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

15 September 2022

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

3 / 3 papers shown

Title
Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels Simone Bombari Shayan Kiyani Marco Mondelli AAML 11 10 0 03 Feb 2023
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks Hanxun Huang Yisen Wang S. Erfani Quanquan Gu James Bailey Xingjun Ma AAML TPM 44 100 0 07 Oct 2021
A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network Mo Zhou Rong Ge Chi Jin 67 44 0 04 Feb 2021