Learning an Interpretable Graph Structure in Multi-Task Learning.
Shujian YuFrancesco AlesianiAmmar ShakerWenzhe YinPublished in: CoRR (2020)
Keyphrases
- multi task learning
- graph structure
- multi task
- learning tasks
- multiple tasks
- learning problems
- multitask learning
- learning process
- supervised learning
- learning algorithm
- kernel methods
- inductive learning
- high order
- directed graph
- multi label
- regression model
- image classification
- pairwise
- data structure
- reinforcement learning