Graph-Driven Generative Models for Heterogeneous Multi-Task Learning.
Wenlin WangHongteng XuZhe GanBai LiGuoyin WangLiqun ChenQian YangWenqi WangLawrence CarinPublished in: AAAI (2020)
Keyphrases
- generative model
- multi task learning
- multi task
- probabilistic model
- gaussian processes
- learning tasks
- bayesian framework
- high order
- prior knowledge
- learning problems
- mixture model
- semi supervised
- gaussian process
- latent dirichlet allocation
- transfer learning
- conditional random fields
- learning algorithm
- em algorithm
- topic models
- theoretical analysis
- bayesian inference
- expectation maximization
- metric learning
- hyperparameters
- maximum likelihood
- graphical models
- image segmentation