Fair Representations by Compression

28 May 2021

Papers citing "Fair Representations by Compression"

34 / 34 papers shown

Title
Differential Adjusted Parity for Learning Fair Representations Bucher Sahyouni Matthew Vowels Liqun Chen Simon Hadfield FaML 144 0 0 13 Feb 2025
Learning Smooth and Fair Representations Xavier Gitiaux Huzefa Rangwala FaML 56 15 0 15 Jun 2020
Discovery and Separation of Features for Invariant Representation Learning Ayush Jaiswal Rob Brekelmans Daniel Moyer Greg Ver Steeg Wael AbdAlmageed Premkumar Natarajan CML OOD 25 11 0 02 Dec 2019
Invariant Representations through Adversarial Forgetting Ayush Jaiswal Daniel Moyer Greg Ver Steeg Wael AbdAlmageed Premkumar Natarajan OOD 46 38 0 11 Nov 2019
A Closer Look at the Optimization Landscapes of Generative Adversarial Networks Hugo Berard Gauthier Gidel Amjad Almahairi Pascal Vincent Simon Lacoste-Julien GAN 42 64 0 11 Jun 2019
Flexibly Fair Representation Learning by Disentanglement Elliot Creager David Madras J. Jacobsen Marissa A. Weis Kevin Swersky T. Pitassi R. Zemel FaML OOD 186 333 0 06 Jun 2019
On the Fairness of Disentangled Representations Francesco Locatello G. Abbati Tom Rainforth Stefan Bauer Bernhard Schölkopf Olivier Bachem FaML DRL 73 227 0 31 May 2019
Multi-Differential Fairness Auditor for Black Box Classifiers Xavier Gitiaux Huzefa Rangwala FaML 47 7 0 18 Mar 2019
Learning Controllable Fair Representations Jiaming Song Pratyusha Kalluri Aditya Grover Shengjia Zhao Stefano Ermon FaML 59 179 0 11 Dec 2018
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 118 1,467 0 29 Nov 2018
The Frontiers of Fairness in Machine Learning Alexandra Chouldechova Aaron Roth FaML 187 416 0 20 Oct 2018
Unsupervised Adversarial Invariance Ayush Jaiswal Yue Wu Wael AbdAlmageed Premkumar Natarajan OOD CML 80 48 0 26 Sep 2018
Creating Fair Models of Atherosclerotic Cardiovascular Disease Risk Stephen Pfohl Ben J. Marafino Adrien Coulet F. Rodriguez L. Palaniappan N. Shah 50 67 0 12 Sep 2018
Bounded Information Rate Variational Autoencoders D. Braithwaite W. Kleijn DRL 31 10 0 19 Jul 2018
FairGAN: Fairness-aware Generative Adversarial Networks Depeng Xu Shuhan Yuan Lu Zhang Xintao Wu GAN 105 314 0 28 May 2018
Invariant Representations without Adversarial Training Daniel Moyer Shuyang Gao Rob Brekelmans Greg Ver Steeg Aram Galstyan OOD 62 210 0 24 May 2018
Fairness Through Computationally-Bounded Awareness Michael P. Kim Omer Reingold G. Rothblum FaML 87 145 0 08 Mar 2018
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 224 1,101 0 06 Mar 2018
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 379 684 0 17 Feb 2018
Mitigating Unwanted Biases with Adversarial Learning B. Zhang Blake Lemoine Margaret Mitchell FaML 197 1,389 0 22 Jan 2018
Conditional Probability Models for Deep Image Compression Fabian Mentzer E. Agustsson Michael Tschannen Radu Timofte Luc Van Gool 76 487 0 12 Jan 2018
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness Michael Kearns Seth Neel Aaron Roth Zhiwei Steven Wu FaML 197 778 0 14 Nov 2017
Provably Fair Representations D. McNamara Cheng Soon Ong Robert C. Williamson FaML 45 55 0 12 Oct 2017
Emergence of Invariance and Disentanglement in Deep Representations Alessandro Achille Stefano Soatto OOD DRL 91 476 0 05 Jun 2017
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations E. Agustsson Fabian Mentzer Michael Tschannen Lukas Cavigelli Radu Timofte Luca Benini Luc Van Gool MQ 69 482 0 03 Apr 2017
Lossy Image Compression with Compressive Autoencoders Lucas Theis Wenzhe Shi Andrew Cunningham Ferenc Huszár 64 1,055 0 01 Mar 2017
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 155 402 0 20 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 228 4,312 0 07 Oct 2016
Conditional Image Generation with PixelCNN Decoders Aaron van den Oord Nal Kalchbrenner Oriol Vinyals L. Espeholt Alex Graves Koray Kavukcuoglu VLM 209 2,513 0 16 Jun 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 479 2,570 0 25 Jan 2016
Censoring Representations with an Adversary Harrison Edwards Amos Storkey AAML FaML 66 505 0 18 Nov 2015
The Variational Fair Autoencoder Christos Louizos Kevin Swersky Yujia Li Max Welling R. Zemel DRL 223 633 0 03 Nov 2015
Learning unbiased features Yujia Li Kevin Swersky R. Zemel OOD SSL FaML 67 70 0 17 Dec 2014
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 201 1,992 0 11 Dec 2014