Nitin Bansal, Xiaohan Chen, Zhangyang Wang. Can We Gain More from Orthogonality Regularizations in Training Deep Networks?. In Samy Bengio, Hanna M. Wallach, Hugo Larochelle, Kristen Grauman, Nicolò Cesa-Bianchi, Roman Garnett, editors, Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada. pages 4266-4276, 2018. [doi]
@inproceedings{BansalCW18,
title = {Can We Gain More from Orthogonality Regularizations in Training Deep Networks?},
author = {Nitin Bansal and Xiaohan Chen and Zhangyang Wang},
year = {2018},
url = {http://papers.nips.cc/paper/7680-can-we-gain-more-from-orthogonality-regularizations-in-training-deep-networks},
researchr = {https://researchr.org/publication/BansalCW18},
cites = {0},
citedby = {0},
pages = {4266-4276},
booktitle = {Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada},
editor = {Samy Bengio and Hanna M. Wallach and Hugo Larochelle and Kristen Grauman and Nicolò Cesa-Bianchi and Roman Garnett},
}