@article{Abdi:2016ua,
author = {Abdi, M and Nahavandi, S},
title = {{Multi-Residual Networks: Improving the Speed and Accuracy of Residual Networks}},
journal = {ArXiv e-prints},
year = {2016},
volume = {cs.CV},
month = sep,
annote = {Check Fig 2.

Essentially, a variant of ResNet targeting at having more branches, inspired by "[1]	A. Veit, M. Wilber, and S. Belongie, {\textquotedblleft}Residual Networks Behave Like Ensembles of Relatively Shallow Networks,{\textquotedblright} arXiv, vol. cs.CV, May 2016.".},
keywords = {deep learning, ensemble},
read = {Yes},
rating = {2},
date-added = {2017-05-06T01:09:42GMT},
date-modified = {2017-05-06T01:16:00GMT},
url = {http://arxiv.org/abs/1609.05672},
local-url = {file://localhost/Users/yimengzh/Documents/Papers3_revised/Library.papers3/Articles/2016/Abdi/arXiv%202016%20Abdi.pdf},
file = {{arXiv 2016 Abdi.pdf:/Users/yimengzh/Documents/Papers3_revised/Library.papers3/Articles/2016/Abdi/arXiv 2016 Abdi.pdf:application/pdf}},
uri = {\url{papers3://publication/uuid/786BDCAE-2CA5-45DF-9C34-B0F709F79C1F}}
}

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