AI & Fundamentals
Robust Deep Learning Under Distribution Shift - Zachary Chase Lipton, Assistant Professor, Carnegie Mellon University
Robust Deep Learning Under Distribution Shift - Zachary Chase Lipton, Assistant Professor, Carnegie Mellon University
Abstract: We might hope that when faced with unexpected inputs, well-designed software systems would fire off warnings. However, ML systems, which depend strongly on properties of their inputs (e.g. the i.i.d. assumption), tend to fa...
General Event
Networking Lunch
Networking Lunch
Come and join us for lunch between some of our seminars! All are welcome.
AI & Fundamentals
Graph Neural Networks and Graph Isomorphism - Will Hamilton, Assistant Professor, McGill University
Graph Neural Networks and Graph Isomorphism - Will Hamilton, Assistant Professor, McGill University
Abstract: In recent years, graph neural networks (GNNs) have emerged as a powerful neural architecture to learn vector representations of nodes and graphs in a supervised, end-to-end fashion. However, GNNs ...
AI & Fundamentals
Learning to Anticipate - Alex Schwing, Assistant Professor, University of Illinois
Learning to Anticipate - Alex Schwing, Assistant Professor, University of Illinois
Abstract: Despite significant progress in recent years, autonomous agents like speakers or cars are far from participating robustly and safely in our environment, largely because they lack an ability to anticipate. We argue that this is...
AI & Fundamentals
Learning-Algorithms from Bayesian Principle - Emtiyaz Khan, Visiting Professor, TUAT, Team Leader at RIKEN Center for AIP
Learning-Algorithms from Bayesian Principle - Emtiyaz Khan, Visiting Professor, TUAT, Team Leader at RIKEN Center for AIP
Abstract: In machine learning, new learning algorithms are designed by borrowing ideas from optimization and statistics followed by an extensive empirical efforts to make them practical. However, there is a lack of underlying principles...
Seminar
Green College Special Lecture Series - ARTIFICIAL INTELLIGENCE: THE JOURNEY SO FAR, AND THE WORLD IN 2029 - Kevin Leyton-Brown
Green College Special Lecture Series - ARTIFICIAL INTELLIGENCE: THE JOURNEY SO FAR, AND THE WORLD IN 2029 - Kevin Leyton-Brown
Abstract: Artificial intelligence is already moving from science fiction to reality, and Canadian scientists are leading the way. (Canada was the first country in the world to develop a “national AI strategy.”) Kevin Leyton-Brown, Direc...
AI & Applications
Large-scale federated and privacy-preserving Evaluation & Analysis Platform (LEAP) - Aline Talhouk, Assistant Professor, UBC
Large-scale federated and privacy-preserving Evaluation & Analysis Platform (LEAP) - Aline Talhouk, Assistant Professor, UBC
Abstract: Background: Learning from medical data can enable personalization of patient treatment and improve understanding of disease. Health data are naturally distributed across institutions, but traditionally had to be centralized to...
AI & Fundamentals
Machine learning for genomic medicine: Uncovering hidden structure to derive meaningful relationships - Sara Mostafavi, Assistant Professor, UBC
Machine learning for genomic medicine: Uncovering hidden structure to derive meaningful relationships - Sara Mostafavi, Assistant Professor, UBC
Bio: Sara Mostafavi is an Assistant Professor at the Department of Statistics and the Department of Medical Genetics at University of British Columbia (UBC), and a faculty member at the Vector Institute. She holds a Canada Research Chai...
General Event
Artificial Intelligence: The next decade
Artificial Intelligence: The next decade
Full details and RSVP here. Join cognitive scientist, entrepreneur, and best-selling author Gary Marcus as he delves into the future of artificial intelligence. What areas are poised for breakthroughs? What new technologies will...
AI & Ethics
The Ethics of Artificial Intelligence: Moral Machines - Julian Savulescu, Uehiro Chair in Practical Ethics, University of Oxford
The Ethics of Artificial Intelligence: Moral Machines - Julian Savulescu, Uehiro Chair in Practical Ethics, University of Oxford
Abstract: A famous dilemma in philosophy asks whether, if you were on an out of control train speeding towards 5 people on the railway line, you should pull a lever to switch to another track where there is only 1 person. Autonomous car...