Self-Supervised Contrastive Representation Learning for Semi-Supervised Time-Series Classification
Author:
Affiliation:
1. School of Computer Science and Engineering, Nanyang Technological University, Singapore
2. Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore
Funder
A*STAR SINGA Scholarship
Agency for Science, Technology and Research
AME Programmatic Funds
Career Development
MOE Academic Research
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software
Link
http://xplorestaging.ieee.org/ielx7/34/10308548/10233092.pdf?arnumber=10233092
Reference53 articles.
1. Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey
2. Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods
3. Colorful Image Colorization
4. A Survey on Contrastive Self-Supervised Learning
5. Time Series Data Augmentation for Deep Learning: A Survey
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