2020
Stable Rank Normalization for Improved Generalization in Neural Networks and GANs
ICLR 2020spotlight
Exciting new work on generalization bounds for neural networks (NN) given by Bartlett et al. (2017); Neyshabur et al. (2018) closely depend on two parameter- dependant quantities: the Lipschitz constant upper bound and the stable rank (a softer version of rank). Even though these bounds typically ha…