Multi-Task Learning With Latent Variation Decomposition for Multivariate Responses in a Manufacturing Network-Reference-Cited by-同舟云学术

Multi-Task Learning With Latent Variation Decomposition for Multivariate Responses in a Manufacturing Network

Published:2023-01 Issue:1 Volume:20 Page:285-295
ISSN:1545-5955
Container-title:IEEE Transactions on Automation Science and Engineering
language:
Short-container-title:IEEE Trans. Automat. Sci. Eng.

Author:

Li Yifu¹^ORCID,Yan Hao²^ORCID,Jin Ran³^ORCID

Affiliation:

1. Department of Industrial and Systems Engineering, University of Oklahoma, Norman, OK, USA

2. School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Phoenix, AZ, USA

3. Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA, USA

Funder

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

https://ieeexplore.ieee.org/ielam/8856/10007430/9712613-aam.pdf

Reference37 articles.

1. An efficient active learning method for multi-task learning

2. Oxygen and related defects in Czochralski silicon crowns;pascoa,2014

3. Unsupervised task clustering for multi-task reinforcement learning;ackermann;Proc Workshop Deep Reinforcement Learn 34th Conf Neural Inf Process Syst Virtual,2020

4. Task Relation Networks

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Knowledge distillation-based information sharing for online process monitoring in decentralized manufacturing system;Journal of Intelligent Manufacturing;2024-03-29

2. Interpetable Target-Feature Aggregation for Multi-task Learning Based on Bias-Variance Analysis;Lecture Notes in Computer Science;2024

3. MTFormer: Multi-task Learning via Transformer and Cross-Task Reasoning;Lecture Notes in Computer Science;2022