Schedule 2019

8.00 – 9.00Registration & Breakfast (provided)
9.00 – 9.10Opening Remarks
9.10 – 9.50Keynote – Shiri Azenkot – AI-Powered Access: Intelligent Interactive Systems to Support People with Visual Impairments
9.50 – 10.10Tackling Societal Problems of Climate Change with Machine Learning, Tegan Maharaj (MILA, Polytechnic Montreal); Sasha Luccioni (Mila); Kris Sankaran (Montreal Institute for Learning Algorithms)
10.10 – 10.30Temporal Knowledge Graph Completion, Rishab Goel (Borealis AI); Seyed Mehran Kazemi (Borealis AI); Marcus Brubaker (Borealis AI); Pascal Poupart (Borealis AI)
10.30 – 11.00Coffee break
11.00 – 11.20Verifying Individual Fairness in Neural Networks, Golnoosh Farnadi (Polytechnique Montreal); Behrouz Babaki (Polytechnique Montreal); Michel Gendreau (Polytechnique Montreal)
11.20 – 11.40Gradient-Based Neural DAG Learning, Sebastien Lachapelle (Mila, Université de Montréal); Philippe Brouillard (Mila); Tristan Deleu (Mila, Université de Montréal); Simon Lacoste-Julien (Mila, Université de Montréal)
11.40 – 12.00Deep learning techniques applied to thermal inspection of the underground distribution cables, Arnaud Zinflou (Hydro-Québec); Michel Trepanier (Hydro-Québec); Olfa Ben Sik Ali (Hydro-Québec); Luc Cauchon (Hydro-Québec); François Miralles (Hydro-Québec); Marc-Andre Magnan (Hydro-Québec); Jonathan Racine (Hydro-Québec)

12.00 – 13.30Lunch (provided)
13.30 – 14.10Keynote – Suchi Saria – Safety Challenges with Deep Learning and Novel Approaches for Failure Proofing
14.10 – 14.30Kotlin∇: A Shape Safe eDSL for Differentiable Functional Programming, Breandan M Considine (Mila); Liam Paull (Université de Montréal); Michalis Famelis (Université de Montréal)
14.30 – 14.50Recurrent Language Modeling with Multiplicative RNNs, Diego Maupomé (UQÀM); Marie-Jean Meurs (UQAM)
14.50 – 15.20Coffee Break
15.20 – 15.40Cardiac MRI Segmentation with Strong Anatomical Guarantees, Nathan Painchaud (Université de Sherbrooke); Youssef Skandrani (Universite de Bourgogne Franche-Comté); Thierry Judge (Université de Sherbrooke); Olivier Bernard (Creatis); Alain Lalande (Universite de Bourgogne Franche-Comté); Pierre-Marc Jodoin (Universite de Sherbrooke)

15.40 – 16.00Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning, Mahmoud Assran (McGill University / Facebook AI Research); Joshua Romoff (McGill University); Nicolas Ballas (Facebook FAIR); Joelle Pineau (Facebook); Mike Rabbat (Facebook FAIR)
16.00 – 16.20Reducing Noise in GAN Training with Variance Reduced Extragradient, Tatjana Chavdarova (Mila); Gauthier Gidel (Mila, Université de Montréal, Element AI); Francois Fleuret (Idiap Research Institute); Simon Lacoste-Julien (Mila, Université de Montréal)
16:20 – 17.00Panel – Artificial Intelligence at the Interface with Other Disciplines
17.00 – 20.00Poster Session + Happy Hour with Sponsors