Amos Storkey

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Harrison EdwardsOpenAIVerified email at openai.com
Antreas AntoniouUniversity of EdinburghVerified email at sms.ed.ac.uk
Elliot J. CrowleyLecturer in Machine Learning and Computer Vision, University of EdinburghVerified email at ed.ac.uk
Jonathan D. ClaydenAssociate Professor of Neuroimaging and Biophysics, UCL GOS Institute of Child HealthVerified email at ucl.ac.uk
Krzysztof J. GorgolewskiGoogleVerified email at google.com
Cyril PernetSenior RSE, Neurobiology Research Unit, Copenhagen University Hospital, RigshospitaletVerified email at nru.dk
Michael O'BoyleProfessor of Computer Science, University of EdinburghVerified email at inf.ed.ac.uk
Marc ToussaintProfessor of Computer Science, TU Berlin, GermanyVerified email at tu-berlin.de
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Asja FischerProfessor for Machine Learning, Ruhr University BochumVerified email at ini.rub.de
Paul MicaelliPhD Student, University of EdinburghVerified email at ed.ac.uk
Stanisław JastrzębskiCTO 👨💻 & CSO 🧪 @ Molecule.OneVerified email at molecule.one
Chris WilliamsProfessor of Machine Learning, University of EdinburghVerified email at inf.ed.ac.uk
Yuri BurdaOpenAIVerified email at openai.com
Massimiliano PatacchiolaUniversity of Cambridge, Postdoctoral ResearcherVerified email at cam.ac.uk
Susana Muñoz ManiegaResearch Fellow, University of EdinburghVerified email at ed.ac.uk
David P. ReichertGoogle DeepMindVerified email at google.com
Luke DarlowUniversity of Edinburgh (CDT in Data Science)Verified email at sms.ed.ac.uk
Romain ValabregueCENIR ICMVerified email at upmc.fr
Valentin RaduUniversity of SheffieldVerified email at shef.ac.uk

Amos Storkey

Professor of Machine Learning and AI, School of Informatics, University of Edinburgh, UK

Verified email at ed.ac.uk - Homepage

Machine Learning Deep Learning Meta-Learning Prediction Markets Bayesian Methods


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Data augmentation generative adversarial networks A Antoniou, A Storkey, H Edwards arXiv preprint arXiv:1711.04340, 2017	821	2017
Exploration by random network distillation Y Burda, H Edwards, A Storkey, O Klimov arXiv preprint arXiv:1810.12894, 2018	726	2018
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	718	2021
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	561	2018
How to train your MAML A Antoniou, H Edwards, A Storkey arXiv preprint arXiv:1810.09502, 2018	466	2018
Censoring Representations with an Adversary H Edwards, A Storkey Proceedings of ICLR and arXiv preprint arXiv:1511.05897, 2015	424	2015
Towards a neural statistician H Edwards, A Storkey arXiv preprint arXiv:1606.02185, 2016	399	2016
The 2005 pascal visual object classes challenge M Everingham, A Zisserman, CKI Williams, LV Gool, M Allan, CM Bishop, ... Machine Learning Challenges Workshop, 117-176, 2005	329	2005
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	321	2017
When training and test sets are different: characterizing learning transfer A Storkey Dataset shift in machine learning 30, 3-28, 2009	308	2009
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	246	2006
Training deep convolutional neural networks to play go C Clark, A Storkey arXiv:1412.3409, 2014, and Proceedings of the 32nd International Conference …, 2014	227	2014
Cinic-10 is not imagenet or cifar-10 LN Darlow, EJ Crowley, A Antoniou, AJ Storkey arXiv preprint arXiv:1810.03505, 2018	167	2018
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	142	2014
Zero-shot knowledge transfer via adversarial belief matching P Micaelli, AJ Storkey Advances in Neural Information Processing Systems 32, 2019	119	2019
Mixture regression for covariate shift AJ Storkey, M Sugiyama Advances in Neural Information Processing Systems, 1337-1344, 2006	117*	2006
The basins of attraction of a new Hopfield learning rule AJ Storkey, R Valabregue Neural Networks 12 (6), 869-876, 1999	113	1999
Neural architecture search without training J Mellor, J Turner, A Storkey, EJ Crowley International Conference on Machine Learning, 7588-7598, 2021	112	2021
TractoR: magnetic resonance imaging and tractography with R JD Clayden, SM Maniega, AJ Storkey, MD King, ME Bastin, CA Clark Journal of Statistical Software 44, 1-18, 2011	108	2011
Probabilistic inference for solving (PO)MDPs M Toussaint, S Harmeling, A Storkey School of Informatics Technical Report, 2006	107	2006

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