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[24] Martin Arjovsky - Out of Distribution Generalization in Machine Learning
The Thesis Review
Introduction
The thesis review podcast features interviews with researchers from around the field. This week's guest is Martin Arjofsky, a postdoctoral researcher at Inria. His research focuses on generative modeling and out of distribution generalization. We discuss whether this out of distribution setting relates to challenges encountered when learning algorithms from data. Also talk about differences between theory and practice, and a whole lot more.
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