Implicit Bias of Linear Equivariant Networks

1 code implementation • 12 Oct 2021 • Hannah Lawrence, Kristian Georgiev, Andrew Dienes, Bobak T. Kiani

Group equivariant convolutional neural networks (G-CNNs) are generalizations of convolutional neural networks (CNNs) which excel in a wide range of technical applications by explicitly encoding symmetries, such as rotations and permutations, in their architectures.

Binary Classification