Mitigating Unwanted Biases with Adversarial Learning-Reference-Cited by-同舟云学术

Mitigating Unwanted Biases with Adversarial Learning

Published:2018-12-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society
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Author:

Zhang Brian Hu¹,Lemoine Blake²,Mitchell Margaret²

Affiliation:

1. Stanford University, Stanford, CA, USA

2. Google, Mountain View, CA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3278721.3278779

Reference9 articles.

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3. Bolukbasi T.; Chang K.-W.; Zou J. Y.; Saligrama V.; and Kalai A. T. 2016. Man is to computer programmer as woman is to homemaker? debiasing word embeddings. In Advances in Neural Information Processing Systems 4349--4357. Bolukbasi T.; Chang K.-W.; Zou J. Y.; Saligrama V.; and Kalai A. T. 2016. Man is to computer programmer as woman is to homemaker? debiasing word embeddings. In Advances in Neural Information Processing Systems 4349--4357.

4. Goodfellow I.; Pouget-Abadie J.; Mirza M.; Xu B.; Warde-Farley D.; Ozair S.; Courville A.; and Bengio Y. 2014. Generative adversarial nets. In Advances in neural information processing systems 2672--2680. Goodfellow I.; Pouget-Abadie J.; Mirza M.; Xu B.; Warde-Farley D.; Ozair S.; Courville A.; and Bengio Y. 2014. Generative adversarial nets. In Advances in neural information processing systems 2672--2680.

5. Hardt M.; Price E.; Srebro N.; etal 2016. Equality of opportunity in supervised learning. In Advances in Neural Information Processing Systems 3315--3323. Hardt M.; Price E.; Srebro N.; et al. 2016. Equality of opportunity in supervised learning. In Advances in Neural Information Processing Systems 3315--3323.

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