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Amos Storkey
Amos Storkey
Professor of Machine Learning and AI, School of Informatics, University of Edinburgh, UK
Verifierad e-postadress på ed.ac.uk - Startsida
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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
25602021
Exploration by random network distillation
Y Burda, H Edwards, A Storkey, O Klimov
arXiv preprint arXiv:1810.12894, 2018
16042018
Data augmentation generative adversarial networks
A Antoniou, A Storkey, H Edwards
arXiv preprint arXiv:1711.04340, 2017
14782017
How to train your MAML
A Antoniou, H Edwards, A Storkey
arXiv preprint arXiv:1810.09502, 2018
9842018
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
9162018
Censoring Representations with an Adversary
H Edwards, A Storkey
Proceedings of ICLR and arXiv preprint arXiv:1511.05897, 2015
6322015
Towards a neural statistician
H Edwards, A Storkey
arXiv preprint arXiv:1606.02185, 2016
5412016
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
5362017
Cinic-10 is not imagenet or cifar-10
LN Darlow, EJ Crowley, A Antoniou, AJ Storkey
arXiv preprint arXiv:1810.03505, 2018
5092018
Neural architecture search without training
J Mellor, J Turner, A Storkey, EJ Crowley
International conference on machine learning, 7588-7598, 2021
4992021
When training and test sets are different: characterizing learning transfer
A Storkey
Dataset shift in machine learning 30 (3-28), 6, 2009
4712009
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
3632006
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
3052006
Zero-shot knowledge transfer via adversarial belief matching
P Micaelli, AJ Storkey
Advances in Neural Information Processing Systems 32, 2019
2692019
Training deep convolutional neural networks to play go
C Clark, A Storkey
arXiv:1412.3409, 2014, and Proceedings of the 32nd International Conference …, 2014
1922014
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
180*2020
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
1662014
Moonshine: Distilling with cheap convolutions
EJ Crowley, G Gray, AJ Storkey
Advances in Neural Information Processing Systems 31, 2018
1452018
Mixture regression for covariate shift
AJ Storkey, M Sugiyama
Advances in Neural Information Processing Systems, 1337-1344, 2006
145*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
1372018
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Artiklar 1–20