AdapterFusion: Non-Destructive Task Composition for Transfer Learning
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
- Conference of the European Chapter of the Association for Computational Linguistics
- 2021-01-01
- 1,270
@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},
}