Paper Papers

Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks

Chenyang Qiu, Guoshun Nan, Tianyu Xiong et al.

ReGCL: Rethinking Message Passing in Graph Contrastive Learning

Cheng Ji, Zixuan Huang, Qingyun Sun et al.

Region-Aware Exposure Consistency Network for Mixed Exposure Correction

Jin Liu, Huiyuan Fu, Chuanming Wang et al.

Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation

Debaditya Shome, Pritam Sarkar, Ali Etemad

REGLO: Provable Neural Network Repair for Global Robustness Properties

Feisi Fu, Zhilu Wang, Weichao Zhou et al.

Regret Analysis of Repeated Delegated Choice

Suho Shin, Keivan Rezaei, Mohammad Hajiaghayi et al.

Regroup Median Loss for Combating Label Noise

Authors: Fengpeng Li, Kemou Li, Jinyu Tian et al.

Regulating AI: Applying Insights from Behavioural Economics and Psychology to the Application of Article 5 of the EU AI Act

Huixin Zhong, Eamonn O'Neill, Janina Hoffmann

Reinforced Adaptive Knowledge Learning for Multimodal Fake News Detection

Litian Zhang, Xiaoming Zhang, Chaozhuo Li et al.

Reinforcement Learning and Data

Generation for Syntax-Guided Synthesis

Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation

Bharat Srikishan, Anika Tabassum, Srikanth Allu et al.

Relational Distant Supervision for Image Captioning without Image-Text Pairs

Yayun Qi, Wentian Zhao, Xinxiao Wu

Relational Programming with Foundational Models

Ziyang Li, Jiani Huang, Jason Liu et al.

Relative Policy-Transition Optimization for Fast Policy Transfer

Jiawei xu, Cheng Zhou, Yizheng Zhang et al.

Relaxed Stationary Distribution Correction Estimation for Improved Offline Policy Optimization

Woosung Kim, Donghyeon Ki, Byung-Jun Lee

Relax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt for Segmenting Camouflaged Objects

Jian Hu, Jiayi Lin, Shaogang Gong et al.

Relevant Intrinsic Feature Enhancement Network for Few-Shot Semantic Segmentation

Xiaoyi Bao, Jie Qin, Siyang Sun et al.

Reliable Conflictive Multi-View Learning

Cai Xu, Jiajun Si, Ziyu Guan et al.

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