Aleksandr Abramov

Complexity Induction: Compositional Generalization via Structured Training Distortion

It is demonstrated that structured distortion of training data can induce compositional generalization in a standard CNN classifier without architectural modification, and suggests that structured complication of training signals can influence both the internal organization of learned representations and their composit...