AI RESEARCH
Vendi Novelty Scores for Out-of-Distribution Detection
arXiv CS.CV
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ArXi:2602.10062v2 Announce Type: replace-cross Out-of-distribution (OOD) detection is critical for the safe deployment of machine learning systems. Existing post-hoc detectors typically rely on model confidence scores or likelihood estimates in feature space, often under restrictive distributional assumptions. In this work, we