Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning

4 June 2021

Papers citing "Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning"

5 / 5 papers shown

Title
Justified Evidence Collection for Argument-based AI Fairness Assurance Alpay Sabuncuoglu Christopher Burr Carsten Maple 14 0 0 12 May 2025
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models Ruta Binkyte Ivaxi Sheth Zhijing Jin Mohammad Havaei Bernhard Schölkopf Mario Fritz 64 0 0 28 Feb 2025
On Learning Fairness and Accuracy on Multiple Subgroups Changjian Shui Gezheng Xu Qi Chen Jiaqi Li Charles X. Ling Tal Arbel Boyu Wang Christian Gagné 37 37 0 19 Oct 2022
Survey on Fair Reinforcement Learning: Theory and Practice Pratik Gajane A. Saxena M. Tavakol George Fletcher Mykola Pechenizkiy FaML OffRL 20 13 0 20 May 2022
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 210 663 0 17 Feb 2018