Post-processing for Individual Fairness

26 October 2021

Papers citing "Post-processing for Individual Fairness"

22 / 22 papers shown

Title
FairSHAP: Preprocessing for Fairness Through Attribution-Based Data Augmentation Lin Zhu Yijun Bian Lei You TDI 31 0 0 16 May 2025
Towards Fair In-Context Learning with Tabular Foundation Models Patrik Kenfack Samira Ebrahimi Kahou Ulrich Aïvodji 29 0 0 14 May 2025
FAIR-SIGHT: Fairness Assurance in Image Recognition via Simultaneous Conformal Thresholding and Dynamic Output Repair Arya Fayyazi M. Kamal Massoud Pedram 31 0 0 10 Apr 2025
Counterfactual Fairness by Combining Factual and Counterfactual Predictions Zeyu Zhou Tianci Liu Ruqi Bai Jing Gao Murat Kocaoglu David I. Inouye 51 2 0 03 Sep 2024
Multi-Output Distributional Fairness via Post-Processing Gang Li Qihang Lin Ayush Ghosh Tianbao Yang 53 0 0 31 Aug 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey M. D. Belgoumri Mohamed Reda Bouadjenek Sunil Aryal Hakim Hacid 53 1 0 01 Jun 2024
The Pursuit of Fairness in Artificial Intelligence Models: A Survey Tahsin Alamgir Kheya Mohamed Reda Bouadjenek Sunil Aryal 36 8 0 26 Mar 2024
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint Paiheng Xu Yuhang Zhou Bang An Wei Ai Furong Huang 32 6 0 25 May 2023
Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness Zahra Ashktorab Benjamin Hoover Mayank Agarwal Casey Dugan Werner Geyer Han Yang Mikhail Yurochkin FaML 43 17 0 01 Mar 2023
Simple Disentanglement of Style and Content in Visual Representations Lilian Ngweta Subha Maity Alex Gittens Yuekai Sun Mikhail Yurochkin CoGe DRL 34 7 0 20 Feb 2023
SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification Tianci Liu Haoyu Wang Yaqing Wang Xiaoqian Wang Lu Su Jing Gao 38 6 0 19 Feb 2023
FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data Minghong Fang Jia-Wei Liu Michinari Momma Yi Sun 38 4 0 13 Dec 2022
Learning Antidote Data to Individual Unfairness Peizhao Li Ethan Xia Hongfu Liu FedML FaML 24 9 0 29 Nov 2022
Fairness Reprogramming Guanhua Zhang Yihua Zhang Yang Zhang Wenqi Fan Qing Li Sijia Liu Shiyu Chang AAML 83 38 0 21 Sep 2022
iFlipper: Label Flipping for Individual Fairness Hantian Zhang Ki Hyun Tae Jaeyoung Park Xu Chu Steven Euijong Whang 33 7 0 15 Sep 2022
Fairness in Forecasting of Observations of Linear Dynamical Systems Quan Zhou Jakub Mareˇcek Robert Shorten AI4TS 45 5 0 12 Sep 2022
Closed-Loop View of the Regulation of AI: Equal Impact across Repeated Interactions Quan-Gen Zhou Ramen Ghosh Robert Shorten Jakub Mareˇcek 35 1 0 03 Sep 2022
FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning Siyi Du Ben Hers Nourhan Bayasi Ghassan Hamarneh Rafeef Garbi 27 21 0 22 Aug 2022
Understanding Instance-Level Impact of Fairness Constraints Jialu Wang Junfeng Fang Yang Liu TDI FaML 28 33 0 30 Jun 2022
FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks Kiarash Mohammadi Aishwarya Sivaraman G. Farnadi 25 5 0 01 Jun 2022
Accurate Fairness: Improving Individual Fairness without Trading Accuracy Xuran Li Peng Wu Jing Su FaML 33 17 0 18 May 2022
Fair Wrapping for Black-box Predictions Alexander Soen Ibrahim M. Alabdulmohsin Sanmi Koyejo Yishay Mansour Nyalleng Moorosi Richard Nock Ke Sun Lexing Xie FaML 51 6 0 31 Jan 2022