All Papers

Reshaping the Online Data Buffering and Organizing Mechanism for Continual Test-Time Adaptation

Zhilin Zhu, Xiaopeng Hong, Zhiheng Ma et al.

Residual-Conditioned Optimal Transport: Towards Structure-Preserving Unpaired and Paired Image Restoration

Xiaole Tang, Hu Xin, Xiang Gu et al.

Residual Denoising Diffusion Models

Jiawei Liu, Qiang Wang, Huijie Fan et al.

Residual Hyperbolic Graph Convolution Networks

Yangkai Xue, Jindou Dai, Zhipeng Lu et al.

Residual Learning in Diffusion Models

Junyu Zhang, Daochang Liu, Eunbyung Park et al.

Residual Quantization with Implicit Neural Codebooks

Iris Huijben, Matthijs Douze, Matthew Muckley et al.

Resilience of Entropy Model in Distributed Neural Networks

Milin Zhang, Mohammad Abdi, Shahriar Rifat et al.

ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation

Bo Zhang, Xinyu Cai, Jiakang Yuan et al.

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

Zhen Qin, Feiyi Chen, Chen Zhi et al.

Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree

Lang Feng, Pengjie Gu, Bo An et al.

ResMatch: Residual Attention Learning for Feature Matching

Yuxin Deng, Kaining Zhang, Shihua Zhang et al.

Resolution Limit of Single-Photon LiDAR

Stanley H. Chan, Hashan K Weerasooriya, Weijian Zhang et al.

Resolving Scale Ambiguity in Multi-view 3D Reconstruction using Dual-Pixel Sensors

Kohei Ashida, Hiroaki Santo, Fumio Okura 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

Resource-Efficient Transformer Pruning for Finetuning of Large Models

Fatih Ilhan, Gong Su, Selim Tekin et al.

Respect the model: Fine-grained and Robust Explanation with Sharing Ratio Decomposition

Sangyu Han, Yearim Kim, Nojun Kwak

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

Responsible Visual Editing

Minheng Ni, Yeli Shen, Yabin Zhang et al.

REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates

Arshia Afzal, Grigorios Chrysos, Volkan Cevher et al.

Restoration by Generation with Constrained Priors

Zheng Ding, Xuaner Zhang, Zhuowen Tu et al.

Restore Anything with Masks: Leveraging Mask Image Modeling for Blind All-in-One Image Restoration

Chu Jie Qin, Ruiqi Wu, Zikun Liu et al.

Restoring balance: principled under/oversampling of data for optimal classification

Emanuele Loffredo, Mauro Pastore, Simona Cocco et al.

Restoring Images in Adverse Weather Conditions via Histogram Transformer

Shangquan Sun, Wenqi Ren, Xinwei Gao et al.

Restoring Speaking Lips from Occlusion for Audio-Visual Speech Recognition

Jiadong Wang, Zexu Pan, Malu Zhang et al.

Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning

Dipam Goswami, Albin Soutif, Yuyang Liu et al.

ReSyncer: Rewiring Style-based Generator for Unified Audio-Visually Synced Facial Performer

Jiazhi Guan, Zhiliang Xu, Hang Zhou et al.

Retargeting Visual Data with Deformation Fields

Tim Elsner, Julia Berger, Tong Wu et al.

ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift

Hwanwoo Kim, Xin Zhang, Jiwei Zhao et al.

Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL

Xiangyu Liu, Souradip Chakraborty, Yanchao Sun et al.

Rethinking Adversarial Robustness in the Context of the Right to be Forgotten

Chenxu Zhao, Wei Qian, Yangyi Li et al.

Rethinking and Extending the Probabilistic Inference Capacity of GNNs

Tuo Xu, Lei Zou

Rethinking and Improving Visual Prompt Selection for In-Context Learning Segmentation Framework

Wei Suo, Lanqing Lai, Mengyang Sun et al.

Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective

Ming-Yu Chung, Sheng-Yen Chou, Chia-Mu Yu et al.

Rethinking Boundary Discontinuity Problem for Oriented Object Detection

Hang Xu, Xinyuan Liu, Haonan Xu et al.

Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework

Yufei Kuang, Jie Wang, Haoyang Liu et al.

Rethinking Causal Relationships Learning in Graph Neural Networks

Hang Gao, Chengyu Yao, Jiangmeng Li et al.

Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators

Lifan Zhao, Yanyan Shen

Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models

Jung Hwan Heo, Jeonghoon Kim, Beomseok Kwon et al.

Rethinking CNN’s Generalization to Backdoor Attack from Frequency Domain

Quanrui Rao, Lin Wang, Wuying Liu

Rethinking Complex Queries on Knowledge Graphs with Neural Link Predictors

Hang Yin, Zihao Wang, Yangqiu Song

Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather

Junsung Park, Kyungmin Kim, Hyunjung Shim

Re-thinking Data Availability Attacks Against Deep Neural Networks

Bin Fang, Bo Li, Shuang Wu et al.

Rethinking Data Bias: Dataset Copyright Protection via Embedding Class-wise Hidden Bias

Jinhyeok Jang, ByungOk Han, Jaehong Kim et al.

Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits

Jiachen Wang, Tianji Yang, James Zou et al.

Rethinking Decision Transformer via Hierarchical Reinforcement Learning

Yi Ma, Jianye Hao, Hebin Liang et al.

Rethinking Deep Unrolled Model for Accelerated MRI Reconstruction

Bingyu Xin, Meng Ye, Leon Axel et al.

Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution

Guangyuan Li, Chen Rao, Juncheng Mo et al.