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An Empirical Study of the Effects of Sample-Mixing Methods for Efficient Training of Generative Adversarial Networks.
Makoto Takamoto
Yusuke Morishita
Published in:
CoRR (2021)
Keyphrases
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significant improvement
multi agent
artificial neural networks
empirical studies
cross validation
data sets
information retrieval
preprocessing
hidden markov models
computational cost
semi supervised
benchmark datasets
machine learning methods
network structure