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Enhancing Accuracy in Deep Learning Using Random Matrix Theory

Enhancing Accuracy in Deep Learning Using Random Matrix Theory

4 October 2023
Leonid Berlyand
Etienne Sandier
Yitzchak Shmalo
Lei Zhang
    AAML
ArXivPDFHTML

Papers citing "Enhancing Accuracy in Deep Learning Using Random Matrix Theory"

3 / 3 papers shown
Title
The large learning rate phase of deep learning: the catapult mechanism
The large learning rate phase of deep learning: the catapult mechanism
Aitor Lewkowycz
Yasaman Bahri
Ethan Dyer
Jascha Narain Sohl-Dickstein
Guy Gur-Ari
ODL
159
234
0
04 Mar 2020
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
179
1,185
0
30 Nov 2014
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,634
0
03 Jul 2012
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