Devansh Arpit, Yingbo Zhou, Bhargava Urala Kota, Venu Govindaraju. Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks. In Maria-Florina Balcan, Kilian Q. Weinberger, editors, Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016. Volume 48 of JMLR Workshop and Conference Proceedings, pages 1168-1176, JMLR.org, 2016. [doi]
@inproceedings{ArpitZKG16,
title = {Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks},
author = {Devansh Arpit and Yingbo Zhou and Bhargava Urala Kota and Venu Govindaraju},
year = {2016},
url = {http://jmlr.org/proceedings/papers/v48/arpitb16.html},
researchr = {https://researchr.org/publication/ArpitZKG16},
cites = {0},
citedby = {0},
pages = {1168-1176},
booktitle = {Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016},
editor = {Maria-Florina Balcan and Kilian Q. Weinberger},
volume = {48},
series = {JMLR Workshop and Conference Proceedings},
publisher = {JMLR.org},
}