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Stochastic Downsampling for Cost-Adjustable Inference and Improved
  Regularization in Convolutional Networks

Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks

29 January 2018
Jason Kuen
Xiangfei Kong
Zhe-nan Lin
G. Wang
Jianxiong Yin
Simon See
Yap-Peng Tan
    BDL
ArXivPDFHTML

Papers citing "Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks"

4 / 4 papers shown
Title
Be Your Own Teacher: Improve the Performance of Convolutional Neural
  Networks via Self Distillation
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation
Linfeng Zhang
Jiebo Song
Anni Gao
Jingwei Chen
Chenglong Bao
Kaisheng Ma
FedML
27
846
0
17 May 2019
Slimmable Neural Networks
Slimmable Neural Networks
Jiahui Yu
L. Yang
N. Xu
Jianchao Yang
Thomas Huang
38
548
0
21 Dec 2018
InstaNAS: Instance-aware Neural Architecture Search
InstaNAS: Instance-aware Neural Architecture Search
A. Cheng
Chieh Hubert Lin
Da-Cheng Juan
Wei Wei
Min Sun
30
46
0
26 Nov 2018
Big-Little Net: An Efficient Multi-Scale Feature Representation for
  Visual and Speech Recognition
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition
Chun-Fu Chen
Quanfu Fan
Neil Rohit Mallinar
Tom Sercu
Rogerio Feris
20
96
0
10 Jul 2018
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