Connectionists: Call for Papers - Deep Learning and Unsupervised Feature Learning Workshop at NIPS 2012

[Quoc V. Le]

Call for Papers: Deep Learning and Unsupervised Feature Learning Workshop
held in conjunction with Neural Information Processing Systems (NIPS 2012)

December 7 or 8 (TBD), 2011, Lake Tahoe, Nevada, USA.
https://sites.google.com/site/deeplearningnips2012/

Overview
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In recent years, there has been a lot of interest in algorithms that learn
feature representations from unlabeled data.  Deep learning algorithms such
as deep belief networks, sparse coding-based methods, autoencoder variants,
convolutional networks, ICA methods, and deep Boltzmann machines have shown
promise and have already been successfully applied to a variety of tasks in
computer vision, audio processing, natural language processing, information
retrieval, and robotics.  In this workshop, we will bring together
researchers who are interested in deep learning and unsupervised feature
learning, 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. Through invited talks, panel discussions and
presentations by the participants, this workshop attempts to address some
of the more controversial topics in deep learning today, such as what is a
good representation, how it could be learned, and what obstacles need to be
addressed in future research. Panel discussions will be led by the members
of the organizing committee as well as by prominent representatives of the
vision and neuroscience communities.

The goal of this workshop is two-fold. First, we want to identify the
next big challenges and propose research directions for the deep
learning community. Second, we want to bridge the gap between
researchers working on different (but related) fields, to leverage
their expertise, and to encourage the exchange of ideas with all the
other members of the NIPS community.

Dates
------------------------------------
- Submission deadline: September 16, 2012
- Acceptance notification: October 7, 2012
- Workshop date: December 7 or 8, 2012 (TBD)

A tentative schedule is available at:
https://sites.google.com/site/deeplearningnips2012/

Submissions
------------------------------------
We solicit submissions of unpublished research papers. Papers should
be at most 8 pages (plus 1 additional page containing references only)
and must satisfy the formatting instructions of the NIPS 2012 call for
papers. Style files are available at
http://nips.cc/PaperInformation/StyleFiles.
Please note that the reviewing is double blind, so your manuscript
should not contain authors’ identifying information. Papers should be
submitted through https://cmt.research.microsoft.com/DL2012/ no later
than 23:59 EST on Sunday, September 16, 2012.

We encourage submissions on the following and related topics:
   * unsupervised feature learning algorithms
   * deep learning algorithms
   * semi-supervised and transfer learning algorithms
   * inference and optimization
   * theoretical foundations of unsupervised learning
   * theoretical foundations of deep learning
   * applications of deep learning and unsupervised feature learning
The best papers will be awarded by an oral presentation, all other
accepted papers will have a poster presentation accompanied by a short
spotlight presentation.

Organizers
------------------------------------
* Yoshua Bengio, University of Montreal
* James Bergstra, Harvard University
* Quoc V. Le, Stanford University
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