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%0 Conference Proceedings
%T Minimax and Neyman–Pearson Meta-Learning for Outlier Languages
%A Ponti, Edoardo Maria
%A Aralikatte, Rahul
%A Shrivastava, Disha
%A Reddy, Siva
%A Søgaard, Anders
%Y Zong, Chengqing
%Y Xia, Fei
%Y Li, Wenjie
%Y Navigli, Roberto
%S Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
%D 2021
%8 August
%I Association for Computational Linguistics
%C Online
%F ponti-etal-2021-minimax
%R 10.18653/v1/2021.findings-acl.106
%U https://aclanthology.org/2021.findings-acl.106
%U https://doi.org/10.18653/v1/2021.findings-acl.106
%P 1245-1260

Markdown (Informal)

[Minimax and Neyman–Pearson Meta-Learning for Outlier Languages](https://aclanthology.org/2021.findings-acl.106) (Ponti et al., Findings 2021)

• Minimax and Neyman–Pearson Meta-Learning for Outlier Languages (Ponti et al., Findings 2021)

ACL

• Edoardo Maria Ponti, Rahul Aralikatte, Disha Shrivastava, Siva Reddy, and Anders Søgaard. 2021. Minimax and Neyman–Pearson Meta-Learning for Outlier Languages. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 1245–1260, Online. Association for Computational Linguistics.