Addressing Failure Prediction by Learning Model Confidence

Charles Corbière, Nicolas Thome, Avner Bar-Hen +2

Assessing reliably the confidence of a deep neural network and predicting its failures is of primary importance for the practical deployment of these models. In this paper, we prop…