The Montreal AI Symposium aims at gathering experts and professionals interested in fundamental advances and applications of artificial intelligence, with an emphasis on machine learning, deep learning and related approaches. The Symposium welcomes both academic and industrial participants; it seeks to build strong connections between researchers within the Greater Montreal area. We will feature a day-long event, filled with keynote addresses, contributed talks and posters, and time for networking and socializing.
The 2021 Montreal AI Symposium will be held on October 30. We are hoping to hold a hybrid event with an in-person component (capacity will be limited). All activities will be live-streamed. Please stay tuned for more information regarding this.
Call for Contributions
We invite you to submit a contribution to the fourth Montreal AI symposium. In order to promote research conducted in and around Montreal, at least one of the authors must be affiliated with an institution based in the province of Quebec.
We encourage submission of abstracts from both academic and industrial researchers, which can describe a technical or practical contribution, an open problem, an application or a position statement. Previously published material is acceptable. Do not include any confidential material.
Topics of interest include but are not limited to:
- Fundamental research in deep learning, reinforcement learning, kernel machines, Bayesian modeling, ensemble methods, optimization for machine learning;
- Implementation issues, parallelization, software platforms, hardware;
- Applications, including vision, audio, speech, natural language processing, robotics, healthcare, bioinformatics.
All selected works will be presented as a short video prepared by the poster submitters. Additionally a virtual poster session will be held on GatherTown the day of the event, where a representative per poster can present their work to participants.
For each abstract submitted, the principal contact associated with the submission is asked to evaluate three contributions. This collaborative evaluation process is designed to accommodate the growing size of the AI community.
Instructions for abstract submission
Submissions will be handled electronically via the symposium’s CMT website: https://cmt3.research.microsoft.com/MAIS2021/. You will be asked to create a CMT account if you do not already have one. All abstracts must be written in English. At least one author on the submission must be from an institution within the province of Quebec.
To create a new submission, click on ‘Create new submission’ and respond to the few questions. Abstracts should be at most one page text in 10pt font, with one extra page for figures and references.
Reviews are double-blind: submissions revealing the authors’ identities will be automatically rejected. When citing your previous work, refrain from using ‘we’ or ‘our’. We accept previously published material (including pre-prints) but we ask you not to cite this material to maintain anonymity during the reviewing period. We also ask you to omit acknowledgments in your submission.
Submission deadline: September 14, 2021 at 11:59 PM Eastern Time
Notification of acceptance: October 13, 2021
Submit video and poster: October 23, 2021
The Symposium will be held on October 30, 2021. At least part of the event (including the poster session) will be held virtually, though there may be an optional in-person component. The event is free of charge for participants.
Code of conduct
This symposium aims at facilitating discussions and the exchange of ideas. We ask all participants to be respectful of others and to be aware of their own behavior. Registration for the symposium will require signing the code of conduct available here.
Call for Sponsors
The organization of this event is entirely supported by sponsors, as registration is free of charge for attendees.
If you are interested in learning about our sponsorship offers for the Montreal AI Symposium, please contact the Symposium organizers.
Senior Program Chair:
- Courtney Paquette, McGill University
- Anna Huang, Google
- David Rolnick, McGill University
- Gauthier Gidel, Université de Montréal
Diversity and inclusion chairs:
- Bahare Fatemi, University of British Columbia
- RC Woodmass, Queerit
Contact the organizers: firstname.lastname@example.org
Contact the diversity and inclusion chairs: email@example.com