Connectionists: NIPS 2013 Deep Learning Workshop

Ruslan Salakhutdinov rsalakhu at cs.toronto.edu
Thu Sep 26 20:20:49 EDT 2013




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CALL FOR PAPERS

NIPS 2013 Deep Learning Workshop
December 9th or 10th, 2013 Lake Tahoe, USA.
https://sites.google.com/site/deeplearningworkshopnips2013/

Important dates:
  Submission deadline: October 9th, 2013
  Acceptance notification: October 23rd, 2013

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Overview:

Deep Learning algorithms attempt to discover good representations, at 
multiple levels of abstraction. There has been rapid progress in this area 
in recent years, both in terms of algorithms and in terms of applications, 
but many challenges remain. In this workshop, we will bring together 
researchers interested in deep learning to review the recent technical 
progress, discuss the challenges, and identify promising future research 
directions.

The workshop invites paper submissions that will be either presented as 
oral or in poster format. We encourage submissions on the following 
(non-exhaustive) list of topics:

* deep learning algorithms and models (dropout, deep Boltzmann machines, 
recurrent neural network, etc.)
* unsupervised feature learning models (restricted Boltzmann machines, 
autoencoders, sparse coding, etc.)
* inference and optimization algorithms
* semi-supervised and transfer learning algorithms
* theoretical foundations of unsupervised / deep learning
* applications of deep learning (convolutional networks, word and sentence 
representation models, etc.)

Through invited talks, a panel discussion and presentations by the 
participants, this workshop will showcase the latest advances in deep 
learning and address questions that are at the center of current deep 
learning research (what roles do stochasticity/unsupervised 
learning/optimization play in deep learning, what are the desiderata for 
models of images/text/speech, etc.). Panel discussions will be led by the 
members of the organizing committee as well as by prominent 
representatives of the machine learning, computer vision and natural 
language processing communities.


Submissions:

We solicit submissions of unpublished research papers. Authors are encouraged 
to restrict themselves to 8 pages (plus 1 additional page containing references 
only) and must satisfy the formatting instructions of the NIPS 2013 call for 
papers. Style files are available at 
http://nips.cc/PaperInformation/StyleFiles.

More details on the submission process will be posted shortly. The best papers 
will be awarded by an oral presentation, all other accepted papers will have a 
poster presentation.


Workshop Organizers:
Yoshua Bengio (Universite de Montreal)
Hugo Larochele (Universite de Sherbrooke)
Ruslan Salakhutdinov (University of Toronto)

https://sites.google.com/site/deeplearningworkshopnips2013/




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