Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations

Alexander Immer, Tycho F. A. van der Ouderaa, Gunnar Rätsch +2

Data augmentation is commonly applied to improve performance of deep learning by enforcing the knowledge that certain transformations on the input preserve the output. Currently, t…