[hpc-announce] DeepLearn 2018: early registration May 3

[IRDTA]

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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 – Brussels/London

http://grammars.grlmc.com/DeepLearn2018/

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--- Early registration deadline: May 3, 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
Magazzini del Cotone – Module 10
16128 Genova, Italy

KEYNOTE SPEAKERS:

tba

PROFESSORS AND COURSES: (to be completed)

Tülay Adali (University of Maryland, Baltimore County), 
[introductory/intermediate] Data Fusion through Matrix and Tensor 
Decompositions: Linear, Multilinear, and Nonlinear Models and their 
Applications

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

Joachim M. Buhmann (Swiss Federal Institute of Technology Zurich), 
[introductory/advanced] Model Selection by Algorithm Validation

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 (JD AI 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

Sun-Yuan Kung (Princeton University), [introductory] Systematic 
(Analytical and Empirical) Optimization/Generalization of  Deep Learning 
Networks

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), [intermediate/advanced] Speech 
Recognition and Machine Translation: From Statistical Decision Theory to 
Machine Learning and Deep Neural Networks

Jose C. Principe (University of Florida), [introductory/advanced] 
Cognitive Architectures for Object Recognition in Video

Douglas A. Reynolds (Massachusetts Institute of Technology) & Najim 
Dehak (Johns Hopkins University), [introductory/intermediate] Beyond 
Words: Machine and Deep Learning for Speaker, Language, and Emotion 
Recognition from Speech

Björn Schuller (Imperial College London), [intermediate/advanced] Deep 
Learning for Signal Analysis

Michèle Sebag (French National Center for Scientific Research, 
Gif-sur-Yvette), [intermediate] Representation Learning, Domain 
Adaptation and Generative Models with Deep Learning

Ponnuthurai N Suganthan (Nanyang Technological University), 
[introductory/intermediate] Learning Algorithms for Classification, 
Forecasting and Visual Tracking

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 (Uber AI Labs), [intermediate/advanced] Deep Learning in 
Conversational AI

René Vidal (Johns Hopkins University), [intermediate/advanced] 
Mathematics of Deep Learning

Eric P. Xing (Carnegie Mellon University), [intermediate/advanced] A 
Statistical Machine Learning Perspective of Deep Learning: Algorithm, 
Theory, Scalable Computing

Ming-Hsuan Yang (University of California, Merced), 
[intermediate/advanced] Learning to Track Objects

Yudong Zhang (University of Leicester), [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 at irdta.eu 
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 at irdta.eu 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 at irdta.eu by July 15, 2018.

ORGANIZING COMMITTEE:

Alberto Cabri (Genova)
Francesco Masulli (Genova, co-chair)
Sara Morales (Brussels)
Manuel J. Parra-Royón (Granada)
Stefano Rovetta (Genova)
David Silva (London, 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 can be found at

http://www.deeplearn-hotels.promoest.com/hp.aspx?s=0

CERTIFICATE:

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

QUESTIONS AND FURTHER INFORMATION:

david at irdta.eu

ACKNOWLEDGMENTS:

Università degli studi di Genova
Institute for Research Development, Training and Advice (IRDTA) – 
Brussels/London