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A spectral-based analysis of the separation between two-layer neural
  networks and linear methods

A spectral-based analysis of the separation between two-layer neural networks and linear methods

10 August 2021
Lei Wu
Jihao Long
ArXivPDFHTML

Papers citing "A spectral-based analysis of the separation between two-layer neural networks and linear methods"

3 / 3 papers shown
Title
Analyzing the Role of Permutation Invariance in Linear Mode Connectivity
Keyao Zhan
Puheng Li
Lei Wu
MoMe
82
0
0
13 Mar 2025
Learning with Norm Constrained, Over-parameterized, Two-layer Neural
  Networks
Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks
Fanghui Liu
L. Dadi
V. Cevher
82
2
0
29 Apr 2024
Learning Lipschitz Functions by GD-trained Shallow Overparameterized
  ReLU Neural Networks
Learning Lipschitz Functions by GD-trained Shallow Overparameterized ReLU Neural Networks
Ilja Kuzborskij
Csaba Szepesvári
21
4
0
28 Dec 2022
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