Yann N. Dauphin
Yann N. Dauphin is a machine learning researcher at Google Research working on understanding the fundamentals of deep learning algorithms and leveraging that in applications. Prior to joining Google in 2019, he was a researcher at Facebook AI Research from 2015 to 2018 where his work led to award-winning scientific publications and helped improve automatic translation on Facebook.com. He received his PhD from U. of Montreal under the supervision of Prof. Yoshua Bengio. During this time, he and his team won international machine learning competitions such as the Unsupervised Transfer Learning Challenge in 2011.
Authored Publications
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Google
Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win
Yani Ioannou
Cem Keskin
AAAI Conference on Artificial Intelligence (2022)
Continental-scale building detection from high resolution satellite imagery
Wojciech Sirko
Yasser Salah Eddine Bouchareb
Maxim Neumann
Moustapha Cisse
arXiv (2021)
MetaInit: Initializing learning by learning to initialize
Samuel S. Schoenholz
Advances in Neural Information Processing Systems 32, Curran Associates, Inc. (2019), pp. 12624-12636
