Drifting explanations in continual learning

Andrea Cossu, Francesco Spinnato, Riccardo Guidotti, Davide Bacciu

Abstract: Highlights•Continual learning models with similar accuracy produce different explanations.•Continual learning strategies align explanations to the ones of an offline model.•Randomized networks produce better aligned explanations than fully-trained models.