| 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 | 8815 | 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, 2016 | 6876 | 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 (Aug), 2493-2537, 2011 | 5496 | 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 | 3521 | 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 | 2859 | 2016 |
| Spatial transformer networks M Jaderberg, K Simonyan, A Zisserman Advances in neural information processing systems, 2017-2025, 2015 | 2551 | 2015 |
| 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 | 1927 | 2009 |
| Recurrent models of visual attention V Mnih, N Heess, A Graves Advances in neural information processing systems, 2204-2212, 2014 | 1584 | 2014 |
| 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 | 1577 | 2016 |
| Torch7: A matlab-like environment for machine learning R Collobert, K Kavukcuoglu, C Farabet BigLearn, NIPS workshop, 2011 | 1491 | 2011 |
| Convolutional networks and applications in vision Y LeCun, K Kavukcuoglu, C Farabet Proceedings of 2010 IEEE international symposium on circuits and systems …, 2010 | 1429 | 2010 |
| Matching networks for one shot learning O Vinyals, C Blundell, T Lillicrap, D Wierstra Advances in neural information processing systems, 3630-3638, 2016 | 1167 | 2016 |
| Pixel recurrent neural networks A Oord, N Kalchbrenner, K Kavukcuoglu arXiv preprint arXiv:1601.06759, 2016 | 911 | 2016 |
| Pixel recurrent neural networks A Oord, N Kalchbrenner, K Kavukcuoglu arXiv preprint arXiv:1601.06759, 2016 | 911 | 2016 |
| Conditional image generation with pixelcnn decoders A Van den Oord, N Kalchbrenner, L Espeholt, O Vinyals, A Graves Advances in neural information processing systems, 4790-4798, 2016 | 823 | 2016 |
| Pedestrian detection with unsupervised multi-stage feature learning P Sermanet, K Kavukcuoglu, S Chintala, Y LeCun Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 778 | 2013 |
| Weight uncertainty in neural networks C Blundell, J Cornebise, K Kavukcuoglu, D Wierstra arXiv preprint arXiv:1505.05424, 2015 | 769 | 2015 |
| 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 | 766 | 2016 |
| Multiple object recognition with visual attention J Ba, V Mnih, K Kavukcuoglu arXiv preprint arXiv:1412.7755, 2014 | 643 | 2014 |
| Learning convolutional feature hierarchies for visual recognition K Kavukcuoglu, P Sermanet, YL Boureau, K Gregor, M Mathieu, YL Cun Advances in neural information processing systems, 1090-1098, 2010 | 578 | 2010 |
David SilverGoogle DeepMindE-mail confirmado em google.com
