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Neural Collapse: A Review on Modelling Principles and Generalization
v1v2 (latest)

Neural Collapse: A Review on Modelling Principles and Generalization

8 June 2022
Vignesh Kothapalli
ArXiv (abs)PDFHTML

Papers citing "Neural Collapse: A Review on Modelling Principles and Generalization"

5 / 55 papers shown
Title
Unsupervised Deep Embedding for Clustering Analysis
Unsupervised Deep Embedding for Clustering Analysis
Junyuan Xie
Ross B. Girshick
Ali Farhadi
SSL
89
2,875
0
19 Nov 2015
Deep Neural Networks with Random Gaussian Weights: A Universal
  Classification Strategy?
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?
Raja Giryes
Guillermo Sapiro
A. Bronstein
104
187
0
30 Apr 2015
Exact solutions to the nonlinear dynamics of learning in deep linear
  neural networks
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
Andrew M. Saxe
James L. McClelland
Surya Ganguli
ODL
178
1,849
0
20 Dec 2013
Invariant Scattering Convolution Networks
Invariant Scattering Convolution Networks
Joan Bruna
S. Mallat
125
1,278
0
05 Mar 2012
A Kernel Method for the Two-Sample Problem
A Kernel Method for the Two-Sample Problem
Arthur Gretton
Karsten Borgwardt
Malte J. Rasch
Bernhard Schölkopf
Alex Smola
231
2,363
0
15 May 2008
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