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Information Geometry of Orthogonal Initializations and Training

Information Geometry of Orthogonal Initializations and Training

9 October 2018
Piotr A. Sokól
Il-Su Park
    AI4CE
ArXivPDFHTML

Papers citing "Information Geometry of Orthogonal Initializations and Training"

3 / 3 papers shown
Title
Asymptotic Freeness of Layerwise Jacobians Caused by Invariance of
  Multilayer Perceptron: The Haar Orthogonal Case
Asymptotic Freeness of Layerwise Jacobians Caused by Invariance of Multilayer Perceptron: The Haar Orthogonal Case
B. Collins
Tomohiro Hayase
22
7
0
24 Mar 2021
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
220
348
0
14 Jun 2018
Optimization on Submanifolds of Convolution Kernels in CNNs
Optimization on Submanifolds of Convolution Kernels in CNNs
Mete Ozay
Takayuki Okatani
43
46
0
22 Oct 2016
1