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Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting.
Zeke Xie
Fengxiang He
Shaopeng Fu
Issei Sato
Dacheng Tao
Masashi Sugiyama
Published in:
Neural Comput. (2021)
Keyphrases
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deep learning
artificial neural
network architecture
unsupervised learning
artificial neural networks
machine learning
unsupervised feature learning
feed forward
mental models
weakly supervised
deep architectures
data sets
generative model
back propagation
co occurrence
multiscale
bayesian networks