| Spatial Transformer Networks M Jaderberg, K Simonyan, A Zisserman, K Kavukcuoglu NIPS 2015 (Spotlight), 2015 | 3932 | 2015 |
| Speeding up Convolutional Neural Networks with Low Rank Expansions M Jaderberg, A Vedaldi, A Zisserman BMVC 2014, 2014 | 1083 | 2014 |
| Grandmaster level in StarCraft II using multi-agent reinforcement learning O Vinyals, I Babuschkin, WM Czarnecki, M Mathieu, A Dudzik, J Chung, ... Nature 575 (7782), 350-354, 2019 | 900* | 2019 |
| Reading Text in the Wild with Convolutional Neural Networks M Jaderberg, K Simonyan, A Vedaldi, A Zisserman IJCV May 2015, 2014 | 870 | 2014 |
| Reinforcement learning with unsupervised auxiliary tasks M Jaderberg, V Mnih, WM Czarnecki, T Schaul, JZ Leibo, D Silver, ... ICLR 2017 (Oral), 2016 | 706 | 2016 |
| Deep Features for Text Spotting M Jaderberg, A Vedaldi, A Zisserman ECCV 2014, 2014 | 600 | 2014 |
| Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition M Jaderberg, K Simonyan, A Vedaldi, A Zisserman NIPS Deep Learning Workshop 2014, 2014 | 594 | 2014 |
| Feudal networks for hierarchical reinforcement learning AS Vezhnevets, S Osindero, T Schaul, N Heess, M Jaderberg, D Silver, ... ICML 2017, 2017 | 433 | 2017 |
| Human-level performance in 3D multiplayer games with population-based reinforcement learning M Jaderberg, WM Czarnecki, I Dunning, L Marris, G Lever, AG Castaneda, ... Science 364 (6443), 859-865, 2019 | 332 | 2019 |
| Population based training of neural networks M Jaderberg, V Dalibard, S Osindero, WM Czarnecki, J Donahue, ... arXiv preprint arXiv:1711.09846, 2017 | 314 | 2017 |
| Unsupervised Learning of 3D Structure from Images DJ Rezende, SM Eslami, S Mohamed, P Battaglia, M Jaderberg, N Heess NIPS 2016, 2016 | 297 | 2016 |
| Value-decomposition networks for cooperative multi-agent learning P Sunehag, G Lever, A Gruslys, WM Czarnecki, V Zambaldi, M Jaderberg, ... arXiv preprint arXiv:1706.05296, 2017 | 248 | 2017 |
| Decoupled neural interfaces using synthetic gradients M Jaderberg, WM Czarnecki, S Osindero, O Vinyals, A Graves, ... ICML 2017, 2016 | 221 | 2016 |
| Deep Structured Output Learning for Unconstrained Text Recognition M Jaderberg, K Simonyan, A Vedaldi, A Zisserman ICLR 2015 (Oral), 2014 | 196 | 2014 |
| Grounded language learning in a simulated 3d world KM Hermann, F Hill, S Green, F Wang, R Faulkner, H Soyer, D Szepesvari, ... arXiv preprint arXiv:1706.06551, 2017 | 137 | 2017 |
| Convolution by Evolution: Differentiable Pattern Producing Networks C Fernando, D Banarse, M Reynolds, F Besse, D Pfau, M Jaderberg, ... GECCO 2016, 2016 | 90 | 2016 |
| Sobolev Training for Neural Networks WM Czarnecki, S Osindero, M Jaderberg, G Świrszcz, R Pascanu NIPS 2017, 2017 | 80 | 2017 |
| Open-ended learning in symmetric zero-sum games D Balduzzi, M Garnelo, Y Bachrach, W Czarnecki, J Perolat, M Jaderberg, ... International Conference on Machine Learning, 434-443, 2019 | 39 | 2019 |
| Understanding Synthetic Gradients and Decoupled Neural Interfaces WM Czarnecki, G Świrszcz, M Jaderberg, S Osindero, O Vinyals, ... ICML 2017, 2017 | 38 | 2017 |
| Mix & match agent curricula for reinforcement learning W Czarnecki, S Jayakumar, M Jaderberg, L Hasenclever, YW Teh, ... International Conference on Machine Learning, 1087-1095, 2018 | 29 | 2018 |
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