A Flexible framework for Machine Learning | AI2

A Flexible framework for Machine Learning
Ferran Alet

In this last decade, we have seen a lot of progress in AI and Machine Learning using different variations on a single recipe: we specify a task as learning a function mapping inputs to outputs and we train a single neural network to approximate it. In this talk, I will show that this one NN per task framework can be extended in order to improve generalization. First, I will describe modular meta-learning: …

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