Papers
Retrieval-Augmented Primitive Representations for Compositional Zero-Shot Learning
Chenchen Jing, Yukun Li, Hao Chen et al.
RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction
Yemin Yu, Luotian Yuan, Ying Wei et al.
Revealing the Proximate Long-Tail Distribution in Compositional Zero-Shot Learning
Chenyi Jiang, Haofeng Zhang
Reverse Multi-Choice Dialogue Commonsense Inference with Graph-of-Thought
Li Zheng, Hao Fei, Fei Li et al.
Review-Enhanced Hierarchical Contrastive Learning for Recommendation
Ke Wang, Yanmin Zhu, Tianzi Zang et al.
Reviewing the Forgotten Classes for Domain Adaptation of Black-Box Predictors
Shaojie Zhang, Chun Shen, Shuai Lü et al.
Revisiting Disentanglement in Downstream Tasks: A Study on Its Necessity for Abstract Visual Reasoning
Ruiqian Nai, Zixin Wen, Ji Li et al.
Revisiting Document-Level Relation Extraction with Context-Guided Link Prediction
Monika Jain, Raghava Mutharaju, Ramakanth Kavuluru et al.
Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks
Lulu Xue, Shengshan Hu, Ruizhi Zhao et al.
Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum
Fan Xu, Nan Wang, Hao Wu et al.
Revisiting Open-Set Panoptic Segmentation
Yufei Yin, Hao Chen, Wengang Zhou et al.
Revisiting the Information Capacity of Neural Network Watermarks: Upper Bound Estimation and Beyond
Fangqi Li, Haodong Zhao, Wei Du et al.
Revitalizing Bahnaric Language through Neural Machine Translation: Challenges, Strategies, and Promising Outcomes
Hoang Nhat Khang Vo, Duc Dong Le, Tran Minh Dat Phan et al.
Reward Certification for Policy Smoothed Reinforcement Learning
Ronghui Mu, Leandro Soriano Marcolino, Yanghao Zhang et al.
Reward (Mis)design for Autonomous Driving (Abstract Reprint)
W. Bradley Knox, Alessandro Allievi, Holger Banzhaf et al.
Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively
Hao Jiang, Tien Mai, Pradeep Varakantham et al.
Reward-Respecting Subtasks for Model-Based Reinforcement Learning (Abstract Reprint)
Richard S. Sutton, Marlos C. Machado, G. Zacharias Holland et al.
RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting
Lei Shu, Liangchen Luo, Jayakumar Hoskere et al.
RG-GAN: Dynamic Regenerative Pruning for Data-Efficient Generative Adversarial Networks
Divya Saxena, Jiannong Cao, Jiahao Xu et al.
RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning
Jingdi Chen, Tian Lan, Carlee Joe-Wong
Rider Posture-Based Continuous Authentication with Few-Shot Learning for Mobility Scooters (Student Abstract)
Devan Shah, Ruoqi Huang, Tingting Chen et al.
Risk-Aware Continuous Control with Neural Contextual Bandits
Jose A. Ayala-Romero, Andres Garcia-Saavedra, Xavier Costa-Perez
Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures
Gwangpyo Yoo, Jinwoo Park, Honguk Woo