Fair Classification via Domain Adaptation: A Dual Adversarial Learning Approach

8 June 2022

Papers citing "Fair Classification via Domain Adaptation: A Dual Adversarial Learning Approach"

8 / 8 papers shown

Title
Dancing in the Shadows: Harnessing Ambiguity for Fairer Classifiers Ainhize Barrainkua Paula Gordaliza Jose A. Lozano Novi Quadrianto 42 0 0 27 Jun 2024
Fairness Risks for Group-conditionally Missing Demographics Kaiqi Jiang Wenzhe Fan Mao Li Xinhua Zhang 105 0 0 20 Feb 2024
Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally Shawqi Al-Maliki Adnan Qayyum Hassan Ali M. Abdallah Junaid Qadir D. Hoang Dusit Niyato Ala I. Al-Fuqaha AAML 39 3 0 05 Oct 2023
Fairness Under Demographic Scarce Regime Patrik Kenfack Samira Ebrahimi Kahou Ulrich Aïvodji 43 3 0 24 Jul 2023
Transferring Fairness using Multi-Task Learning with Limited Demographic Information Carlos Alejandro Aguirre Mark Dredze 35 0 0 22 May 2023
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 256 492 0 31 Dec 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 370 4,237 0 23 Aug 2019
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 236 676 0 17 Feb 2018