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Feedback Gradient Descent: Efficient and Stable Optimization with
  Orthogonality for DNNs

Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs

12 May 2022
Fanchen Bu
D. Chang
ArXivPDFHTML

Papers citing "Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs"

2 / 2 papers shown
Title
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
330
0
14 Jun 2018
Learning Unitary Operators with Help From u(n)
Learning Unitary Operators with Help From u(n)
Stephanie L. Hyland
Gunnar Rätsch
89
41
0
17 Jul 2016
1