Elliot J. Crowley
Lecturer, University of Edinburgh
elliot.j.crowley@ed.ac.uk
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I am a Lecturer (Assistant Professor) in Machine Learning and Computer Vision at the School of Engineering in the University of Edinburgh. I lead the Bayesian and Neural Systems research group with Amos Storkey from the School of Informatics.

My research interests include:

  • simplifying deep learning
  • neural architecture search
  • efficient training and inference
  • representation learning

Before, I was a postdoc at the School of Informatics in Edinburgh. I did my MEng and DPhil at the University of Oxford. For my DPhil, I worked with Andrew Zisserman on object recognition and retrieval in art.

Interested in doing a PhD with me? Click here!

Recent Papers

Neural Architecture Search without Training
J. Mellor, J. Turner, A. Storkey, E. J. Crowley
Preprint
[pdf] [arXiv] [code]

Deep Kernel Transfer in Gaussian Processes for Few-shot Learning
M. Patacchiola, J. Turner, E. J. Crowley, M. O’Boyle, A. Storkey
Preprint
[pdf] [arXiv] [code]

BlockSwap: Fisher-guided Block Substitution for Network Compression on a Budget
J. Turner*, E. J. Crowley*, M. O’Boyle, A. Storkey, G. Gray
ICLR, 2020
[pdf] [arXiv] [code]

Optimizing Grouped Convolutions on Edge Devices
P. Gibson, J. Cano, J. Turner, E. J. Crowley, M. O'Boyle, A. Storkey
ASAP, 2020
[pdf] [arXiv] [code]

* indicates equal contribution.
Thanks to Jack Turner for the website template.