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 Symposium will be held on September 11th, 2020, and is hosted at the University of Montreal. The event is free of charge for participants with mandatory registration. It is easily accessible from the public transit system (Station Université-de-Montréal / Éd.-Montpetit, blue line).
Daycare will be offered for free during the symposium. However, registration will be mandatory.
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 behaviour. Registration for the symposium will require signing the code of conduct available here.
The event is free of charge for participants. However, all attendees must register with an EventBrite ticket to attend the symposium. The event will most likely sell out, but all the talks will be recorded. We will announce when registration opens.
Call for Contributions
We invite you to submit a contribution to the third Montreal AI symposium. 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.
Instructions for abstract submission
Submissions will be handled electronically via the symposium’s CMT website: https://cmt3.research.microsoft.com/MAIS2020/. You will be asked to create a CMT account if you do not already have one. All abstracts must be written in English.
To create a new submission, click on ‘Create new submission’. You will be asked to select your subject area and indicate your conflicts of interest as well as your preference for presentation format (short talk or poster). Abstracts should be at most two pages in 10pt font, not including 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: May 27, 2020
Notification of acceptance: July 17, 2020
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.
We would like to acknowledge that the University of Montreal is located on unceded Indigenous lands.
The Kanien’kehá:ka Nation is recognized as the custodians of the lands and waters on which we gather for this event.
Tiohtiá:ke/Montreal is historically known as a gathering place for many First Nations.
Today, it is home to a diverse population of Indigenous and other peoples.
We respect the continued connections with the past, present and future in our ongoing relationships with Indigenous and other peoples within the Montreal community.
Senior Program Chair:
- Audrey Durand, Laval University
- Pablo Samuel Castro, Google
- Erdem Ozcan, Automat
- Amy Zhang, Facebook and McGill University
- Nadine Kairallah, MILA
Inclusion and diversity chairs:
- Tess Berthier, Imagia
- Prudencio Tossou, InVivo AI
Contact the organizers: firstname.lastname@example.org
Contact the inclusion and diversity chairs: email@example.com