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Shinjin Kang

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#machine learning Preprint Oct 2026

Dataset Identity, Not Novelty: The Source of an Inflated OOD Detection Gain

A post-hoc out-of-distribution (OOD) detector reads the activations of a trained classifier and returns a score. It fits that score on in-distribution data, and the benchmarks that evaluate it supply a second piece of OOD data for the fitting itself. Some detectors tune a constant on it. Others fit a direction in featu...

Donghoon Lee, Shinjin Kang · 0 citations
#machine learning Preprint Sep 2026

Verdict Instability of OOD Scores under Reference Resampling

A rule is given that predicts that abstention driven by a wrong-signed score turns out worse than abstention at random on every dataset the authors test, and abstention driven by a wrong-signed score turns out worse than abstention at random on every dataset they test.

Donghoon Lee, Shinjin Kang · 0 citations

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