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Exploring the Complexity of Deep Neural Networks through Functional
  Equivalence

Exploring the Complexity of Deep Neural Networks through Functional Equivalence

19 May 2023
Guohao Shen
ArXivPDFHTML

Papers citing "Exploring the Complexity of Deep Neural Networks through Functional Equivalence"

5 / 5 papers shown
Title
Git Re-Basin: Merging Models modulo Permutation Symmetries
Git Re-Basin: Merging Models modulo Permutation Symmetries
Samuel K. Ainsworth
J. Hayase
S. Srinivasa
MoMe
255
314
0
11 Sep 2022
Functional dimension of feedforward ReLU neural networks
Functional dimension of feedforward ReLU neural networks
J. E. Grigsby
Kathryn A. Lindsey
R. Meyerhoff
Chen-Chun Wu
27
11
0
08 Sep 2022
Theory of Deep Convolutional Neural Networks II: Spherical Analysis
Theory of Deep Convolutional Neural Networks II: Spherical Analysis
Zhiying Fang
Han Feng
Shuo Huang
Ding-Xuan Zhou
40
37
0
28 Jul 2020
Understanding symmetries in deep networks
Understanding symmetries in deep networks
Vijay Badrinarayanan
Bamdev Mishra
R. Cipolla
221
42
0
03 Nov 2015
Norm-Based Capacity Control in Neural Networks
Norm-Based Capacity Control in Neural Networks
Behnam Neyshabur
Ryota Tomioka
Nathan Srebro
119
577
0
27 Feb 2015
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