| Human-level control through deep reinforcement learning V Mnih, K Kavukcuoglu, D Silver, AA Rusu, J Veness, MG Bellemare, ... nature 518 (7540), 529-533, 2015 | 16798 | 2015 |
| Mastering the game of Go with deep neural networks and tree search D Silver, A Huang, CJ Maddison, A Guez, L Sifre, G Van Den Driessche, ... nature 529 (7587), 484-489, 2016 | 11460 | 2016 |
| Natural language processing (almost) from scratch R Collobert, J Weston, L Bottou, M Karlen, K Kavukcuoglu, P Kuksa Journal of machine learning research 12 (ARTICLE), 2493− 2537, 2011 | 7929 | 2011 |
| Playing atari with deep reinforcement learning V Mnih, K Kavukcuoglu, D Silver, A Graves, I Antonoglou, D Wierstra, ... arXiv preprint arXiv:1312.5602, 2013 | 7251 | 2013 |
| Asynchronous methods for deep reinforcement learning V Mnih, AP Badia, M Mirza, A Graves, T Lillicrap, T Harley, D Silver, ... International conference on machine learning, 1928-1937, 2016 | 5717 | 2016 |
| Spatial transformer networks M Jaderberg, K Simonyan, A Zisserman Advances in neural information processing systems 28, 2017-2025, 2015 | 4904 | 2015 |
| Matching networks for one shot learning O Vinyals, C Blundell, T Lillicrap, D Wierstra Advances in neural information processing systems 29, 3630-3638, 2016 | 3407 | 2016 |
| Wavenet: A generative model for raw audio A Oord, S Dieleman, H Zen, K Simonyan, O Vinyals, A Graves, ... arXiv preprint arXiv:1609.03499, 2016 | 3377 | 2016 |
| Recurrent models of visual attention V Mnih, N Heess, A Graves Advances in neural information processing systems, 2204-2212, 2014 | 2735 | 2014 |
| What is the best multi-stage architecture for object recognition? K Jarrett, K Kavukcuoglu, MA Ranzato, Y LeCun 2009 IEEE 12th international conference on computer vision, 2146-2153, 2009 | 2537 | 2009 |
| Convolutional networks and applications in vision Y LeCun, K Kavukcuoglu, C Farabet Proceedings of 2010 IEEE international symposium on circuits and systems …, 2010 | 2078 | 2010 |
| Weight uncertainty in neural network C Blundell, J Cornebise, K Kavukcuoglu, D Wierstra International Conference on Machine Learning, 1613-1622, 2015 | 1811 | 2015 |
| Torch7: A matlab-like environment for machine learning R Collobert, K Kavukcuoglu, C Farabet BigLearn, NIPS workshop, 2011 | 1777 | 2011 |
| Pixel recurrent neural networks A Van Oord, N Kalchbrenner, K Kavukcuoglu International Conference on Machine Learning, 1747-1756, 2016 | 1626 | 2016 |
| Pixel recurrent neural networks A Van Oord, N Kalchbrenner, K Kavukcuoglu International Conference on Machine Learning, 1747-1756, 2016 | 1626 | 2016 |
| Conditional image generation with pixelcnn decoders A Oord, N Kalchbrenner, O Vinyals, L Espeholt, A Graves, K Kavukcuoglu arXiv preprint arXiv:1606.05328, 2016 | 1553 | 2016 |
| Hybrid computing using a neural network with dynamic external memory A Graves, G Wayne, M Reynolds, T Harley, I Danihelka, ... Nature 538 (7626), 471-476, 2016 | 1306 | 2016 |
| 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 | 1256 | 2019 |
| Progressive neural networks AA Rusu, NC Rabinowitz, G Desjardins, H Soyer, J Kirkpatrick, ... arXiv preprint arXiv:1606.04671, 2016 | 1234 | 2016 |
| Improved protein structure prediction using potentials from deep learning AW Senior, R Evans, J Jumper, J Kirkpatrick, L Sifre, T Green, C Qin, ... Nature 577 (7792), 706-710, 2020 | 1062 | 2020 |
David SilverGoogle DeepMindVerified email at google.com
