Variational Multi-Task Learning with Gumbel-Softmax Priors.
Jiayi ShenXiantong ZhenMarcel WorringLing ShaoPublished in: CoRR (2021)
Keyphrases
- multi task learning
- dirichlet process
- multi task
- gaussian processes
- multiple tasks
- learning problems
- transfer learning
- learning tasks
- high order
- multitask learning
- image segmentation
- bayesian model
- theoretical analysis
- learning models
- variational methods
- learning algorithm
- bayesian framework
- prior information
- machine learning
- bayesian inference
- graph cuts
- markov random field
- prior knowledge
- multi label image annotation