Learning Invariances in Neural Networks from Training Data.
Gregory W. BentonMarc FinziPavel IzmailovAndrew Gordon WilsonPublished in: NeurIPS (2020)
Keyphrases
- neural network
- training data
- learning algorithm
- learning tasks
- data sets
- learning process
- supervised learning
- learning systems
- prior knowledge
- neural nets
- reinforcement learning
- artificial neural networks
- cascade correlation
- neural learning
- learning rules
- positive examples
- learning scheme
- connectionist systems
- mobile learning
- background knowledge
- test set
- unsupervised learning
- knowledge acquisition
- active learning
- pattern recognition
- feature selection