Towards Equal Opportunity Fairness through Adversarial Learning

12 March 2022

Papers citing "Towards Equal Opportunity Fairness through Adversarial Learning"

8 / 8 papers shown

Title
A Brief History of Prompt: Leveraging Language Models. (Through Advanced Prompting) G. Muktadir SILM 34 8 0 30 Sep 2023
Bias and Fairness in Large Language Models: A Survey Isabel O. Gallegos Ryan A. Rossi Joe Barrow Md Mehrab Tanjim Sungchul Kim Franck Dernoncourt Tong Yu Ruiyi Zhang Nesreen Ahmed AILaw 21 486 0 02 Sep 2023
Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP Xudong Han Timothy Baldwin Trevor Cohn 34 12 0 11 Feb 2023
Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness C. Hazirbas Yejin Bang Tiezheng Yu Parisa Assar Bilal Porgali ... Jacqueline Pan Emily McReynolds Miranda Bogen Pascale Fung Cristian Canton Ferrer 27 8 0 10 Nov 2022
Systematic Evaluation of Predictive Fairness Xudong Han Aili Shen Trevor Cohn Timothy Baldwin Lea Frermann 26 7 0 17 Oct 2022
fairlib: A Unified Framework for Assessing and Improving Classification Fairness Xudong Han Aili Shen Yitong Li Lea Frermann Timothy Baldwin Trevor Cohn VLM FaML 23 12 0 04 May 2022
Evaluating Debiasing Techniques for Intersectional Biases Shivashankar Subramanian Xudong Han Timothy Baldwin Trevor Cohn Lea Frermann 95 49 0 21 Sep 2021
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,084 0 24 Oct 2016