Novelty Detection with GAN

ICLR 2018 Mark KligerShachar Fleishman

The ability of a classifier to recognize unknown inputs is important for many classification-based systems. We discuss the problem of simultaneous classification and novelty detection, i.e. determining whether an input is from the known set of classes and from which specific class, or from an unknown domain and does not belong to any of the known classes... (read more)

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