| Matching networks for one shot learning O Vinyals, C Blundell, T Lillicrap, D Wierstra Advances in neural information processing systems, 3630-3638, 2016 | 1945 | 2016 |
| Weight uncertainty in neural networks C Blundell, J Cornebise, K Kavukcuoglu, D Wierstra arXiv preprint arXiv:1505.05424, 2015 | 1108 | 2015 |
| Simple and scalable predictive uncertainty estimation using deep ensembles B Lakshminarayanan, A Pritzel, C Blundell Advances in neural information processing systems, 6402-6413, 2017 | 964 | 2017 |
| Deep exploration via bootstrapped DQN I Osband, C Blundell, A Pritzel, B Van Roy Advances in neural information processing systems, 4026-4034, 2016 | 570 | 2016 |
| Learning to reinforcement learn JX Wang, Z Kurth-Nelson, D Tirumala, H Soyer, JZ Leibo, R Munos, ... arXiv preprint arXiv:1611.05763, 2016 | 355 | 2016 |
| Noisy networks for exploration M Fortunato, MG Azar, B Piot, J Menick, I Osband, A Graves, V Mnih, ... arXiv preprint arXiv:1706.10295, 2017 | 340 | 2017 |
| Pathnet: Evolution channels gradient descent in super neural networks C Fernando, D Banarse, C Blundell, Y Zwols, D Ha, AA Rusu, A Pritzel, ... arXiv preprint arXiv:1701.08734, 2017 | 338 | 2017 |
| Vector-based navigation using grid-like representations in artificial agents A Banino, C Barry, B Uria, C Blundell, T Lillicrap, P Mirowski, A Pritzel, ... Nature 557 (7705), 429-433, 2018 | 262 | 2018 |
| Deep AutoRegressive Networks K Gregor, I Danihelka, A Mnih, C Blundell, D Wierstra Proceedings of the 31st International Conference on Machine Learning (ICML …, 2014 | 207 | 2014 |
| Modelling reciprocating relationships with Hawkes processes C Blundell, J Beck, KA Heller Advances in Neural Information Processing Systems, 2600-2608, 2012 | 183 | 2012 |
| Darla: Improving zero-shot transfer in reinforcement learning I Higgins, A Pal, AA Rusu, L Matthey, CP Burgess, A Pritzel, M Botvinick, ... arXiv preprint arXiv:1707.08475, 2017 | 172 | 2017 |
| Model-free episodic control C Blundell, B Uria, A Pritzel, Y Li, A Ruderman, JZ Leibo, J Rae, ... arXiv preprint arXiv:1606.04460, 2016 | 146* | 2016 |
| Neural episodic control A Pritzel, B Uria, S Srinivasan, A Puigdomenech, O Vinyals, D Hassabis, ... arXiv preprint arXiv:1703.01988, 2017 | 143 | 2017 |
| Reinforcement learning, fast and slow M Botvinick, S Ritter, JX Wang, Z Kurth-Nelson, C Blundell, D Hassabis Trends in cognitive sciences 23 (5), 408-422, 2019 | 123 | 2019 |
| Early visual concept learning with unsupervised deep learning I Higgins, L Matthey, X Glorot, A Pal, B Uria, C Blundell, S Mohamed, ... arXiv preprint arXiv:1606.05579, 2016 | 115 | 2016 |
| Bayesian recurrent neural networks M Fortunato, C Blundell, O Vinyals arXiv preprint arXiv:1704.02798, 2017 | 110 | 2017 |
| Bayesian rose trees C Blundell, YW Teh, KA Heller Uncertainty in Artificial Intelligence, 2010 | 81 | 2010 |
| Computations underlying social hierarchy learning: distinct neural mechanisms for updating and representing self-relevant information D Kumaran, A Banino, C Blundell, D Hassabis, P Dayan Neuron 92 (5), 1135-1147, 2016 | 62 | 2016 |
| Distributed Bayesian learning with stochastic natural gradient expectation propagation and the posterior server L Hasenclever, S Webb, T Lienart, S Vollmer, B Lakshminarayanan, ... The Journal of Machine Learning Research 18 (1), 3744-3780, 2017 | 51* | 2017 |
| Memory-based parameter adaptation P Sprechmann, SM Jayakumar, JW Rae, A Pritzel, AP Badia, B Uria, ... arXiv preprint arXiv:1802.10542, 2018 | 45 | 2018 |
Alexander PritzelDeepmindVerified email at google.com
