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Amos Storkey
Amos Storkey
Professor of Machine Learning and AI, School of Informatics, University of Edinburgh, UK
Verified email at ed.ac.uk - Homepage
Title
Cited by
Cited by
Year
Meta-learning in neural networks: A survey
T Hospedales, A Antoniou, P Micaelli, A Storkey
IEEE transactions on pattern analysis and machine intelligence 44 (9), 5149-5169, 2021
21732021
Exploration by random network distillation
Y Burda, H Edwards, A Storkey, O Klimov
arXiv preprint arXiv:1810.12894, 2018
14242018
Data Augmentation Generative Adversarial Networks
A Antoniou
arXiv preprint arXiv:1711.04340, 2017
13442017
How to train your MAML
A Antoniou, H Edwards, A Storkey
Seventh International Conference on Learning Representations, 2019
9082019
Large-scale study of curiosity-driven learning
Y Burda, H Edwards, D Pathak, A Storkey, T Darrell, AA Efros
arXiv preprint arXiv:1808.04355, 2018
8632018
Censoring Representations with an Adversary
H Edwards, A Storkey
Proceedings of ICLR and arXiv preprint arXiv:1511.05897, 2015
6032015
Towards a neural statistician
H Edwards, A Storkey
arXiv preprint arXiv:1606.02185, 2016
5272016
Three factors influencing minima in sgd
S Jastrzębski, Z Kenton, D Arpit, N Ballas, A Fischer, Y Bengio, A Storkey
arXiv preprint arXiv:1711.04623, 2017
5012017
When training and test sets are different: characterizing learning transfer
A Storkey
4482008
Cinic-10 is not imagenet or cifar-10
LN Darlow, EJ Crowley, A Antoniou, AJ Storkey
arXiv preprint arXiv:1810.03505, 2018
4352018
Neural architecture search without training
J Mellor, J Turner, A Storkey, EJ Crowley
International conference on machine learning, 7588-7598, 2021
4192021
The 2005 pascal visual object classes challenge
M Everingham, A Zisserman, CKI Williams, L Van Gool, M Allan, ...
Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual …, 2006
3712006
Probabilistic inference for solving discrete and continuous state Markov Decision Processes
M Toussaint, A Storkey
Proceedings of the 23rd international conference on Machine learning, 945-952, 2006
2982006
Zero-shot knowledge transfer via adversarial belief matching
P Micaelli, AJ Storkey
Advances in Neural Information Processing Systems 32, 2019
2402019
Training deep convolutional neural networks to play go
C Clark, A Storkey
arXiv:1412.3409, 2014, and Proceedings of the 32nd International Conference …, 2014
1882014
Test–retest reliability of structural brain networks from diffusion MRI
CR Buchanan, CR Pernet, KJ Gorgolewski, AJ Storkey, ME Bastin
Neuroimage 86, 231-243, 2014
1642014
Bayesian meta-learning for the few-shot setting via deep kernels
M Patacchiola, J Turner, EJ Crowley, M O'Boyle, AJ Storkey
Advances in Neural Information Processing Systems 33, 16108-16118, 2020
163*2020
Moonshine: Distilling with cheap convolutions
EJ Crowley, G Gray, AJ Storkey
Advances in Neural Information Processing Systems 31, 2018
1432018
Mixture regression for covariate shift
AJ Storkey, M Sugiyama
Advances in Neural Information Processing Systems, 1337-1344, 2006
140*2006
On the relation between the sharpest directions of DNN loss and the SGD step length
S Jastrzębski, Z Kenton, N Ballas, A Fischer, Y Bengio, A Storkey
arXiv preprint arXiv:1807.05031, 2018
1252018
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