You can see all of our recorded events below as well as on our YouTube channel . Please note that not all of our events are recorded. If you would like to be notified about our upcoming events, please contact admin@caida.ubc.ca to be added to our email list.
CAIDA Talk - November 30, 2023 - Serena Wang
VIDEO
CAIDA Talk - October 11, 2023 - Juan Wachs
VIDEO
PLAI Talk - June 23, 2023 - Björn Ommer
VIDEO
CAIDA Talk - July 11, 2023 - Qi Lei
VIDEO
CAIDA Talk - June 26, 2023 - Boyang Albert Li
VIDEO
CAIDA Talk - June 23, 2023 - Young Min Kim
VIDEO
CAIDA Talk - September 20, 2022 - Kameron Decker Harris
VIDEO
CAIDA Talk - August 29, 2022 - Gautam Kamath
VIDEO
CAIDA Talk - June 21, 2022 - Justin Hart
VIDEO
CAIDA Talk - May 18, 2022 - Tor Aamodt
VIDEO
CAIDA Talk - March 15, 2022 - Jonathan Herington
VIDEO
CAIDA Talk - March 1, 2022 - Caroline Uhler
VIDEO
To watch CAIDA’s older videos, please follow the links below or check out our YouTube channel . Please note that not all of our events are recorded.
2021 Videos:
Name/Video Link
Date
Talk Information
Hsuan Tien Lin
January 14, 2021
Active Learning by Learning
Richard (Hao) Zhang
February 22, 2021
Learning Generative Models of 3D Shapes: From Implicit Functions to Structured Representations
Giacomo Calzolari
March 15, 2021
Algorithmic collusion with imperfect monitoring
Benjamin Bloem-Reddy
March 31, 2021
Invariance in machine learning methods: What, why, and then?
Marcus Brubaker
April 27, 2021
Normalizing Flows in Theory and Practice
Virtual "Lab Tours"
May 6, 2021
CAIDA Open House 2021
Keynote: Trevor Campbell
May 6, 2021
CAIDA Open House 2021
Keynote: Alla Sheffer
May 6, 2021
CAIDA Open House 2021
Panel Discussion
May 6, 2021
CAIDA Open House 2021
Hua Ki’i - A Prototype for Developing Ethical Indigenous AI
May 13, 2021
Hua Ki’i - A Prototype for Developing Ethical Indigenous AI
Saeed Ghadimi
June 7, 2021
Nonconvex Stochastic Nested Optimization
Philippe Pasquier
June 22, 2021
Creative AI: on the partial or complete automation of creative tasks
Deepak Pathak
July 28, 2021
Robots that Rapidly Adapt to Diverse Tasks and Environments
Marcus Arvan
September 16, 2021
Artificial Moral Agency and the New Control Problem
Tal Arbel
September 21, 2021
Modelling and Propagating Uncertainties in Machine Learning for Medical Images Acquired from Patients with Neurological Diseases
Sham Kakade
September 27, 2021
The Provable Effectiveness of Policy Gradient Methods in Reinforcement Learning and Controls
Mark Ansermino
October 5, 2021
SMART QI- AI supported precision public health for sepsis in children
Philip Nickel
October 27, 2021
Trust, discretion, and AI
Algorithmic Bias Panel Discussion
November 4, 2021
Building an Ethical Algorithmic World
Max Welling
November 16, 2021
Deep learning for the Physical Sciences
Richard Zemel
November 22, 2021
Learning Novel Classes and Attributes While Wandering Within a World
Rogerio Feris
November 30, 2021
Computational Visual Pathways for Multi-Task Learning and Simulation
2020 Videos:
Name/Video Link
Date
Talk Information
Aline Talhouk
January 24, 2020
Large-scale federated and privacy-preserving Evaluation & Analysis Platform (LEAP)
Artificial Intelligence: The next decade
January 30, 2020
Artificial Intelligence: The next decade
Julian Savulescu
February 24, 2020
The Ethics of Artificial Intelligence: Moral Machines
Ben Shneiderman
March 2, 2020
Human-Centered Artificial Intelligence: Trusted, Reliable and Safe
Martha White
June 15, 2020
Rethinking the Objective for Policy Optimization in Reinforcement Learning
Jason Lee
June 22, 2020
Beyond Linearization in Neural Networks
Eldad Haber
July 13, 2020
Active learning and A-Optimal Experimental Design
Kyunghyun Cho
July 20, 2020
Inconsistency of a Recurrent Language Model: A Question I Forgot to Ask in 2014
Helge Rhodin
August 20, 2020
Playing with Visual AI
Hugo Larochelle
August 24, 2020
Meta-Learning - A Roadmap for Few-Shot Transfer Learning
Naman Agarwal
October 5, 2020
The Non-Stochastic Control Framework
Pascal Poupart
October 22, 2020
Are we experiencing a technological singularity?
Jimmy Ba
October 23, 2020
Intuitive Understanding of Generalization in Neural Networks
Daniel Roy and Jeffrey Negrea
October 26, 2020
In Defense of Uniform Convergence: Generalization via derandomization with an application to interpolating predictors
Marc G. Bellemare
November 18, 2020
A tour of distributional reinforcement learning
Health Stream
November 25, 2020
Emerging Technologies: BC's AI Showcase
Manufacturing Stream
November 25, 2020
Emerging Technologies: BC's AI Showcase
Fundamental Science Stream
November 25, 2020
Emerging Technologies: BC's AI Showcase
Panel Discussion
November 25, 2020
Emerging Technologies: BC's AI Showcase
Ke Li
December 2, 2020
Overcoming Mode Collapse and the Curse of Dimensionality
Molly Crocket, Jay Van Bavel, Regina Rini
December 9, 2020
The Psychological, Philosophical and Ethical Perils of Social Media: A Discussion
2019 Videos:
Name/Video Link
Date
Talk Information
George Dyson
March 8, 2019
Artificial Intelligence: From Analog to Digital and Back
Ben Recht
May 9, 2019
The Merits of Models in Continuous Reinforcement Learning
Evan Selinger
September 23, 2019
Banning Face Surveillance
Mark Crowley
November 4, 2019
Machine Learning for Modelling and Decision Making in Complex Physical Domains
Colin Fox
November 22, 2019
Polynomial acceleration of Gibbs sampling (from probability distributions)
David Duvenaud
December 6, 2019
Neural Stochastic Differential Equations for Irregularly-Sampled Time Series
Graham Taylor
December 6, 2019
On Conditional Generative Adversarial Networks: Iterative Generation and Holistic Evaluation
Sergey Levine
December 9, 2019
Embodied Learning as a Path to Intelligent Machines
Mohamed H. Elhoseiny
December 16, 2019
Imagination Inspired Vision
Frank Hutter
December 16, 2019
Recent Advances in Neural Architecture Search
Zachary Chase Lipton
December 16, 2019
Robust Deep Learning Under Distribution Shift
Will Hamilton
December 16, 2019
Graph Neural Networks and Graph Isomorphism
Alexander Schwing
December 16, 2019
Learning to Anticipate
Emtiyaz Khan
December 16, 2019
Learning-Algorithms from Bayesian Principle
N. Siddharth
December 16, 2019
2018 Videos:
Name/Video Link
Date
Talk Information
Kieran R Campbell
September 26, 2018
What Should I Measure Next? Expected Entropy of Posterior Search for Optimal Sequential Feature Acquisition
Kevin Leyton Brown
October 25, 2018
Economics and Computer Science of a Radio Spectrum Reallocation