Yann LeCun is the Silver Professor of Computer Science, Neural Science, and Electrical and Computer Engineering,
The Courant Institute of Mathematical Sciences, New-York University. He has made contributions in machine learning, computer vision, mobile robotics and computational neuroscience. He is well known for his work on optical character recognition and computer vision using convolutional neural networks. He is also one of the main creators of the DjVu image compression technology (together with Léon Bottou and Patrick Haffner). He co-developed the Lush programming language with Léon Bottou.
Yann LeCun is general chair and organizer of the "Learning Workshop" held every year since 1986 in Snowbird, Utah. He is a member of the Science Advisory Board of the Institute for Pure and Applied Mathematics at UCLA, and a scientific adviser of KXEN Inc., and Vidient Systems.
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keynote
It´s Learning All the Way Down
as author at International Conference on Computer Vision (ICCV) 2015, Santiago,
5980 views
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keynote
The Unreasonable Effectivness Of Deep Learning
as author at 1st UCL-Duke University Workshop on Sensing and Analysis of High-Dimensional Data (SAHD), London 2014,
40823 views
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invited talk
Learning Representations: A Challenge for Learning Theory
as author at 26th Annual Conference on Learning Theory (COLT), Princeton 2013,
20448 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?,
11118 views
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tutorial
Tutorial on Learning Deep Architectures
as author at Workshops,
together with:
Yoshua Bengio,
41191 views
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lecture
Awards Session
as presenter at 26th International Conference on Machine Learning (ICML), Montreal 2009,
together with:
Michael Littman (moderator),
Léon Bottou (presenter),
Andrea Pohoreckyj Danyluk (presenter),
Thorsten Joachims,
4161 views
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lecture
Learning Feature Hierarchies
as author at Machine Learning Summer School (MLSS), Chicago 2009,
9435 views
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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:
Raia Hadsell (coauthor),
Pierre Sermanet,
Marco Scoffier (coauthor),
Jan Ben (coauthor),
Chris Crudele (coauthor),
Urs Muller (coauthor),
Ayse Erkan (coauthor),
Matthew Koichi Grimes (coauthor),
5731 views
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interview
Interview with Yann LeCun
as author at NIPS Workshop on Efficient Machine Learning, Whistler 2007,
9512 views
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lecture
Who is Afraid of Non-Convex Loss Functions?
as author at NIPS Workshop on Efficient Machine Learning, Whistler 2007,
46370 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,
9949 views
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debate
Lunch debate 25.5.2005
as coauthor at Machine Learning Summer School (MLSS), Chicago 2005,
together with:
Robert Schapire (coauthor),
John Langford (coauthor),
Yasemin Altun (coauthor),
Yoram Singer (coauthor),
David McAllester (coauthor),
5453 views
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debate
Lunch debate 24.5.2005
as coauthor at Machine Learning Summer School (MLSS), Chicago 2005,
together with:
Mikhail Belkin (coauthor),
Robert Schapire (coauthor),
John Langford (coauthor),
Yoram Singer (coauthor),
5146 views
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debate
Lunch debate 23.5.2005
as coauthor at Machine Learning Summer School (MLSS), Chicago 2005,
together with:
Sanjoy Dasgupta (coauthor),
David McAllester (coauthor),
John Langford (coauthor),
Yasemin Altun (coauthor),
Zoubin Ghahramani (coauthor),
Partha Niyogi (coauthor),
6857 views
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lecture
Energy-based models & Learning for Invariant Image Recognition
as author at Machine Learning Summer School (MLSS), Chicago 2005,
13319 views
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Springer,
