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575,626 papers

An Intelligent Fault Self-Healing Mechanism for Cloud AI Systems via Integration of Large Language Models and Deep Reinforcement Learning

Ze Yang, Yihong Jin, Juntian Liu, Xinhe Xu

2025-06-09Reinforcement LearningLarge Language Modelreinforcement-learning
Paper
Curriculum Learning With Counterfactual Group Relative Policy Advantage For Multi-Agent Reinforcement Learning

Weiqiang Jin, Hongyang Du, Guizhong Liu, Dong In Kim

2025-06-09SMAC+Multi-agent Reinforcement LearningSMAC
PaperCode
Improving Memory Efficiency for Training KANs via Meta Learning

Zhangchi Zhao, Jun Shu, Deyu Meng, Zongben Xu

2025-06-09Meta-LearningImage ClassificationSymbolic Regression
PaperCode
Egocentric Event-Based Vision for Ping Pong Ball Trajectory Prediction

Ivan Alberico, Marco Cannici, Giovanni Cioffi, Davide Scaramuzza

2025-06-09Trajectory ForecastingEvent-based visionTrajectory Prediction
PaperCode
SALT: A Lightweight Model Adaptation Method for Closed Split Computing Environments

Yuya Okada, Takayuki Nishio

2025-06-09
Paper
From Static to Adaptive Defense: Federated Multi-Agent Deep Reinforcement Learning-Driven Moving Target Defense Against DoS Attacks in UAV Swarm Networks

Yuyang Zhou, Guang Cheng, Kang Du, Zihan Chen, Tian Qin et al.

2025-06-09
PaperCode
Federated In-Context Learning: Iterative Refinement for Improved Answer Quality

Ruhan Wang, Zhiyong Wang, Chengkai Huang, Rui Wang, Tong Yu et al.

2025-06-09Question Answering
Paper
LlamaRec-LKG-RAG: A Single-Pass, Learnable Knowledge Graph-RAG Framework for LLM-Based Ranking

Vahid Azizi, Fatemeh Koochaki

2025-06-09RetrievalRecommendation SystemsRAG
PaperCode
PhysiInter: Integrating Physical Mapping for High-Fidelity Human Interaction Generation

Wei Yao, Yunlian Sun, Chang Liu, Hongwen Zhang, Jinhui Tang et al.

2025-06-09Motion Generation
Paper
Addressing Correlated Latent Exogenous Variables in Debiased Recommender Systems

Shuqiang Zhang, Yuchao Zhang, Jinkun Chen, Haochen Sui

2025-06-09FairnessImputationSelection bias+1
PaperCode
Synesthesia of Machines (SoM)-Aided Online FDD Precoding via Heterogeneous Multi-Modal Sensing: A Vertical Federated Learning Approach

Haotian Zhang, Shijian Gao, Weibo Wen, Xiang Cheng, Liuqing Yang et al.

2025-06-09Federated Learning
Paper
Learning Speaker-Invariant Visual Features for Lipreading

Yu Li, Feng Xue, Shujie Li, Jinrui Zhang, Shuang Yang et al.

2025-06-09Speaker RecognitionDisentanglementLipreading
Paper
FedCGD: Collective Gradient Divergence Optimized Scheduling for Wireless Federated Learning

Tan Chen, Jintao Yan, Yuxuan Sun, Sheng Zhou, Zhisheng Niu et al.

2025-06-09Federated LearningScheduling
Paper
TimberStrike: Dataset Reconstruction Attack Revealing Privacy Leakage in Federated Tree-Based Systems

Marco Di Gennaro, Giovanni De Lucia, Stefano Longari, Stefano Zanero, Michele Carminati et al.

2025-06-09Federated LearningPrivacy Preserving
PaperCode
The Universality Lens: Why Even Highly Over-Parametrized Models Learn Well

Meir Feder, Ruediger Urbanke, Yaniv Fogel

2025-06-09Ensemble Learning
Paper
Clustered Federated Learning via Embedding Distributions

Dekai Zhang, Matthew Williams, Francesca Toni

2025-06-09Federated LearningClusteringDomain Adaptation
PaperCode
Simulating nationwide coupled disease and fear spread in an agent-based model

Joy Kitson, Prescott C. Alexander, Joseph Tuccillo, Abhinav Bhatele, Sara Y. Del Valle et al.

2025-06-09
Paper
Language Models over Canonical Byte-Pair Encodings

Tim Vieira, Tianyu Liu, Clemente Pasti, Yahya Emara, Brian DuSell et al.

2025-06-09
Paper
Correlated Errors in Large Language Models

Elliot Kim, Avi Garg, Kenny Peng, Nikhil Garg

2025-06-09
Paper
A Two-Phase Deep Learning Framework for Adaptive Time-Stepping in High-Speed Flow Modeling

Jacob Helwig, Sai Sreeharsha Adavi, Xuan Zhang, Yuchao Lin, Felix S. Chim et al.

2025-06-09
PaperCode
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