Papers
Refining Language Models with Compositional Explanations
Huihan Yao, Ying Chen, Qinyuan Ye et al.
Reformulating Zero-shot Action Recognition for Multi-label Actions
Alec Kerrigan, Kevin Duarte, Yogesh Rawat et al.
Regime Switching Bandits
Xiang Zhou, Yi Xiong, Ningyuan Chen et al.
Regret Bounds for Gaussian-Process Optimization in Large Domains
Manuel Wuethrich, Bernhard Schölkopf, Andreas Krause
Regret Minimization Experience Replay in Off-Policy Reinforcement Learning
Xu-Hui Liu, Zhenghai Xue, Jingcheng Pang et al.
Regularization in ResNet with Stochastic Depth
Soufiane Hayou, Fadhel Ayed
Regularized Frank-Wolfe for Dense CRFs: Generalizing Mean Field and Beyond
Đ.Khuê Lê-Huu, Karteek Alahari
Regularized Softmax Deep Multi-Agent Q-Learning
Ling Pan, Tabish Rashid, Bei Peng et al.
Regulating algorithmic filtering on social media
Sarah Cen, Devavrat Shah
Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization
Bing-Jing Hsieh, Ping-Chun Hsieh, Xi Liu
Reinforcement Learning based Disease Progression Model for Alzheimer’s Disease
Krishnakant Saboo, Anirudh Choudhary, Yurui Cao et al.
Reinforcement Learning Enhanced Explainer for Graph Neural Networks
Caihua Shan, Yifei Shen, Yao Zhang et al.
Reinforcement learning for optimization of variational quantum circuit architectures
Mateusz Ostaszewski, Lea M. Trenkwalder, Wojciech Masarczyk et al.
Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection
Matteo Papini, Andrea Tirinzoni, Aldo Pacchiano et al.
Reinforcement Learning in Newcomblike Environments
James Bell, Linda Linsefors, Caspar Oesterheld et al.
Reinforcement Learning in Reward-Mixing MDPs
Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis et al.
Reinforcement Learning with Latent Flow
Wenling Shang, Xiaofei Wang, Aravind Srinivas et al.
Reinforcement Learning with State Observation Costs in Action-Contingent Noiselessly Observable Markov Decision Processes
HyunJi Alex Nam, Scott Fleming, Emma Brunskill
Relational Self-Attention: What's Missing in Attention for Video Understanding
Manjin Kim, Heeseung Kwon, CHUNYU WANG et al.
Relative Flatness and Generalization
Henning Petzka, Michael Kamp, Linara Adilova et al.
Relative stability toward diffeomorphisms indicates performance in deep nets
Leonardo Petrini, Alessandro Favero, Mario Geiger et al.
Relative Uncertainty Learning for Facial Expression Recognition
Yuhang Zhang, Chengrui Wang, Weihong Deng
Relaxed Marginal Consistency for Differentially Private Query Answering
Ryan McKenna, Siddhant Pradhan, Daniel R. Sheldon et al.
Relaxing Local Robustness
Klas Leino, Matt Fredrikson