PhD Seminar • Artificial Intelligence • Robust Embeddings Via Distributions
Please note: This PhD seminar will take place online.
Kira Aveline Selby, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Pascal Poupart
Kira Aveline Selby, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Pascal Poupart
Silvia Sellán, PhD candidate
Department of Computer Science, University of Toronto
Computer Graphics research has long been dominated by the interests of large film, television and social media companies, forcing other, more safety-critical applications (e.g., medicine, engineering, security) to repurpose Graphics algorithms originally designed for entertainment.
Sheng-Chieh (Jack) Lin, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Jimmy Lin
Contrastive learning is a commonly used technique to train an effective neural retrieval model; however, it requires much computation resources (i.e., multiple GPUs or TPUs).
Shaokai Wang, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Bin Ma
Ibrahim Numanagić
Canada Research Chair in Data Science and Computational Biology
Assistant Professor, Department of Computer Science
University of Victoria
Aarti Malhotra, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Jesse Hoey
Robert Wang, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Lap Chi Lau
Andrew Ilyas, PhD candidate
Department of Electrical Engineering and Computer Science, MIT
Nils Lukas, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Florian Kerschbaum
Yan Shvartzshnaider, Assistant Professor
Department of Electrical Engineering and Computer Science
Lassonde School of Engineering, York University