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Gradient Reversal Against Discrimination

Gradient Reversal Against Discrimination

1 July 2018
Edward Raff
Jared Sylvester
ArXivPDFHTML

Papers citing "Gradient Reversal Against Discrimination"

15 / 15 papers shown
Title
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding
Mang Ning
A. A. Salah
Itir Onal Ertugrul
CVBM
114
4
0
15 Jul 2024
What About Applied Fairness?
What About Applied Fairness?
Jared Sylvester
Edward Raff
FaML
109
10
0
13 Jun 2018
Fair Forests: Regularized Tree Induction to Minimize Model Bias
Fair Forests: Regularized Tree Induction to Minimize Model Bias
Edward Raff
Jared Sylvester
S. Mills
FaML
49
69
0
21 Dec 2017
Decoupled classifiers for fair and efficient machine learning
Decoupled classifiers for fair and efficient machine learning
Cynthia Dwork
Nicole Immorlica
Adam Tauman Kalai
Max D. M. Leiserson
FaML
67
43
0
20 Jul 2017
Penalizing Unfairness in Binary Classification
Penalizing Unfairness in Binary Classification
Yahav Bechavod
Katrina Ligett
FaML
56
69
0
30 Jun 2017
A Convex Framework for Fair Regression
A Convex Framework for Fair Regression
R. Berk
Hoda Heidari
S. Jabbari
Matthew Joseph
Michael Kearns
Jamie Morgenstern
Seth Neel
Aaron Roth
FaML
107
341
0
07 Jun 2017
The Numerics of GANs
The Numerics of GANs
L. Mescheder
Sebastian Nowozin
Andreas Geiger
GAN
87
456
0
30 May 2017
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
300
2,110
0
24 Oct 2016
Equality of Opportunity in Supervised Learning
Equality of Opportunity in Supervised Learning
Moritz Hardt
Eric Price
Nathan Srebro
FaML
222
4,307
0
07 Oct 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores
Inherent Trade-Offs in the Fair Determination of Risk Scores
Jon M. Kleinberg
S. Mullainathan
Manish Raghavan
FaML
117
1,769
0
19 Sep 2016
Censoring Representations with an Adversary
Censoring Representations with an Adversary
Harrison Edwards
Amos Storkey
AAML
FaML
62
505
0
18 Nov 2015
The Variational Fair Autoencoder
The Variational Fair Autoencoder
Christos Louizos
Kevin Swersky
Yujia Li
Max Welling
R. Zemel
DRL
223
633
0
03 Nov 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
372
9,486
0
28 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,289
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 2014
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