| homepage: | http://yann.lecun.com/ |
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Description
My main research interests are Machine Learning, Computer Vision, Mobile Robotics, Computational Neuroscience. I am also interested in Data Compression, Digital Libraries, the Physics of Computation, and all the applications of machine learning (Vision, Speech, Language, Document understanding, Data Mining, Bioinformatics).
Lectures:
tutorial
Tutorial on Learning Deep Architectures
as author at Workshops, together with: Yoshua Bengio, 3144 views |
lecture
Who is Afraid of Non-Convex Loss Functions?
as author at NIPS Workshop on Efficient Machine Learning, Whistler 2007, 2516 views |
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lecture
Discussion of Erik Sudderth's talk: NPB Hype or Hope?
as author at Bayesian Nonparametric Methods: Hope or Hype?, 424 views |
lecture
Learning Feature Hierarchies
as author at Machine Learning Summer School (MLSS), Chicago 2009, 813 views |
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interview
Interview with Yann LeCun
as author at NIPS Workshop on Efficient Machine Learning, Whistler 2007, 974 views |
lecture
Energy-based models & Learning for Invariant Image Recognition
as author at Machine Learning Summer School (MLSS), Chicago 2005, 805 views |
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invited talk
Learning Similarity Metrics with Invariance Properties
as author at NIPS Workshop on Learning to Compare Examples, Whistler 2006, 655 views |
debate
Lunch debate 23.5.2005
as coauthor at Machine Learning Summer School (MLSS), Chicago 2005, together with: Partha Niyogi (coauthor), Zoubin Ghahramani (coauthor), Yasemin Altun (coauthor), John Langford (coauthor), David McAllester (coauthor), Sanjoy Dasgupta (coauthor), 419 views |
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lecture
Awards Session
as presenter at 26th International Conference on Machine Learning (ICML), Montreal 2009, together with: Thorsten Joachims, Andrea Pohoreckyj Danyluk (presenter), Léon Bottou (presenter), Michael Littman (moderator), 249 views |
lecture
10. DARPA LAGR Program: Learning Applied to Long-Range Vision using a Collision-Free Navigation Platform
as coauthor at AAAI 2008: AI Video Competition, together with: Matthew Koichi Grimes (coauthor), Ayse Erkan (coauthor), Urs Muller (coauthor), Chris Crudele (coauthor), Jan Ben (coauthor), Marco Scoffier (coauthor), Pierre Sermanet, Raia Hadsell (coauthor), 321 views |
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debate
Lunch debate 24.5.2005
as coauthor at Machine Learning Summer School (MLSS), Chicago 2005, together with: Yoram Singer (coauthor), John Langford (coauthor), Robert Schapire (coauthor), Mikhail Belkin (coauthor), 178 views |
debate
Lunch debate 25.5.2005
as coauthor at Machine Learning Summer School (MLSS), Chicago 2005, together with: David McAllester (coauthor), Yoram Singer (coauthor), Yasemin Altun (coauthor), John Langford (coauthor), Robert Schapire (coauthor), 108 views |
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Tutorial on Learning Deep Architectures








