$p$-DkNN: Out-of-Distribution Detection Through Statistical Testing of Deep Representations

no code implementations • 25 Jul 2022 • Adam Dziedzic, Stephan Rabanser, Mohammad Yaghini, Armin Ale, Murat A. Erdogdu, Nicolas Papernot

We introduce $p$-DkNN, a novel inference procedure that takes a trained deep neural network and analyzes the similarity structures of its intermediate hidden representations to compute $p$-values associated with the end-to-end model prediction.

Autonomous Driving Out-of-Distribution Detection +1