Why Normalizing Flows Fail to Detect Out-of-Distribution Data

Polina Kirichenko, Pavel Izmailov, Andrew Gordon Wilson

Detecting out-of-distribution (OOD) data is crucial for robust machine learning systems. Normalizing flows are flexible deep generative models that often surprisingly fail to disti…