Heterogeneous Contrastive Learning for Foundation Models and Beyond
Author:
Affiliation:
1. University of Illinois at Urbana-Champaign, Champaign, USA
Funder
National Science Foundation
C3.ai Digital Transformation Institute
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3637528.3671454
Reference215 articles.
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2. Survey on Self-Supervised Learning: Auxiliary Pretext Tasks and Contrastive Learning Methods in Imaging
3. Kumar Ayush Burak Uzkent Chenlin Meng Kumar Tanmay Marshall Burke David Lobell and Stefano Ermon. 2021. Geography-aware self-supervised learning. In ICCV.
4. Taivanbat Badamdorj, Mrigank Rochan, Yang Wang, and Li Cheng. 2022. Contrastive Learning for Unsupervised Video Highlight Detection. In CVPR. IEEE, 14022--14032.
5. A Review on Outlier/Anomaly Detection in Time Series Data
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