SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification

The authors used two tabular datasets, Adult and Credit, that are ubiquitous in fairness literature, and transformed them into multi-label settings.

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Cite this as

Tianci Liu, Haoyu Wang, Yaqing Wang, Xiaoqian Wang, Lu Su, Jing Gao (2024). Dataset: SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification. https://doi.org/10.57702/mc83pca6

DOI retrieved: December 17, 2024

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Created December 17, 2024
Last update December 17, 2024
Defined In https://doi.org/10.48550/arXiv.2302.09683
Author Tianci Liu
More Authors
Haoyu Wang
Yaqing Wang
Xiaoqian Wang
Lu Su
Jing Gao
Homepage https://arxiv.org/abs/2106.09567