Generative Adversarial Networks for Mitigating Biases in Machine
Learning Systems

Generative Adversarial Networks for Mitigating Biases in Machine Learning Systems

23 May 2019

Omar Abdel Wahab

Papers citing "Generative Adversarial Networks for Mitigating Biases in Machine Learning Systems"

19 / 19 papers shown

Title
Improved Adversarial Learning for Fair Classification L. E. Celis Vijay Keswani FaML 42 44 0 29 Jan 2019
Generating Multi-Categorical Samples with Generative Adversarial Networks R. Camino Christian A. Hammerschmidt R. State SyDa GAN 8 71 0 03 Jul 2018
FairGAN: Fairness-aware Generative Adversarial Networks Depeng Xu Shuhan Yuan Lu Zhang Xintao Wu GAN 81 311 0 28 May 2018
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 86 1,094 0 06 Mar 2018
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 290 678 0 17 Feb 2018
Training Generative Adversarial Networks via Primal-Dual Subgradient Methods: A Lagrangian Perspective on GAN Xu Chen Jiang Wang Hao Ge GAN 44 14 0 06 Feb 2018
Mitigating Unwanted Biases with Adversarial Learning B. Zhang Blake Lemoine Margaret Mitchell FaML 73 1,373 0 22 Jan 2018
On Fairness and Calibration Geoff Pleiss Manish Raghavan Felix Wu Jon M. Kleinberg Kilian Q. Weinberger FaML 87 874 0 06 Sep 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 82 9,509 0 31 Mar 2017
NIPS 2016 Tutorial: Generative Adversarial Networks Ian Goodfellow GAN 70 1,721 0 31 Dec 2016
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 189 5,323 0 03 Nov 2016
Learning to Pivot with Adversarial Networks Gilles Louppe Michael Kagan Kyle Cranmer 36 227 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 78 2,518 0 02 Nov 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 74 4,276 0 07 Oct 2016
Satisfying Real-world Goals with Dataset Constraints Gabriel Goh Andrew Cotter Maya R. Gupta M. Friedlander OffRL 34 215 0 24 Jun 2016
Tutorial on Variational Autoencoders Carl Doersch BDL DRL 68 1,736 0 19 Jun 2016
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 79 1,978 0 11 Dec 2014
Conditional Generative Adversarial Nets M. Berk Mirza Simon Osindero GAN SyDa AI4CE 187 10,365 0 06 Nov 2014
Semi-Supervised Learning with Deep Generative Models Diederik P. Kingma Danilo Jimenez Rezende S. Mohamed Max Welling GAN SSL BDL 45 2,731 0 20 Jun 2014