YANN DAUPHIN

google brain, accra

 
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My research focuses on understanding and developing deep learning algorithms. I'm interested in creating deep learning algorithms that can learn with little supervision and to understand the principles of learning.

I moved in 2019 to Google AI. Before that I worked for close to 4 years at Facebook AI Research, where I helped push forward the state-of-the-art in neural machine translation and improved our understanding of how to train deep neural nets. I completed my Ph.D. at U. of Montreal with Yoshua Bengio on the subject of scaling deep learning algorithms. My collaborators and I have won two international AI competitions with our algorithms: the Unsupervised Transfer Learning Challenge in 2011, and the EmotiW challenge in 2014.

AI Conference Talk
Fixup Initialization: Residual Learning Without Normalization