Yann LeCun
homepage:http://yann.lecun.com/
search externally:   Google Scholar,   Springer,   CiteSeer,   Microsoft Academic Search,   Scirus ,   DBlife

Description

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.


Lectures:

keynote
flag It´s Learning All the Way Down
as author at  International Conference on Computer Vision (ICCV) 2015, Santiago,
544 views
  keynote
flag 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,
3406 views
invited talk
flag Learning Representations: A Challenge for Learning Theory
as author at  26th Annual Conference on Learning Theory (COLT), Princeton 2013,
3498 views
  lecture
flag Discussion of Erik Sudderth's talk: NPB Hype or Hope?
as author at  Bayesian Nonparametric Methods: Hope or Hype?,
883 views
tutorial
flag Tutorial on Learning Deep Architectures
as author at  Workshops,
together with: Yoshua Bengio,
6111 views
  lecture
flag 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,
286 views
lecture
flag Learning Feature Hierarchies
as author at  Machine Learning Summer School (MLSS), Chicago 2009,
1175 views
  lecture
flag 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),
436 views
interview
flag Interview with Yann LeCun
as author at  NIPS Workshop on Efficient Machine Learning, Whistler 2007,
1254 views
  lecture
flag Who is Afraid of Non-Convex Loss Functions?
as author at  NIPS Workshop on Efficient Machine Learning, Whistler 2007,
5282 views
invited talk
flag Learning Similarity Metrics with Invariance Properties
as author at  NIPS Workshop on Learning to Compare Examples, Whistler 2006,
813 views
  debate
flag 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),
159 views
debate
flag 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),
238 views
  debate
flag 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),
544 views
lecture
flag Energy-based models & Learning for Invariant Image Recognition
as author at  Machine Learning Summer School (MLSS), Chicago 2005,
1275 views