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Seminars |  |
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04-03-2010
Hugo Larochelle Literature : Deep Neural NetworksPublications on Deep Neural Networks (cont.)
Deep Learning using Robust Interdependent Codes
Deep Learning via Semi-Supervised Embedding
Kernel Methods for Deep Learning
Slow, Decorrelated Features for Pretraining Complex Cell-like Networks
Automatic Identification of Instrument Classes in Polyphonic and Poly-Instrument Audio
Reducing the Dimensionality of Data with Neural Networks
Semantic Hashing
Semi-supervised Learning of Compact Document Representations with Deep Networks
Learning a Nonlinear Embedding by Preserving Class Neighbourhood Structure
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes
Implicit Mixtures of Restricted Boltzmann Machines
3D Object Recognition with Deep Belief Nets
Sparse deep belief net model for visual area V2
Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition
What is the Best Multi-Stage Architecture for Object Recognition?
A High-Throughput Screening Approach to Discovering Good Forms of Biologically-Inspired Visual Representation
Belief Net Learning in a Long-Range Vision System for Autonomous Off-Road Driving
Deep Learning from Temporal Coherence in Video
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