Yann Dauphin

28 papers and 3.3k indexed citations i.

Yann Dauphin has authored 28 papers that have received a total of 3.3k indexed citations. This includes 26 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 3 papers in Computational Mechanics. The topics of these papers are Topic Modeling (10 papers), Domain Adaptation and Few-Shot Learning (8 papers) and Natural Language Processing Techniques (8 papers). Yann Dauphin is often cited by papers focused on Topic Modeling (10 papers), Domain Adaptation and Few-Shot Learning (8 papers) and Natural Language Processing Techniques (8 papers) and collaborates with scholars based in United States, Canada and Israel. Yann Dauphin's co-authors include Yoshua Bengio, Michael Auli, Pascal Vincent, David Grangier and Larry Heck and has published in prestigious journals such as PLoS ONE, IEEE/ACM Transactions on Audio Speech and Language Processing and Journal on Multimodal User Interfaces