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Found 2 papers, 1 papers with code
Unsupervised Out-of-Distribution Detection by Restoring Lossy Inputs with Variational Autoencoder
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 samples.
Out-of-Distribution Detection
Out of Distribution (OOD) Detection
Imagining the Latent Space of a Variational Auto-Encoders
Variational Auto-Encoders (VAEs) are designed to capture compressible information about a dataset.
