AI RESEARCH
AOE: Exhaustive Out-of-Distribution Detection via Recalibrating Outlier Labels
arXiv CS.LG
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ArXi:2605.28021v1 Announce Type: new Out-of-distribution (OOD) detection is essential for deploying machine learning models in open-world and safety-critical scenarios, where test inputs may deviate from the