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 - February 29, 2024 - Pascal Poupart VIDEO
CAIDA Talk - February 27, 2024 - Quanquan Gu VIDEO
CAIDA Talk - February 26, 2024 - Sarath Chandar VIDEO
CAIDA Talk - February 23, 2024 - Michael Bronstein VIDEO
CAIDA Talk - February 21, 2024 - Hongyang Zhang 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.
2023 Videos: Name/Video Link Date Talk Information Young Min Kim June 23, 2023 Reconstructing and Synthesizing 3D Scenes Boyang Albert Li June 26, 2023 Multimodal AI in the Era of Gigantic Pretrained Language Models: Challenges and (Some) Remedies Björn Ommer June 23, 2023 Generative AI, Stable Diffusion, and the Revolution in Visual Synthesis (PLAI Talk)Qi Lei July 11, 2023 Reconstructing Training Data from Model Gradient, Provably Juan Wachs October 11, 2023 Gore Robots: From Blood and Guts to Bits and Bytes Serena Wang November 30, 2023 Operationalizing Counterfactual Metrics: Incentives, Ranking, and Information Asymmetry
2022 Videos: 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