Paper Papers

Reliable Data Generation and Selection for Low-Resource Relation Extraction

Junjie Yu, Xing Wang, Wenliang Chen

Relightable and Animatable Neural Avatars from Videos

Wenbin Lin, Chengwei Zheng, Jun-hai Yong et al.

Removing Interference and Recovering Content Imaginatively for Visible Watermark Removal

Yicheng Leng, Chaowei Fang, Gen Li et al.

Repeated Fair Allocation of Indivisible Items

Ayumi Igarashi, Martin Lackner, Oliviero Nardi et al.

Reproduce, Replicate, Reevaluate. The Long but Safe Way to Extend Machine Learning Methods

Luisa Werner, Nabil Layaïda, Pierre Genevès et al.

REPrune: Channel Pruning via Kernel Representative Selection

Mincheol Park, Dongjin Kim, Cheonjun Park et al.

Repurposing Ensemble of Black-Box Models to New Task Domains

Minh Hoang, Nghia Hoang

ResDiff: Combining CNN and Diffusion Model for Image Super-resolution

Shuyao Shang, Zhengyang Shan, Guangxing Liu et al.

Research Papers

Xiangci Li, Jessica Ouyang

Residual Hyperbolic Graph Convolution Networks

Yangkai Xue, Jindou Dai, Zhipeng Lu et al.

Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective

Zhen Qin, Feiyi Chen, Chen Zhi et al.

ResMatch: Residual Attention Learning for Feature Matching

Yuxin Deng, Kaining Zhang, Shihua Zhang et al.

Resource Democratization: Is Compute the Binding Constraint on AI Research?

Rebecca Gelles, Veronica Kinoshita, Micah Musser et al.

Resource Efficient Deep Learning Hardware Watermarks with Signature Alignment

Joseph Clements, Yingjie Lao

Responding to the Call: Exploring Automatic Music Composition Using a Knowledge-Enhanced Model

Zhejing Hu, Yan Liu, Gong Chen et al.

Response Enhanced Semi-supervised Dialogue Query Generation

Jianheng Huang, Ante Wang, Linfeng Gao et al.

Responsibility in Extensive Form Games

Restoring Speaking Lips from Occlusion for Audio-Visual Speech Recognition

Jiadong Wang, Zexu Pan, Malu Zhang 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 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 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.

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

Authors: 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.

Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively

Hao Jiang, Tien Mai, Pradeep Varakantham 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

Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures

Gwangpyo Yoo, Jinwoo Park, Honguk Woo

RLfOLD: Reinforcement Learning from Online Demonstrations in Urban Autonomous Driving

Daniel Coelho, Miguel Oliveira, Vitor Santos

RL-SeqISP: Reinforcement Learning-Based Sequential Optimization for Image Signal Processing

Robust 3D Tracking with Quality-Aware Shape Completion

Jingwen Zhang, Zikun Zhou, Guangming Lu et al.

Robust Beamforming for Downlink Multi-Cell Systems: A Bilevel Optimization Perspective

Xingdi Chen, Yu Xiong, Kai YANG

Robust Blind Text Image Deblurring via Maximum Consensus Framework

Zijian Min, Gundu Hassan, GeunSik Jo