Sudeepta Mondal

A Variational Information Theoretic Approach to Out-of-Distribution Detection

We present a theory for the construction of out-of-distribution (OOD) detection features for neural networks. We introduce random features for OOD through a novel information-theoretic loss functional consisting of two terms, the first based on the KL divergence separates resulting in-distribution (…