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%0 Conference Proceedings
%T A Novel Information Theoretic Objective to Disentangle Representations for Fair Classification
%A Colombo, Pierre
%A Noiry, Nathan
%A Staerman, Guillaume
%A Piantanida, Pablo
%Y Park, Jong C.
%Y Arase, Yuki
%Y Hu, Baotian
%Y Lu, Wei
%Y Wijaya, Derry
%Y Purwarianti, Ayu
%Y Krisnadhi, Adila Alfa
%S Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings)
%D 2023
%8 November
%I Association for Computational Linguistics
%C Nusa Dua, Bali
%F colombo-etal-2023-novel
%R 10.18653/v1/2023.findings-ijcnlp.17
%U https://aclanthology.org/2023.findings-ijcnlp.17
%U https://doi.org/10.18653/v1/2023.findings-ijcnlp.17
%P 184-198

Markdown (Informal)

[A Novel Information Theoretic Objective to Disentangle Representations for Fair Classification](https://aclanthology.org/2023.findings-ijcnlp.17) (Colombo et al., Findings 2023)

• A Novel Information Theoretic Objective to Disentangle Representations for Fair Classification (Colombo et al., Findings 2023)

ACL

• Pierre Colombo, Nathan Noiry, Guillaume Staerman, and Pablo Piantanida. 2023. A Novel Information Theoretic Objective to Disentangle Representations for Fair Classification. In Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings), pages 184–198, Nusa Dua, Bali. Association for Computational Linguistics.