<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN" "http://www.w3.org/TR/REC-html40/loose.dtd">
<html><head><meta http-equiv="Content-Type" content="text/html; charset=utf-8"><title>DeepLearn 2017: early registration January 27</title></head><body>*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line*<br>
<br>
************************************************************<br>
<br><strong>INTERNATIONAL SUMMER SCHOOL ON DEEP LEARNING</strong><br>
<br><strong>DeepLearn 201</strong><strong>7</strong><br>
<br><strong>Bilbao</strong><strong>, </strong><strong>Spain</strong><br>
<br><strong>July 17-21, 2017</strong><br>
<br>
Organized by:<br>
University of Deusto<br>
Rovira i Virgili University<br>
<br>
http://grammars.grlmc.com/DeepLearn2017/<br>
<br>
************************************************************<br>
<br><strong>SCOPE:</strong><br>
<br>
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.<br>
<br>
Most deep learning subareas will be displayed, and main challenges identified through 4 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.<br>
<br><strong>ADDRESSED TO:</strong><br>
<br>
In principle, graduate students, doctoral students and postdocs from around the world 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 people 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.<br>
<br><strong>REGIME:</strong><br>
<br>
In addition to keynotes, 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.<br>
<br><strong>VENUE:</strong><br>
<br>
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:<br>
<br>
DeustoTech, School of Engineering<br>
University of Deusto<br>
Avda. Universidades, 24<br>
48014 Bilbao, Spain<br>
<br><strong>KEYNOTE SPEAKERS:</strong><br>
<br>
tba<br>
<br><strong>PROFESSORS AND COURSES:</strong> (to be completed)<br>
<br>
Sven Behnke (University of Bonn), [intermediate] Visual Perception using Deep Convolutional Neural Networks <br>
<br>
Mohammed Bennamoun (University of Western Australia), tba<br>
<br>
Hervé Bourlard (Idiap Research Institute), tba<br>
<br>
George Cybenko (Dartmouth College), tba<br>
<br>
Rina Dechter (University of California, Irvine), tba<br>
<br>
Li Deng (Microsoft Research), tba<br>
<br>
Jianfeng Gao (Microsoft Research), [introductory/intermediate] An Introduction to Deep Learning for Natural Language Processing<br>
<br>
Yufei Huang (University of Texas, San Antonio), tba<br>
<br>
Soo-Young Lee (Korea Advanced Institute of Science and Technology), tba<br>
<br>
Li Erran Li (Columbia University), tba<br>
<br>
Jose C. Principe (University of Florida), [intermediate/advanced] Cognitive Architectures for Object Recognition in Video<br>
<br>
Ruslan Salakhutdinov (Carnegie Mellon University), tba<br>
<br>
Joos Vandewalle (KU Leuven), Data Processing Methods, and Applications of Least Squares Support Vector Machines<br>
<br>
Georgios N. Yannakakis (University of Malta), Deep Learning for Games - But not for Playing them<br>
<br><strong>OPEN SESSION:</strong><br>
<br>
An open session will collect 5-minute 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 10, 2017.<br>
<br><strong>ORGANIZING COMMITTEE:</strong><br>
<br>
José Gaviria<br>
Carlos Martín (co-chair)<br>
Manuel Jesús Parra<br>
Iker Pastor<br>
Borja Sanz (co-chair)<br>
David Silva<br>
<br><strong>REGISTRATION:</strong><br>
<br>
It has to be done at<br>
<br>
http://grammars.grlmc.com/DeepLearn2017/registration.php<br>
<br>
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.<br>
<br>
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.<br>
<br><strong>FEES:</strong><br>
<br>
Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline.<br>
<br><strong>ACCOMMODATION:</strong><br>
<br>
Suggestions for accommodation will be available on the website.<br>
<br><strong>CERTIFICATE:</strong><br>
<br>
Participants will be delivered a certificate of attendance including the number of hours of lectures.<br>
<br><strong>QUESTIONS AND FURTHER INFORMATION:</strong><br>
<br>
david.silva409 (at) yahoo.com<br>
<br><strong>ACKNOWLEDGMENTS:</strong><br>
<br>
Universidad de Deusto<br>
Universitat Rovira i Virgili</body></html>