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Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making

10 May 2022

Papers citing "Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making"

37 / 37 papers shown

Title
Fair Contrastive Learning for Facial Attribute Classification Sungho Park Jewook Lee Pilhyeon Lee Sunhee Hwang D. Kim H. Byun FaML 58 89 0 30 Mar 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 298 30,150 0 01 Mar 2022
VACA: Design of Variational Graph Autoencoders for Interventional and Counterfactual Queries Pablo Sánchez-Martín Miriam Rateike Isabel Valera CML BDL 69 14 0 27 Oct 2021
Fair Sequential Selection Using Supervised Learning Models Mohammad Mahdi Khalili Xueru Zhang Mahed Abroshan FaML 60 20 0 26 Oct 2021
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning Zhaowei Zhu Tianyi Luo Yang Liu 190 40 0 12 Oct 2021
SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption Dara Bahri Heinrich Jiang Yi Tay Donald Metzler SSL 70 175 0 29 Jun 2021
Fair Normalizing Flows Mislav Balunović Anian Ruoss Martin Vechev AAML 49 38 0 10 Jun 2021
Emergent Unfairness in Algorithmic Fairness-Accuracy Trade-Off Research A. Feder Cooper Ellen Abrams FaML 89 60 0 01 Feb 2021
Causal Autoregressive Flows Ilyes Khemakhem R. Monti R. Leech Aapo Hyvarinen CML OOD AI4CE 83 110 0 04 Nov 2020
Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination Tao Zhang Tianqing Zhu Jing Li Mengde Han Wanlei Zhou Philip S. Yu FaML 79 51 0 25 Sep 2020
Adversarial Learning for Counterfactual Fairness Vincent Grari Sylvain Lamprier Marcin Detyniecki FaML 47 23 0 30 Aug 2020
What's Sex Got To Do With Fair Machine Learning? Lily Hu Issa Kohler-Hausmann FaML 52 81 0 02 Jun 2020
Individual Fairness in Pipelines Cynthia Dwork Christina Ilvento Meena Jagadeesan FaML 53 40 0 12 Apr 2020
Learning Certified Individually Fair Representations Anian Ruoss Mislav Balunović Marc Fischer Martin Vechev FaML 40 96 0 24 Feb 2020
Understanding racial bias in health using the Medical Expenditure Panel Survey data Moninder Singh Karthikeyan N. Ramamurthy 46 7 0 04 Nov 2019
Flexibly Fair Representation Learning by Disentanglement Elliot Creager David Madras J. Jacobsen Marissa A. Weis Kevin Swersky T. Pitassi R. Zemel FaML OOD 190 334 0 06 Jun 2019
Equal Opportunity in Online Classification with Partial Feedback Yahav Bechavod Katrina Ligett Aaron Roth Bo Waggoner Zhiwei Steven Wu FaML 58 60 0 06 Feb 2019
Learning Controllable Fair Representations Jiaming Song Pratyusha Kalluri Aditya Grover Shengjia Zhao Stefano Ermon FaML 68 180 0 11 Dec 2018
Individual Fairness in Hindsight Swati Gupta Vijay Kamble FaML 60 63 0 10 Dec 2018
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias Rachel K. E. Bellamy Kuntal Dey Michael Hind Samuel C. Hoffman Stephanie Houde ... Diptikalyan Saha P. Sattigeri Moninder Singh Kush R. Varshney Yunfeng Zhang FaML SyDa 101 810 0 03 Oct 2018
FairGAN: Fairness-aware Generative Adversarial Networks Depeng Xu Shuhan Yuan Lu Zhang Xintao Wu GAN 114 315 0 28 May 2018
Invariant Representations without Adversarial Training Daniel Moyer Shuyang Gao Rob Brekelmans Greg Ver Steeg Aram Galstyan OOD 64 213 0 24 May 2018
Two-Player Games for Efficient Non-Convex Constrained Optimization Andrew Cotter Heinrich Jiang Karthik Sridharan 73 118 0 17 Apr 2018
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 227 1,103 0 06 Mar 2018
An Algorithmic Framework to Control Bias in Bandit-based Personalization L. E. Celis Sayash Kapoor Farnood Salehi Nisheeth K. Vishnoi 50 20 0 23 Feb 2018
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 382 684 0 17 Feb 2018
Selection Problems in the Presence of Implicit Bias Jon M. Kleinberg Manish Raghavan 55 93 0 04 Jan 2018
Fixing a Broken ELBO Alexander A. Alemi Ben Poole Ian S. Fischer Joshua V. Dillon Rif A. Saurous Kevin Patrick Murphy DRL BDL 73 80 0 01 Nov 2017
Counterfactual Fairness Matt J. Kusner Joshua R. Loftus Chris Russell Ricardo M. A. Silva FaML 224 1,586 0 20 Mar 2017
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi FaML 205 1,213 0 26 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 233 4,330 0 07 Oct 2016
The Variational Fair Autoencoder Christos Louizos Kevin Swersky Yujia Li Max Welling R. Zemel DRL 223 636 0 03 Nov 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 320 4,196 0 21 May 2015
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 234 8,348 0 06 Nov 2014
Semi-Supervised Learning with Deep Generative Models Diederik P. Kingma Danilo Jimenez Rezende S. Mohamed Max Welling GAN SSL BDL 98 2,742 0 20 Jun 2014
CNN Features off-the-shelf: an Astounding Baseline for Recognition A. Razavian Hossein Azizpour Josephine Sullivan S. Carlsson 159 4,945 0 23 Mar 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 455 16,923 0 20 Dec 2013