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Tuesday, January 3, 2023 11:00 am - 12:00 pm EST (GMT -05:00)

Master’s Thesis Presentation • Systems and Networking • Adapting to Data Drift in Encrypted Traffic Classification Using Deep Learning

Please note: This master’s thesis presentation will take place online.

Navid Malekghaini, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Raouf Boutaba

Tuesday, January 10, 2023 9:00 am - 12:00 pm EST (GMT -05:00)

PhD Defence • Natural Language Processing • Novel Methods for Natural Language Modeling and Pretraining

Please note: This PhD defence will take place online.

He (Richard) Bai, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Ming Li

This thesis is about modeling text and speech sequences to achieve lower perplexity, better generation, and benefit downstream language tasks; specifically, we address the problem of modeling natural language sequences (text and speech) with Transformer-based language models. We present three new techniques that improve sequence modeling in different ways.

Wednesday, January 11, 2023 10:30 am - 12:00 pm EST (GMT -05:00)

DLS: Sheila McIlraith — Reward Machines: Formal Languages and Automata for Reinforcement Learning

Please note: This distinguished lecture will take place in DC 1302 as well as livestreamed over Zoom.

Sheila McIlraith
Professor, Department of Computer Science, University of Toronto
Canada CIFAR AI Chair, Vector Institute for Artificial Intelligence
Associate Director and Research Lead, Schwartz Reisman Institute for Technology and Society

Friday, January 13, 2023 9:30 am - 12:30 pm EST (GMT -05:00)

PhD Defence • Artificial Intelligence | Natural Language Processing • Efficient Inference of Transformers in Natural Language Processing: Early Exiting and Beyond

Please note: This PhD defence will take place online.

Ji Xin, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Jimmy Lin, Yaoliang Yu

Friday, January 13, 2023 2:00 pm - 3:00 pm EST (GMT -05:00)

Master’s Thesis Presentation • Systems and Networking • 5G RAN/MEC Slicing and Admission Control using Deep Reinforcement Learning

Please note: This master’s thesis presentation will take place online.

Arash Moayyedi, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Raouf Boutaba