Equivariant Transformer Networks

Kai Sheng Tai, Peter Bailis, Gregory Valiant

Abstract: How can prior knowledge on the transformation invariances of a domain be incorporated into the architecture of a neural network? We propose Equivariant Transformers (ETs), a family of differentiabl...