Deep Learning and Reinforcement Learning Summer School 2018
July 25th – August 3rd, 2018
Desautels Hall
Rotman School of Management
University of Toronto
105 St George St
Toronto, ON, Canada
M5S 3E6
About
Deep Learning Summer School (DLSS)
July 25 - 31, 2018
Deep neural networks are a powerful method for automatically learning distributed representations at multiple levels of abstraction. Over the past decade, they have dramatically pushed forward the state-of-the-art in domains as diverse as vision, language understanding, robotics, game playing, graphics, health care, and genomics. The DLSS will cover both the foundations and applications of deep neural networks, from fundamental concepts to cutting-edge research results.
DLSS is aimed at graduate students, postdocs, and industry professionals who already have some basic knowledge of machine learning (and possibly but not necessarily of deep learning) and wish to learn more about this rapidly growing field of research.
Organizing committee members: Yoshua Bengio, Aaron Courville, Roger Grosse, Graham Taylor
Reinforcement Learning Summer School (RLSS)
August 1 - 3, 2018
The RLSS will cover the basics of reinforcement learning and show its most recent research trends and discoveries, as well as present an opportunity to interact with graduate students and senior researchers in the field.
RLSS is intended for graduate students in Machine Learning and related fields. Participants should have advanced prior training in computer science and mathematics.
Organizing committee members: Amir-massoud Farahmand, Joelle Pineau, Doina Precup
Confirmed Speakers
Deep Learning Summer School (DLSS)
PRINCETON UNIVERSITY
UNIVERSITY OF TORONTO, VECTOR INSTITUTE
MONTREAL INSTITUTE FOR LEARNING ALGORITHMS, UNIVERSITY OF MONTREAL
UNIVERSITY OF TORONTO, VECTOR INSTITUTE
DUKE UNIVERSITY
MASSACHUSETTS INSTITUTE OF TECHNOLOGY
CARNEGIE MELLON UNIVERSITY
NORTHWESTERN UNIVERSITY
DALHOUSIE UNIVERSITY, VECTOR INSTITUTE
UNIVERSITY OF TORONTO
GOOGLE RESEARCH
CORNELL UNIVERSITY
Reinforcement Learning Summer School (RLSS)
ALBERTA MACHINE INTELLIGENCE INSTITUTE, UNIVERSITY OF ALBERTA
UNIVERSITY OF CALIFORNIA, BERKELEY
MCGILL UNIVERSITY
Application Process
Applications are expected to open during the first week of March 2018. Enter your email address to be notified when applications open.
Frequently Asked Questions
Desautels Hall
Rotman School of Management
University of Toronto
105 St George St
Toronto, ON, Canada
M5S 3E6
English.
The application process is expected to start during the first week of March 2018.
Unfortunately, no. Students must be actively enrolled in an educational institution at the time the summer school will take place.
Most spots will be allocated to graduate students and postdocs. However, a limited number of spots will be held for faculty and industry professionals.
Yes, there will be limited financial aid available. The amount of support will be determined by the number of students who apply for aid.
No, financial aid will only be assessed after an applicant is accepted.
Yes.
Yes, on the application you will have the opportunity to apply to DLSS, RLSS, or both.