Explore the potential of self-supervised learning in semi-supervised scenarios through this insightful 23-minute video presentation. Delve into the research findings presented in the paper "Big Self-Supervised Models are Strong Semi-Supervised Learners" as the speaker covers key topics including an introduction to simCLR v1, methodology, empirical results, related work, and conclusions. Gain valuable insights into the broader impact of this research on the field of machine learning and its potential applications.
Big Self-Supervised Models are Strong Semi-Supervised Learners
Overview
Syllabus
GiriÅŸ
Overview • Introduction
simCLR v1
Method
Empirical Results
Related work
Conclusions
Broader impact
Taught by
Launchpad
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