Amortised Inference in Structured Generative Models with Explaining Away.
Changmin YuHugo SoulatNeil BurgessManeesh SahaniPublished in: CoRR (2022)
Keyphrases
- generative model
- boltzmann machine
- parameter learning
- probabilistic model
- discriminative learning
- bayesian framework
- mixture model
- prior knowledge
- object categories
- hierarchical hidden markov models
- semi supervised
- discriminative models
- topic models
- generative process
- probabilistic inference
- representational power
- pitman yor process
- hidden variables
- em algorithm
- bayesian inference
- latent dirichlet allocation
- belief networks
- posterior probability
- bayesian networks
- generative and discriminative models
- maximum entropy principle
- computer vision
- information retrieval
- graphical models
- training set
- structured prediction
- pairwise
- conditional random fields