Domain Adversarial Fine-Tuning as an Effective Regularizer

Giorgos Vernikos, Katerina Margatina, Alexandra Chronopoulou, Ion Androutsopoulos. Domain Adversarial Fine-Tuning as an Effective Regularizer. In Trevor Cohn, Yulan He, Yang Liu, editors, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, EMNLP 2020, Online Event, 16-20 November 2020. pages 3103-3112, Association for Computational Linguistics, 2020. [doi]

@inproceedings{VernikosMCA20,
  title = {Domain Adversarial Fine-Tuning as an Effective Regularizer},
  author = {Giorgos Vernikos and Katerina Margatina and Alexandra Chronopoulou and Ion Androutsopoulos},
  year = {2020},
  url = {https://www.aclweb.org/anthology/2020.findings-emnlp.278/},
  researchr = {https://researchr.org/publication/VernikosMCA20},
  cites = {0},
  citedby = {0},
  pages = {3103-3112},
  booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, EMNLP 2020, Online Event, 16-20 November 2020},
  editor = {Trevor Cohn and Yulan He and Yang Liu},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-952148-90-3},
}