3rd INTERNATIONAL SUMMER SCHOOL ON DEEP LEARNING

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