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Séminaires REPARTI


Les Séminaires REPARTI à l'Université Laval ont lieu le vendredi à 11h30.
Veuillez consulter le programme pour plus de détails.
Dec 15 2017 11:00AM
Séminaire
Building and Evaluating Data-Driven Neural Dialogue Systems

 

 

 

 

REPARTI

MIVIM

Mar 4 2010 1:30PM

Détails: tutoriel (4-5 mars 2010) / Tutorial Details (March 4-5, 2010)

Hugo Larochelle
Dept. of Computer Science, University of Toronto


Littérature : Réseaux de neurones profonds



Publications on Deep Neural Networks (suite)

Deep Learning using Robust Interdependent Codes
http://www.cs.toronto.edu/~larocheh/publications/aistats_2009_robust_interdependent.pdf

Deep Learning via Semi-Supervised Embedding
http://www.kyb.mpg.de/bs/people/weston/papers/deep_embed.pdf

Kernel Methods for Deep Learning
http://books.nips.cc/papers/files/nips22/NIPS2009_0729.pdf

Slow, Decorrelated Features for Pretraining Complex Cell-like Networks
http://books.nips.cc/papers/files/nips22/NIPS2009_0933.pdf

Automatic Identification of Instrument Classes in Polyphonic and Poly-Instrument Audio
http://ismir2009.ismir.net/proceedings/PS3-2.pdf

Reducing the Dimensionality of Data with Neural Networks
http://www.cs.toronto.edu/~hinton/science.pdf

Semantic Hashing
http://web.mit.edu/~rsalakhu/www/papers/sdarticle.pdf

Semi-supervised Learning of Compact Document Representations with Deep Networks
http://www.cs.toronto.edu/~ranzato/publications/ranzato-icml08.pdf

Learning a Nonlinear Embedding by Preserving Class Neighbourhood Structure
http://web.mit.edu/~rsalakhu/www/papers/nonlinnca.pdf

Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes
http://web.mit.edu/~rsalakhu/www/papers/nips07_gp.pdf

Implicit Mixtures of Restricted Boltzmann Machines
http://books.nips.cc/papers/files/nips21/NIPS2008_0935.pdf

3D Object Recognition with Deep Belief Nets
http://books.nips.cc/papers/files/nips22/NIPS2009_0807.pdf

Sparse deep belief net model for visual area V2
http://www.stanford.edu/~hllee/nips07-sparseDBN.pdf

Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition
http://yann.lecun.com/exdb/publis/pdf/koray-psd-08.pdf

What is the Best Multi-Stage Architecture for Object Recognition?
http://yann.lecun.com/exdb/publis/pdf/jarrett-iccv-09.pdf

A High-Throughput Screening Approach to Discovering Good Forms of Biologically-Inspired Visual Representation
http://www.ploscompbiol.org/article/fetchObjectAttachment.action;jsessionid=C15AC0134DD695C1FA4BD4E62B4EBC95?uri=info%3Adoi%2F10.1371%2Fjournal.pcbi.1000579&representation=PDF

Belief Net Learning in a Long-Range Vision System for Autonomous Off-Road Driving
http://yann.lecun.com/exdb/publis/pdf/hadsell-iros-08.pdf

Deep Learning from Temporal Coherence in Video
http://www.kyb.tuebingen.mpg.de/bs/people/weston/papers/embedvideo.pdf

suite à la page 3




     
   
   

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