Events

Please note: This talk will be given online.

Pamela Wisniewski, Associate Professor
Department of Computer Science, University of Central Florida

Please note: This seminar will be presented in person in DC 1304 as well as streamed online.

Tomáš Vinař, Department of Applied Informatics
Comenius University in Bratislava, Slovakia

Please note: This PhD seminar will be given online.

Abhinav Bommireddi, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Eric Blais

Kai Li
Paul M. Wythes '55, P'86 and Marcia R. Wythes P'86 Professor
Department of Computer Science, Princeton University

Please note: This PhD seminar will be given online.

Brad Glasbergen, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Khuzaima Daudjee

Data systems are known for their complexity; they contain a vast number of features and configuration parameters to support different use cases. As no single data system can efficiently process all workload types, administrators face a daunting task:

Please note: This PhD seminar will be given online.

Abhinav Bommireddi, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Eric Blais

Please note: This seminar will be given online and recorded. Please register to attend.

Kaladhar Voruganti, Senior Fellow
Technology and Architecture, Office of the CTO, Equinix

Please note: This PhD seminar will be given online.

Abhinav Bommireddi, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Eric Blais

A body K ⊂ Rⁿ is convex if and only if the line segment between any two points in K is completely contained within K or, equivalently, if and only if the convex hull of a set of points in K is contained within K.

Please note: This PhD seminar will be given online.

Wei Zhong, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Jimmy Lin

Please note: This PhD seminar will be given online.

Yuqing Xie, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Ming Li, Jimmy Lin

I would like to share the work I did during the internship with AWS AI about Backward-Compatibility NLP models. Behavior of deep neural networks can be inconsistent between different versions. Regressions during model update are a common cause of concern that often over-weigh the benefits in accuracy or efficiency gain.