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

[Yoshua Bengio]

Hello,

A few slight changes on the call for submissions:

  - submission deadline pushed 5 days to Sept. 21st
  - acceptance decision pushed 3 days to Oct. 10th
  - 8-page limit strongly encouraged but not enforced
  - we have been scheduled for Satuday the 8th of December

-- Yoshua

On 2012-08-22, at 16:14, Quoc V. Le wrote:

> 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
> ------------------------------------
> 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

-------------- next part --------------
An HTML attachment was scrubbed...
URL: https://mailman.srv.cs.cmu.edu/mailman/private/connectionists/attachments/20120913/5d55037a/attachment-0001.html