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Generalizing Orthogonalization for Models with Non-Linearities

Generalizing Orthogonalization for Models with Non-Linearities

3 May 2024
David Rügamer
Chris Kolb
Tobias Weber
Lucas Kook
Thomas Nagler
ArXivPDFHTML

Papers citing "Generalizing Orthogonalization for Models with Non-Linearities"

5 / 5 papers shown
Title
fairml: A Statistician's Take on Fair Machine Learning Modelling
fairml: A Statistician's Take on Fair Machine Learning Modelling
M. Scutari
FaML
32
5
0
03 May 2023
Scalable Infomin Learning
Scalable Infomin Learning
Yanzhi Chen
Wei-Der Sun
Yingzhen Li
Adrian Weller
77
8
0
21 Feb 2023
Controlling Directions Orthogonal to a Classifier
Controlling Directions Orthogonal to a Classifier
Yilun Xu
Hao He
T. Shen
Tommi Jaakkola
61
19
0
27 Jan 2022
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
323
4,203
0
23 Aug 2019
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
177
9,327
0
28 May 2015
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