Keynote Details

ML Summit
The big training event for Machine Learning
October 11 - 13, 2021 | Online April 2022 | Munich

Dr. Pieter Buteneers


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June 29 – July 1
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Self-supervised Learning: Teaching AI common sense

How is it that humans can learn from just a few examples and machine learning algorithms can’t? ML algorithms have a lot of trouble understanding common sense and need insane amounts of very costly labelled data. Luckily this is about to change. Self-supervised learning allows ML algorithms to train on low quality unlabelled data. On top of that ML algorithms trained using self-supervised learning seem to pick up common sense and are able to beat human performance in language tasks. Why is that? And how does it work?

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