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Largest Eigenvalues of the Conjugate Kernel of Single-Layered Neural
  Networks

Largest Eigenvalues of the Conjugate Kernel of Single-Layered Neural Networks

13 January 2022
L. Benigni
Sandrine Péché
ArXivPDFHTML

Papers citing "Largest Eigenvalues of the Conjugate Kernel of Single-Layered Neural Networks"

5 / 5 papers shown
Title
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks
Behrad Moniri
Donghwan Lee
Hamed Hassani
Edgar Dobriban
MLT
37
19
0
11 Oct 2023
High-dimensional Asymptotics of Feature Learning: How One Gradient Step
  Improves the Representation
High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation
Jimmy Ba
Murat A. Erdogdu
Taiji Suzuki
Zhichao Wang
Denny Wu
Greg Yang
MLT
31
121
0
03 May 2022
Random matrices in service of ML footprint: ternary random features with
  no performance loss
Random matrices in service of ML footprint: ternary random features with no performance loss
Hafiz Tiomoko Ali
Zhenyu Liao
Romain Couillet
36
7
0
05 Oct 2021
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,743
0
26 Sep 2016
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
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