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Frequency Principle in Deep Learning Beyond Gradient-descent-based
  Training

Frequency Principle in Deep Learning Beyond Gradient-descent-based Training

4 January 2021
Yuheng Ma
Zhi-Qin John Xu
Jiwei Zhang
ArXiv (abs)PDFHTML

Papers citing "Frequency Principle in Deep Learning Beyond Gradient-descent-based Training"

3 / 3 papers shown
Title
Fast Fourier Correlation is a Highly Efficient and Accurate Feature Attribution Algorithm from the Perspective of Control Theory and Game Theory
Fast Fourier Correlation is a Highly Efficient and Accurate Feature Attribution Algorithm from the Perspective of Control Theory and Game Theory
Zechen Liu
Feiyang Zhang
Wei Song
Xuelong Li
Wei Wei
FAtt
344
0
0
02 Apr 2025
On the Activation Function Dependence of the Spectral Bias of Neural
  Networks
On the Activation Function Dependence of the Spectral Bias of Neural Networks
Q. Hong
Jonathan W. Siegel
Qinyan Tan
Jinchao Xu
260
36
0
09 Aug 2022
Overview frequency principle/spectral bias in deep learning
Overview frequency principle/spectral bias in deep learningCommunication on Applied Mathematics and Computation (CAMC), 2022
Z. Xu
Yaoyu Zhang
Yaoyu Zhang
FaML
300
114
0
19 Jan 2022
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