Learning with Instance-Dependent Noisy Labels by Anchor Hallucination and Hard Sample Label Correctionby Po-Hsuan Huang,…
A Hybrid Training-time and Run-time Defense Against Adversarial Attacks in Modulation Classificationby Lu Zhang, Sangarapillai…
AI-driven multi-omics integration for multi-scale predictive modeling of causal genotype-environment-phenotype relationshipsby You Wu, Lei XieFirst…
Video-STaR: Self-Training Enables Video Instruction Tuning with Any Supervisionby Orr Zohar, Xiaohan Wang, Yonatan Bitton,…
Contrastive Learning of Preferences with a Contextual InfoNCE Lossby Timo Bertram, Johannes Fürnkranz, Martin MüllerFirst…
Structural Generalization in Autonomous Cyber Incident Response with Message-Passing Neural Networks and Reinforcement Learningby Jakob…
KAE: A Property-based Method for Knowledge Graph Alignment and Extensionby Daqian Shi, Xiaoyue Li, Fausto…
Artificial intelligence, rationalization, and the limits of control in the public sector: the case of…
Experiments with truth using Machine Learning: Spectral analysis and explainable classification of synthetic, false, and…
A Survey of Models for Cognitive Diagnosis: New Developments and Future Directionsby Fei Wang, Weibo…