Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization)

Zhenyu Zhu, Fanghui Liu 0001, Grigorios Chrysos 0002, Volkan Cevher. Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization). In Sanmi Koyejo, S. Mohamed, A. Agarwal, Danielle Belgrave, K. Cho, A. Oh, editors, Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022. 2022. [doi]

Abstract

Abstract is missing.