Rewriting a Deep Generative Model.
David BauSteven LiuTongzhou WangJun-Yan ZhuAntonio TorralbaPublished in: CoRR (2020)
Keyphrases
- generative model
- probabilistic model
- deep belief networks
- mixture model
- prior knowledge
- em algorithm
- posterior probability
- semi supervised
- discriminative learning
- conditional random fields
- latent dirichlet allocation
- discriminative models
- object categories
- bayesian framework
- topic models
- fisher kernel
- markov chain monte carlo
- data sets
- expectation maximization
- multiscale
- computer vision