Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation.
AbdElRahman A. ElSaidJoshua KarnsAlexander G. Ororbia IIDaniel E. KrutzZimeng LyuTravis DesellPublished in: CoRR (2020)
Keyphrases
- recurrent neural networks
- transfer learning
- recurrent networks
- learning tasks
- knowledge transfer
- reinforcement learning
- feed forward
- labeled data
- neural network
- neural model
- learning algorithm
- structure learning
- echo state networks
- reservoir computing
- network structure
- semi supervised learning
- collaborative filtering
- cross domain
- machine learning algorithms
- text categorization
- active learning
- hidden layer
- machine learning
- transfer knowledge
- manifold alignment
- multi task
- transferring knowledge
- knowledge sharing
- text classification
- text mining
- nearest neighbor
- e learning
- decision making
- data mining