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Friday, August 3, 2018 11:00 am - 11:00 am EDT (GMT -04:00)

Master’s Thesis Presentation • Data Systems — Refresh Strategies for Continuous Active Learning

Nimesh Ghelani, Master’s candidate
David R. Cheriton School of Computer Science

High recall information retrieval is crucial to tasks such as electronic discovery and systematic review. Continuous Active Learning (CAL) is a technique where a human assessor works in loop with a machine learning model; the model presents a set of documents likely to be relevant and the assessor provides relevance feedback. 

Tuesday, August 7, 2018 10:30 am - 10:30 am EDT (GMT -04:00)

Seminar • Software Engineering — A rerun of "The Prehistory and History of RE (+SE) as Seen by Me"

Daniel M. Berry
David R. Cheriton School of Computer Science

Dan Berry weaves the twin peaks of (1) his life in computing, programming, programming languages, software engineering, electronic publishing, and requirements engineering with (2) the almost concurrent development of programming languages, software engineering, and requirements engineering.

Thursday, August 9, 2018 10:00 am - 10:00 am EDT (GMT -04:00)

Master’s Thesis Presentation • Artificial Intelligence — Disentangled Representation Learning for Stylistic Variation in Neural Language Models

Vineet John, Master’s candidate
David R. Cheriton School of Computer Science

This thesis tackles the problem of disentangling the latent style and content variables in a language modelling context. This involves splitting the latent representations of documents by learning which features of a document are discriminative of its style and content, and encoding these features separately using neural network models.

Monday, August 13, 2018 10:00 am - 10:00 am EDT (GMT -04:00)

Master’s Thesis Presentation • Data Systems — Serverless Data Analytics with Flint

Youngbin Kim, Master’s candidate
David R. Cheriton School of Computer Science

AbstractServerless architectures organized around loosely-coupled function invocations represent an emerging design for many applications. Recent work mostly focuses on user-facing products and event-driven processing pipelines. 

Wednesday, August 15, 2018 1:30 pm - 1:30 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Algorithms and Complexity — The Complexity of Network Design for s-t Effective Resistance

Pak Hay Chan, Master’s candidate
David R. Cheriton School of Computer Science

We consider a new problem of designing a network with small $s$-$t$ effective resistance. In this problem, we are given an undirected graph $G=(V,E)$ where each edge $e$ has a cost $c_e$ and a resistance $r_e$, two designated vertices $s,t \in V$, and a cost budget $k$.