How to Apply
The organizers of the 2020 Deep Learning Reinforcement Learning Summer School have been closely monitoring the rapidly evolving COVID-19 coronavirus outbreak. Many uncertainties exist regarding this virus and the global pandemic.
We are following the guidelines and recommendations of several organizations, including the Public Health Agency of Canada.
As a result, we have decided to cancel this year’s summer school as an in-person event and are currently exploring options for holding at least a portion of the school online.
Updates will be posted on this page regularly as details become available.
About the 2020 CIFAR DLRL Summer School Edition
July 29 – August 6, 2020 – Montreal, Quebec
This year’s DLRL Summer School is hosted by Mila, the Quebec Artificial Intelligence Institute in Montreal, Quebec, Canada.
The event brings together graduate students, post-docs and professionals to cover the foundational research, new developments, and real-world applications of deep learning and reinforcement learning. It is a one-of-a-kind, community-building event with a mission to foster the next generation of researchers in the fields of Deep Learning and Reinforcement Learning.
The Deep Learning and Reinforcement Learning Summer Schools are aimed at students, postdocs, and researchers in quantitative disciplines, who have knowledge of machine learning, deep learning and reinforcement learning.
It assumes a Bachelor’s degree in a computational discipline (e.g. computer science/engineering, mathematics and statistics) and familiarity with a scripting language for scientific programming (e.g. Python, Matlab or R).
How are Applications Selected?
DLRLSS will use a scoring system to select the majority of participants. Decisions will be made scholastically, and applicants with a higher score have a higher probability of being accepted. The scoring system favours applicants who are graduate students and whose research areas are closer to the scope of the summer school. It also favours applicants who are from a Canadian university, an under-represented group, contribute to a research blog or an open-source project, and those who have not attended the schools before.
Selected applicants will receive a confirmation e-mail by March 20, 2020. Applicants who have not been selected will not be contacted.
Complete the application form below to be considered by the 2020 CIFAR DLRLSS Selection Committee.
Please be advised that this form cannot be saved as a draft. Before you begin the application process, kindly ensure that you are prepared to submit the following required information and documents:
- Personal identification and contact details
- Link(s) to your personal academic web page (if you have one)
- CV with a list of publications in PDF format (maximum 3 pages)
- Brief description of your research interests (3-5 key words) and a statement describing how you meet the background criteria (150 words)
Applications are now closed
Important dates and next steps
|January 22, 2020||Applications open|
|February 23, 2020||Deadline to submit applications|
|March 20, 2020||Selected applicants will receive confirmation for registration|
|April 20, 2020||Deadline to complete registration|
|April 22, 2020||Deadline to submit financial support applications|
|July 29, 2020||Event begins|
Registration fees will be charged upon registration.
|Academic or not-for-profit researcher||$ 1,000.00 CAD|
|Other||$ 1,900.00 CAD|
Visa Applications and Travel Documents
It is strongly advised that potential applicants review the visa application processes as soon as they apply to the CIFAR DLRL Summer School.
Depending on your country of residence, applications may take weeks to process and it is the selected applicants’ responsibility to obtain the proper travel documents in a timely manner before attending the Summer School, if accepted.
Information collected on this form will only be used for the purposes of evaluating your application, communicating with you regarding your application, and planning the necessary support and logistics for the 2020 CIFAR DLRLSS. Your information will be treated as confidential and will not be shared except as necessary for the purposes stated here.
Limited financial support is available for students/postdocs. Details will be communicated directly to accepted applicants when registration opens. Students are also encouraged to look to their affiliated institutions for additional funds to cover expenses.