Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection

Erik Daxberger, José Miguel Hernández-Lobato

Despite their successes, deep neural networks may make unreliable predictions when faced with test data drawn from a distribution different to that of the training data, constituti…