Learning Consistent Deep Generative Models from Sparse Data via Prediction Constraints.
Gabriel HopeMadina AbdrakhmanovaXiaoyin ChenMichael C. HughesErik B. SudderthPublished in: CoRR (2020)
Keyphrases
- sparse data
- generative model
- discriminative learning
- boltzmann machine
- prior knowledge
- learning algorithm
- deep belief networks
- learning process
- probabilistic model
- hidden variables
- high dimensional
- learning tasks
- feature selection
- machine learning
- active learning
- feature extraction
- weakly supervised
- image segmentation