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Self-Supervised Learning and the Quest for Reducing Labeled Data in Deep Learning

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By Thalles Silva, Yann LeCun, DeepMind’s AlphaStar, Yann LeCun slides
| Towards Data Science
Notes on the current state of deep learning and how self-supervision may be the answer to more robust models Image by free stock photos from www.picjumbo.com from Pixabay There is one single thing that every Deep Learning practitioner agrees. Deep learning models are data inefficient. Let’s start by considering the popular task of classification in Computer Vision. Take the ImageNet database as an example. It contains 1.3 million images from 1000 different classes.
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