[DBWorld] DeepLearn 2021 Summer: early registration June 24

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4th INTERNATIONAL SCHOOL ON DEEP LEARNING

DeepLearn 2021 Summer

Las Palmas de Gran Canaria, Spain

July 26-30, 2021

Co-organized by:

Department of Information Engineering
Marche Polytechnic University

Institute for Research Development, Training and Advice =96 IRDTA
Brussels/London

https://irdta.eu/deeplearn2021s/

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--- Early registration deadline: June 24, 2021 ---

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SCOPE:

DeepLearn 2021 Summer will be a research training event with a global scope=
 aiming at updating participants on the most recent advances in the critica=
l and fast developing area of deep learning. Previous events were held in B=
ilbao, Genova and Warsaw.

Deep learning is a branch of artificial intelligence covering a spectrum of=
 current exciting research and industrial innovation that provides more eff=
icient 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 pion=
eers will lecture and share their views with the audience.

Most deep learning subareas will be displayed, and main challenges identifi=
ed through 21 four-hour and a half courses and 2 keynote lectures, which wi=
ll tackle the most active and promising topics. The organizers are convince=
d that outstanding speakers will attract the brightest and most motivated s=
tudents. 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 session=
s 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-requi=
sites for attendance in terms of academic degrees. Since there will be a va=
riety of levels, specific knowledge background may be assumed for some of t=
he courses. Overall, DeepLearn 2021 Summer is addressed to students, resear=
chers and practitioners who want to keep themselves updated about recent de=
velopments and future trends. All will surely find it fruitful to listen an=
d discuss with major researchers, industry leaders and innovators.

VENUE:

DeepLearn 2021 Summer will take place in Las Palmas de Gran Canaria, on the=
 Atlantic Ocean, with a mild climate throughout the year, sandy beaches and=
 a renowned carnival. The venue will be:

Palacio de Congresos Gran Canaria
Instituci=F3n Ferial de Canarias
Avenida de la Feria, 1
35012 Las Palmas de Gran Canaria

https://www.infecar.es/index.php?option=3Dcom_k2&view=3Ditem&layout=3Ditem&=
id=3D360&Itemid=3D896

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 f=
rom one to another.

KEYNOTE SPEAKERS:

Nello Cristianini (University of Bristol), Data, Intelligence and Shortcuts

Petia Radeva (University of Barcelona), Uncertainty Modeling and Deep Learn=
ing in Food Analysis

PROFESSORS AND COURSES:

Ignacio Arganda-Carreras (University of the Basque Country), [introductory/=
intermediate] Deep Learning for Bioimage Analysis

Rick S. Blum (Lehigh University), [introductory/intermediate] Statistical T=
heory of Machine Learning

Rita Cucchiara (University of Modena and Reggio Emilia), [intermediate/adva=
nced] Learning to Understand Humans and Their Behaviour

Thomas G. Dietterich (Oregon State University), [introductory] Machine Lear=
ning Methods for Robust Artificial Intelligence

Georgios Giannakis (University of Minnesota), [advanced] Ensembles for Onli=
ne, Interactive and Deep Learning Machines with Scalability, and Adaptivity

Sergei V. Gleyzer (University of Alabama), [introductory/intermediate] Mach=
ine Learning Fundamentals and Their Applications to Very Large Scientific D=
ata: Rare Signal and Feature Extraction, End-to-end Deep Learning, Uncertai=
nty Estimation and Realtime Machine Learning Applications in Software and H=
ardware

=C7aglar G=FCl=E7ehre (DeepMind), [intermediate/advanced] Deep Reinforcemen=
t Learning in the Real World: Offline RL [VIRTUAL]

Bal=E1zs K=E9gl (Huawei Technologies), [introductory] Deep Model-based Rein=
forcement Learning

Vincent Lepetit (ENPC ParisTech), [intermediate] AI and 3D Geometry for Sel=
f-supervised 3D Scene Understanding

