3 papers
cs.LG2026
Neural Collapse Is Forbidden: Information Floors in Language Models
Bruno Abrahao
Within-class variance in language-model representations is commonly read as incomplete neural collapse. We argue it is allocated information storage, and that the allocation obeys…
cs.LG2026
GEODE: Angle-Adaptive OOD Detection with Universal Scorer Compatibility
Bruno Abrahao
Outlier Exposure (OE) is among the strongest training-based OOD detectors on standard benchmarks but exhibits scorer-dependent tradeoffs (e.g., strong on MSP, weak on KNN) and requ…
cs.CV2025
BootOOD: Self-Supervised Out-of-Distribution Detection via Synthetic Sample Exposure under Neural Collapse
Yuanchao Wang, Tian Qin, Eduardo Valle +1
Out-of-distribution (OOD) detection is critical for deploying image classifiers in safety-sensitive environments, yet existing detectors often struggle when OOD samples are semanti…