Elliot J. Crowley
Lecturer, University of Edinburgh
group · github · scholar

Are you interested in doing a PhD on self-supervised learning for solving problems involving satellite imagery? Click here!

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
  • weakly supervised learning in vision
  • applying machine learning to engineering

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.

Selected Publications

Neural Architecture Search without Training
J. Mellor, J. Turner, A. Storkey, E. J. Crowley
ICML 2021 (Long talk)
[pdf] [arXiv] [code]

Neural Architecture Search as Program Transformation Exploration
J. Turner, E. J. Crowley, M. O’Boyle
ASPLOS 2021 (Distinguished Paper)
[pdf] [arXiv] [code]

Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels
M. Patacchiola, J. Turner, E. J. Crowley, M. O’Boyle, A. Storkey
NeurIPS 2020 (Spotlight)
[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]

* indicates equal contribution. Full list of publications is on scholar.
Thanks to Jack Turner for the website template.