Unsupervised Out-of-Distribution Detection by Restoring Lossy Inputs with Variational Autoencoder

Zezhen Zeng, Bin Liu

Deep generative models have been demonstrated as problematic in the unsupervised out-of-distribution (OOD) detection task, where they tend to assign higher likelihoods to OOD sampl…