Papers
Regularization Guarantees Generalization in Bayesian Reinforcement Learning through Algorithmic Stability
Aviv Tamar, Daniel Soudry, Ev Zisselman
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms
Runpeng Yu, Hong Zhu, Kaican Li et al.
Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment
Tieliang Gong, Yuxin Dong, Hong Chen et al.
Regularizing End-to-End Speech Translation with Triangular Decomposition Agreement
Yichao Du, Zhirui Zhang, Weizhi Wang et al.
Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations
Deyu Bo, Binbin Hu, Xiao Wang et al.
Reinforcement Learning Augmented Asymptotically Optimal Index Policy for Finite-Horizon Restless Bandits
Guojun Xiong, Jian Li, Rahul Singh
Reinforcement Learning Based Dynamic Model Combination for Time Series Forecasting
Yuwei Fu, Di Wu, Benoit Boulet
Reinforcement Learning Explainability via Model Transforms (Student Abstract)
Mira Finkelstein, Lucy Liu, Yoav Kolumbus et al.
Reinforcement Learning for Datacenter Congestion Control
Chen Tessler, Yuval Shpigelman, Gal Dalal et al.
Reinforcement Learning of Causal Variables Using Mediation Analysis
Tue Herlau, Rasmus Larsen
Reinforcement Learning with Stochastic Reward Machines
Jan Corazza, Ivan Gavran, Daniel Neider
Reliability Exploration with Self-Ensemble Learning for Domain Adaptive Person Re-identification
Zongyi Li, Yuxuan Shi, Hefei Ling et al.
Reliable Inlier Evaluation for Unsupervised Point Cloud Registration
Yaqi Shen, Le Hui, Haobo Jiang et al.
Reliable Propagation-Correction Modulation for Video Object Segmentation
Xiaohao Xu, Jinglu Wang, Xiao Li et al.
ReMoNet: Recurrent Multi-Output Network for Efficient Video Denoising
Liuyu Xiang, Jundong Zhou, Jirui Liu et al.
REMOTE: Reinforced Motion Transformation Network for Semi-supervised 2D Pose Estimation in Videos
Xianzheng Ma, Hossein Rahmani, Zhipeng Fan et al.
Rendering-Aware HDR Environment Map Prediction from a Single Image
Jun-Peng Xu, Chenyu Zuo, Fang-Lue Zhang et al.
Renovate Yourself: Calibrating Feature Representation of Misclassified Pixels for Semantic Segmentation
Hualiang Wang, Huanpeng Chu, Siming FU et al.
RepBin: Constraint-Based Graph Representation Learning for Metagenomic Binning
Hansheng Xue, Vijini Mallawaarachchi, Yujia Zhang et al.
Reproducibility as a Mechanism for Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence
Ana Lucic, Maurits Bleeker, Sami Jullien et al.
RES: An Interpretable Replicability Estimation System for Research Publications
Zhuoer Wang, Qizhang Feng, Mohinish Chatterjee et al.
Residual Similarity Based Conditional Independence Test and Its Application in Causal Discovery
Hao Zhang, Shuigeng Zhou, Kun Zhang et al.
Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation
Chao Chen, Yibing Zhan, Baosheng Yu et al.
Resolving Inconsistencies in Simple Temporal Problems: A Parameterized Approach
Konrad K. Dabrowski, Peter Jonsson, Sebastian Ordyniak et al.
Restorable Image Operators with Quasi-Invertible Networks
Hao Ouyang, Tengfei Wang, Qifeng Chen