Equivariance Through Parameter-Sharing

Siamak Ravanbakhsh, Jeff G. Schneider, Barnabás Póczos

Abstract: We propose to study equivariance in deep neural networks through parameter symmetries. In particular, given a group G that acts discretely on the input and output of a standard neural network layer...