EACL · 2020 · Conference paper

AdapterFusion: Non-Destructive Task Composition for Transfer Learning

Jonas Pfeiffer, Aishwarya Kamath, Andreas Rücklé, Kyunghyun Cho, Iryna Gurevych

Technische Universität Darmstadt · Supélec · University of Applied Sciences and Arts of Southern Switzerland · Shandong University of Political Science and Law · New York University · Canadian Institute for Advanced Research · Courant Institute of Mathematical Sciences

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Published in
Conference of the European Chapter of the Association for Computational Linguistics
Date
2021-01-01
Citations
1,270
arXiv
2005.00247
Cite
@inproceedings{pfeiffer2020adapterfusion,
  title = {AdapterFusion: Non-Destructive Task Composition for Transfer Learning},
  author = {Jonas Pfeiffer and Aishwarya Kamath and Andreas Rücklé and Kyunghyun Cho and Iryna Gurevych},
  year = {2020},
  booktitle = {Conference of the European Chapter of the Association for Computational Linguistics},
  eprint = {2005.00247},
  archivePrefix = {arXiv},
  doi = {10.18653/v1/2021.eacl-main.39},
  url = {https://arxiv.org/abs/2005.00247},
}