Young-Jin Kim, Hany Hassan. FastFormers: Highly Efficient Transformer Models for Natural Language Understanding. In Nafise Sadat Moosavi, Angela Fan, Vered Shwartz, Goran Glavas, Shafiq Joty, Alex Wang, Thomas Wolf 0008, editors, Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing, SustaiNLP@EMNLP 2020, Online, November 20, 2020. pages 149-158, Association for Computational Linguistics, 2020. [doi]
@inproceedings{KimH20-13,
title = {FastFormers: Highly Efficient Transformer Models for Natural Language Understanding},
author = {Young-Jin Kim and Hany Hassan},
year = {2020},
doi = {10.18653/v1/2020.sustainlp-1.20},
url = {https://doi.org/10.18653/v1/2020.sustainlp-1.20},
researchr = {https://researchr.org/publication/KimH20-13},
cites = {0},
citedby = {0},
pages = {149-158},
booktitle = {Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing, SustaiNLP@EMNLP 2020, Online, November 20, 2020},
editor = {Nafise Sadat Moosavi and Angela Fan and Vered Shwartz and Goran Glavas and Shafiq Joty and Alex Wang and Thomas Wolf 0008},
publisher = {Association for Computational Linguistics},
isbn = {978-1-952148-77-4},
}