Talks and presentations

Towards »Zero Touch« Continual Machine Learning

May 08, 2019

Invited talk, Colloquium of the Institute of Cognitive Science, Institute of Cognitive Science, Osnabrück, Germany

How do we have machines that learn continually, as data arrives? Continual (aka lifelong) learning has gained popularity in recent years in the ML community, in particular methods that try to prevent “catastrophic forgetting” in neural networks. Whilst there are compelling advances in the field, I argue that these are far away from the reality of production environments. In this talk I will present efforts we have been making to bridge this gap, tackling the problem from both research and engineering perspectives.

Kernel Based Methods

September 10, 2010

Invited Talk, 6th International Summer School on Pattern Recognition, Plymouth, UK

The course is intended to give an overview of the kernel approach to pattern analysis. This will cover:

  • Why linear pattern functions?
  • Why kernel approach?
  • How to plug and play with the different components of a kernel-based pattern analysis system?