End-To-End Bias Mitigation: Removing Gender Bias in Deep Learning

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End-To-End Bias Mitigation: Removing Gender Bias in Deep Learning

6 April 2021

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Papers citing "End-To-End Bias Mitigation: Removing Gender Bias in Deep Learning"

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Title
Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes James Lucas Juhan Bae Michael Ruogu Zhang Stanislav Fort R. Zemel Roger C. Grosse MoMe 211 28 0 22 Apr 2021
A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set Philippe C. Besse E. del Barrio Paula Gordaliza Jean-Michel Loubes Laurent Risser FaML 38 66 0 31 Mar 2020
On the Apparent Conflict Between Individual and Group Fairness Reuben Binns FaML 71 312 0 14 Dec 2019
FairSight: Visual Analytics for Fairness in Decision Making Yongsu Ahn Y. Lin 54 124 0 01 Aug 2019
Aequitas: A Bias and Fairness Audit Toolkit Pedro Saleiro Benedict Kuester Loren Hinkson J. London Abby Stevens Ari Anisfeld Kit T. Rodolfa Rayid Ghani 112 327 0 14 Nov 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
Assessing Gender Bias in Machine Translation -- A Case Study with Google Translate Marcelo O. R. Prates Pedro H. C. Avelar Luís C. Lamb 61 349 0 06 Sep 2018
Counterfactual Fairness Matt J. Kusner Joshua R. Loftus Chris Russell Ricardo M. A. Silva FaML 224 1,586 0 20 Mar 2017
A causal framework for discovering and removing direct and indirect discrimination Lu Zhang Yongkai Wu Xintao Wu CML 58 174 0 22 Nov 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 233 4,330 0 07 Oct 2016
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 204 1,993 0 11 Dec 2014