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
Data augmentation generative adversarial networks
A Antoniou, A Storkey, H Edwards
arXiv preprint arXiv:1711.04340, 2017
5262017
Exploration by random network distillation
Y Burda, H Edwards, A Storkey, O Klimov
arXiv preprint arXiv:1810.12894, 2018
4122018
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
3472018
Censoring Representations with an Adversary
H Edwards, A Storkey
Proceedings of ICLR and arXiv preprint arXiv:1511.05897, 2015
3152015
The 2005 pascal visual object classes challenge
M Everingham, A Zisserman, CKI Williams, L Van Gool, M Allan, ...
Machine Learning Challenges Workshop, 117-176, 2005
3092005
Towards a neural statistician
H Edwards, A Storkey
arXiv preprint arXiv:1606.02185, 2016
2922016
How to train your MAML
A Antoniou, H Edwards, A Storkey
arXiv preprint arXiv:1810.09502, 2018
2322018
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
2232006
Meta-learning in neural networks: A survey
T Hospedales, A Antoniou, P Micaelli, A Storkey
arXiv preprint arXiv:2004.05439, 2020
2182020
When training and test sets are different: characterizing learning transfer
A Storkey
Dataset shift in machine learning 30, 3-28, 2009
2182009
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
2172017
Training deep convolutional neural networks to play go
C Clark, A Storkey
arXiv:1412.3409, 2014, and Proceedings of the 32nd International Conference …, 2014
1482014
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
1292014
Mixture regression for covariate shift
AJ Storkey, M Sugiyama
Advances in Neural Information Processing Systems, 1337-1344, 2006
1072006
The basins of attraction of a new Hopfield learning rule
AJ Storkey, R Valabregue
Neural Networks 12 (6), 869-876, 1999
1051999
Probabilistic inference for solving (PO)MDPs
M Toussaint, S Harmeling, A Storkey
School of Informatics Technical Report, 2006
1032006
TractoR: magnetic resonance imaging and tractography with R
JD Clayden, S Muņoz Maniega, AJ Storkey, MD King, ME Bastin, ...
Journal of Statistical Software 44 (8), 1-18, 2011
952011
Single subject fMRI test–retest reliability metrics and confounding factors
KJ Gorgolewski, AJ Storkey, ME Bastin, I Whittle, C Pernet
Neuroimage 69, 231-243, 2013
902013
Cinic-10 is not imagenet or cifar-10
LN Darlow, EJ Crowley, A Antoniou, AJ Storkey
arXiv preprint arXiv:1810.03505, 2018
832018
A probabilistic model-based approach to consistent white matter tract segmentation
JD Clayden, AJ Storkey, ME Bastin
IEEE transactions on medical imaging 26 (11), 1555-1561, 2007
832007
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