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Deep Learning and Representation Learning Workshop: NIPS 2014Home page for the NIPS 2014 deep learning workshop.
http://www.dlworkshop.org/
Home page for the NIPS 2014 deep learning workshop.
http://www.dlworkshop.org/
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Deep Learning and Representation Learning Workshop: NIPS 2014 | dlworkshop.org Reviews
https://dlworkshop.org
Home page for the NIPS 2014 deep learning workshop.
dlworkshop.org
Invited Speakers - Deep Learning and Representation Learning Workshop: NIPS 2014
http://www.dlworkshop.org/invited-speakers-1
Deep Learning and Representation Learning Workshop: NIPS 2014. The following speakers will be presenting at the workshop:. Phil Blunsom (Oxford U.). Herbert Jaeger (Jacobs U. Bremen). Vlad Mnih (Google DeepMind). Surya Ganguli (Stanford U.).
Schedule - Deep Learning and Representation Learning Workshop: NIPS 2014
http://www.dlworkshop.org/schedule
Deep Learning and Representation Learning Workshop: NIPS 2014. 8:30- 9:00 (invited talk) Phil Blunsom (Oxford U.):. Natural Language Understanding in a Continuous Space. 9:00- 9:30 (accepted oral) Geoffrey Hinton: Distilling Knowledge in a Neural Network. 9:30-10:00 (invited talk) Herbert Jaeger (Jacobs U. Bremen): Connecting RNN Layers: Bottom-up Classification united with Top-Down Control. Coffee Break 10:00 - 10:30. 11:10-11:30 (accepted oral) Zhuowen Tu: Deeply-Supervised Nets.
Program Committee - Deep Learning and Representation Learning Workshop: NIPS 2014
http://www.dlworkshop.org/program-committee
Deep Learning and Representation Learning Workshop: NIPS 2014. Yoshua Bengio (U. Montreal). Roland Memisevic (U. Montreal). Andrew Ng (Stanford / Baidu). Daan Wierstra (Google DeepMind).
Submission - Deep Learning and Representation Learning Workshop: NIPS 2014
http://www.dlworkshop.org/submission
Deep Learning and Representation Learning Workshop: NIPS 2014. Please submit camera-ready papers to CMT by Dec. 3, 11:59PM (pacific time), 2014. Https:/ cmt.research.microsoft.com/DLW2014/. Submission deadline for papers has passed. (. Oct 1, 11:59PM (pacific time), 2014 ). Https:/ cmt.research.microsoft.com/DLW2014/.
Accepted papers - Deep Learning and Representation Learning Workshop: NIPS 2014
http://www.dlworkshop.org/accepted-papers
Deep Learning and Representation Learning Workshop: NIPS 2014. CuDNN: Efficient Primitives for Deep Learning (#49). Sharan Chetlur, Cliff Woolley, Philippe Vandermersch, Jonathan Cohen, John Tran, Bryan Catanzaro, Evan Shelhamer. Distilling the Knowledge in a Neural Network (#65). Geoffrey Hinton, Oriol Vinyals, Jeff Dean. Supervised Learning in Dynamic Bayesian Networks (#54). Shamim Nemati, Ryan Adams. Chen-Yu Lee, Saining Xie, Patrick Gallagher, Zhengyou Zhang, Zhuowen Tu. Ozan Irsoy, Ethem Alpaydin.
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Gigaom | What we read about deep learning is just the tip of the iceberg
https://gigaom.com/2014/12/15/what-we-read-about-deep-learning-is-just-the-tip-of-the-iceberg
The industry leader in emerging technology research. What we read about deep learning is just the tip of the iceberg. Dec 15, 2014 - 11:05 AM PDT. Credit: Ri han / Shutterstock. The artificial intelligence technique known as deep learning is white hot right now, as we have noted numerous times before. It’s powering many of the advances in computer vision, voice recognition and text analysis at companies including Google, Facebook, Microsoft and Baidu. For certain types of deep learning algorithms. Where ...
Yoshua Bengio
http://www.iro.umontreal.ca/~bengioy
Community, and at Google. Announcing the Deep Learning Summer School 2016. More research highlights and selected recent papers. Recruitment: there are available positions. At all levels (MSc, PhD, post-doc, interns). Nature paper on Deep Learning. By Yann LeCun, Yoshua Bengio and Geoff Hinton (pdf). NIPS'2015 Deep Learning Tutorial. And the block of slides for the vision part. NIPS'2014 Deep Learning and Representation Learning Workshop. Deep Learning - an MIT Press book in preparation. His main research...
Yoshua Bengio
http://www.iro.umontreal.ca/~bengioy/yoshua_en/index.html
Community, and at Google. Announcing the Deep Learning Summer School 2016. More research highlights and selected recent papers. Recruitment: there are available positions. At all levels (MSc, PhD, post-doc, interns). Nature paper on Deep Learning. By Yann LeCun, Yoshua Bengio and Geoff Hinton (pdf). NIPS'2015 Deep Learning Tutorial. And the block of slides for the vision part. NIPS'2014 Deep Learning and Representation Learning Workshop. Deep Learning - an MIT Press book in preparation. His main research...
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Deep Learning and Representation Learning Workshop: NIPS 2014
Deep Learning and Representation Learning Workshop: NIPS 2014. The NIPS 2014 Deep Learning and Representation Learning Workshop will be held Friday, December 12, 2014. It is the continuation of the Deep Learning Workshop held in previous years at NIPS. See the Call for Papers. Mount Royal Montreal Lookout.jpg. By Diliff / used under CC Attribution-ShareAlike 3.0. Reduced size, compressed.
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