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

Yuyan Wang, Xuezhi Wang 0002, Alex Beutel, Flavien Prost, Jilin Chen, Ed H. Chi. Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning. In Feida Zhu 0002, Beng Chin Ooi, Chunyan Miao, editors, KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, Singapore, August 14-18, 2021. pages 1748-1757, ACM, 2021. [doi]

@inproceedings{Wang0BPCC21,
  title = {Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning},
  author = {Yuyan Wang and Xuezhi Wang 0002 and Alex Beutel and Flavien Prost and Jilin Chen and Ed H. Chi},
  year = {2021},
  doi = {10.1145/3447548.3467326},
  url = {https://doi.org/10.1145/3447548.3467326},
  researchr = {https://researchr.org/publication/Wang0BPCC21},
  cites = {0},
  citedby = {0},
  pages = {1748-1757},
  booktitle = {KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, Singapore, August 14-18, 2021},
  editor = {Feida Zhu 0002 and Beng Chin Ooi and Chunyan Miao},
  publisher = {ACM},
  isbn = {978-1-4503-8332-5},
}