Improving neuroevolutionary transfer learning of deep recurrent neural networks through network-aware adaptation.
AbdElRahman A. ElSaidJoshua KarnsZimeng LyuDaniel E. KrutzAlexander OrorbiaTravis DesellPublished in: GECCO (2020)
Keyphrases
- transfer learning
- recurrent neural networks
- recurrent networks
- knowledge transfer
- learning tasks
- neural network
- cross domain
- feed forward
- structure learning
- echo state networks
- active learning
- artificial neural networks
- collaborative filtering
- labeled data
- text categorization
- machine learning algorithms
- machine learning
- reservoir computing
- manifold alignment
- reinforcement learning
- hidden layer
- network structure
- domain adaptation
- learning algorithm
- semi supervised learning
- text classification
- multi task
- transfer knowledge
- control system
- nonlinear dynamic systems
- transferring knowledge
- decision trees
- training data
- neural model
- fuzzy neural network
- target domain
- information extraction
- semi supervised
- training samples