Követés
Amos Storkey
Amos Storkey
Professor of Machine Learning and AI, School of Informatics, University of Edinburgh, UK
E-mail megerősítve itt: ed.ac.uk - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
19352021
Exploration by random network distillation
Y Burda, H Edwards, A Storkey, O Klimov
arXiv preprint arXiv:1810.12894, 2018
13272018
Data augmentation generative adversarial networks
A Antoniou, A Storkey, H Edwards
arXiv preprint arXiv:1711.04340, 2017
12632017
How to train your MAML
A Antoniou, H Edwards, A Storkey
International conference on learning representations, 2018
8442018
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
8232018
Censoring Representations with an Adversary
H Edwards, A Storkey
Proceedings of ICLR and arXiv preprint arXiv:1511.05897, 2015
5762015
Towards a neural statistician
H Edwards, A Storkey
arXiv preprint arXiv:1606.02185, 2016
5072016
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
4662017
When training and test sets are different: characterizing learning transfer
A Storkey
4352008
Cinic-10 is not imagenet or cifar-10
LN Darlow, EJ Crowley, A Antoniou, AJ Storkey
arXiv preprint arXiv:1810.03505, 2018
3862018
Neural architecture search without training
J Mellor, J Turner, A Storkey, EJ Crowley
International conference on machine learning, 7588-7598, 2021
3762021
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
2892006
Zero-shot knowledge transfer via adversarial belief matching
P Micaelli, AJ Storkey
Advances in Neural Information Processing Systems 32, 2019
2222019
Training deep convolutional neural networks to play go
C Clark, A Storkey
arXiv:1412.3409, 2014, and Proceedings of the 32nd International Conference …, 2014
1812014
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
1602014
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
154*2020
Mixture regression for covariate shift
AJ Storkey, M Sugiyama
Advances in Neural Information Processing Systems, 1337-1344, 2006
139*2006
Moonshine: Distilling with cheap convolutions
EJ Crowley, G Gray, AJ Storkey
Advances in Neural Information Processing Systems 31, 2018
1372018
The basins of attraction of a new Hopfield learning rule
AJ Storkey, R Valabregue
Neural Networks 12 (6), 869-876, 1999
1191999
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