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
22572021
Exploration by random network distillation
Y Burda, H Edwards, A Storkey, O Klimov
arXiv preprint arXiv:1810.12894, 2018
14602018
Data Augmentation Generative Adversarial Networks
A Antoniou
arXiv preprint arXiv:1711.04340, 2017
13802017
How to train your MAML
A Antoniou, H Edwards, A Storkey
International conference on learning representations, 2018
9222018
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
8722018
Censoring Representations with an Adversary
H Edwards, A Storkey
Proceedings of ICLR and arXiv preprint arXiv:1511.05897, 2015
6122015
Towards a neural statistician
H Edwards, A Storkey
arXiv preprint arXiv:1606.02185, 2016
5312016
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
5062017
When training and test sets are different: characterizing learning transfer
A Storkey
4582008
Neural architecture search without training
J Mellor, J Turner, A Storkey, EJ Crowley
International conference on machine learning, 7588-7598, 2021
4462021
Cinic-10 is not imagenet or cifar-10
LN Darlow, EJ Crowley, A Antoniou, AJ Storkey
arXiv preprint arXiv:1810.03505, 2018
4462018
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
2992006
Zero-shot knowledge transfer via adversarial belief matching
P Micaelli, AJ Storkey
Advances in Neural Information Processing Systems 32, 2019
2482019
Training deep convolutional neural networks to play go
C Clark, A Storkey
arXiv:1412.3409, 2014, and Proceedings of the 32nd International Conference …, 2014
1892014
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
165*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
1642014
Moonshine: Distilling with cheap convolutions
EJ Crowley, G Gray, AJ Storkey
Advances in Neural Information Processing Systems 31, 2018
1442018
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
1282018
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