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. Information about the last year event can be found here.
The Symposium will be held on September 6th, 2019, and is hosted at the University of Montreal- Roger-Gaudry Building. 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).
The day program (8am-5pm) is held in the room K-500 of the Roger-Gaudry Building at the 2900 Boulevard Edouard-Montpetit, Montréal, QC H3T 1J4 (see the red star on the map below).
The poster session + reception (5-8pm) is held in the room H400 at the same building.
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 that will be soon available.
Call for Contributions
We invite you to submit a contribution to the third Montreal AI symposium. We encourage the 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 modelling, ensemble methods, optimization for machine learning;
- Implementation issues, parallelization, software platforms, hardware;
- Fairness, Accountablity, Transparency and Ethics in AI.
- Intersection of AI and Art.
- 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: http://cmt3.research.microsoft.com/mais2019/. 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. Note that there is no specific format for submissions and any standard format is accepatable (e.g: ICML, ICLR, NeurIPS, ACM MM).
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 is extended: July 5 2019, 17:00 EST.
June 28 2019, 17:00 EST.
Notification of acceptance: Early August 2019
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:
- Negar Rostamzadeh, Element AI
- Laurent Charlin, MILA, Université de Montréal/ HEC
- Adriana Romero, Facebook AI Research/ McGill
- Fernando Diaz, Microsoft Research
- Émélie Brunet, MILA, Université de Montréal
Diversity and Inclusion Chairs:
- Laurent Dinh, Google Brain
- Hana Nagel, Element AI