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Self-Supervised Learning for Anomaly Detection in Python: Part 2
Jan. 6, 2022, 1:20 p.m. | Lilit Yolyan
Towards Data Science - Medium towardsdatascience.com
CutPaste: self-supervised learning as an improvement for Kernel Density Estimation
Photo by Randy Fath on UnsplashSelf-supervised learning is one of the most popular fields in modern deep-learning research. As Yann Lecun likes to say self-supervised learning is the dark matter of intelligence and the way to create common sense in AI systems. The ideas and techniques of this paradigm attract many researchers to try and enlarge the application of self-supervised learning into new research fields. Of course, anomaly detection …
anomaly detection cutpaste detection kernel-density-estimation learning part python self-supervised learning sota supervised learning
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