Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting.
Zeke XieFengxiang HeShaopeng FuIssei SatoDacheng TaoMasashi SugiyamaPublished in: CoRR (2020)
Keyphrases
- deep learning
- artificial neural
- network architecture
- artificial neural networks
- unsupervised feature learning
- unsupervised learning
- feed forward
- machine learning
- weakly supervised
- text mining
- neural network
- mental models
- decision trees
- natural language processing
- neural network model
- pattern recognition
- bayesian networks
- data mining