Papers
Revisiting Denoising Diffusion Probabilistic Models for Speech Enhancement: Condition Collapse, Efficiency and Refinement
Wenxin Tai, Fan Zhou, Goce Trajcevski et al.
Revisiting Item Promotion in GNN-Based Collaborative Filtering: A Masked Targeted Topological Attack Perspective
Yongwei Wang, Yong Liu, Zhiqi Shen
Revisiting the Importance of Amplifying Bias for Debiasing
Jungsoo Lee, Jeonghoon Park, Daeyoung Kim et al.
Revisiting the Spatial and Temporal Modeling for Few-Shot Action Recognition
Jiazheng Xing, Mengmeng Wang, Yong Liu et al.
Revisiting Unsupervised Local Descriptor Learning
Wufan Wang, Lei Zhang, Hua Huang
Reward-Based Negotiating Agent Strategies
Ryota Higa, Katsuhide Fujita, Toki Takahashi et al.
Reward-Biased Maximum Likelihood Estimation for Neural Contextual Bandits: A Distributional Learning Perspective
Yu-Heng Hung, Ping-Chun Hsieh
Reward Design for an Online Reinforcement Learning Algorithm Supporting Oral Self-Care
Anna L. Trella, Kelly W. Zhang, Inbal Nahum-Shani et al.
Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning
Young Wu, Jeremy McMahan, Xiaojin Zhu et al.
RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget (Student Abstract)
Sourajit Saha, Shaswati Saha, Md Osman Gani et al.
RGBD1K: A Large-Scale Dataset and Benchmark for RGB-D Object Tracking
Xue-Feng Zhu, Tianyang Xu, Zhangyong Tang et al.
Rich Event Modeling for Script Event Prediction
Long Bai, Saiping Guan, Zixuan Li et al.
Riemannian Local Mechanism for SPD Neural Networks
Ziheng Chen, Tianyang Xu, Xiao-Jun Wu et al.
RINK: Reader-Inherited Evidence Reranker for Table-and-Text Open Domain Question Answering
Eunhwan Park, Sung-Min Lee, Dearyong Seo et al.
Ripple: Concept-Based Interpretation for Raw Time Series Models in Education
Mohammad Asadi, Vinitra Swamy, Jibril Frej et al.
Risk-Aware Decentralized Safe Control via Dynamic Responsibility Allocation (Student Abstract)
Yiwei Lyu, Wenhao Luo, John M. Dolan
RLEKF: An Optimizer for Deep Potential with Ab Initio Accuracy
Siyu Hu, Wentao Zhang, Qiuchen Sha et al.
RLogist: Fast Observation Strategy on Whole-Slide Images with Deep Reinforcement Learning
Boxuan Zhao, Jun Zhang, Deheng Ye et al.
Robust and Fast Measure of Information via Low-Rank Representation
Yuxin Dong, Tieliang Gong, Shujian Yu et al.
Robust Average-Reward Markov Decision Processes
Yue Wang, Alvaro Velasquez, George Atia et al.
Robust-by-Design Classification via Unitary-Gradient Neural Networks
Fabio Brau, Giulio Rossolini, Alessandro Biondi et al.
Robust Causal Graph Representation Learning against Confounding Effects
Hang Gao, Jiangmeng Li, Wenwen Qiang et al.
Robust Domain Adaptation for Machine Reading Comprehension
Liang Jiang, Zhenyu Huang, Jia Liu et al.
Robust Feature Rectification of Pretrained Vision Models for Object Recognition
Shengchao Zhou, Gaofeng Meng, Zhaoxiang Zhang et al.