What Affects Learned Equivariance in Deep Image Recognition Models?

no code implementations • 5 Apr 2023 • Robert-Jan Bruintjes, Tomasz Motyka, Jan van Gemert

We therefore investigate what can increase the learned equivariance in neural networks, and find that data augmentation, reduced model capacity and inductive bias in the form of convolutions induce higher learned equivariance in neural networks.

Data Augmentation Inductive Bias +1