Program

Thank you to our sponsors

Telus, RBC, GPTZero, MDA Space, National Research Council Canada, Natural Resources Canada, OPG, Osler, Radical Ventures, Roche, TD
Telus, RBC, GPTZero, MDA Space, National Research Council Canada, Natural Resources Canada, OPG, Osler, Radical Ventures, Roche, TD

2024 AGENDA //  

  • Intro to Neural Networks — Sarath Chandar
  • AI for Science — Sara Beery
  • Introduction to RL (part 1) — Rupam Mahmood
  • Introduction to RL (part 2) — Kelsey Allen
  • Introduction to NLP — Victor Zhong
  • Graph Neural Networks — Renjie Liao
  • Panel on AI Safety — Sheila McIlraith, Roger Grosse, Joanna Redden; Moderator: Gus Skorburg
  • Generative Vision — David Fleet
  • RL and Games — Marlos Machado
  • Indigenous Cultural Safety Training — Opening Remarks: pre-recorded by Ridge Road and Lynnsey Chartrand; Facilitators: CIFAR & Vector Institute
  • Robotics — Florian Shkruti
  • Climate Change and AI — Sasha Luccioni
  • Language and vision in 3D — Angel Chang
  • Optimization — Courtney Paquette
  • Self-Driving Lab — Alán Aspuru-Guzik
  • Causality — Rahul Krishnan
  • Economics of AI — Joshua Gans
  • Music and AI – Interactive Activity — Pablo Castro
  • AI Ethics — Regina Rini
  • AI for Health — Anna Goldenberg
  • Game-theoretic Aspects of ML — Nisarg Shah
  • Healthcare AI — Michael Brudno
  • AI Alignment — David Duvenaud
  • Breakout Discussion Sessions 
  • Socially Aware NLP — Diyi Yang
  • Prompt Engineering Workshop — David Emerson
  • Privacy — Xiaoxiao Li
  • RL — Audrey Durand
See video highlights & speakers from previous years
testimonial-yoshua-bengio

“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
Kimberly Nestor

“Attending DLRL 2023 was such an enriching summer school experience! I had a great time academically and it allowed me to expand my knowledge about the field. I made lifelong friends and connections, while learning about potential internships and postdoctoral opportunities.”

Kimberly Nestor

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
D'jeff Kanda Nkashama

“What struck me the most was the commitment of the DLRL summer school organizers to foster inclusive AI. As a member of a minority visible group, I was fortunate to receive the CIFAR Inclusive AI scholarship that enabled me to participate fully in this enriching program. Throughout the summer school, I delved into various aspects of machine learning, spanning optimization, computer vision, natural language processing, as well as ethical AI and AI safety. The breadth and depth of knowledge covered were truly impressive.”

D'jeff Kanda Nkashama

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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