2018
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
NeurIPS 2018poster
Novelty detection is the problem of identifying whether a new data point is considered to be an inlier or an outlier. We assume that training data is available to describe only the inlier distribution. Recent approaches primarily leverage deep encoder-decoder network architectures to compute a recon…