Papers
Representation Learning Based Predicate Invention on Knowledge Graphs
Man Zhu, Pengfei Huang, Lei Gu et al.
Representation Space Augmentation for Effective Self-Supervised Learning on Tabular Data
Moonjung Eo, Kyungeun Lee, Hye-Seung Cho et al.
Representing Sounds as Neural Amplitude Fields: A Benchmark of Coordinate-MLPs and a Fourier Kolmogorov-Arnold Framework
Linfei Li, Lin Zhang, Zhong Wang et al.
Reputation-aware Revenue Allocation for Auction-based Federated Learning
Xiaoli Tang, Han Yu
ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models
Jiaxiang Cheng, Pan Xie, Xin Xia et al.
Residual Diffusion Deblurring Model for Single Image Defocus Deblurring
Haoxuan Feng, Haohui Zhou, Tian Ye et al.
ResMaster: Mastering High-Resolution Image Generation via Structural and Fine-Grained Guidance
Shuwei Shi, Wenbo Li, Yuechen Zhang et al.
Resolving Multi-Condition Confusion for Finetuning-Free Personalized Image Generation
Qihan Huang, Siming Fu, Jinlong Liu et al.
Resource Constrained Pathfinding with Enhanced Bidirectional A* Search
Saman Ahmadi, Andrea Raith, Guido Tack et al.
Responsibility-aware Strategic Reasoning in Probabilistic Multi-Agent Systems
Chunyan Mu, Muhammad Najib, Nir Oren
Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting
Qiang Gao, Zizheng Wang, Li Huang et al.
RESQUE: Quantifying Estimator to Task and Distribution Shift for Sustainable Model Reusability
Vishwesh Sangarya, Jung-Eun Kim
Restabilizing Diffusion Models with Predictive Noise Fusion Strategy for Image Super-Resolution
Luoqian Jiang, Yong Guo, Bingna Xu et al.
Retention Score: Quantifying Jailbreak Risks for Vision Language Models
Zaitang LI, Pin-Yu Chen, Tsung-Yi Ho
Rethinking and Improving Student Learning and Forgetting Processes for Attention based Knowledge Tracing Models
Youheng Bai, Xueyi Li, Zitao Liu et al.
Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective
Zhongjian Zhang, Mengmei Zhang, Xiao Wang et al.
Rethinking Cancer Gene Identification Through Graph Anomaly Analysis
Yilong Zang, Lingfei Ren, Yue Li et al.
Rethinking High-speed Image Reconstruction Framework with Spike Camera
Kang Chen, Yajing Zheng, Tiejun Huang et al.
Rethinking Masked Data Reconstruction Pretraining for Strong 3D Action Representation Learning
Tao Gong, Qi Chu, Bin Liu et al.
Rethinking Open-Vocabulary Segmentation of Radiance Fields in 3D Space
Hyunjee Lee, Youngsik Yun, Jeongmin Bae et al.
Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction
Quan Zhang, Yuxin Qi, Xi Tang et al.
Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks
Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour et al.
Rethinking Transformer-Based Blind-Spot Network for Self-Supervised Image Denoising
Junyi Li, Zhilu Zhang, Wangmeng Zuo
Rethinking U-Net: Task-Adaptive Mixture of Skip Connections for Enhanced Medical Image Segmentation
Zichen Luo, Xinshan Zhu, Lan Zhang et al.