Papers
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
RetGen: A Joint Framework for Retrieval and Grounded Text Generation Modeling
Yizhe Zhang, Siqi Sun, Xiang Gao et al.
Rethinking Influence Functions of Neural Networks in the Over-Parameterized Regime
Rui Zhang, Shihua Zhang
Rethinking Pseudo Labels for Semi-supervised Object Detection
Hengduo Li, Zuxuan Wu, Abhinav Shrivastava et al.
Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones Is Enough
Zhuo Li, Weiqing Min, Jiajun Song et al.
Rethinking the Two-Stage Framework for Grounded Situation Recognition
Meng Wei, Long Chen, Wei Ji et al.
Retinomorphic Object Detection in Asynchronous Visual Streams
Jianing Li, Xiao Wang, Lin Zhu et al.
RETRACTED: Pan-Sharpening with Customized Transformer and Invertible Neural Network
Man Zhou, Jie Huang, Yanchi Fang et al.
Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Models
Steven Y. Feng, Kevin Lu, Zhuofu Tao et al.
Reverse Differentiation via Predictive Coding
Tommaso Salvatori, Yuhang Song, Zhenghua Xu et al.