2021 Speakers
Canada CIFAR AI Chair | Associate Fellow, Learning in Machines & Brains | Research Scientist, Google Brain | Core Industry Member, Mila | Adjunct Professor, McGill University
DEEP REINFORCEMENT LEARNING
Canada CIFAR AI Chair | Co-Director, CIFAR Learning in Machines & Brains | Scientific Director, IVADO | Scientific Director, Mila | Professor, Université de Montréal
ACTIVE LEARNING FOR BLACK-BOX OPTIMIZATION AND LEARNING TO SEARCH
Fellow, CIFAR Learning in Machines & Brains | CIFAR Azrieli Global Scholar 2017-2019 | Associate Professor, New York University
MODERN ARCHITECTURES
Professor, University of California, Berkeley
COGNITIVE NEUROSCIENCE: WHAT AI CAN LEARN FROM 3-YEAR-OLDS
Canada CIFAR AI Chair | Faculty Member, Vector Institute | Assistant Professor, University of Toronto
DYNAMICS OF NEURAL NETWORK
Principal Researcher, Microsoft Research | Core Industry Member, Mila
SELF-SUPERVISED LEARNING: A LANDMARK TOWARDS SELF-LEARNING VISUAL MODELS AND AGENTS
Co-Founder and Managing Partner, Radical Ventures
RAISING MONEY FOR YOUR AI STARTUP FROM WORLD-LEADING AI VCs
Staff Research Scientist, Google Brain
INTRODUCTION TO UNCERTAINTY IN DEEP LEARNING
Canada CIFAR AI Chair | Associate Fellow, CIFAR Learning in Machines & Brains | Lead, Google Brain | Core Industry Member, Mila | Adjunct Professor, Université de Montréal
INTRODUCTION TO NEURAL NETWORKS
Canada CIFAR AI Chair | Research Scientist, Google Brain | Core Industry Member, Mila | Adjunct Professor, McGill University
INTRODUCTION TO OPTIMIZATION — THEORY AND PRACTICE
Principal Researcher, Microsoft Research | Adjunct Professor, Stanford University
DOING SOME GOOD WITH MACHINE LEARNING
Canada CIFAR AI Chair | Advisor, CIFAR Learning in Machines & Brains | Lead, Facebook AI Research Lab | Core Academic Member, Mila | Associate Professor, McGill University
BETTER EXPERIMENTS IN RL
Canada CIFAR AI Chair | Senior Fellow, CIFAR Learning in Machines & Brains | Research Team Lead, DeepMind | Core Academic Member, Mila | Associate Professor, McGill University
BEYOND MODEL-FREE REINFORCEMENT LEARNING
Assistant Professor, University of North Carolina, Chapel Hill
SCALING UP DATA AND MODELS
Canada CIFAR AI Chair | Core Academic Member, Mila | Associate Professor, Université de Montréal
LIFELONG LEARNING
Canada CIFAR AI Chair | Faculty Member, Vector Institute | Assistant Professor, University of Toronto
ROBOTICS
Canada CIFAR AI Chair | Associate Fellow, CIFAR Learning in Machines & Brains | Distinguished Research Scientist, DeepMind | Chief Scientific Advisor, Amii | Professor, University of Alberta
INTRODUCTION TO REINFORCEMENT LEARNING
Canada CIFAR AI Chair | Senior Staff Research Scientist, DeepMind | Fellow, Amii | Professor, University of Alberta
REINFORCEMENT LEARNING THEORY
Canada CIFAR AI Chair | Core Academic Member, Mila | Assistant Professor, HEC Montréal
GRAPH NEURAL NETWORKS: ALGORITHMS AND APPLICATIONS
Canada CIFAR AI Chair | Fellow, Amii | Director of RLAI, Professor, University of Alberta
OPTIMIZATION IN RL
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The DLRL Summer School is a premier opportunity for institutions, companies and organizations to play a significant role in supporting the next generation of AI talent and building a diverse and prosperous future in AI for Canada.
