Semantic representations emerge in biologically inspired ensembles of cross-supervising neural networks

Roy Urbach, Elad Schneidman

Brains learn to represent information from a large set of stimuli, typically by weak supervision. Unsupervised learning is therefore a natural approach for exploring the design of…