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DeepLearn 2019: early registration February 2
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3rd INTERNATIONAL SUMMER SCHOOL ON DEEP
LEARNING
DeepLearn 2019
Warsaw, Poland
July 22-26, 2019
Co-organized by:
Institute of Computer Science, Polish Academy of Sciences
IRDTA – Brussels/London
http://deeplearn2019.irdta.eu/
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SCOPE:
DeepLearn 2019 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 neurosciences, computer vision,
speech recognition, language processing, human-computer
interaction, drug discovery, biomedical informatics, healthcare,
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 2 keynote lectures, 24 four-hour and a half
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. Moreover, there will be
two special sessions with industrial and recruitment profiles.
ADDRESSED TO:
Master's students, PhD students, postdocs, and industry
practitioners 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. Overall, DeepLearn 2019 is addressed to students,
researchers and practitioners who want to keep themselves updated
about recent developments and future trends. All will surely find
it fruitful to listen and discuss with major researchers, industry
leaders and innovators.
STRUCTURE:
3 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 2019 will take place in Warsaw, whose historical Old
Town was designated a UNESCO World Heritage Site. The venue will
be:
tba
KEYNOTE SPEAKERS:
tba
PROFESSORS AND COURSES: (to be completed)
Pierre Baldi (University of California, Irvine),
[intermediate/advanced] Deep Learning: Theory, Algorithms, and
Applications to the Natural Sciences
Christopher Bishop (Microsoft Research Cambridge), [introductory]
Introduction to the Key Concepts and Techniques of Machine
Learning
Aaron Courville (University of Montréal),
[introductory/intermediate] Deep Generative Models
Sergei V. Gleyzer (University of Florida),
[introductory/intermediate] Feature Extraction, End-end Deep
Learning and Applications to Very Large Scientific Data: Rare
Signal Extraction, Uncertainty Estimation and Realtime Machine
Learning Applications in Software and Hardware
Tomas Mikolov (Facebook), [introductory] Using Neural Networks for
Modeling and Representing Natural Languages (with Armand Joulin)
Hermann Ney (RWTH Aachen University), [intermediate/advanced]
Speech Recognition and Machine Translation: From Statistical
Decision Theory to Machine Learning and Deep Neural Networks
Navraj Pannu (GoDaddy), [introductory/intermediate] Deep Learning
and Maximum Likelihood in Structural Biology
Jose C. Principe (University of Florida), [intermediate/advanced]
Cognitive Architectures for Object Recognition in Video
Björn Schuller (Imperial College London),
[introductory/intermediate] Deep Learning for Intelligent Signal
Processing
Alex Smola (Amazon), tba
Ponnuthurai N Suganthan (Nanyang Technological University),
[introductory/intermediate] Learning Algorithms for
Classification, Forecasting and Visual Tracking
Johan Suykens (KU Leuven), [introductory/intermediate] Deep
Learning, Neural Networks and Kernel Machines
Alexey Svyatkovskiy (Princeton University),
[introductory/intermediate] From Natural Language Processing to
Machine Learning on Source Code
Gaël Varoquaux (INRIA), [intermediate] Representation Learning in
Limited Data Settings
René Vidal (Johns Hopkins University), [intermediate/advanced]
Mathematics of Deep Learning
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@irdta.eu by July 14, 2019.
INDUSTRIAL SESSION:
A session will be devoted to 10-minute demonstrations of practical
applications of deep learning in industry. Companies interested in
contributing are welcome to submit a 1-page abstract containing
the program of the demonstration and the logistics needed. At
least one of the people participating in the demonstration must
register for the event. Expressions of interest have to be
submitted to
david@irdta.eu by July 14, 2019.
EMPLOYER SESSION:
Firms searching for personnel well skilled in deep learning will
have a space reserved for one-to-one contacts. It is recommended
to produce a 1-page .pdf leaflet with a brief description of the
company and the profiles looked for, to be circulated among the
participants prior to the event. At least one of the people in
charge of the search must register for the event. Expressions of
interest have to be submitted to
david@irdta.eu by July 14, 2019.
ORGANIZING COMMITTEE:
Łukasz Kobyliński (Warsaw, co-chair)
Sara Morales (Brussels)
Manuel J. Parra-Royón (Granada)
David Silva (London, co-chair)
REGISTRATION:
It has to be done at
http://deeplearn2019.irdta.eu/registration/
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 estimation of the
respective demand for each course. During the event, participants
will be free to attend the courses they wish.
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 is exhausted. It
is highly 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:
Suggestions for accommodation will be available in due time.
CERTIFICATE:
A certificate of successful participation in the event will be
delivered indicating the number of hours of lectures.
QUESTIONS AND FURTHER INFORMATION:
david@irdta.eu
ACKNOWLEDGMENTS:
Institute of Computer Science, Polish Academy of Sciences
Institute for Research Development, Training and Advice (IRDTA) –
Brussels/London