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DeepLearn 2020: early registration February 25
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4th INTERNATIONAL SUMMER SCHOOL ON DEEP
LEARNING
DeepLearn 2020
León, Guanajuato, Mexico
July 27-31, 2020
Co-organized by:
Center for Research in Mathematics, A.C. (CIMAT-CONACyT)
Guanajuato
Institute for Research Development, Training and Advice (IRDTA)
Brussels/London
https://deeplearn2020.irdta.eu/
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--- Early registration deadline: February 25, 2020 ---
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SCOPE:
DeepLearn 2020 will be a research training event with a global
scope aiming at updating participants on the most recent advances
in the critical and fast developing area of deep learning.
Previous events were held in Bilbao, Genova and Warsaw.
Deep learning is a branch of artificial intelligence covering a
spectrum of current exciting 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 and 24 four-hour and a half
courses, 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 2020 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.
VENUE:
DeepLearn 2020 will take place in León, the most populous city in
the state of Guanajuato, in central Mexico, and a major economic
pole in the country with specialization in leather industry. The
venue will be:
Poliforum León
Blvd. Adolfo López Mateos esq. Blvd. Francisco Villa
Col. Oriental, León, Gto., Mexico, C.P. 37510
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.
KEYNOTE SPEAKERS: (to be completed)
Maja Pantic (Imperial College London), Artificial Emotional
Intelligence, Faces, Deep Fakes and Other Topics
PROFESSORS AND COURSES: (to be completed)
Rick S. Blum (Lehigh University), [introductory/intermediate] Deep
Learning and Cybersecurity
Ben Brown (Lawrence Berkeley National Laboratory),
[introductory/advanced] Explainable AI (XAI) Techniques for
Science and Engineering -- Toward Statistical Inference for the
21st Century
Georgios Giannakis (University of Minnesota), [advanced] Ensembles
for Interactive and Deep Learning Machines with Scalability,
Expressivity, and Adaptivity
Çağlar Gülçehre (DeepMind), [intermediate/advanced] Deep
Reinforcement Learning
Vincent Lepetit (ENPC ParisTech), [intermediate] Deep Learning and
3D Geometry
Geert Leus (Delft University of Technology),
[introductory/intermediate] Graph Signal Processing: Introduction
and Connections to Distributed Optimization and Deep Learning
Abdelrahman Mohamed (Facebook AI Research),
[introductory/advanced] Recent Advances in Automatic Speech
Recognition
Jan Peters (Technical University of Darmstadt), [intermediate]
Robot Learning
Massimiliano Pontil (Italian Institute of Technology),
[intermediate/advanced] Statistical Learning Theory
Jose Principe (University of Florida), [intermediate/advanced]
Cognitive Architectures for Object Recognition in Video
Fedor Ratnikov (National Research University Higher School of
Economics), [introductory] Specifics of Applying Machine Learning
to Problems in Natural Science
Salim Roukos (IBM Research AI), [intermediate/advanced] Deep
Learning Methods for Natural Language Processing
Björn Schuller (Imperial College London),
[introductory/intermediate] Deep Signal Processing
Alex Smola (Amazon), [introductory/advanced] Dive into Deep
Learning
Sargur N. Srihari (University at Buffalo), [introductory]
Generative Models in Deep Learning
Kunal Talwar (Google Brain), [intermediate] Differentially Private
Machine Learning
René Vidal (Johns Hopkins University), [intermediate/advanced]
Mathematics of Deep Learning
Haixun Wang (WeWork), [introductory/intermediate] Conceptual
Understanding and Machine Learning
Ming-Hsuan Yang (University of California, Merced),
[intermediate/advanced] Learning to Track Objects
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 the title, authors, and summary of the
research to
david@irdta.eu by July 19, 2020.
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. People
participating in the demonstration must register for the event.
Expressions of interest have to be submitted to
david@irdta.eu by
July 19, 2020.
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. People in charge of the search
must register for the event. Expressions of interest have to be
submitted to
david@irdta.eu by July 19, 2020.
ORGANIZING COMMITTEE:
Teresa Efigenia Alarcón Martínez (Guadalajara)
Oscar Dalmau Cedeño (Guanajuato, co-chair)
Sara Morales (Brussels)
Manuel J. Parra-Royón (Granada)
David Silva (London, co-chair)
REGISTRATION:
It has to be done at
https://deeplearn2020.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
tool 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:
Centro de Investigación en Matemáticas, A.C. (CIMAT-CONACyT) –
Guanajuato
Centro Universitario de los Valles, Universidad de Guadalajara
Institute for Research Development, Training and Advice (IRDTA) –
Brussels/London