Nathan Ng, KyungHyun Cho, Marzyeh Ghassemi. SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness. In Bonnie Webber, Trevor Cohn, Yulan He, Yang Liu, editors, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020. pages 1268-1283, Association for Computational Linguistics, 2020. [doi]
@inproceedings{NgCG20, title = {SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness}, author = {Nathan Ng and KyungHyun Cho and Marzyeh Ghassemi}, year = {2020}, url = {https://www.aclweb.org/anthology/2020.emnlp-main.97/}, researchr = {https://researchr.org/publication/NgCG20}, cites = {0}, citedby = {0}, pages = {1268-1283}, booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020}, editor = {Bonnie Webber and Trevor Cohn and Yulan He and Yang Liu}, publisher = {Association for Computational Linguistics}, isbn = {978-1-952148-60-6}, }