Learning Adversarially Fair and Transferable Representations

17 February 2018

Papers citing "Learning Adversarially Fair and Transferable Representations"

8 / 108 papers shown

Title
Towards Fair Deep Clustering With Multi-State Protected Variables Bokun Wang Ian Davidson FaML FedML 18 22 0 29 Jan 2019
A review of domain adaptation without target labels Wouter M. Kouw Marco Loog OOD VLM 11 477 0 16 Jan 2019
Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements Alex Beutel Jilin Chen Tulsee Doshi Hai Qian Allison Woodruff Christine Luu Pierre Kreitmann Jonathan Bischof Ed H. Chi FaML 26 150 0 14 Jan 2019
Deconfounding age effects with fair representation learning when assessing dementia Zining Zhu Jekaterina Novikova Frank Rudzicz 14 3 0 19 Jul 2018
Fairness Under Composition Cynthia Dwork Christina Ilvento FaML 15 124 0 15 Jun 2018
FairGAN: Fairness-aware Generative Adversarial Networks Depeng Xu Shuhan Yuan Lu Zhang Xintao Wu GAN 6 305 0 28 May 2018
Fairness GAN P. Sattigeri Samuel C. Hoffman Vijil Chenthamarakshan Kush R. Varshney 12 92 0 24 May 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 201 2,082 0 24 Oct 2016