Concept frustration: Aligning human concepts and machine representations
arXiv:2603.29654v1 Announce Type: cross Abstract: Aligning human-interpretable concepts with the internal representations learned by modern machine learning systems remains a…
6GAgentGym: Tool Use, Data Synthesis, and Agentic Learning for Network Management
arXiv:2603.29656v1 Announce Type: cross Abstract: Autonomous 6G network management requires agents that can execute tools, observe the resulting state changes,…
Detection of Adversarial Attacks in Robotic Perception
arXiv:2603.28594v2 Announce Type: replace-cross Abstract: Deep Neural Networks (DNNs) achieve strong performance in semantic segmentation for robotic perception but remain…
Pseudo Label NCF for Sparse OHC Recommendation: Dual Representation Learning and the Separability Accuracy Trade off
arXiv:2603.24750v2 Announce Type: replace-cross Abstract: Online Health Communities connect patients for peer support, but users face a discovery challenge when…
Time is Not Compute: Scaling Laws for Wall-Clock Constrained Training on Consumer GPUs
arXiv:2603.28823v1 Announce Type: cross Abstract: Scaling laws relate model quality to compute budget (FLOPs), but practitioners face wall-clock time constraints,…