Antoine Bordes
search externally:   Google Scholar,   Springer,   CiteSeer,   Microsoft Academic Search,   Scirus ,   DBlife

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
locked flag Constructing and Mining Web-Scale Knowledge Graphs
as author at  20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), New York 2014,
together with: Evgeniy Gabrilovich,
1206 views
  lecture
flag LaRank, SGD-QN - Fast Optimizers for Linear SVM
as author at  Workshops,
588 views
lecture
flag Learning to Disambiguate Natural Language Using World Knowledge
as author at  Language Learning,
247 views
  lecture
flag Large Scale Sequence Labelling
as author at  NIPS Workshop on Efficient Machine Learning, Whistler 2007,
215 views
lecture
flag Sequence Labelling SVMs Trained in One Pass
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,
196 views