Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness

Fanny Yang, Zuowen Wang, Christina Heinze-Deml. Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness. In Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d'Alché-Buc, Edward A. Fox, Roman Garnett, editors, Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada. pages 14757-14768, 2019. [doi]

Abstract

Abstract is missing.