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Dynamical Isometry is Achieved in Residual Networks in a Universal Way
  for any Activation Function

Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function

24 September 2018
W. Tarnowski
P. Warchol
Stanislaw Jastrzebski
Jacek Tabor
M. Nowak
ArXivPDFHTML

Papers citing "Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function"

14 / 14 papers shown
Title
Dynamical Isometry for Residual Networks
Dynamical Isometry for Residual Networks
Advait Gadhikar
R. Burkholz
ODL
AI4CE
45
2
0
05 Oct 2022
Entangled Residual Mappings
Entangled Residual Mappings
Mathias Lechner
Ramin Hasani
Z. Babaiee
Radu Grosu
Daniela Rus
T. Henzinger
Sepp Hochreiter
19
5
0
02 Jun 2022
Neural Born Iteration Method For Solving Inverse Scattering Problems: 2D
  Cases
Neural Born Iteration Method For Solving Inverse Scattering Problems: 2D Cases
Tao Shan
Zhichao Lin
Xiaoqian Song
Maokun Li
Fan Yang
Zhensheng Xu
48
18
0
18 Dec 2021
A Johnson--Lindenstrauss Framework for Randomly Initialized CNNs
A Johnson--Lindenstrauss Framework for Randomly Initialized CNNs
Ido Nachum
Jan Hkazla
Michael C. Gastpar
Anatoly Khina
36
0
0
03 Nov 2021
On Random Matrices Arising in Deep Neural Networks: General I.I.D. Case
On Random Matrices Arising in Deep Neural Networks: General I.I.D. Case
L. Pastur
V. Slavin
CML
24
12
0
20 Nov 2020
Tensor Programs III: Neural Matrix Laws
Tensor Programs III: Neural Matrix Laws
Greg Yang
19
45
0
22 Sep 2020
Deep Isometric Learning for Visual Recognition
Deep Isometric Learning for Visual Recognition
Haozhi Qi
Chong You
Xinyu Wang
Yi Ma
Jitendra Malik
VLM
35
54
0
30 Jun 2020
The Spectrum of Fisher Information of Deep Networks Achieving Dynamical
  Isometry
The Spectrum of Fisher Information of Deep Networks Achieving Dynamical Isometry
Tomohiro Hayase
Ryo Karakida
29
7
0
14 Jun 2020
A Comprehensive and Modularized Statistical Framework for Gradient Norm
  Equality in Deep Neural Networks
A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks
Zhaodong Chen
Lei Deng
Bangyan Wang
Guoqi Li
Yuan Xie
40
28
0
01 Jan 2020
Optimization for deep learning: theory and algorithms
Optimization for deep learning: theory and algorithms
Ruoyu Sun
ODL
30
168
0
19 Dec 2019
A Signal Propagation Perspective for Pruning Neural Networks at
  Initialization
A Signal Propagation Perspective for Pruning Neural Networks at Initialization
Namhoon Lee
Thalaiyasingam Ajanthan
Stephen Gould
Philip Torr
AAML
38
152
0
14 Jun 2019
Residual Networks as Nonlinear Systems: Stability Analysis using
  Linearization
Residual Networks as Nonlinear Systems: Stability Analysis using Linearization
Kai Rothauge
Z. Yao
Zixi Hu
Michael W. Mahoney
15
2
0
31 May 2019
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train
  10,000-Layer Vanilla Convolutional Neural Networks
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks
Lechao Xiao
Yasaman Bahri
Jascha Narain Sohl-Dickstein
S. Schoenholz
Jeffrey Pennington
244
350
0
14 Jun 2018
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
186
1,186
0
30 Nov 2014
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