Self-Adapted Multi-Task Clustering

By Xianchao Zhang, Xiaotong Zhang, 刘晗. 2016

34 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.

1. Yu Zhang
2. Qiang Yang
3. Xiaotong Zhang
4. Xianchao Zhang
5. 刘晗
6. Jiebo Luo
7. Mingsheng Long
8. Sebastian Ruder

Citations in the corpus

• A Survey on Multi-Task Learning (2017, methodology): “In [131], a multi-task clustering method belonging to instance-based MTL is proposed to share data instances among different tasks.”
• Multi-Task Clustering with Model Relation Learning (2018, methodology): “(2) SAMTC [Zhang et al. , 2016] first finds possibly related clusters between each pair of tasks and obtains a pair of subtasks, then it further learns the relatedness between each pair of subtasks.”
• A Survey on Multi-View Clustering (2017, unknown): “Multi-task clustering aims to improve the performance of unsupervised clustering tasks, such as [123], [124], [125], [126], [127].”