Papers
Restoring Speaking Lips from Occlusion for Audio-Visual Speech Recognition
Jiadong Wang, Zexu Pan, Malu Zhang et al.
Rethinking Attention: Exploring Shallow Feed-Forward Neural Networks as an Alternative to Attention Layers in Transformers (Student Abstract)
Danilo Dordevic, Vukasin Bozic, Joseph Thommes et al.
Rethinking Causal Relationships Learning in Graph Neural Networks
Hang Gao, Chengyu Yao, Jiangmeng Li et al.
Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective
Qirui Ji, Jiangmeng Li, Jie Hu et al.
Rethinking Graph Masked Autoencoders through Alignment and Uniformity
Liang Wang, Xiang Tao, Qiang Liu et al.
Rethinking Mesh Watermark: Towards Highly Robust and Adaptable Deep 3D Mesh Watermarking
Xingyu Zhu, Guanhui Ye, Xiapu Luo et al.
Rethinking Multi-Scale Representations in Deep Deraining Transformer
Hongming Chen, Xiang Chen, Jiyang Lu et al.
Rethinking Peculiar Images by Diffusion Models: Revealing Local Minima’s Role
Jinhyeok Jang, Chan-Hyun Youn, Minsu Jeon et al.
Rethinking Propagation for Unsupervised Graph Domain Adaptation
Meihan Liu, Zeyu Fang, Zhen Zhang et al.
Rethinking Reverse Distillation for Multi-Modal Anomaly Detection
Zhihao Gu, Jiangning Zhang, Liang Liu et al.
Rethinking Robustness of Model Attributions
Sandesh Kamath, Sankalp Mittal, Amit Deshpande et al.
Rethinking the Development of Large Language Models from the Causal Perspective: A Legal Text Prediction Case Study
Haotian Chen, Lingwei Zhang, Yiran Liu et al.
Rethinking the Paradigm of Content Constraints in Unpaired Image-to-Image Translation
Xiuding Cai, Yaoyao Zhu, Dong Miao et al.
Rethinking Two-Stage Referring Expression Comprehension: A Novel Grounding and Segmentation Method Modulated by Point
Peizhi Zhao, Shiyi Zheng, Wenye Zhao et al.
RetLLM-E: Retrieval-Prompt Strategy for Question-Answering on Student Discussion Forums
Chancharik Mitra, Mihran Miroyan, Rishi Jain et al.
RetouchFormer: Semi-supervised High-Quality Face Retouching Transformer with Prior-Based Selective Self-Attention
Xue Wen, Lianxin Xie, Le Jiang et al.
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.