Jing Zhou, Yanan Zheng, Jie Tang, Li Jian, Zhilin Yang. FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning. In Smaranda Muresan, Preslav Nakov, Aline Villavicencio, editors, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2022, Dublin, Ireland, May 22-27, 2022. pages 8646-8665, Association for Computational Linguistics, 2022. [doi]
@inproceedings{ZhouZTJY22,
title = {FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning},
author = {Jing Zhou and Yanan Zheng and Jie Tang and Li Jian and Zhilin Yang},
year = {2022},
url = {https://aclanthology.org/2022.acl-long.592},
researchr = {https://researchr.org/publication/ZhouZTJY22},
cites = {0},
citedby = {0},
pages = {8646-8665},
booktitle = {Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2022, Dublin, Ireland, May 22-27, 2022},
editor = {Smaranda Muresan and Preslav Nakov and Aline Villavicencio},
publisher = {Association for Computational Linguistics},
isbn = {978-1-955917-21-6},
}