Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1808.04295
Cited By
Understanding training and generalization in deep learning by Fourier analysis
13 August 2018
Zhi-Qin John Xu
AI4CE
Re-assign community
ArXiv
PDF
HTML
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
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
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
Liu Zhendong
Wenyu Jiang
Yan Zhang
Chongjun Wang
CML
6
0
0
22 Jun 2022
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
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
S. Maddu
D. Sturm
Christian L. Müller
I. Sbalzarini
AI4CE
13
80
0
02 Jul 2021
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
22
79
0
17 Sep 2020
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
Wei Cai
Xiaoguang Li
Lizuo Liu
9
84
0
23 Sep 2019
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
Yaoyu Zhang
Zhi-Qin John Xu
Tao Luo
Zheng Ma
9
49
0
19 May 2019
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
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
273
2,886
0
15 Sep 2016
1