LINGUIST List 28.2196
Thu May 11 2017
Summer Schools: International Summer School on Deep Learning/Spain
Editor for this issue: Yue Chen <yuelinguistlist.org>
GRLMC Team <grlmc
International Summer School on Deep Learning/Spain E-mail this message to a friend
Host Institution: Universidad de Deusto
Coordinating Institution: Rovira i Virgili University
Dates: 17-Jul-2017 - 21-Jul-2017
Location: Bilbao, Spain
Focus: DeepLearn 2017 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 neuroscience, computer vision, speech recognition, language processing, drug discovery, biomedical informatics, 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 4 keynote lectures, 30 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.
Minimum Education Level: No Minimum
Special Qualifications: In principle, graduate students, doctoral students and postdocs 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. DeepLearn 2017 is also appropriate for more senior academics and practitioners who want to keep themselves updated on recent developments and future trends. All will surely find it fruitful to listen and discuss with major researchers, industry leaders and innovators.
In addition to keynotes, 3-4 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.
DeepLearn 2017 will take place in Bilbao, the largest city in the Basque Country, famous for its gastronomy and the seat of the Guggenheim Museum. The venue will be:
DeustoTech, School of Engineering
University of Deusto
Avda. Universidades, 24
48014 Bilbao, Spain
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 9, 2017.
A specific session will be devoted to demonstrations of practical uses of deep learning in industrial processes. Companies/people interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration, the duration requested and the logistics necessary. At least one of the people participating in the demonstration should have registered for the event. Expressions of interest have to be submitted to david.silva409 (at) yahoo.com by July 2, 2017.
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 should have registered for the event. Expressions of interest have to be submitted to david.silva409 (at) yahoo.com by July 2, 2017.
Pablo García Bringas (co-chair)
Carlos Martín (co-chair)
Manuel Jesús Parra
Borja Sanz (co-chair)
Linguistic Field(s): Computational Linguistics
Registration: 11-May-2017 to 14-Jul-2017
Contact Person: GRLMC Team
Apply on the web: http://grammars.grlmc.com/DeepLearn2017/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 approximation of the respective demand for each course. 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 will be complete. It is much recommended to register prior to the event.
Page Updated: 11-May-2017