| @inproceedings{houlsby2019adapter, | |
| title={Parameter-efficient transfer learning for NLP}, | |
| author={Houlsby, Neil and Giurgiu, Andrei and Jastrzebski, Stanislaw and Morrone, Bruna and De Laroussilhe, Quentin and Gesmundo, Andrea and Attariyan, Mona and Gelly, Sylvain}, | |
| booktitle={International Conference on Machine Learning}, | |
| pages={2790--2799}, | |
| year={2019}, | |
| organization={PMLR} | |
| } | |
| @misc{Junxian2021unified, | |
| doi = {10.48550/ARXIV.2110.04366}, | |
| url = {https://arxiv.org/abs/2110.04366}, | |
| author = {He, Junxian and Zhou, Chunting and Ma, Xuezhe and Berg-Kirkpatrick, Taylor and Neubig, Graham}, | |
| keywords = {Computation and Language (cs.CL), Machine Learning (cs.LG), FOS: Computer and information sciences, FOS: Computer and information sciences}, | |
| title = {Towards a Unified View of Parameter-Efficient Transfer Learning}, | |
| publisher = {arXiv}, | |
| year = {2021}, | |
| copyright = {arXiv.org perpetual, non-exclusive license} | |
| } | |