José F. Núñez

Input Complexity and Out-of-distribution Detection with Likelihood-based Generative Models

Likelihood-based generative models are a promising resource to detect out-of-distribution (OOD) inputs which could compromise the robustness or reliability of a machine learning system. However, likelihoods derived from such models have been shown to be problematic for detecting certain types of inp…