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

2021 Agenda // updates will be made as they become available

  • DLRLSS Welcome Remarks & Social
  • Introduction to Neural Networks
  • Introduction to Optimization — Theory and Practice
  • Modern Architectures
  • Graph Neural Networks: Algorithms and Applications
  • Poster Session
  • Speaker/Trainee Networking
  • Neural Network Training Dynamics
  • Active Learning for Black-Box Optimization and Learning to Search
  • Raising Money For Your AI Startup From World-Leading AI VCs
  • Introduction to Reinforcement Learning
  • Speaker/Trainee Networking
  • Reinforcement Learning Theory
  • Deep Reinforcement Learning
  • Beyond Model-Free Reinforcement Learning
  • Better Experiments in RL
  • Doing Some Good With Machine Learning
  • Career Fair
  • Speaker/Trainee Networking
  • Introduction to Multiagent Reinforcement Learning
  • Optimization in RL
  • Robotics
  • Speaker/Trainee Networking
  • Self-supervised Learning: A Landmark Towards Self-Learning Visual Models and Agents
  • Lifelong Learning
  • Cognitive Neuroscience: What AI Can Learn From 3-Year-Olds
  • Speaker/Trainee Networking
  • Introduction to Uncertainty in Deep Learning
  • Explainability
  • Speaker/Trainee Networking
  • Scaling up Data and Models
  • Closing Remarks & Social

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, Co-Director of the CIFAR Learning in Machines & Brains;
Scientific Director at Mila
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
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“The DLRL Summer School is an unparalleled opportunity for these young people to both learn from, and network with, the scientists who can help them launch their careers in AI.”

Blake Richards

Canada CIFAR AI Chair; Mila;
Fellow in the CIFAR Learning in Machines & Brains program
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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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