Task relation networks
Multi-task learning is popular in machine learning and computer vision. In multitask learning, properly modeling task relations is important for boosting the performance of jointly learned tasks. Task covariance modeling has been successfully used to model the relations of tasks but is limited to ho...
Saved in:
Main Authors: | LI, Jianshu, ZHOU, Pan, CHEN, Yunpeng, ZHAO, Jian, ROY, Sujoy, YAN, Shuicheng, FENG, Jiashi, SIM, Terence |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2019
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/9009 https://ink.library.smu.edu.sg/context/sis_research/article/10012/viewcontent/4d0f3cbd_77cd_4572_a285_c355cc513c00.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Task Relation Networks
by: Li Jianshu, et al.
Published: (2020) -
On the substructure countability of graph neural networks
by: XIA, Wenwen, et al.
Published: (2022) -
TENet: Triple Excitation Network for video salient object detection
by: REN, Sucheng, et al.
Published: (2020) -
ShellNet: Efficient point cloud convolutional neural networks using concentric shells statistics
by: ZHANG, Zhiyuan, et al.
Published: (2019) -
Towards understanding why mask reconstruction pretraining helps in downstream tasks
by: PAN, Jiachun, et al.
Published: (2023)