Hava Siegelmann

Abstraction Mechanisms Predict Generalization in Deep Neural Networks

A longstanding problem for Deep Neural Networks (DNNs) is understanding their puzzling ability to generalize well. We approach this problem through the unconventional angle of \emph{cognitive abstraction mechanisms}, drawing inspiration from recent neuroscience work, allowing us to define the Cognit…