SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness

SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness Nathan Ng author Kyunghyun Cho author Marzyeh Ghassemi author 2020-11 text Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) Bonnie Webber editor Trevor Cohn editor Yulan He editor Yang Liu editor Association for Computational Linguistics Online conference publication ng-etal-2020-ssmba 10.18653/v1/2020.emnlp-main.97 https://aclanthology.org/2020.emnlp-main.97/ 2020-11 1268 1283