Tutorial 16: Meta-Learning - Learning to Learn (Part 1)
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Tutorial 16: Meta-Learning - Learning to Learn (Part 1)
In this tutorial, we will discuss algorithms that learn models which can quickly adapt to new classes and/or tasks with few samples. This area of machine learning is called Meta-Learning, aiming at "learning to learn". Learning from very few examples is a natural task for humans. In contrast to current deep learning models, we need to see only ...
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