Papers
Removing Box-Free Watermarks for Image-to-Image Models via Query-Based Reverse Engineering
Haonan An, Guang Hua, Hangcheng Cao et al.
RENEW: Risk- and Energy-Aware Navigation in Dynamic Waterways
Mingi Jeong, Alberto Quattrini Li
Renormalization Group Guided Tensor Network Structure Search
Maolin Wang, Bowen Yu, Sheng Zhang et al.
Rep Deep & Machine Learning: Exemplar-Free Continual Video Action Recognition via Slow-Fast Collaborative Learning
Xueyi Zhang, Chengwei Zhang, Zheng Li et al.
Repetition Makes Perfect: Recurrent Graph Neural Networks Match Message Passing Limit
Eran Rosenbluth, Martin Grohe
Requirements for Aligned, Dynamic Resolution of Conflicts in Operational Constraints
Steven J. Jones, Robert E. Wray, John E. Laird
Res-Bench: Benchmarking the Robustness of Multimodal Large Language Models to Dynamic Resolution Input
Chenxu Li, Zhicai Wang, Yuan Sheng et al.
Rescind: Countering Image Misconduct in Biomedical Publications with Vision-Language and State-Space Modeling
Soumyaroop Nandi, Prem Natarajan
RescueLens: LLM-Powered Triage and Action on Volunteer Feedback for Food Rescue
Naveen Janaki Raman, Jingwu Tang, Zhiyu Chen et al.
Resilience in Ambient Multi-Agent LLMs via Decentralized Bio-Autonomic Control and Immune-Inspired Anomaly Detection
Nastaran Darabi, Devashri Naik, Sina Tayebati et al.
Resilience Inference for Supply Chains with Hypergraph Neural Network
Zetian Shen, Hongjun Wang, Jiyuan Chen et al.
Resilient UAV Swarm with Fast Connectivity Recovery and Extensive Coverage
Yabin Peng, Chenyu Zhou, Hainan Cui et al.
ResMAS: Resilience Optimization in LLM-based Multi-agent Systems
Zhilun Zhou, Zihan Liu, Jiahe Liu et al.
ResNet-GA: Evolutionary Deep Learning Models for Adversarial Defense (Student Abstract)
Li-Chiao Wang, Chung-Shou Liao, Wei Liu
Resolving Predictive Multiplicity for the Rashomon Set
Parian Haghighat, Hadis Anahideh, Cynthia Rudin
Resource Efficient Sleep Staging via Multi-Level Masking and Prompt Learning
Lejun Ai, Yulong Li, Haodong Yi et al.
RESPOND: Realistic Environment Simulation of Population and Natural Disasters with LLM-Driven Agents
Roman Sultimov, Mikhail Mozikov, Dmitrii Abramov et al.
RESPOND: Realistic Environment Simulation of Population and Natural Disasters with LLM-Driven Agents (Student Abstract)
Roman Sultimov, Mikhail Mozikov, Dmitrii Abramov et al.
Response Attack: Exploiting Contextual Priming to Jailbreak Large Language Models
Miao Ziqi, Lijun Li, Yuan Xiong et al.
Responsible Mechanism Design
Pavel Naumov
ResProto-FD: Visual-Language Residual Prototype Sets for Generalized Face Forgery Detection
Jiuyao Jing, Yu Zheng, Chunlei Peng
Re-SpS: A Reinforcement Learning Approach to Speculative Sampling
Chenan Wang, Daniel H. Shi, Haipeng Chen
RESTL: Reinforcement Learning Guided by Multi-Aspect Rewards for Signal Temporal Logic Transformation
Yue Fang, Zhi Jin, Jie An et al.
Retaliatory Attacks Against Federated Unlearning via Data Leakage
Xinyi Sheng, Wei Bao, Hequn Wang et al.
Rethinking AI: From Functions to Functors
Sridhar Mahadevan