Uncertainty Estimation for Debiased Models: Does Fairness Hurt Reliability?

Gleb Kuzmin, Artem Vazhentsev, Artem Shelmanov, Xudong Han, Simon Suster, Maxim Panov, Alexander Panchenko, Timothy Baldwin


Anthology ID:
2023.ijcnlp-main.48
Volume:
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
Month:
November
Year:
2023
Address:
Nusa Dua, Bali
Editors:
Jong C. Park, Yuki Arase, Baotian Hu, Wei Lu, Derry Wijaya, Ayu Purwarianti, Adila Alfa Krisnadhi
Venues:
IJCNLP | AACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
744–770
Language:
URL:
https://aclanthology.org/2023.ijcnlp-main.48
DOI:
10.18653/v1/2023.ijcnlp-main.48
Bibkey:
Cite (ACL):
Gleb Kuzmin, Artem Vazhentsev, Artem Shelmanov, Xudong Han, Simon Suster, Maxim Panov, Alexander Panchenko, and Timothy Baldwin. 2023. Uncertainty Estimation for Debiased Models: Does Fairness Hurt Reliability?. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 744–770, Nusa Dua, Bali. Association for Computational Linguistics.
Cite (Informal):
Uncertainty Estimation for Debiased Models: Does Fairness Hurt Reliability? (Kuzmin et al., IJCNLP-AACL 2023)
Copy Citation:
PDF:
https://aclanthology.org/2023.ijcnlp-main.48.pdf