Rethinking deep active learning: Using unlabeled data at model training

Oriane Siméoni, Mateusz Budnik, Yannis Avrithis +1

Active learning typically focuses on training a model on few labeled examples alone, while unlabeled ones are only used for acquisition. In this work we depart from this setting by…