-------- Weitergeleitete Nachricht --------
DeepLearn 2018: early registration February 14
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2nd INTERNATIONAL SUMMER SCHOOL ON DEEP
LEARNING
DeepLearn 2018
Genova, Italy
July 23-27, 2018
Organized by:
University of Genova
IRDTA-London
http://grammars.grlmc.com/DeepLearn2018/
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--- Early registration deadline: February 14, 2018 ---
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SCOPE:
DeepLearn 2018 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 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. 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 2018 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 2018 will take place in Genova, the capital city of
Liguria, inscribed on the UNESCO World Heritage List and with one
of the most important ports of the Mediterranean. The venue will
be:
Porto Antico di Genova – Centro Congressi
Calata Molo Vecchio 15
Modulo 5 – 1° piano
16128 Genova, Italy
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
Thomas Breuel (NVIDIA Corporation), [intermediate] Design and
Implementation of Deep Learning Applications
Li Deng (Citadel), tba
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
Michael Gschwind (IBM Global Chief Data Office),
[introductory/intermediate] Deploying Deep Learning at Enterprise
Scale
Xiaodong He (Microsoft Research), [intermediate/advanced] Deep
Learning for Natural Language Processing and Language-Vision
Multimodal Intelligence
Namkug Kim (Asan Medical Center), [intermediate] Deep Learning for
Computer Aided Detection/Diagnosis in Radiology and Pathology
Li Erran Li (Uber ATG), [intermediate/advanced] Deep Reinforcement
Learning: Foundations, Recent Advances and Frontiers
Dimitris N. Metaxas (Rutgers University), [advanced] Adversarial,
Discriminative, Recurrent, and Scalable Deep Learning Methods for
Human Motion Analytics, Medical Image Analysis, Scene
Understanding and Image Generation
Hermann Ney (RWTH Aachen University), tba
Björn Schuller (Imperial College London), [intermediate/advanced]
Deep Learning for Signal Analysis
Johan Suykens (KU Leuven), [introductory/intermediate] Deep
Learning and Kernel Machines
Kenji Suzuki (Tokyo Institute of Technology),
[introductory/advanced] Deep Learning in Medical Image Processing,
Analysis and Diagnosis
Gökhan Tür (Google Research), [intermediate/advanced] Deep
Learning in Conversational AI
Ming-Hsuan Yang (University of California, Merced),
[intermediate/advanced] Learning to Track Objects
Yudong Zhang (Nanjing Normal University),
[introductory/intermediate] Convolutional Neural Network and Its
Variants
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 15, 2018.
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.silva409 (at) yahoo.com by July 15, 2018.
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 must register for the event.
Expressions of interest have to be submitted to david.silva409
(at) yahoo.com by July 15, 2018.
ORGANIZING COMMITTEE:
Francesco Masulli (co-chair)
Manuel J. Parra-Royón
David Silva (co-chair)
REGISTRATION:
It has to be done at
http://grammars.grlmc.com/DeepLearn2018/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 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.silva409 (at) yahoo.com
ACKNOWLEDGMENTS:
Università degli studi di Genova
Institute for Research Development, Training and Advice (IRDTA) –
London