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Taking Advantage of Multitask Learning for Fair Classification

19 October 2018

Papers citing "Taking Advantage of Multitask Learning for Fair Classification"

34 / 34 papers shown

Title
OxonFair: A Flexible Toolkit for Algorithmic Fairness Eoin Delaney Zihao Fu Sandra Wachter Brent Mittelstadt Chris Russell FaML 122 3 0 30 Jun 2024
Algorithmic Fairness: A Tolerance Perspective Renqiang Luo Tao Tang Xiwei Xu Jiaying Liu Chengpei Xu Leo Yu Zhang Wei Xiang Chengqi Zhang FaML 99 0 0 26 Apr 2024
Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality Khadija Zanna Akane Sano FaML 81 1 0 12 Apr 2024
Responsible AI (RAI) Games and Ensembles Yash Gupta Runtian Zhai A. Suggala Pradeep Ravikumar 67 0 0 28 Oct 2023
Identifying Reasons for Bias: An Argumentation-Based Approach Madeleine Waller Odinaldo Rodrigues O. Cocarascu FaML 77 2 0 25 Oct 2023
Group-blind optimal transport to group parity and its constrained variants Quan-Gen Zhou Georgios Korpas 65 3 0 17 Oct 2023
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools Maximilian Schambach Rakshit Naidu Rayid Ghani Kit T. Rodolfa Daniel E. Ho Hoda Heidari FaML 87 17 0 29 Sep 2023
Fairness in Multi-Task Learning via Wasserstein Barycenters Franccois Hu Philipp Ratz Arthur Charpentier 143 10 0 16 Jun 2023
Bias Mitigation Methods for Binary Classification Decision-Making Systems: Survey and Recommendations Madeleine Waller Odinaldo Rodrigues O. Cocarascu FaML AI4CE 64 2 0 31 May 2023
Bipol: A Novel Multi-Axes Bias Evaluation Metric with Explainability for NLP Lama Alkhaled Tosin Adewumi Sana Sabah Sabry 86 8 0 08 Apr 2023
Bipol: Multi-axes Evaluation of Bias with Explainability in Benchmark Datasets Tosin Adewumi Isabella Sodergren Lama Alkhaled Sana Sabah Sabry F. Liwicki Marcus Liwicki 69 4 0 28 Jan 2023
Fair Robust Active Learning by Joint Inconsistency Tsung-Han Wu Hung-Ting Su Shang-Tse Chen Winston H. Hsu AAML 87 1 0 22 Sep 2022
Bias Reducing Multitask Learning on Mental Health Prediction Khadija Zanna K. Sridhar Han Yu Akane Sano 48 20 0 07 Aug 2022
Adversarial Reweighting for Speaker Verification Fairness Minho Jin Chelsea J.-T. Ju Zeya Chen Yi-Chieh Liu J. Droppo A. Stolcke 46 5 0 15 Jul 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 107 177 0 14 Jul 2022
Learning to Teach Fairness-aware Deep Multi-task Learning Arjun Roy Eirini Ntoutsi 76 7 0 16 Jun 2022
A Survey on Fairness for Machine Learning on Graphs Charlotte Laclau C. Largeron Manvi Choudhary FaML 80 24 0 11 May 2022
Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks Michael Lohaus Matthäus Kleindessner K. Kenthapadi Francesco Locatello Chris Russell 91 12 0 09 Apr 2022
FairMask: Better Fairness via Model-based Rebalancing of Protected Attributes Kewen Peng Joymallya Chakraborty Tim Menzies FaML 77 32 0 03 Oct 2021
A survey on datasets for fairness-aware machine learning Tai Le Quy Arjun Roy Vasileios Iosifidis Wenbin Zhang Eirini Ntoutsi FaML 112 252 0 01 Oct 2021
Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning Yuyan Wang Xuezhi Wang Alex Beutel Flavien Prost Jilin Chen Ed H. Chi FaML 61 48 0 04 Jun 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 321 500 0 31 Dec 2020
Minimax Pareto Fairness: A Multi Objective Perspective Natalia Martínez Martín Bertrán Guillermo Sapiro FaML 87 197 0 03 Nov 2020
Fairness in Machine Learning: A Survey Simon Caton C. Haas FaML 108 653 0 04 Oct 2020
Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach Cuong Tran Ferdinando Fioretto Pascal Van Hentenryck FedML 82 80 0 26 Sep 2020
Unfairness Discovery and Prevention For Few-Shot Regression Chengli Zhao Feng Chen 46 22 0 23 Sep 2020
Fair Meta-Learning For Few-Shot Classification Chengli Zhao Changbin Li Jincheng Li Feng Chen FaML 57 26 0 23 Sep 2020
Rank-Based Multi-task Learning for Fair Regression Chen Zhao Feng Chen FaML 56 31 0 23 Sep 2020
A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data Matthew B. A. McDermott Bret A. Nestor Evan Kim Wancong Zhang Anna Goldenberg Peter Szolovits Marzyeh Ghassemi Csail AI4TS 64 16 0 20 Jul 2020
Review of Mathematical frameworks for Fairness in Machine Learning E. del Barrio Paula Gordaliza Jean-Michel Loubes FaML FedML 69 40 0 26 May 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 603 4,424 0 23 Aug 2019
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification Evgenii Chzhen Christophe Denis Mohamed Hebiri L. Oneto Massimiliano Pontil FaML 227 87 0 12 Jun 2019
General Fair Empirical Risk Minimization L. Oneto Michele Donini Massimiliano Pontil FaML 89 40 0 29 Jan 2019
Empirical Risk Minimization under Fairness Constraints Michele Donini L. Oneto Shai Ben-David John Shawe-Taylor Massimiliano Pontil FaML 86 445 0 23 Feb 2018