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Course

CS-625: Transfer learning and meta-learning

Summary

This seminar course covers principles and recent advancements in machine learning methods that have the ability to solve multiple tasks and generalize to new domains in which training and test distributions are different.

Lectures

Instructor

Maria Brbic

Maria Brbic is an assistant professor in computer science at EPFL. Prior to joining EPFL, Maria was a postdoctoral researcher in Computer Science at Stanford University working with Jure Leskovec. She received her PhD degree from University of Zagreb in 2019, while also researching at Stanford University and University of Tokyo. Her research was awarded with the Fulbright Scholarship, L’Oreal UNESCO for Women in Science Scholarship, Branimir Jernej award for outstanding publication in biology and biomedicine, and Josip Loncar Silver Plaque award for the best doctoral dissertation. She has been named a Rising Star in EECS by MIT in 2021. Her research is focused on developing new machine learning methods and applying her methods to advance biomedical research.

Official source

https://edu.epfl.ch/coursebook/en/transfer-learning-and-meta-learning-CS-625

Moodle Page

http://go.epfl.ch/CS-625

About this result

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Summary

Lectures

Instructor

Maria Brbic

Official source

https://edu.epfl.ch/coursebook/en/transfer-learning-and-meta-learning-CS-625

Moodle Page

http://go.epfl.ch/CS-625

About this result

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