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Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK
  Approach

Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach

9 October 2023
Shaopeng Fu
Di Wang
    AAML
ArXivPDFHTML

Papers citing "Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach"

2 / 2 papers shown
Title
Robustness in deep learning: The good (width), the bad (depth), and the
  ugly (initialization)
Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization)
Zhenyu Zhu
Fanghui Liu
Grigorios G. Chrysos
V. Cevher
27
19
0
15 Sep 2022
Fast Neural Kernel Embeddings for General Activations
Fast Neural Kernel Embeddings for General Activations
Insu Han
A. Zandieh
Jaehoon Lee
Roman Novak
Lechao Xiao
Amin Karbasi
43
17
0
09 Sep 2022
1