Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder

6 Mar 2020Zhisheng XiaoQing YanYali Amit

Deep probabilistic generative models enable modeling the likelihoods of very high dimensional data. An important application of generative modeling should be the ability to detect out-of-distribution (OOD) samples by setting a threshold on the likelihood... (read more)

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