Bias and Generalization in Deep Generative Models: An Empirical Study.
Shengjia ZhaoHongyu RenArianna YuanJiaming SongNoah D. GoodmanStefano ErmonPublished in: CoRR (2018)
Keyphrases
- generative model
- representational power
- mixture model
- probabilistic model
- discriminative models
- discriminative learning
- em algorithm
- prior knowledge
- deep belief networks
- conditional random fields
- semi supervised
- hierarchical hidden markov models
- topic models
- hidden variables
- maximum entropy principle
- learning experience
- object categories
- clustering algorithm
- generative and discriminative models
- machine learning
- unsupervised learning
- image classification
- information extraction
- similarity measure
- feature selection