Geert Leus (Delft University of Technology), [introductory/intermediate] Gr=
aph Signal Processing: Introduction and Connections to Distributed Optimiza=
tion and Deep Learning

Andy Liaw (Merck Research Labs), [introductory] Machine Learning and Statis=
tics: Better together

Abdelrahman Mohamed (Facebook AI Research), [introductory/advanced] Recent =
Advances in Automatic Speech Recognition

Hermann Ney (RWTH Aachen University), [intermediate/advanced] Speech Recogn=
ition and Machine Translation: From Statistical Decision Theory to Machine =
Learning and Deep Neural Networks

Jan Peters (Technical University of Darmstadt), [intermediate] Robot Learni=
ng

Jos=E9 C. Pr=EDncipe (University of Florida), [intermediate/advanced] Cogni=
tive Architectures for Object Recognition in Video

Bj=F6rn W. Schuller (Imperial College London), [introductory/intermediate] =
Deep Signal Processing

Sargur N. Srihari (University at Buffalo), [introductory] Generative Models=
 in Deep Learning

Johan Suykens (KU Leuven), [introductory/intermediate] Deep Learning, Neura=
l Networks and Kernel Machines

Ga=EBl Varoquaux (INRIA), [intermediate] Representation Learning in Limited=
 Data Settings

Ren=E9 Vidal (Johns Hopkins University), [intermediate/advanced] Mathematic=
s of Deep Learning

Haixun Wang (Instacart), [introductory/intermediate] Abstractions, Concepts=
, and Machine Learning

OPEN SESSION:

An open session will collect 5-minute voluntary presentations of work in pr=
ogress by participants. They should submit a half-page abstract containing =
the title, authors, and summary of the research to [email protected] by July 1=
8, 2021.

INDUSTRIAL SESSION:

A session will be devoted to 10-minute demonstrations of practical applicat=
ions of deep learning in industry. Companies interested in contributing are=
 welcome to submit a 1-page abstract containing the program of the demonstr=
ation and the logistics needed. People participating in the demonstration m=
ust register for the event. Expressions of interest have to be submitted to=
 [email protected] by July 18, 2021.

EMPLOYER SESSION:

Firms searching for personnel well skilled in deep learning will have a spa=
ce 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 looke=
d 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 [email protected] by July 18, 2021.

ORGANIZING COMMITTEE:

Emanuele Frontoni (Ancona, co-chair)
Carlos Mart=EDn-Vide (Tarragona, program chair)
Sara Moccia (Ancona)
Sara Morales (Brussels)
Marina Paolanti (Ancona)
Manuel J. Parra-Roy=F3n (Granada)
Luca Romeo (Ancona)
David Silva (London, co-chair)

REGISTRATION:

It has to be done at

https://irdta.eu/deeplearn2021s/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 he=
lpful to have an estimation of the respective demand for each course. Durin=
g the event, participants will be free to attend the courses they wish.

Since the capacity of the venue is limited, registration requests will be p=
rocessed on a first come first served basis. The registration period will b=
e closed and the on-line registration tool disabled when the capacity of th=
e venue will get exhausted. It is highly recommended to register prior to t=
he event.

FEES:

Fees comprise access to all courses and lunches. There are several early re=
gistration deadlines. Fees depend on the registration deadline.

ACCOMMODATION:

Suggestions for accommodation will be available in due time at

https://irdta.eu/deeplearn2021s/accommodation/

CERTIFICATE:

A certificate of successful participation in the event will be delivered in=
dicating the number of hours of lectures.

QUESTIONS AND FURTHER INFORMATION:

[email protected]

ACKNOWLEDGMENTS:

Dipartimento di Ingegneria dell'Informazione, Universit=E0 Politecnica dell=
e Marche

Institute for Research Development, Training and Advice =96 IRDTA, Brussels=
/London

Instituci=F3n Ferial de Canarias
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