Function-Space Regularization in Neural Networks: A Probabilistic Perspective.
Tim G. J. RudnerSanyam KapoorShikai QiuAndrew Gordon WilsonPublished in: ICML (2023)
Keyphrases
- neural network
- dual space
- genetic algorithm
- bayesian networks
- reproducing kernel hilbert space
- piecewise linear
- pattern recognition
- artificial neural networks
- space time
- fuzzy logic
- search space
- viewpoint
- image processing
- prolate spheroidal
- function approximators
- regularization term
- multi layer
- neural nets
- input space
- multilayer perceptron
- radial basis function
- back propagation
- image restoration
- generative model
- denoising
- probabilistic model