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Momentum Batch Normalization for Deep Learning with Small Batch Size.
Hongwei Yong
Jianqiang Huang
Deyu Meng
Xian-Sheng Hua
Lei Zhang
Published in:
ECCV (12) (2020)
Keyphrases
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batch size
deep learning
batch mode
batch processing
poisson process
single item
unsupervised learning
machine learning
mental models
fixed cost
weakly supervised
finite horizon
active learning
data sets
incremental learning
long run
decision making
graphical models
data points
learning algorithm
order quantity