Navigating the Trade-Off between Multi-Task Learning and Learning to Multitask in Deep Neural Networks.
Sachin RaviSebastian MusslickMaia HaminTheodore L. WillkeJonathan D. CohenPublished in: CoRR (2020)
Keyphrases
- multi task learning
- multi task
- multiple tasks
- learning tasks
- multitask learning
- learning problems
- multi class
- gaussian processes
- transfer learning
- learning algorithm
- theoretical analysis
- kernel methods
- learning models
- metric learning
- supervised learning
- feature selection
- machine learning
- high order
- inductive learning
- text classification
- classification models
- active learning
- prior knowledge
- pairwise
- maximum margin
- multiple related tasks