A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network.
Basile ConfavreuxFriedemann ZenkeEverton J. AgnesTimothy P. LillicrapTim P. VogelsPublished in: NeurIPS (2020)
Keyphrases
- meta learning
- neural network
- meta knowledge
- learning rules
- neural network model
- inductive learning
- learning tasks
- machine learning algorithms
- decision trees
- artificial neural networks
- model selection
- association rules
- data mining
- machine learning
- databases
- background knowledge
- prior knowledge
- case study
- feature selection
- data sets