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Description
Antoine Bordes is a staff research scientist at Facebook Artificial Intelligence Research. Prior to joining Facebook in 2014, he was a CNRS staff researcher in the Heudiasyc laboratory of the University of Technology of Compiegne in France. In 2010, he was a postdoctoral fellow in Yoshua Bengio's lab of University of Montreal. He received his PhD in machine learning from Pierre & Marie Curie University in Paris in early 2010. From 2004 to 2009, he collaborated regularly with the Machine Learning department of NEC Labs of America in Princeton. He received two awards for best PhD from the French Association for Artificial Intelligence and from the French Armament Agency, as well as a Scientific Excellence Scholarship awarded by CNRS in 2013. Antoine is a pioneer in the use of embedding models for modeling knowledge bases and co-authored many papers on the topic in recent years. He is also a specialist of natural language processing, deep learning and large-scale learning.
Lectures:
tutorial![]() ![]() as author at 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), New York 2014, together with: Evgeniy Gabrilovich, 14334 views |
lecture![]() as author at Language Learning, 4294 views |
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lecture![]() as author at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Antwerp 2008, together with: Nicolas Usunier, Léon Bottou, 4402 views |
lecture![]() as author at Workshops, 6397 views |
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lecture![]() as author at NIPS Workshop on Efficient Machine Learning, Whistler 2007, 3485 views |