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Understanding training and generalization in deep learning by Fourier
  analysis

Understanding training and generalization in deep learning by Fourier analysis

13 August 2018
Zhi-Qin John Xu
    AI4CE
ArXivPDFHTML

Papers citing "Understanding training and generalization in deep learning by Fourier analysis"

13 / 13 papers shown
Title
Implicit Neural Representations with Fourier Kolmogorov-Arnold Networks
Implicit Neural Representations with Fourier Kolmogorov-Arnold Networks
Ali Mehrabian
Parsa Mojarad Adi
Moein Heidari
I. Hacihaliloglu
36
3
0
14 Sep 2024
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
32
22
0
09 Aug 2022
Explanation-based Counterfactual Retraining(XCR): A Calibration Method
  for Black-box Models
Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models
Liu Zhendong
Wenyu Jiang
Yan Zhang
Chongjun Wang
CML
6
0
0
22 Jun 2022
Overview frequency principle/spectral bias in deep learning
Overview frequency principle/spectral bias in deep learning
Z. Xu
Yaoyu Zhang
Tao Luo
FaML
25
65
0
19 Jan 2022
Discovering and Explaining the Representation Bottleneck of DNNs
Discovering and Explaining the Representation Bottleneck of DNNs
Huiqi Deng
Qihan Ren
Hao Zhang
Quanshi Zhang
32
59
0
11 Nov 2021
Inverse-Dirichlet Weighting Enables Reliable Training of Physics
  Informed Neural Networks
Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks
S. Maddu
D. Sturm
Christian L. Müller
I. Sbalzarini
AI4CE
13
80
0
02 Jul 2021
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
22
79
0
17 Sep 2020
Towards Understanding the Spectral Bias of Deep Learning
Towards Understanding the Spectral Bias of Deep Learning
Yuan Cao
Zhiying Fang
Yue Wu
Ding-Xuan Zhou
Quanquan Gu
16
214
0
03 Dec 2019
A Phase Shift Deep Neural Network for High Frequency Approximation and
  Wave Problems
A Phase Shift Deep Neural Network for High Frequency Approximation and Wave Problems
Wei Cai
Xiaoguang Li
Lizuo Liu
9
84
0
23 Sep 2019
Theory of the Frequency Principle for General Deep Neural Networks
Theory of the Frequency Principle for General Deep Neural Networks
Tao Luo
Zheng Ma
Zhi-Qin John Xu
Yaoyu Zhang
16
78
0
21 Jun 2019
A type of generalization error induced by initialization in deep neural
  networks
A type of generalization error induced by initialization in deep neural networks
Yaoyu Zhang
Zhi-Qin John Xu
Tao Luo
Zheng Ma
9
49
0
19 May 2019
On the Spectral Bias of Neural Networks
On the Spectral Bias of Neural Networks
Nasim Rahaman
A. Baratin
Devansh Arpit
Felix Dräxler
Min-Bin Lin
Fred Hamprecht
Yoshua Bengio
Aaron Courville
28
1,384
0
22 Jun 2018
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
273
2,886
0
15 Sep 2016
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