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

Author:

Wang Yuyan1,Wang Xuezhi2,Beutel Alex2,Prost Flavien2,Chen Jilin1,Chi Ed H.1

Affiliation:

1. Google Research, Mountain View, CA, USA

2. Google Research, New York, NY, USA

Publisher

ACM

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2. M 3 oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

3. FairBranch: Mitigating Bias Transfer in Fair Multi-task Learning;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

4. Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness;The 2024 ACM Conference on Fairness, Accountability, and Transparency;2024-06-03

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