2022
Self-Supervised Learning Through Efference Copies
NeurIPS 2022accept
Self-supervised learning (SSL) methods aim to exploit the abundance of unlabelled data for machine learning (ML), however the underlying principles are often method-specific. An SSL framework derived from biological first principles of embodied learning could unify the various SSL methods, help eluc…