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 PokerMichael Bowling, University of Alberta and DeepMind9.50 – 10.10 Contributed talk — A Distributional Perspective on Reinforcement LearningMarc G. Bellemare, Google Brain10.10 – 10.30 Contributed talk — Multi-Agent Actor-Critic for Mixed Cooperative-Competitive EnvironmentsRyan Lowe, McGill University, OpenAI; Yi Wu, UC Berkeley; Aviv Tamar, UC Berkeley; Jean Harb, McGill University, OpenAI; Pieter Abbeel, UC Berkeley, Openai; Igor Mordatch, OpenAI11.00 – 11.20Contributed talk — Team Sports ModellingNorm Ferns, SPORTLOGiQ; Mehrsan Javan, SPORTLOGiQ11.20 – 11.40Contributed talk — FigureQA: An annotated figure dataset for visual reasoningSamira Ebrahimi Kahou, Microsoft; Adam Atkinson, Microsoft; Vincent Michalski, University of Montreal; Akos Kadar, Microsoft; Adam Trischler, Microsoft; Yoshua Bengio, University of Montreal11.40 – 12.00Contributed talk — FiLM: Visual Reasoning with a General Conditioning LayerEthan Perez, MILA and Rice University; Harm de Vries, MILA; Florian Strub, Université Lille; Vincent Dumoulin, MILA; Aaron Courville, MILA and CIFAR13.30 – 14.10Keynote — Deep Learning for Self-Driving CarsRaquel Urtasun, University of Toronto and Uber14.10 – 14.30Contributed Talk — Deep 6-DOF TrackingMathieu Garon, Université Laval; Jean-François Lalonde, Université Laval14.30 – 14.50Contributed Talk — Deep Learning for Character AnimationDaniel Holden, Ubisoft Montreal15.20 – 15.40Contributed Talk — Assisting combinatorial chemistry in the search of highly bioactive peptidesPrudencio Tossou, Université Laval; Mario Marchand, Université Laval; François Laviolette, Université Laval15.40 – 16.00Contributed Talk — Saving Newborn Lives at Birth through Machine LearningCharles Onu, Ubenwa Intelligence Solutions Inc; Doina Precup, McGill University16.00 – 16.20Contributed Talk — Meticulous Transparency — A Necessary Practice for Ethical AIAbhishek Gupta ; Dr. David Benrimoh17.00 – 20.00Poster Session + Happy Hour with Sponsors
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