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

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
  • 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.

Recent Papers

Neural Architecture Search as Program Transformation Exploration
J. Turner, E. J. Crowley, M. O’Boyle
To appear at ASPLOS, 2021
[pdf] [arXiv] [code]

Neural Architecture Search without Training
J. Mellor, J. Turner, A. Storkey, E. J. Crowley
Preprint, 2020
[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]

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.