Nils Rethmeier

Nils Rethmeier

Ph.d.-studerende


Udgivelsesår:
  1. 2023
  2. Udgivet

    A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned, and Perspectives

    Rethmeier, Nils & Augenstein, Isabelle, 2023, I: ACM Computing Surveys. 55, 10, 17 s., 203.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  3. Udgivet

    Efficient, Adaptable and Interpretable NLP

    Rethmeier, Nils, 2023, Department of Computer Science, Faculty of Science, University of Copenhagen. 195 s.

    Publikation: Bog/antologi/afhandling/rapportPh.d.-afhandlingForskning

  4. 2022
  5. Udgivet

    Long-Tail Zero and Few-Shot Learning via Contrastive Pretraining on and for Small Data

    Rethmeier, Nils & Augenstein, Isabelle, 2022, I: Computer Sciences & Mathematics Forum . 3, 18 s., 10.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  6. Udgivet

    Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings

    Ostendorff, M., Rethmeier, Nils, Augenstein, Isabelle, Gipp, B. & Rehm, G., 2022, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (ACL), s. 11670–11688

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  7. 2020
  8. Udgivet

    TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP

    Rethmeier, Nils, Saxena, V. K. & Augenstein, Isabelle, 2020, Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAII). Peters, J. & Sontag, D. (red.). PMLR, s. 440-449 (Proceedings of Machine Learning Research, Bind 124).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

ID: 238718757