fairlib: A Unified Framework for Assessing and Improving Classification
Fairness

fairlib: A Unified Framework for Assessing and Improving Classification Fairness

4 May 2022

Timothy Baldwin

Papers citing "fairlib: A Unified Framework for Assessing and Improving Classification Fairness"

11 / 11 papers shown

Title
On Fairness and Stability: Is Estimator Variance a Friend or a Foe? Falaah Arif Khan Denys Herasymuk Julia Stoyanovich 41 2 0 09 Feb 2023
Erasure of Unaligned Attributes from Neural Representations Shun Shao Yftah Ziser Shay B. Cohen 14 9 0 06 Feb 2023
Systematic Evaluation of Predictive Fairness Xudong Han Aili Shen Trevor Cohn Timothy Baldwin Lea Frermann 32 7 0 17 Oct 2022
MEDFAIR: Benchmarking Fairness for Medical Imaging Yongshuo Zong Yongxin Yang Timothy M. Hospedales OOD 81 59 0 04 Oct 2022
Optimising Equal Opportunity Fairness in Model Training Aili Shen Xudong Han Trevor Cohn Timothy Baldwin Lea Frermann FaML 32 28 0 05 May 2022
Gold Doesn't Always Glitter: Spectral Removal of Linear and Nonlinear Guarded Attribute Information Shun Shao Yftah Ziser Shay B. Cohen AAML 14 25 0 15 Mar 2022
Towards Equal Opportunity Fairness through Adversarial Learning Xudong Han Timothy Baldwin Trevor Cohn FaML 25 8 0 12 Mar 2022
Towards Identifying Social Bias in Dialog Systems: Frame, Datasets, and Benchmarks Jingyan Zhou Deng Jiawen Fei Mi Yitong Li Yasheng Wang Minlie Huang Xin Jiang Qun Liu Helen Meng 33 31 0 16 Feb 2022
Contrastive Learning for Fair Representations Aili Shen Xudong Han Trevor Cohn Timothy Baldwin Lea Frermann FaML 42 32 0 22 Sep 2021
Balancing out Bias: Achieving Fairness Through Balanced Training Xudong Han Timothy Baldwin Trevor Cohn 26 39 0 16 Sep 2021
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,091 0 24 Oct 2016