GLOD: Gaussian Likelihood Out of Distribution Detector

16 Aug 2020Guy AmitMoshe LevyIshai RosenbergAsaf ShabtaiYuval Elovici

Discriminative deep neural networks (DNNs) do well at classifying input associated with the classes they have been trained on. However, out-of-distribution (OOD) input poses a great challenge to such models and consequently represents a major risk when these models are used in safety-critical systems... (read more)

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