SICSA Data Science/Modelling & Abstraction: Second SICSA Deep Learning Workshop

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Date(s) - 09/06/2015
All Day

University of Edinburgh, Informatics Forum

The expanding variety of deep learning methods is proving capable of producing substantive practical gains in a large number of areas of practical machine learning. At the same time, greater understanding of deep learning methods is being developed, through relationship to fundamental formalisms in computer science, relationships to stochastic variational methods, and links to different elements of real neural processing. Deep learning methods hoave provided the capabilities for representation learning that have allowed questions of representation and modelling to be handled at a higher level, with the confidence of not losing too much information in the low level information processing. This workshop will explore the challenges and benefits of using and understanding deep neural networks to ensure continued practical benefits for machine learners, and those who are using machine learning in different domains.

On the 9 June 2015 we will be running a second workshop on Deep Learning to bring together those who are working in Machine Learning, Statistics, and the wider community, who are using Deep Machine Learning Methods. We will look at different forms of deep models, and the forms of representations that are learnt, methodological extensions of these methods and the exciting developments of these methods in different areas.

The workshop follows up on the first Edinburgh Deep Learning Workshop in 2014, which had more than 150 attendees.

The workshop will be in the School of Informatics, University of Edinburgh. There will be a number of invited speakers, including Rich Caruana, Alex Graves, Phil Blunsom and Neil Lawrence, but also with room for contributions. The outline of the event is given below, but is subject to change.

09.15 Introductory Talk
09.30 Invited Speaker: Neil Lawrence (University of Sheffield) on Deep Gaussian Processes
10:15 Contributed Talk
10:35 Contributed Talk
10.55 Coffee, Discussion
11.30 Invited Speaker: Phil Blunsom (University of Oxford and Google Deepmind) on Deep Learning and Computational Linguistics
12:15 Contributed Talk
12.35 Lunch.
13:45 Invited Speaker: Rich Caruana (Microsoft Research) will be examining what we can know of Deep Learning Models
14:30 Contributed Talk
14:50 Coffee, Discussion Period and Posters
15:45 Invited Speaker: Alex Graves (Google Deepmind) on Neural Turing Machines
16:30 Panel Discussion.
17:00 End of formal program. Evening pub trip for those who don’t need to leave.

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