Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair
using AutoML

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Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair using AutoML

15 June 2023

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Papers citing "Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair using AutoML"

8 / 8 papers shown

Title
VirnyFlow: A Design Space for Responsible Model Development Denys Herasymuk Nazar Protsiv Julia Stoyanovich 49 0 0 02 Jun 2025
FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Yining She Sumon Biswas Christian Kastner Eunsuk Kang 124 0 0 03 Jan 2025
Diversity Drives Fairness: Ensemble of Higher Order Mutants for Intersectional Fairness of Machine Learning Software Zhenpeng Chen Xinyue Li Jing Zhang Federica Sarro Yang Liu FaML 126 3 0 11 Dec 2024
Inferring Data Preconditions from Deep Learning Models for Trustworthy Prediction in Deployment Shibbir Ahmed Hongyang Gao Hridesh Rajan 81 2 0 26 Jan 2024
A Large-Scale Empirical Study on Improving the Fairness of Image Classification Models Junjie Yang Jiajun Jiang Zeyu Sun Junjie Chen 63 3 0 08 Jan 2024
Bias Testing and Mitigation in LLM-based Code Generation Dong Huang Qingwen Bu Jie M. Zhang Xiaofei Xie Junjie Chen Heming Cui 125 27 0 03 Sep 2023
Bias Behind the Wheel: Fairness Analysis of Autonomous Driving Systems Xinyue Li Zhenpeng Chen Jie M. Zhang Federica Sarro Yanzhe Zhang Xuanzhe Liu 109 5 0 05 Aug 2023
Fair and Green Hyperparameter Optimization via Multi-objective and Multiple Information Source Bayesian Optimization Antonio Candelieri Andrea Ponti Francesco Archetti 63 18 0 18 May 2022