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Scaling-up Diverse Orthogonal Convolutional Networks with a Paraunitary
  Framework

Scaling-up Diverse Orthogonal Convolutional Networks with a Paraunitary Framework

16 June 2021
Jiahao Su
Wonmin Byeon
Furong Huang
ArXivPDFHTML

Papers citing "Scaling-up Diverse Orthogonal Convolutional Networks with a Paraunitary Framework"

4 / 4 papers shown
Title
Parseval Convolution Operators and Neural Networks
Parseval Convolution Operators and Neural Networks
Michael Unser
Stanislas Ducotterd
23
3
0
19 Aug 2024
Group Orthogonalization Regularization For Vision Models Adaptation and
  Robustness
Group Orthogonalization Regularization For Vision Models Adaptation and Robustness
Yoav Kurtz
Noga Bar
Raja Giryes
24
0
0
16 Jun 2023
Improved techniques for deterministic l2 robustness
Improved techniques for deterministic l2 robustness
Sahil Singla
S. Feizi
AAML
23
9
0
15 Nov 2022
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
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