Out-of-distribution detection for regression tasks: parameter versus predictor entropy

Yann Pequignot, Mathieu Alain, Patrick Dallaire +4

It is crucial to detect when an instance lies downright too far from the training samples for the machine learning model to be trusted, a challenge known as out-of-distribution (OO…