Regularized Training of Intermediate Layers for Generative Models for Inverse Problems.
Sean GunnJorio CocolaPaul HandPublished in: CoRR (2022)
Keyphrases
- generative model
- inverse problems
- deep belief networks
- image reconstruction
- probabilistic model
- global optimization
- convex optimization
- discriminative learning
- discriminatively trained
- hierarchical hidden markov models
- discriminative models
- optimization methods
- prior knowledge
- conditional random fields
- restricted boltzmann machine
- object categories
- training examples
- unsupervised learning
- em algorithm
- optimization problems
- semi supervised
- generative and discriminative models
- structured prediction
- deep learning
- multiscale
- learning algorithm
- expectation maximization
- maximum likelihood
- super resolution
- supervised learning
- information extraction
- high quality