anirudh Goyal, Abram Friesen, Andrea Banino et al.
RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval
Yihan Wu, Hongyang Zhang, Heng Huang
Retroformer: Pushing the Limits of End-to-end Retrosynthesis Transformer
Yue Wan, Chang-Yu Hsieh, Ben Liao et al.
Reverse Engineering $\ell_p$ attacks: A block-sparse optimization approach with recovery guarantees
Darshan Thaker, Paris Giampouras, Rene Vidal
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