Search Results for author: José F. Núñez

Found 1 papers, 1 papers with code

Input complexity and out-of-distribution detection with likelihood-based generative models

2 code implementations ICLR 2020 Joan Serrà, David Álvarez, Vicenç Gómez, Olga Slizovskaia, José F. Núñez, Jordi Luque

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.

Anomaly Detection OOD Detection +1

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