Positive Difference Distribution for Image Outlier Detection using Normalizing Flows and Contrastive Data

Robert Schmier, Ullrich Köthe, Christoph-Nikolas Straehle

Detecting test data deviating from training data is a central problem for safe and robust machine learning. Likelihoods learned by a generative model, e.g., a normalizing flow via…