Interactive Multi-task Relationship Learning

By Kaixiang Lin, Jiayu Zhou. 2016

12 citations recorded by the source corpus.

Subfields: Artificial Intelligence

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Qiang Yang
2. Yu Zhang
3. Xi Yin
4. Xiaoming Liu
5. Mingsheng Long
6. Jianmin Wang
7. Dongrui Wu
8. Sinno Jialin Pan

Citations in the corpus

• A Survey on Multi-Task Learning (2017, methodology): “xploitation and exploration, a selection strategy is proposed in [122] to consider both the risk of multi-task learner based on the trace norm regularization and the corresponding confidence bound. In [124], the MTRL method (i.e., problem (21)) is extended to the interactive setting where a human exp”
• Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition (2017, background): “Other work [14], [32], [62] propose to learn the task relationship from a task covariance matrix computed from the data.”