Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks.
Dominik SchnausJongseok LeeDaniel CremersRudolph TriebelPublished in: ICML (2023)
Keyphrases
- neural network
- background knowledge
- learning algorithm
- artificial neural networks
- learning process
- learning machines
- incremental learning
- learning systems
- learning capabilities
- learning rules
- parameter estimation
- learning tasks
- feedforward neural networks
- feed forward
- learning problems
- back propagation
- unsupervised learning
- rough sets
- supervised learning
- active learning
- prior knowledge
- pattern recognition