Deep Learning Summer School and Reinforcement Learning Summer School

DLSS: June 26th - July 1st, 2017 & RLSS: July 3rd - 5th, 2017

DLSS Schedule

6/26/2017
6/27/2017
6/28/2017
6/29/2017
6/30/2017
7/1/2017
9:00 10:30Doina PrecupYoshua BengioMike OsborneAaron CourvilleBlake RichardsNando deFreitas
Machine LearningRNNsAI Impact on JobsGenerative Models IIComputational Neuroscience ILearning to Learn
10:30 11:00Coffee BreakCoffee BreakCoffee BreakCoffee BreakCoffee BreakCoffee Break
11:00 12:30Hugo LarochelleMike OsborneRich ZemelPhil BlunsomSurya GanguliMatt Johnson
Neural Networks 1Probabilistic NumericsIntroduction to CNNsNatural Language Understanding IComputational Neuroscience II and Deep Learning TheoryAutomatic Differentiation
12:30 14:30LunchLunchLunchLunchLunchLunch
14:30 16:00Hugo LarochelleIan GoodfellowRaquel UrtasunPhil BlunsomMax WellingMatt Johnson
Neural Networks 2Generative Models IStructured Models/Advanced VisionNatural Language Processing IIApproximate InferenceCombining Graphical Models and Deep Learning
16:00 16:30Coffee BreakCoffee BreakCoffee BreakCoffee BreakCoffee BreakCoffee Break
16:30 18:00TensorFlowTheanoTorch/PyTorchContributed Talks 1Contributed Talks 2Contributed Posters
18:00Google Happy HourAI in Toronto:
CDL/NextAI/VI/RBC
Cocktail from Element AI and TandemLauch

RLSS Schedule

7/3/2017
7/4/2017
7/5/2017
9:00 10:30Joelle PineauNando de FreitasSatinder Singh
Reinforcement LearningDeep LearningReinforcement Learning
10:30 11:00Coffee BreakCoffee BreakCoffee Break
11:00 12:30Pieter AbbeelHado van HasseltPhilip Thomas
Policy Search for RLDeep LearningSafe RL
12:30 14:30LunchLunchLunch
14:30 16:00Rich SuttonCsaba SzepesvariNicolas Le Roux
TD LearningTheory of RLApplications of bandits and recommendation systems
16:00 16:30Coffee BreakCoffee BreakCoffee Break
16:30 18:00Practical SessionContributed PostersContributed Talks
(Ends at 17:00)