Training OOD Detectors in their Natural Habitats

Julian Katz-Samuels, Julia B. Nakhleh, Robert D. Nowak, Yixuan Li

Abstract: Out-of-distribution (OOD) detection is important for machine learning models deployed in the wild. Recent methods use auxiliary outlier data to regularize the model for improved OOD detection. Howe...