Research output per year
Research output per year
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Dive into the research topics where Amos Storkey is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Neural Architecture Search without Training
Mellor, J., Turner, J., Storkey, A. J. & Crowley, E. J., 18 Jul 2021.Research output: Contribution to conference › Paper › peer-review
Open AccessFile -
Substituting Convolutions for Neural Network Compression
Crowley, E. J., Gray, G., Turner, J. & Storkey, A. J., 4 Jun 2021, (E-pub ahead of print) In: IEEE Access. 9, p. 83199 - 83213Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Meta-Learning in Neural Networks: A Survey
Hospedales, T. M., Antoniou, A., Micaelli, P. & Storkey, A. J., 11 May 2021, (E-pub ahead of print) In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 20 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels
Patacchiola, M., Turner, J., Crowley, E. J., O'Boyle, M. F. P. & Storkey, A. J., 7 Dec 2020, Advances in Neural Information Processing Systems 33. Curran Associates Inc, Vol. 33. p. 16108-16118 11 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
Optimizing Grouped Convolutions on Edge Devices
Gibson, P., Cano, J., Turner, J., Crowley, E. J., O'Boyle, M. F. P. & Storkey, A. J., 31 Jul 2020, 2020 IEEE 31st International Conference on Application-specific Systems, Architectures and Processors (ASAP). Institute of Electrical and Electronics Engineers (IEEE), p. 189 - 196 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile
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Continuous Learning at the Edge/IoT devices using Meta Learning
UK industry, commerce and public corporations
1/09/21 → 31/08/25
Project: Research
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Better Sample Efficiency of Reinforcement Learning - CASE Studentship
UK industry, commerce and public corporations
16/03/20 → 30/04/25
Project: Research
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Datasets
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Metrics for quality control of results from super-resolution machine-learning algorithms – Data extracted from publications in the period 2017- May 2021
Castorina, L. V. (Creator), Li, B. M. (Creator), Storkey, A. (Creator) & Valdes Hernandez, M. (Creator), Edinburgh DataShare, 24 Jun 2021
DOI: 10.7488/ds/3062
Dataset
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A test-retest fMRI dataset for motor, language and spatial attention functions
Gorgolewski, K. J. (Creator), Storkey, A. (Creator), Bastin, M. (Creator), Whittle, I. (Creator), Wardlaw, J. (Creator) & Pernet, C. (Creator), GigaScience, 2013
DOI: 10.5524/100051, http://gigadb.org/dataset/100051
Dataset
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CINIC-10 Is Not ImageNet or CIFAR-10
Crowley, E. J. (Creator), Storkey, A. (Creator), Antoniou, A. (Creator) & Darlow, L. N. (Creator), Edinburgh DataShare, 28 Sep 2018
DOI: 10.7488/ds/2448, https://arxiv.org/abs/1810.03505
Dataset
Press / Media
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Amos Storkey comments on online gaming race between Google and Facebook
5/12/15
1 item of Media coverage
Press/Media: Expert Comment
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Christopher Clark and Amos Storkey apply new algorithms to ancient Chinese game 'Go'
Christopher Clark & Amos Storkey
15/12/14
2 items of Media coverage
Press/Media: Research