BaCOUn: Bayesian Classifers with Out-of-Distribution Uncertainty

Théo Guénais, Dimitris Vamvourellis, Yaniv Yacoby +2

Traditional training of deep classifiers yields overconfident models that are not reliable under dataset shift. We propose a Bayesian framework to obtain reliable uncertainty estim…