Rank-Based Multi-task Learning for Fair Regression

23 September 2020

Papers citing "Rank-Based Multi-task Learning for Fair Regression"

20 / 20 papers shown

Title
Intersectional Divergence: Measuring Fairness in Regression Joe Germino Nuno Moniz Nitesh Chawla FaML 113 0 0 01 May 2025
FEED: Fairness-Enhanced Meta-Learning for Domain Generalization Kai Jiang Chen Zhao Haoliang Wang Feng Chen OOD FedML 78 3 0 02 Nov 2024
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness Chengli Zhao Feng Mi Xintao Wu Kai Jiang Latifur Khan Feng Chen 96 7 0 19 Feb 2024
Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously Chengli Zhao Kai Jiang Xintao Wu Haoliang Wang Latifur Khan Christan Earl Grant Feng Chen OOD 71 4 0 23 Nov 2023
Contrastive Representation Learning Based on Multiple Node-centered Subgraphs Dong Li Wenjun Wang Minglai Shao Chen Zhao SSL 67 3 0 31 Aug 2023
Fairness in Multi-Task Learning via Wasserstein Barycenters Franccois Hu Philipp Ratz Arthur Charpentier 143 10 0 16 Jun 2023
Towards Fair Disentangled Online Learning for Changing Environments Chenxu Zhao Feng Mi Xintao Wu Kai Jiang Latifur Khan Christan Earl Grant Feng Chen 58 15 0 31 May 2023
Open Set Action Recognition via Multi-Label Evidential Learning Chen Zhao Dawei Du A. Hoogs Christopher Funk EDL 68 26 0 27 Feb 2023
Individual Fairness under Uncertainty Wenbin Zhang Zichong Wang Juyong Kim Cheng Cheng Thomas Oommen Pradeep Ravikumar Jeremy C. Weiss FaML 89 12 0 16 Feb 2023
Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization? Rishi Bommasani Kathleen A. Creel Ananya Kumar Dan Jurafsky Percy Liang 92 89 0 25 Nov 2022
A Survey on Preserving Fairness Guarantees in Changing Environments Ainhize Barrainkua Paula Gordaliza Jose A. Lozano Novi Quadrianto FaML 77 3 0 14 Nov 2022
AI Fairness: from Principles to Practice A. Bateni Matthew Chan Ray Eitel-Porter 30 4 0 20 Jul 2022
Learning to Teach Fairness-aware Deep Multi-task Learning Arjun Roy Eirini Ntoutsi 76 7 0 16 Jun 2022
Adaptive Fairness-Aware Online Meta-Learning for Changing Environments Chenxu Zhao Feng Mi Xintao Wu Kai Jiang Latifur Khan Feng Chen CLL 101 21 0 20 May 2022
Layer Adaptive Deep Neural Networks for Out-of-distribution Detection Haoliang Wang Chengli Zhao Xujiang Zhao Feng Chen OODD 53 7 0 01 Mar 2022
Fairness-Aware Online Meta-learning Chengli Zhao Feng Chen B. Thuraisingham FaML 74 35 0 21 Aug 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
A Primal-Dual Subgradient Approachfor Fair Meta Learning Chenxu Zhao Feng Chen Zhuoyi Wang Latifur Khan FaML 47 0 0 26 Sep 2020
Unfairness Discovery and Prevention For Few-Shot Regression Chengli Zhao Feng Chen 48 22 0 23 Sep 2020
Fair Meta-Learning For Few-Shot Classification Chengli Zhao Changbin Li Jincheng Li Feng Chen FaML 62 26 0 23 Sep 2020