Program

What you can expect

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Lectures and one-on-ones with world-class AI researchers

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Connect with talented researchers from across 45 countries and dozens of leading industries

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Discover the latest advances in deep learning and reinforcement learning

2022 themes //

Introduction to Neural Networks

Fundamentals of Deep Learning & Reinforcement Learning

Deep Reinforcement Learning

2022 Agenda // Topics/dates subject to change

  • Introduction to Neural Networks
  • Introduction to Optimization — Theory and Practice
  • Modern Architectures
  • Graph Neural Networks: Algorithms and Applications
  • Neural Network Training Dynamics
  • Causality
  • Introduction to Reinforcement Learning
  • Reinforcement Learning Theory
  • Beyond Model-Free Reinforcement Learning
  • Deep Reinforcement Learning
  • Introduction to Multiagent Reinforcement Learning
  • Better Experiments in RL
  • Robotics
  • Lifelong Learning
  • Introduction to Uncertainty in Deep Learning
  • Explainability
  • Scaling up Data and Models

Sponsor the DLRL Summer School

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. 

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“The #DLRL Summer School is a place of learning at the highest scientific level in world-changing research areas but also an opportunity for networking, creating connections which can stay for life and fuel future collaborations.”

Yoshua Bengio

Canada CIFAR AI Chair, Mila | Co-Director, CIFAR Learning in Machines & Brains Program |
Scientific Director, IVADO | Scientific Director, Mila | Professor, Université de Montréal
Elissa Strome, Associate Vice-President, Research & Executive Director of the Pan-Canadian AI Strategy at CIFAR

“The Summer School has become a beacon for top AI students and experts from around the world. We’re excited to showcase what makes Canada a global leader in the field of AI.”

Elissa Strome

Executive Director,
Pan-Canadian AI Strategy at CIFAR
Kyunghyun Cho

“I attended DLRL early in my career. The lectures were amazing and provided an opportunity to have close interaction among the participants, and it was at that point that I decided I wanted to continue to do research full time in the area of deep learning.”

Kyunghyun Cho

Associate Professor, New York University; Fellow in the CIFAR
Learning in Machines & Brains program, CIFAR Azrieli Global Scholar 2017-2019
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“Beyond the learning and networking opportunities, [the #DLRL Summer School] showcases the rich AI ecosystem we enjoy in Canada. It's been a major factor in encouraging some of the brightest minds to launch their research careers here.”

Graham Taylor

CIFAR Learning in Machines & Brains;
Canada CIFAR AI Chair, Vector Institute, University of Guelph
Alona Fyshe

“[The #DLRL] is a wonderful opportunity to bring the AI leaders of tomorrow together for a fun and immersive learning experience. It’s also a great way to showcase the depth of AI knowledge and expertise that exists in Canada.”

Alona Fyshe

CIFAR Learning in Machines & Brains;
Canada CIFAR AI Chair, Amii, University of Alberta
CIFAR Azrieli Global Scholar 2016-2018
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