Montreal AI Symposium 2021

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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.

Keynote Speakers

Aishwarya Agrawal
Assistant Professor in the Department of Computer Science and Operations Research at University of Montreal
Keynote talk 1: Vision and Language: Progress and Challenges
Tegan Maharaj
Assistant Professor in the Faculty of Information at the University of Toronto, an affiliate of the Vector Institute and Schwartz-Reisman Institute for Technology and Society
Keynote talk 2: Practical Directions for Responsible AI Development
Pablo Samuel Castro
Staff research Software Developer in Google Research (Brain team) in Montreal
Keynote Talk: Deep Reinforcement Learning – Challenges and Opportunities

General Information

When: Saturday, October 30 from 8:30 am – 17:30 pm 
Where: both online and in-person (limited capacity). The in-person event will take place at Mila in the Agora Cafe. (see below for details about the in-person and the online event)
Who: Anyone interested in machine learning and artificial intelligence
Submit your CV here if you would like it shared with our sponsors.

Please register for the event here (Eventbrite) for both the in-person and the online. We will notify those a week before the event who wanted to attend in-person if there is room availability. Everyone should register with the same link regardless of whether you want to attend in-person or online. You must indicate in the Eventbrite form if you want to attend in-person otherwise we will assume you want to attend online. One week before the event, we will inform you if we have space.

In-person: The in-person event will take place at the Mila-Quebec AI Institute in the Agora. We are limited to 100 person capacity. Due to health guidelines, you must wear a mask and show a Quebec vaccine passport to attend the in-person events. We will be unable to provide any food/drink; however, there is a long break for lunch. We hope that most of the speakers will give live talks at the in-person event. Those not giving in-person talks will be live streamed to the in-person audience. Note that all the sponsors and poster session booths will only be available on (no live booths). 

Online: All the talks will be live streamed via Zoom. Poster sessions and sponsor booths will be in An email with the links to the Zoom and will be sent out a week before the conference.

Call for Contrtibutions

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.

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.
Collaborative review

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.

Organizing Committee

Senior Program Chair:

Courtney Paquette, McGill University

Program Chairs:

  • 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

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.

Our sponsors




Contact the organizers:
Contact the diversity and inclusion chairs:
Stay updated on the conference at @SymposiumAi

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