Future undergraduate students

Professor Kate Larson has been appointed a University Research Chair in recognition of her outstanding research contributions to the field of artificial intelligence. Waterloo’s designation of University Research Chair recognizes exceptional achievement of faculty and their pre-eminence in a field of knowledge.

Professor Robin Cohen is one of four faculty members to receive a 2019 Distinguished Teacher Award, the University of Waterloo’s most prestigious honour for teaching excellence. The Distinguished Teacher Awards will be presented by Mario Coniglio, associate vice-president, academic, at the June convocation ceremony.

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Professor Shai Ben-David and his colleagues Pavel Hrubes, Shay Moran, Amir Shpilka and Amir Yehudayoff have shown that a simple machine learning problem — whether an algorithm can extract a pattern from limited data — is mathematically unsolvable because it is linked to inherent shortcomings of mathematics discovered by Austrian mathematician Kurt Gödel in the 1930s.

Friday, December 14, 2018 3:00 pm - 3:00 pm EST (GMT -05:00)

PhD Seminar: Progressive Memory Banks for Incremental Domain Adaptation

Nabiha Asghar, PhD candidate
David R. Cheriton School of Computer Science

We address the problem of incremental domain adaptation (IDA). We assume each domain comes one after another, and that we could only access data in the current domain. The goal of IDA is to build a unified model performing well on all the domains that we have encountered. We propose to augment a recurrent neural network (RNN) with a directly parameterized memory bank, which is retrieved by an attention mechanism at each step of RNN transition. The memory bank provides a natural way of IDA: when adapting our model to a new domain, we progressively add new slots to the memory bank, which increases the number of parameters, and thus the model capacity. 

Thursday, December 13, 2018 4:00 pm - 4:00 pm EST (GMT -05:00)

PhD Seminar: Beyond LIF: The Computational Power of Passive Dendritic Trees

Andreas Stöckel, PhD candidate
David R. Cheriton School of Computer Science

The artificial neurons typically employed in machine learning and computational neuroscience bear little resemblance to biological neurons. They are often derived from the “leaky integrate and fire” (LIF) model, neglect spatial extent, and assume a linear combination of input variables. It is well known that these simplifications have a profound impact on the family of functions that can be computed in a single-layer neural network. 

Professors Olga Veksler and Yuri Boykov joined the David R. Cheriton School of Computer Science earlier this year. Previously, both were full professors in the Department of Computer Science at Western University, where they were faculty members for 14 years.

Their research interests are in the area of computer vision. In particular, Olga’s interests are in visual correspondence and image segmentation, and Yuri’s also include 3D reconstruction and biomedical image analysis.