-------- Weitergeleitete Nachricht --------
DeepLearn 2017: early registration March 24
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INTERNATIONAL SUMMER SCHOOL ON DEEP LEARNING
DeepLearn 2017
Bilbao, Spain
July 17-21, 2017
Organized by:
University of Deusto
Rovira i Virgili University
http://grammars.grlmc.com/DeepLearn2017/
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--- Early registration deadline: March 24, 2017 ---
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SCOPE:
DeepLearn 2017 will be a research training event with a global
scope aiming at updating participants about the most recent
advances in the critical and fast developing area of deep
learning. This is a branch of artificial intelligence covering a
spectrum of current exciting machine learning research and
industrial innovation that provides more efficient algorithms to
deal with large-scale data in neuroscience, computer vision,
speech recognition, language processing, drug discovery,
biomedical informatics, recommender systems, learning theory,
robotics, games, etc. Renowned academics and industry pioneers
will lecture and share their views with the audience.
Most deep learning subareas will be displayed, and main challenges
identified through 4 keynote lectures, 30 six-hour courses, and 1
round table, which will tackle the most active and promising
topics. The organizers are convinced that outstanding speakers
will attract the brightest and most motivated students.
Interaction will be a main component of the event. An open session
will give participants the opportunity to present their own work
in progress in 5 minutes.
ADDRESSED TO:
In principle, graduate students, doctoral students and postdocs
will be typical profiles of participants. However, there are no
formal pre-requisites for attendance in terms of academic degrees.
Since there will be a variety of levels, specific knowledge
background may be assumed for some of the courses. DeepLearn 2017
is also appropriate for more senior academics and practitioners
who want to keep themselves updated on recent developments and
future trends. All will surely find it fruitful to listen and
discuss with major researchers, industry leaders and innovators.
REGIME:
In addition to keynotes, 3-4 courses will run in parallel during
the whole event. Participants will be able to freely choose the
courses they wish to attend as well as to move from one to
another.
VENUE:
DeepLearn 2017 will take place in Bilbao, the largest city in the
Basque Country, famous for its gastronomy and the seat of the
Guggenheim Museum. The venue will be:
DeustoTech, School of Engineering
University of Deusto
Avda. Universidades, 24
48014 Bilbao, Spain
KEYNOTE SPEAKERS: (to be completed)
Richard Socher (Salesforce), Tackling the Limits of Deep Learning
PROFESSORS AND COURSES:
Narendra Ahuja (University of Illinois, Urbana-Champaign),
[introductory/intermediate] Basics of Deep Learning with
Applications to Image Processing, Pattern Recognition and Computer
Vision
Pierre Baldi (University of California, Irvine),
[intermediate/advanced] Deep Learning: Theory and Applications to
the Natural Sciences
Sven Behnke (University of Bonn), [intermediate] Visual Perception
using Deep Convolutional Neural Networks
Mohammed Bennamoun (University of Western Australia),
[introductory/intermediate] Deep Learning for Computer Vision
Hervé Bourlard (Idiap Research Institute), [intermediate/advanced]
Deep Sequence Modeling: Historical Perspective and Current Trends
Thomas Breuel (NVIDIA Corporation), [intermediate] Segmentation,
Processing, and Tracking, with Applications to Video, Gaming, VR,
and Self-driving Cars
George Cybenko (Dartmouth College), [intermediate] Deep Learning
of Behaviors
Rina Dechter (University of California, Irvine), [introductory]
Algorithms for Reasoning with Probabilistic Graphical Models
Li Deng (Microsoft Research), tba
Jianfeng Gao (Microsoft Research), [introductory/intermediate] An
Introduction to Deep Learning for Natural Language Processing
Michael Gschwind (IBM T.J. Watson Research Center),
[introductory/intermediate] Deploying Deep Learning Applications
at the Enterprise Scale
Yufei Huang (University of Texas, San Antonio),
[intermediate/advanced] Deep Learning for Bioinformatics
Soo-Young Lee (Korea Advanced Institute of Science and
Technology), [intermediate/advanced] Multi-modal Deep Learning for
the Recognition of Human Emotions in the Real
Li Erran Li (Columbia University), [intermediate/advanced] Deep
