Montreal AI Symposium 2020

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

**Irina Rish**
Associate Professor in the Computer Science and Operations Research department at the Université de Montréal (UdeM) and a core member of Mila –Quebec AI Institute.

**Zachary Chase Lipton**
Assistant Professor of Operations Research and Machine Learning at Carnegie Mellon University.

**Natalie Schluter**
Senior Research Scientist at Google Brain and Associate Professor in NLP and Data Science at the IT University (ITU), in Copenhagen, Denmark

Panel: Ethics, Fairness, and Bias in AI

Moderator: Abhishek Gupta – founder of Montreal AI Ethics Institute (https://montrealethics.ai ) and a Machine Learning Engineer at Microsoft

Logistics

The Symposium will be held virtually on September 11th, 2020. The event is free of charge for participants. Register now!

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.

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:

Audrey Durand, Université Laval

Program Chairs:

Pablo Samuel Castro, Google
Erdem Ozcan, Automat
Amy Zhang, Facebook and McGill University

Diversity and inclusion chairs:

Tess Berthier, Imagia
Prudencio Tossou, InVivo AI

Local chair:

Nadine Kairallah, MILA

Special thanks to Nicolas Lazri (MILA) for helping us setting up the symposium online!

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.

Our sponsors

Gold

Silver

Contact

Contact the organizers: mais2020.pc@gmail.com
Contact the diversity and inclusion chairs: mais2020.dc@gmail.com
Stay updated on the conference at @SymposiumAi