General Event
Algorithmic Bias Panel Discussion
Algorithmic Bias Panel Discussion
Please register for this event here. This Panel Discussion on Algorithmic Bias is the third and final installment of "Building an Ethical Algorithmic World: A 3-Part Series." Interested in the ethics of algorithms? Concern...
AI & Fundamentals
Deep learning for the Physical Sciences - Max Welling, Professor, University of Amsterdam
Deep learning for the Physical Sciences - Max Welling, Professor, University of Amsterdam
Please register for this event here. Abstract: A number of fields, most prominently speech, vision and NLP have been disrupted by deep learning technology. A natural question is: "which application areas will follow next?"...
AI & Fundamentals
Learning Novel Classes and Attributes While Wandering Within a World - Richard Zemel, Professor, University of Toronto
Learning Novel Classes and Attributes While Wandering Within a World - Richard Zemel, Professor, University of Toronto
Please register for this event here. Abstract: Real world learning scenarios involve a nonstationary distribution of classes with sequential dependencies among the samples, in contrast to the standard machine learning form...
AI & Fundamentals
Tractable Probabilistic Reasoning for Trustworthy AI - YooJung Choi, Ph.D. candidate, UCLA
Tractable Probabilistic Reasoning for Trustworthy AI - YooJung Choi, Ph.D. candidate, UCLA
Please register for this event here. Abstract: Automated decision-making systems are increasingly being deployed in areas with personal and societal impacts: from personalized ads to medical diagnosis and criminal justice....
AI & Fundamentals
Computational Visual Pathways for Multi-Task Learning and Simulation - Rogerio Feris, Principal Scientist and Manager, MIT-IBM Watson AI Lab
Computational Visual Pathways for Multi-Task Learning and Simulation - Rogerio Feris, Principal Scientist and Manager, MIT-IBM Watson AI Lab
Please register for this event here. Abstract: In this talk, I will describe approaches that learn data-dependent computational pathways for visual recognition. First, in the context of multi-task learning, I will show a m...
General Event
CAIDA Faculty Lunch - December 2021
CAIDA Faculty Lunch - December 2021
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
Causality and Autoencoders in the Light of Drug Repurposing for COVID-19 - Caroline Uhler, Associate Professor, MIT
Causality and Autoencoders in the Light of Drug Repurposing for COVID-19 - Caroline Uhler, Associate Professor, MIT
Please register for this event here. Abstract: Massive data collection holds the promise of a better understanding of complex phenomena and ultimately, of better decisions. An exciting opportunity in this regard stems from...
AI & Ethics
Can We Save Affective Computing? - Jonathan Herington, Assistant Professor, University of Rochester
Can We Save Affective Computing? - Jonathan Herington, Assistant Professor, University of Rochester
Please register for this event here. Abstract: Recently there has been a debate over the permissibility of research on automated emotion recognition (AER). On one side is the abolitionist view that this is bad scienc...
General Event
CAIDA Faculty Lunch - May 2022
CAIDA Faculty Lunch - May 2022
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 & Applications
Faster Learning on Slow Hardware - Tor Aamodt, Professor, UBC
Faster Learning on Slow Hardware - Tor Aamodt, Professor, UBC
Please register for this event here. We request that you register for this event, whether you plan to attend virtually or in-person. Abstract: Advances in hardware performance have yielded improvements in machine learning...