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Neural Computation & Adaptive Perception Summer School
August 7-11, 2007
This summer school is organized as part of the
Neural Computation & Adaptive Perception research program of CIFAR .Machine Learning group at the Department of Computer Science , University of Toronto .
Tutorials
Geoffrey Hinton, "An efficient way to learn deep generative models" [Slides (updated) ], "Hierarchies of RBMs" [Slides ] Yoshua Bengio, "Deep Architectures for Baby AI" [Slides ] Bruno A. Olshausen, "Things we know, and don't know, about biological vision" [Slides (Part 1) , Slides (Part 2) ] Hugh R. Wilson, "Binocular Rivalry: Waves, Hysteresis and Perceptual Memory" [Slides ], "Nonlinear Dynamics and Vision" [Slides ] Yair Weiss, Lightness Perception and Lightness Illusions , Moving Rhombus Displays.
Talks
Ruslan Salakhutdinov, "Semantic Hashing" [Slides ] Pascal Lamblin, "Training Convolution RBMs" [Slides ] Andriy Mnih, "Three New Models for Statistical Language Modelling" [Slides ] Raia Hadsell, "Online Learning for Offroad Robots: Using Spatial Label Propagation to Learn Long-Range Traversability" [Slides ] James Bergstra, "Learning Long Sequences with TRBMs" [Slides ] Ilya Sutskever, "Modelling Sequences using Temporal Restricted Boltzmann Machines" [Slides ] Mohammad Emtiyaz Khan, "Multi-Scale Structure Learning" [Slides ] Matthew Grimes, "Energy-Based Visual SLAM for Outdoor Robotics" [Slides , Movie ] Sumit Chopra, "Discovering Hidden Structure of House Prices with Relational Latent Manifold Model" [Slides ] Kristen Fortney, "Learning without synaptic change: a mechanism for sensorimotor control" [Slides ] Dumitru Erhan, "An Empirical Evaluation of Deep Architectures on Problems with Many Factors of Variation" [Slides ] Jerome Louradour, "Learning the human world with Deep Belief Networks" [Slides ] Siwei Lyu, "Modeling Images with Field of Gaussian Scale Mixtures" [Slides ] Danny Tarlow, "Learning Articulated Skeletons From Motion" [Slides ] Jascha Sohl-Dickstein, "Cooperative Energy Hierarchy" [Slides ] Jimmy Wang, "Learning Overcomplete Subspace Structures on Natural Speech Signal" [Slides ] Nicolas Heess, "Adaptive Coding of Motion in Macaque Visual Cortex" [Slides ] Inmar Givoni, "Semi-supervised Affinity Propagation" [Slides ] Renqiang Min, "Kernel Learning Using Neural Networks" [Slides ] Olivier Delalleau, "Parallel Stochastic Gradient Descent" [Slides ] David F. Nichols, "Comparison of interocular suppression for binocular rivalry and flash suppression" [Slides ]