ICML 2014: Call for Tutorial Proposals
Important dates
* Tutorial proposal deadline Feb 21, 2014
* Acceptance notification Mar 8, 2014
* Tutorials June 21, 2014
* Contact: rsala...@cs.toronto.edu
The ICM
ICML 2014: Call for Tutorial Proposals
Important dates
* Tutorial proposal deadline Feb 21, 2014
* Acceptance notification Mar 8, 2014
* Tutorials June 21, 2014
* Contact: rsala...@cs.toronto.edu
The ICML
Sherbrooke)
Ruslan Salakhutdinov (University of Toronto)
https://sites.google.com/site/deeplearningworkshopnips2013/
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The Neural Information Processing Systems Conference 2013
http://nips.cc/Conferences/2013/ has a Demonstration Track running in
parallel with the evening Poster Sessions, December 5-7, 2013, in Lake
Tahoe, Nevada, USA.
Demonstration Proposal Deadline: Monday September 16, 2013, 11pm Univers
Sherbrooke)
Ruslan Salakhutdinov (University of Toronto)
https://sites.google.com/site/deeplearningworkshopnips2013/
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The Neural Information Processing Systems Conference 2013
http://nips.cc/Conferences/2013/ has a Demonstration Track running in
parallel with the evening Poster Sessions, December 5-7, 2013, in Lake
Tahoe, Nevada, USA.
Demonstration Proposal Deadline: Monday September 16, 2013, 11pm Univers
, Ecole Centrale Paris
Ruslan Salakhutdinov, University of Toronto
Sameer Singh, University of Massachusetts, Amherst
Michael Wick, University of Massachusetts, Amherst
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The Neural Information Processing Systems Conference 2013
http://nips.cc/Conferences/2013/ has a Demonstration Track running in
parallel with the evening Poster Sessions, December 5-7, 2013, in Lake
Tahoe, Nevada, USA.
Demonstration Proposal Deadline: Monday September 16, 2013, 11pm Universa
Michael Wick, University of Massachusetts, Amherst
Sameer Singh, University of Massachusetts, Amherst
Ruslan Salakhutdinov, University of Toronto
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l deadline: Saturday, March 10, 2012
Acceptance notification: Saturday, April 7, 2012
http://www.auai.org/uai2012/workshops.shtml
Ruslan Salakhutdinov
Workshop Chair UAI 2012
Contact: uaiworksh...@gmail.com
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f transfer learning
* applications of hierarchical models to large scale datasets
Organizers
--
Quoc V. Le, Computer Science Department, Stanford University
Marc'Aurelio Ranzato, Google Inc
Ruslan Salakhutdinov, Department of Statistics, University of Toronto
Andrew Ng, Computer Scie
eling high-dimensional
real-world distributions (e.g. the distribution of natural images)?
Organizers
------
Ruslan Salakhutdinov, MIT
Ryan Adams, University of Toronto
Josh Tenenbaum, MIT
Zoubin Ghahramani, University of Cambridge
Tom Griffiths, University of California, Ber
eling
high-dimensional real-world distributions (e.g. the distribution of
natural images)?
Organizers
------
Ruslan Salakhutdinov, MIT
Ryan Adams, University of Toronto
Josh Tenenbaum, MIT
Zoubin Ghahramani, University of Cambridge
Tom Griffiths, University of California, Ber
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