Time Series Representation Learning with Supervised Contrastive Temporal Transformer
Author:
Affiliation:
1. The University of Melbourne,School of Computing and Information Systems,Melbourne,Australia
2. The University of Melbourne,Department of Surgery (Otolaryngology),Melbourne,Australia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10649807/10649898/10650516.pdf?arnumber=10650516
Reference48 articles.
1. Time-Series Representation Learning via Temporal and Contextual Contrasting
2. TS2Vec: Towards Universal Representation of Time Series
3. TimeCLR: A self-supervised contrastive learning framework for univariate time series representation
4. An empirical survey of data augmentation for time series classification with neural networks
5. A simple framework for contrastive learning of visual representations;Chen,2020
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