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Censoring Representations with an Adversary

Censoring Representations with an Adversary

18 November 2015
Harrison Edwards
Amos Storkey
    AAML
    FaML
ArXivPDFHTML

Papers citing "Censoring Representations with an Adversary"

14 / 14 papers shown
Title
Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics
Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics
Insung Kong
Kunwoong Kim
Yongdai Kim
FaML
167
1
0
09 May 2025
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing
Jitao Wang
C. Shi
John D. Piette
Joshua R. Loftus
Donglin Zeng
Zhenke Wu
OffRL
167
0
0
10 Jan 2025
Rethinking Fair Representation Learning for Performance-Sensitive Tasks
Rethinking Fair Representation Learning for Performance-Sensitive Tasks
Charles Jones
Fabio De Sousa Ribeiro
Mélanie Roschewitz
Daniel Coelho De Castro
Ben Glocker
FaML
OOD
CML
238
2
0
05 Oct 2024
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization
Cheng Yang
Jixi Liu
Yunhe Yan
Chuan Shi
76
11
0
19 Mar 2024
AI-based association analysis for medical imaging using latent-space geometric confounder correction
AI-based association analysis for medical imaging using latent-space geometric confounder correction
Xianjing Liu
Yue Liu
Meike W. Vernooij
E. Wolvius
Gennady V. Roshchupkin
Esther E. Bron
MedIm
95
0
0
03 Oct 2023
LEACE: Perfect linear concept erasure in closed form
LEACE: Perfect linear concept erasure in closed form
Nora Belrose
David Schneider-Joseph
Shauli Ravfogel
Ryan Cotterell
Edward Raff
Stella Biderman
KELM
MU
81
118
0
06 Jun 2023
NIPS 2016 Tutorial: Generative Adversarial Networks
NIPS 2016 Tutorial: Generative Adversarial Networks
Ian Goodfellow
GAN
165
1,723
0
31 Dec 2016
Deep Generative Image Models using a Laplacian Pyramid of Adversarial
  Networks
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
Emily L. Denton
Soumith Chintala
Arthur Szlam
Rob Fergus
GAN
96
2,242
0
18 Jun 2015
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
375
9,497
0
28 May 2015
Generative Class-conditional Autoencoders
Generative Class-conditional Autoencoders
Jan Rudy
Graham W. Taylor
DRL
72
7
0
22 Dec 2014
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
On distinguishability criteria for estimating generative models
On distinguishability criteria for estimating generative models
Ian Goodfellow
GAN
66
139
0
19 Dec 2014
ScreenAvoider: Protecting Computer Screens from Ubiquitous Cameras
ScreenAvoider: Protecting Computer Screens from Ubiquitous Cameras
M. Korayem
R. Templeman
Dennis Chen
David J. Crandall
Apu Kapadia
PICV
50
22
0
28 Nov 2014
Theano: new features and speed improvements
Theano: new features and speed improvements
Frédéric Bastien
Pascal Lamblin
Razvan Pascanu
James Bergstra
Ian Goodfellow
Arnaud Bergeron
Nicolas Bouchard
David Warde-Farley
Yoshua Bengio
91
1,419
0
23 Nov 2012
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