Shiyang Li, Xiaoyong Jin, Yao Xuan, Xiyou Zhou, Wenhu Chen, Yu-Xiang Wang, Xifeng Yan. Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting. In Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d'Alché-Buc, Edward A. Fox, Roman Garnett, editors, Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada. pages 5244-5254, 2019. [doi]
@inproceedings{LiJXZCWY19,
title = {Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting},
author = {Shiyang Li and Xiaoyong Jin and Yao Xuan and Xiyou Zhou and Wenhu Chen and Yu-Xiang Wang and Xifeng Yan},
year = {2019},
url = {http://papers.nips.cc/paper/8766-enhancing-the-locality-and-breaking-the-memory-bottleneck-of-transformer-on-time-series-forecasting},
researchr = {https://researchr.org/publication/LiJXZCWY19},
cites = {0},
citedby = {0},
pages = {5244-5254},
booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada},
editor = {Hanna M. Wallach and Hugo Larochelle and Alina Beygelzimer and Florence d'Alché-Buc and Edward A. Fox and Roman Garnett},
}