On the Opportunity of Causal Deep Generative Models: A Survey and Future Directions.
Guanglin ZhouLina YaoXiwei XuChen WangLiming ZhuKun ZhangPublished in: CoRR (2023)
Keyphrases
- future directions
- generative model
- probabilistic model
- lessons learned
- deep belief networks
- mixture model
- current status
- hierarchical hidden markov models
- discriminative learning
- bayesian networks
- discriminative models
- prior knowledge
- semi supervised
- em algorithm
- current trends
- current challenges
- object categories
- maximum entropy principle
- semi supervised learning
- conditional random fields
- representational power
- causal independence
- information extraction
- deep learning
- active learning
- discriminative methods
- learning algorithm