Intra-Processing Methods for Debiasing Neural Networks

15 June 2020

Papers citing "Intra-Processing Methods for Debiasing Neural Networks"

12 / 12 papers shown

Title
Investigating the Relationship Between Debiasing and Artifact Removal using Saliency Maps Lukasz Sztukiewicz Ignacy Stepka Michał Wiliński Jerzy Stefanowski 116 0 0 28 Feb 2025
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 282 494 0 31 Dec 2020
Towards Debiasing Sentence Representations Paul Pu Liang Irene Li Emily Zheng Y. Lim Ruslan Salakhutdinov Louis-Philippe Morency 70 238 0 16 Jul 2020
Image Counterfactual Sensitivity Analysis for Detecting Unintended Bias Emily L. Denton B. Hutchinson Margaret Mitchell Timnit Gebru Andrew Zaldivar CVBM 52 130 0 14 Jun 2019
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 96 806 0 03 Oct 2018
A Tutorial on Bayesian Optimization P. Frazier GP 104 1,786 0 08 Jul 2018
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees L. E. Celis Lingxiao Huang Vijay Keswani Nisheeth K. Vishnoi FaML 203 308 0 15 Jun 2018
Empirical Risk Minimization under Fairness Constraints Michele Donini L. Oneto Shai Ben-David John Shawe-Taylor Massimiliano Pontil FaML 76 444 0 23 Feb 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 297 2,109 0 24 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 217 4,305 0 07 Oct 2016
Factors in Finetuning Deep Model for object detection Wanli Ouyang Xiaogang Wang Cong Zhang Xiaokang Yang 48 189 0 20 Jan 2016
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 349 7,934 0 13 Jun 2012