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Graduate Summer School: Deep Learning, Feature Learning
July 9 - 27, 2012
Organizing Committee |
Scientific Overview |
Speaker List
Application/Registration |
Contact Us
Organizing Committee
Yoshua Bengio
(University of Montreal, Canadian Institute for Advanced Research)
Geoffrey Hinton
(University of Toronto, Canadian Institute for Advanced Research)
Yann LeCun
(New York University, Canadian Institute for Advanced Research)
Andrew Ng
(Stanford University, Canadian Institute for Advanced Research)
Stanley Osher
(University of California, Los Angeles (UCLA))
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Scientific Overview
One of the challenges for machine learning, AI, and computational neuroscience is the problem
of learning representations of the perceptual world. This summer school will review recent
developments in feature learning and learning representations, with a particular emphasis on
"deep learning" methods, which can learn multi-layer hierarchies of representations.
Topics will include unsupervised learning methods such as stacked restricted Boltzmann
machines, sparse coding, denoising auto-encoders, and methods for learning over-complete
representations; supervised methods for deep architectures, metric learning criteria
for vector-space embeddings; deep convolutional architectures and their applications to
images, video, audio, and text; compositional hierarchies and latent-variable models.
Mathematical issues will be addressed, particularly how to characterize the low-dimensional
structure of natural data in high-dimensional spaces; training density models with
intractable partition functions; the geometry of non-convex and ill-conditioned loss
functions for deep learning; efficient optimization methods for inference and deep learning;
the representational efficiency of deep architectures, and the advantages of high-dimensional
and over-complete representations.
The Canadian Institute for Advanced Research (CIFAR) is cosponsoring the program. Ten students
associated with CIFAR’s Neural Computation and Adaptive Perception (NCAP) Program will participate
with CIFAR support.
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Confirmed Speakers
Yoshua Bengio
(University of Montreal, Canadian Institute for Advanced Research)
James Bergstra
(Harvard University)
Nando de Freitas
(University of British Columbia, Canadian Institute for Advanced Research)
Clement Farabet
(New York University)
Rob Fergus
(New York University, Canadian Institute for Advanced Research)
Geoffrey Hinton
(University of Toronto, Canadian Institute for Advanced Research)
Yann LeCun
(New York University, Canadian Institute for Advanced Research)
Stéphane Mallat
(École Polytechnique)
Roland Memisevic
(Johann Wolfgang Goethe-Universität Frankfurt)
Jason Morton
(Pennsylvania State University)
Iain Murray
(University of Edinburgh)
Andrew Ng
(Stanford University, Canadian Institute for Advanced Research)
Jorge Nocedal
(Northwestern University)
Bruno Olshausen
(University of California, Berkeley (UC Berkeley), Canadian Institute for Advanced Research)
Stanley Osher
(University of California, Los Angeles (UCLA))
Marc'Aurelio Ranzato
(Google Inc., Computer Science)
Ruslan Salakhutdinov
(University of Toronto, Canadian Institute for Advanced Research)
Thomas Serre
(Brown University)
Arthur Szlam
(New York University, Courant Institute of Mathematical Science)
Graham Taylor
(University of Guelph)
Jason Weston
(Google Research)
Stephen Wright
(University of Wisconsin-Madison, Computer Science)
Kai Yu
(Baidu Inc.)
Alan Yuille
(University of California, Los Angeles (UCLA), Statistics)
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Contact Us:
Institute for Pure and Applied Mathematics (IPAM)
Attn: GSS2012
460 Portola Plaza
Los Angeles CA 90095-7121
Phone: 310 825-4755
Fax: 310 825-4756
Email: 
Website:
http://www.ipam.ucla.edu/programs/gss2012/
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