Self-Paced Multi-Task Learning

@inproceedings{Li2017SelfPacedML,
  title={Self-Paced Multi-Task Learning},
  author={Changsheng Li and Fan Wei and Junchi Yan and Weishan Dong and Qingshan Liu and Hongyuan Zha},
  booktitle={AAAI},
  year={2017}
}
Multi-task learning is a paradigm, where multiple tasks are jointly learnt. Previous multi-task learning models usually treat all tasks and instances per task equally during learning. Inspired by the fact that humans often learn from easy concepts to hard ones in the cognitive process, in this paper, we propose a novel multi-task learning framework that attempts to learn the tasks by simultaneously taking into consideration the complexities of both tasks and instances per task. We propose a… CONTINUE READING
Related Discussions
This paper has been referenced on Twitter 4 times. VIEW TWEETS

Citations

Publications citing this paper.
Showing 1-10 of 10 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 55 references

C

A. Pentina, V. Sharmanska, Lampert
H. • 2015
View 5 Excerpts
Highly Influenced

S

G. Lee, KR A., E. Yang, Hwang
J. • 2016

A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection

2015 IEEE International Conference on Computer Vision (ICCV) • 2015

Curriculum learning of multiple tasks

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) • 2015

Multiview self-paced learning for clustering

Tao Xu, C. Xu 2015 Xu, D. Tao, C. Xu
In IJCAI, • 2015

Similar Papers

Loading similar papers…