Training Discrete Deep Generative Models via Gapped Straight-Through Estimator.
Ting-Han FanTa-Chung ChiAlexander I. RudnickyPeter J. RamadgePublished in: ICML (2022)
Keyphrases
- generative model
- deep belief networks
- discriminatively trained
- probabilistic model
- discriminative learning
- mixture model
- prior knowledge
- discriminative models
- conditional random fields
- hierarchical hidden markov models
- deep learning
- em algorithm
- training set
- unsupervised learning
- object categories
- maximum likelihood
- generative and discriminative models
- least squares
- restricted boltzmann machine
- maximum entropy principle
- computer vision
- expectation maximization
- topic models
- representational power
- higher order
- image processing