Sylvain Gelly
About
Sylvain Gelly has authored 41 papers that have received a total of 1.4k indexed citations.
This includes 34 papers in Artificial Intelligence, 19 papers in Computer Vision and Pattern Recognition and 7 papers in Economics and Econometrics. The topics of these papers are Domain Adaptation and Few-Shot Learning (10 papers), Generative Adversarial Networks and Image Synthesis (10 papers) and Reinforcement Learning in Robotics (8 papers). Sylvain Gelly is often cited by papers focused on Domain Adaptation and Few-Shot Learning (10 papers), Generative Adversarial Networks and Image Synthesis (10 papers) and Reinforcement Learning in Robotics (8 papers) and collaborates with scholars based in United States, Germany and France. Sylvain Gelly's co-authors include Mario Lučić, Olivier Bachem, Neil Houlsby, Xiaohua Zhai and Olivier Bousquet and has published in prestigious journals such as Communications of the ACM, Artificial Intelligence and Neural Networks.
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