Table of Contents
Structured Learning Systems
Change this skeleton into text
Motivations
Structured Outputs and Weak Supervision
Engineering Modular Learning Systems
Research
Global Training of Modular Learning Systems
The "Label Bias Problem" and its Resolution
Graph Transformer Networks
Tutorials
- The slides about Graph Transformer Networks.
- The tutorial Energy Based Learning by Yann LeCun and his NYU collaborators.
Publications
Léon Bottou and Patrick Gallinari: A Framework for the Cooperation of Learning Algorithms, Advances in Neural Information Processing Systems, 3, Edited by D. Touretzky and R. Lippmann, Morgan Kaufmann, Denver, 1991.
Léon Bottou: Une Approche théorique de l'Apprentissage Connexionniste: Applications à la Reconnaissance de la Parole, Orsay, France, 1991.
Xavier Driancourt, Léon Bottou and Patrick Gallinari: Learning Vector Quantization, Multi Layer Perceptron and Dynamic Time Warping: Comparison and Cooperation, Proceedings of the International Joint Conference on Neural Networks, Seattle, 1991.
Léon Bottou, Yann Le Cun and Yoshua Bengio: Global Training of Document Processing Systems using Graph Transformer Networks, Proc. of Computer Vision and Pattern Recognition, 489-493, IEEE, Puerto-Rico, 1997.
Yann Le Cun, Léon Bottou and Yoshua Bengio: Reading Checks with graph transformer networks, International Conference on Acoustics, Speech, and Signal Processing, 1:151-154, IEEE, Munich, 1997.
Yann Le Cun, Léon Bottou, Yoshua Bengio and Patrick Haffner: Gradient Based Learning Applied to Document Recognition, Proceedings of IEEE, 86(11):2278-2324, 1998.
Yann Le Cun, Patrick Haffner, Léon Bottou and Yoshua Bengio: Object Recognition with Gradient-Based Learning, Feature Grouping, Edited by David Forsyth, Springer Verlag, 1999.
Léon Bottou and Yann LeCun: Graph Transformer Networks for Image Recognition, Bulletin of the International Statistical Institute (ISI), 2005.
Léon Bottou: From Machine Learning to Machine Reasoning, arXiv:1102.1808, February 2011.