Rank-Based Multi-task Learning for Fair Regression

23 September 2020

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

6 / 6 papers shown

Title
Intersectional Divergence: Measuring Fairness in Regression Joe Germino Nuno Moniz Nitesh V. Chawla FaML 65 0 0 01 May 2025
Fairness in Multi-Task Learning via Wasserstein Barycenters Franccois Hu Philipp Ratz Arthur Charpentier 35 10 0 16 Jun 2023
Individual Fairness under Uncertainty Wenbin Zhang Zichong Wang Juyong Kim Cheng Cheng Thomas Oommen Pradeep Ravikumar Jeremy C. Weiss FaML 38 12 0 16 Feb 2023
Layer Adaptive Deep Neural Networks for Out-of-distribution Detection Haoliang Wang Chengli Zhao Xujiang Zhao Feng Chen OODD 14 7 0 01 Mar 2022
Fairness-Aware Online Meta-learning Chengli Zhao Feng Chen B. Thuraisingham FaML 34 34 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 24 47 0 04 Jun 2021