Calibrating Imbalanced Classifiers with Focal Loss: An Empirical Study

Cheng Wang 0002, Jorge Balazs, György Szarvas, Patrick Ernst, Lahari Poddar, Pavel Danchenko. Calibrating Imbalanced Classifiers with Focal Loss: An Empirical Study. In Yunyao Li, Angeliki Lazaridou, editors, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7 - 11, 2022. pages 145-153, Association for Computational Linguistics, 2022. [doi]

@inproceedings{WangBSEPD22,
  title = {Calibrating Imbalanced Classifiers with Focal Loss: An Empirical Study},
  author = {Cheng Wang 0002 and Jorge Balazs and György Szarvas and Patrick Ernst and Lahari Poddar and Pavel Danchenko},
  year = {2022},
  url = {https://aclanthology.org/2022.emnlp-industry.14},
  researchr = {https://researchr.org/publication/WangBSEPD22},
  cites = {0},
  citedby = {0},
  pages = {145-153},
  booktitle = {Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7 - 11, 2022},
  editor = {Yunyao Li and Angeliki Lazaridou},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-952148-25-5},
}