Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models

Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models. Colombo, P., Pellegrain, V., Boudiaf, M., Tami, M., Storchan, V., Ayed, I. B., & Piantanida, P. In Bouamor, H., Pino, J., & Bali, K., editors, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023, pages 4214–4231, 2023. Association for Computational Linguistics.

Paper doi bibtex

@inproceedings{DBLP:conf/emnlp/ColomboPBTSAP23,
  author       = {Pierre Colombo and
                  Victor Pellegrain and
                  Malik Boudiaf and
                  Myriam Tami and
                  Victor Storchan and
                  Ismail Ben Ayed and
                  Pablo Piantanida},
  editor       = {Houda Bouamor and
                  Juan Pino and
                  Kalika Bali},
  title        = {Transductive Learning for Textual Few-Shot Classification in API-based
                  Embedding Models},
  booktitle    = {Proceedings of the 2023 Conference on Empirical Methods in Natural
                  Language Processing, {EMNLP} 2023, Singapore, December 6-10, 2023},
  pages        = {4214--4231},
  publisher    = {Association for Computational Linguistics},
  year         = {2023},
  url          = {https://doi.org/10.18653/v1/2023.emnlp-main.257},
  doi          = {10.18653/V1/2023.EMNLP-MAIN.257},
  timestamp    = {Fri, 12 Apr 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/emnlp/ColomboPBTSAP23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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