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Machine Learning Coffee seminar: Wray Buntine, Monash University "Something Old, Something New, Something Borrowed, Something Blue"

Helsinki region machine learning researchers will start our week by an exciting machine learning talk. Porridge and coffee is served at 9:00 and the talk will begin at 9:15.
Machine Learning Coffee Seminar, image: Matti Ahlgren

Something Old, Something New, Something Borrowed, Something Blue

Wray Buntine
Professor of Information Technology
Monash University

Abstact:

In this talk I will briefly describe (something old) some of our recent work with hierarchical probabilistic models that are not deep neural networks. Nevertheless, these are currently among the state of the art in classification and in topic modelling: k-dependence Bayesian networks and hierarchical topic models, respectively, and both are deep models in a different sense. On deep neural networks (something new), I will describe as a point of comparison some of the state of the art applications I am familiar with: multi-task learning and learning to learn. These build on the RNNs widely used in semi-structured learning. The old and the new are remarkably different. So what are the new capabilities deep neural networks have yielded? Do we even need the old technology? What can we do next? To complete the story, I’ll introduce some efforts to combine the two approaches (something borrowed), borrowing from earlier work in statistics. Time permitting, I’ll also describe something blue.

See the next talks at the seminar webpage.

Please spread the news and join us for our weekly habit of beginning the week by an interesting machine learning talk!

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