Active learning for semi-supervised multi-task learning
By Xuejun Liao, Lawrence Carin. 2009
13 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Qiang Yang
- Yu Zhang
- Mingsheng Long
- Sebastian Ruder
- Yu Zhang
- Mingxia Liu
- Jianmin Wang
- Sinno Jialin Pan
Citations in the corpus
- A Survey on Multi-Task Learning (2017, methodology): “[115] combine semi-supervised learning and active learning to utilize unlabeled data for MTL by using the Fisher information as a criterion to select unlabeled data to acquire their labels with the semi-supervised multi-task classification model [109], [110] as the classifier for multiple tasks.”