Gradient-based inference of abstract task representations for generalization in neural networks.
Ali HummosFelipe del RíoBrabeeba Mien WangJulio HurtadoCristian Buc CalderonGuangyu Robert YangPublished in: CoRR (2024)
Keyphrases
- neural network
- higher level
- efficient learning
- distributed representations
- pattern recognition
- high level
- back propagation
- genetic algorithm
- fault diagnosis
- neural network model
- belief networks
- fuzzy logic
- artificial neural networks
- bayesian networks
- multilayer perceptron
- probabilistic inference
- inference process
- symbolic knowledge
- model selection
- artificial intelligence
- representational power
- decision trees
- bayesian model
- activation function
- multi layer perceptron
- training process
- multi layer
- feed forward
- self organizing maps
- low level