NestedNet: Learning Nested Sparse Structures in Deep Neural Networks

Recently, there have been increasing demands to construct compact deep architectures to remove unnecessary redundancy and to improve the inference speed. While many recent works focus on reducing the redundancy by eliminating unneeded weight parameters, it is not possible to apply a single deep netw...

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Vydané v:	2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition s. 8669 - 8678
Hlavní autori:	Kim, Eunwoo, Ahn, Chanho, Oh, Songhwai
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2018
Predmet:	Computer architecture Knowledge engineering Neural networks Optimization Redundancy Task analysis
ISSN:	1063-6919
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