SaFER: A Robust and Efficient Framework for Fine-tuning BERT-based Classifier with Noisy Labels

Zhenting Qi, Xiaoyu Tan, Chao Qu, Yinghui Xu, Yuan Qi. SaFER: A Robust and Efficient Framework for Fine-tuning BERT-based Classifier with Noisy Labels. In Sunayana Sitaram, Beata Beigman Klebanov, Jason D. Williams, editors, Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, ACL 2023, Toronto, Canada, July 9-14, 2023. pages 390-403, Association for Computational Linguistics, 2023. [doi]

@inproceedings{QiTQXQ23,
  title = {SaFER: A Robust and Efficient Framework for Fine-tuning BERT-based Classifier with Noisy Labels},
  author = {Zhenting Qi and Xiaoyu Tan and Chao Qu and Yinghui Xu and Yuan Qi},
  year = {2023},
  url = {https://aclanthology.org/2023.acl-industry.38},
  researchr = {https://researchr.org/publication/QiTQXQ23},
  cites = {0},
  citedby = {0},
  pages = {390-403},
  booktitle = {Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, ACL 2023, Toronto, Canada, July 9-14, 2023},
  editor = {Sunayana Sitaram and Beata Beigman Klebanov and Jason D. Williams},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-959429-68-5},
}