Chen Zhu, Wei Ping, Chaowei Xiao, Mohammad Shoeybi, Tom Goldstein, Anima Anandkumar, Bryan Catanzaro. Long-Short Transformer: Efficient Transformers for Language and Vision. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 17723-17736, 2021. [doi]
@inproceedings{ZhuPXSGAC21,
title = {Long-Short Transformer: Efficient Transformers for Language and Vision},
author = {Chen Zhu and Wei Ping and Chaowei Xiao and Mohammad Shoeybi and Tom Goldstein and Anima Anandkumar and Bryan Catanzaro},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/hash/9425be43ba92c2b4454ca7bf602efad8-Abstract.html},
researchr = {https://researchr.org/publication/ZhuPXSGAC21},
cites = {0},
citedby = {0},
pages = {17723-17736},
booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}