Neural Collapse Inspired Debiased Representation Learning for Min-max Fairness

Author:

Lu Shenyu1ORCID,Chai Junyi1ORCID,Wang Xiaoqian1ORCID

Affiliation:

1. Purdue University, West Lafayette, IN, USA

Funder

NSF (National Science Foundation)

Publisher

ACM

Reference58 articles.

1. Jacob D Abernethy, Pranjal Awasthi, Matthäus Kleindessner, Jamie Morgenstern, Chris Russell, and Jie Zhang. 2022. Active Sampling for Min-Max Fairness. In International Conference on Machine Learning. PMLR, 53--65.

2. Robert Adragna, Elliot Creager, David Madras, and Richard Zemel. 2020. Fairness and robustness in invariant learning: A case study in toxicity classification. arXiv preprint arXiv:2011.06485 (2020).

3. Fairness without demographics through knowledge distillation;Chai Junyi;Advances in Neural Information Processing Systems,2022

4. Junyi Chai and Xiaoqian Wang. 2022. Fairness with adaptive weights. In International Conference on Machine Learning. PMLR, 2853--2866.

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