Videos: Montreal AI Symposium

So the Montreal AI Symposium is currently happening in Montreal. Here are the videos of the morning and afternoon sessions after the program (and congrats to the organizers Hugo Larochelle, Joëlle Pineau, Adam Trischler, Nicolas Chapados, Guillaume Chicoisne for put these presentations online through the streaming):

Keynote — Artificial Intelligence Goes All-In: Computers Playing Poker

Michael Bowling, University of Alberta and DeepMind

9.50 – 10.10 Contributed talk — A Distributional Perspective on Reinforcement Learning

Marc G. Bellemare, Google Brain

10.10 – 10.30 Contributed talk — Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

Ryan Lowe, McGill University, OpenAI; Yi Wu, UC Berkeley; Aviv Tamar, UC Berkeley; Jean Harb, McGill University, OpenAI; Pieter Abbeel, UC Berkeley, Openai; Igor Mordatch, OpenAI

11.00 – 11.20

Contributed talk — Team Sports Modelling

Norm Ferns, SPORTLOGiQ; Mehrsan Javan, SPORTLOGiQ

11.20 – 11.40

Contributed talk — FigureQA: An annotated figure dataset for visual reasoning

Samira Ebrahimi Kahou, Microsoft; Adam Atkinson, Microsoft; Vincent Michalski, University of Montreal; Akos Kadar, Microsoft; Adam Trischler, Microsoft; Yoshua Bengio, University of Montreal

11.40 – 12.00

Contributed talk — FiLM: Visual Reasoning with a General Conditioning Layer

Ethan Perez, MILA and Rice University; Harm de Vries, MILA; Florian Strub, Université Lille; Vincent Dumoulin, MILA; Aaron Courville, MILA and CIFAR

13.30 – 14.10

Keynote — Deep Learning for Self-Driving Cars

Raquel Urtasun, University of Toronto and Uber

14.10 – 14.30

Contributed Talk — Deep 6-DOF Tracking

Mathieu Garon, Université Laval; Jean-François Lalonde, Université Laval

14.30 – 14.50

Contributed Talk — Deep Learning for Character Animation

Daniel Holden, Ubisoft Montreal

15.20 – 15.40

Contributed Talk — Assisting combinatorial chemistry in the search of highly bioactive peptides

Prudencio Tossou, Université Laval; Mario Marchand, Université Laval; François Laviolette, Université Laval

15.40 – 16.00

Contributed Talk — Saving Newborn Lives at Birth through Machine Learning

Charles Onu, Ubenwa Intelligence Solutions Inc; Doina Precup, McGill University

16.00 – 16.20

Contributed Talk — Meticulous Transparency — A Necessary Practice for Ethical AI

Abhishek Gupta ; Dr. David Benrimoh

17.00 – 20.00

Poster Session + Happy Hour with Sponsors

List of accepted posters

Morning session

Afternoon session

h/t Hugo

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