ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1905.10264
  4. Cited By
Explicitizing an Implicit Bias of the Frequency Principle in Two-layer
  Neural Networks

Explicitizing an Implicit Bias of the Frequency Principle in Two-layer Neural Networks

24 May 2019
Yaoyu Zhang
Zhi-Qin John Xu
Tao Luo
Zheng Ma
    MLT
    AI4CE
ArXivPDFHTML

Papers citing "Explicitizing an Implicit Bias of the Frequency Principle in Two-layer Neural Networks"

10 / 10 papers shown
Title
Spectral Regularization Allows Data-frugal Learning over Combinatorial
  Spaces
Spectral Regularization Allows Data-frugal Learning over Combinatorial Spaces
Amirali Aghazadeh
Nived Rajaraman
Tony Tu
Kannan Ramchandran
22
2
0
05 Oct 2022
HDNet: High-resolution Dual-domain Learning for Spectral Compressive
  Imaging
HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging
Xiaowan Hu
Yuanhao Cai
Jing Lin
Haoqian Wang
X. Yuan
Yulun Zhang
Radu Timofte
Luc Van Gool
37
134
0
04 Mar 2022
Overview frequency principle/spectral bias in deep learning
Overview frequency principle/spectral bias in deep learning
Z. Xu
Yaoyu Zhang
Tao Luo
FaML
33
66
0
19 Jan 2022
Data-informed Deep Optimization
Data-informed Deep Optimization
Lulu Zhang
Z. Xu
Yaoyu Zhang
AI4CE
35
3
0
17 Jul 2021
Frequency Principle in Deep Learning Beyond Gradient-descent-based
  Training
Frequency Principle in Deep Learning Beyond Gradient-descent-based Training
Yuheng Ma
Zhi-Qin John Xu
Jiwei Zhang
24
7
0
04 Jan 2021
Fourier-domain Variational Formulation and Its Well-posedness for
  Supervised Learning
Fourier-domain Variational Formulation and Its Well-posedness for Supervised Learning
Tao Luo
Zheng Ma
Zhiwei Wang
Zhi-Qin John Xu
Yaoyu Zhang
OOD
47
4
0
06 Dec 2020
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural
  Networks
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks
Blake Bordelon
Abdulkadir Canatar
Cengiz Pehlevan
146
201
0
07 Feb 2020
Multi-scale Deep Neural Networks for Solving High Dimensional PDEs
Multi-scale Deep Neural Networks for Solving High Dimensional PDEs
Wei Cai
Zhi-Qin John Xu
AI4CE
19
38
0
25 Oct 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
26
78
0
21 Jun 2019
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
308
2,892
0
15 Sep 2016
1