Better Robustness by More Coverage: Adversarial and Mixup Data Augmentation for Robust Finetuning
Chenglei Si, Zhengyan Zhang, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Qun Liu, Maosong Sun
- Anthology ID:
- 2021.findings-acl.137
- Volume:
- Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
- Month:
- August
- Year:
- 2021
- Address:
- Online
- Editors:
- Chengqing Zong, Fei Xia, Wenjie Li, Roberto Navigli
- Venue:
- Findings
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1569–1576
- Language:
- URL:
- https://aclanthology.org/2021.findings-acl.137
- DOI:
- 10.18653/v1/2021.findings-acl.137
- Cite (ACL):
- Chenglei Si, Zhengyan Zhang, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Qun Liu, and Maosong Sun. 2021. Better Robustness by More Coverage: Adversarial and Mixup Data Augmentation for Robust Finetuning. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 1569–1576, Online. Association for Computational Linguistics.
- Cite (Informal):
- Better Robustness by More Coverage: Adversarial and Mixup Data Augmentation for Robust Finetuning (Si et al., Findings 2021)
- PDF:
- https://preview.aclanthology.org/add_acl24_videos/2021.findings-acl.137.pdf
- Data
- AG News, IMDb Movie Reviews, SST, SST-2