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Generative Probabilistic Novelty Detection with Adversarial Autoencoders

NeurIPS 2018 • Stanislav Pidhorskyi • Ranya Almohsen • Donald A. Adjeroh • Gianfranco Doretto

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... (read more)

PDF Abstract NeurIPS 2018 PDF NeurIPS 2018 Abstract

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podgorskiy/GPND official

113

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ONE-CLASS CLASSIFIER

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ImageNet

CIFAR-10

CIFAR-100

Fashion-MNIST

iSUN

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