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Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks.
Jason Kuen
Xiangfei Kong
Zhe Lin
Gang Wang
Jianxiong Yin
Simon See
Yap-Peng Tan
Published in:
CVPR (2018)
Keyphrases
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probabilistic networks
network design
linear gaussian
social networks
bayesian networks
total cost
network structure
flow network
probabilistic inference
parameter selection
maximum flow
learning algorithm
wireless sensor networks
sparse coding
expected cost
sum product