Reinforcement Learning: Recent Advances and Frontiers
Michael C. Mozer (University of Colorado, Boulder),
[introductory/intermediate] Incorporating Domain Bias into Neural
Networks
Roderick Murray-Smith (University of Glasgow), [intermediate]
Applications of Deep Learning Models in Human-Computer Interaction
Research
Hermann Ney (RWTH Aachen University), [intermediate/advanced]
Speech Recognition and Machine Translation: From Statistical
Decision Theory to Machine Learning and Deep Neural Networks
Jose C. Principe (University of Florida), [intermediate/advanced]
Cognitive Architectures for Object Recognition in Video
Marc’Aurelio Ranzato (Facebook AI Research),
[introductory/intermediate] Learning Representations for Vision,
Speech and Text Processing Applications
Maximilian Riesenhuber (Georgetown University),
[introductory/intermediate] Deep Learning in the Brain
Ruslan Salakhutdinov (Carnegie Mellon University),
[intermediate/advanced] Foundations of Deep Learning and its
Recent Advances
Alessandro Sperduti (University of Padua), [intermediate/advanced]
Deep Learning for Sequences
Jimeng Sun (Georgia Institute of Technology), [introductory]
Interpretable Deep Learning Models for Healthcare Applications
Julian Togelius (New York University), [intermediate] (Deep)
Learning for (Video) Games
Joos Vandewalle (KU Leuven), [introductory/intermediate] Data
Processing Methods, and Applications of Least Squares Support
Vector Machines
Ying Nian Wu (University of California, Los Angeles),
[introductory/intermediate] Deep Generative Models and
Unsupervised Learning
Eric P. Xing (Carnegie Mellon University), [intermediate/advanced]
Statistical Machine Learning Perspectives of Extending Deep Neural
Networks: Kernels, Logics, Regularizers, Priors, and Distributed
Algorithms
Georgios N. Yannakakis (University of Malta),
[introductory/intermediate] Deep Learning for Games - But Not for
Playing them
Scott Wen-tau Yih (Microsoft Research),
[introductory/intermediate] Continuous Representations for Natural
Language Understanding
Richard Zemel (University of Toronto), [introductory/intermediate]
Learning to Understand Images and Text
OPEN SESSION:
An open session will collect 5-minute voluntary presentations of
work in progress by participants. They should submit a half-page
abstract containing title, authors, and summary of the research to
david.silva409 (at) yahoo.com by July 9, 2017.
INDUSTRIAL SESSION:
A specific session will be devoted to demonstrations of practical
uses of deep learning in industrial processes. Companies/people
interested in contributing are welcome to submit a 1-page abstract
containing the program of the demonstration, the duration
requested and the logistics necessary. At least one of the people
participating in the demonstration should have registered for the
event. Expressions of interest have to be submitted to
david.silva409 (at) yahoo.com by July 2, 2017.
EMPLOYERS SESSION:
Firms searching for personnel well skilled in deep learning will
have a space reserved for one-to-one contacts. At least one of the
people in charge of the search should have registered for the
event. Expressions of interest have to be submitted to
david.silva409 (at) yahoo.com by July 2, 2017.
ORGANIZING COMMITTEE:
Pablo García Bringas (co-chair)
José Gaviria
Carlos Martín (co-chair)
Manuel Jesús Parra
Iker Pastor
Borja Sanz (co-chair)
David Silva
REGISTRATION:
It has to be done at
http://grammars.grlmc.com/DeepLearn2017/registration.php
The selection of up to 8 courses requested in the registration
template is only tentative and non-binding. For the sake of
organization, it will be helpful to have an approximation of the
respective demand for each course.
Since the capacity of the venue is limited, registration requests
will be processed on a first come first served basis. The
registration period will be closed and the on-line registration
facility disabled when the capacity of the venue will be complete.
It is much recommended to register prior to the event.
FEES:
Fees comprise access to all courses and lunches. There are several
early registration deadlines. Fees depend on the registration
deadline.
ACCOMMODATION:
A suggestion for accommodation is available on the website.
CERTIFICATE:
Participants will be delivered a certificate of attendance
indicating the number of hours of lectures.
QUESTIONS AND FURTHER INFORMATION:
david.silva409 (at) yahoo.com
ACKNOWLEDGMENTS:
Universidad de Deusto
Universitat Rovira i Virgili