General Event
CAIDA Faculty Lunch - November 2023
CAIDA Faculty Lunch - November 2023
Our monthly faculty lunch allows our members to connect and encourages future interdisciplinary collaborations. This event is for CAIDA Faculty Members only and requires registration. If you are a UBC faculty member working i...
AI & Fundamentals
Achieving Codec Telepresence - Michael Zollhoefer, Director, Reality Labs Research (RL-R), Meta
Achieving Codec Telepresence - Michael Zollhoefer, Director, Reality Labs Research (RL-R), Meta
Abstract: Imagine two people living in different parts of the world. Wouldn’t it be amazing if they could communicate and interact with each other as if they were co-present in the same room? Enabling such an experience virtually, i.e.,...
Seminar
Vancouver Institute Talk - Understanding Artificial Intelligence - Kevin Leyton-Brown, Professor, UBC
Vancouver Institute Talk - Understanding Artificial Intelligence - Kevin Leyton-Brown, Professor, UBC
Dr. Kevin Leyton-Brown’s research addresses issues in computational game theory; also in market design, analysis and clearing, as well as the application of machine learning to the automated design and analysis of algorithms for solving...
AI & Fundamentals
Operationalizing Counterfactual Metrics: Incentives, Ranking, and Information Asymmetry - Serena Wang, PhD Student, UC Berkeley
Operationalizing Counterfactual Metrics: Incentives, Ranking, and Information Asymmetry - Serena Wang, PhD Student, UC Berkeley
Abstract: From the social sciences to machine learning, it has been well documented that metrics to be optimized are not always aligned with social welfare. In healthcare, Dranove et al. (2003) showed that publishing surgery mortality m...
General Event
TrustML for Society - December
TrustML for Society - December
The Trustworthiness of Machine-Learning-Based Systems (TrustML) Research Cluster is hosting the following event: TrustML for Society brings together leading researchers and practitioners interested in building trustworthy machine learn...
General Event
CAIDA Faculty Lunch - December 2023
CAIDA Faculty Lunch - December 2023
Our monthly faculty lunch allows our members to connect and encourages future interdisciplinary collaborations. This event is for CAIDA Faculty Members only and requires registration. If you are a UBC faculty member working i...
General Event
CAIDA Faculty Lunch - February 2024
CAIDA Faculty Lunch - February 2024
Our monthly faculty lunch allows our members to connect and encourages future interdisciplinary collaborations. This event is for CAIDA Faculty Members only and requires registration. If you are a UBC faculty member working i...
AI & Fundamentals
New Advances in Safe and Efficient Large Language Models - Hongyang Zhang, Assistant Professor, University of Waterloo
New Advances in Safe and Efficient Large Language Models - Hongyang Zhang, Assistant Professor, University of Waterloo
Zoom LinkAbstract:Recent strides in large language models (LLMs) have underscored the critical importance of addressing both AI safety and decoding efficiency. In the first segment of this talk, we delve into the integration of self-eval...
AI & Fundamentals
A Physical perspective on Graph Neural Networks - Michael Bronstein, Professor, University of Oxford
A Physical perspective on Graph Neural Networks - Michael Bronstein, Professor, University of Oxford
Zoom Link Abstract:The message-passing paradigm has been the “battle horse” of deep learning on graphs for several years, making graph neural networks a big success in a wide range of applications, from particle physics to protein d...
AI & Fundamentals
Memory-augmented Optimizers for Deep Learning and Lifelong Learning - Sarath Chandar, Assistant Professor, Polytechnique Montreal
Memory-augmented Optimizers for Deep Learning and Lifelong Learning - Sarath Chandar, Assistant Professor, Polytechnique Montreal
Zoom Link Abstract:In this talk, I will introduce the idea of adding external memory to standard optimization methods to improve their performance in deep learning and lifelong learning. In the first part of this talk, I will focus ...