Yarin Gal, Zoubin Ghahramani. A Theoretically Grounded Application of Dropout in Recurrent Neural Networks. In Daniel D. Lee, Masashi Sugiyama, Ulrike V. Luxburg, Isabelle Guyon, Roman Garnett, editors, Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain. pages 1019-1027, 2016. [doi]
@inproceedings{GalG16-1,
title = {A Theoretically Grounded Application of Dropout in Recurrent Neural Networks},
author = {Yarin Gal and Zoubin Ghahramani},
year = {2016},
url = {http://papers.nips.cc/paper/6241-a-theoretically-grounded-application-of-dropout-in-recurrent-neural-networks},
researchr = {https://researchr.org/publication/GalG16-1},
cites = {0},
citedby = {0},
pages = {1019-1027},
booktitle = {Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain},
editor = {Daniel D. Lee and Masashi Sugiyama and Ulrike V. Luxburg and Isabelle Guyon and Roman Garnett},
}