| TensorFlow: Large-scale machine learning on heterogeneous systems, 2015 M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... Software available from tensorflow. org, 0 | 56175* | |
| Sequence to Sequence Learning with Neural Networks I Sutskever arXiv preprint arXiv:1409.3215, 2014 | 27553 | 2014 |
| Highly accurate protein structure prediction with AlphaFold J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger, ... nature 596 (7873), 583-589, 2021 | 26205 | 2021 |
| Distilling the Knowledge in a Neural Network G Hinton arXiv preprint arXiv:1503.02531, 2015 | 21090 | 2015 |
| Matching networks for one shot learning O Vinyals, C Blundell, T Lillicrap, D Wierstra Advances in neural information processing systems 29, 2016 | 10956* | 2016 |
| Representation learning with contrastive predictive coding A Oord, Y Li, O Vinyals arXiv preprint arXiv:1807.03748, 2018 | 9289 | 2018 |
| Google's neural machine translation system: Bridging the gap between human and machine translation Y Wu arXiv preprint arXiv:1609.08144, 2016 | 8865 | 2016 |
| Neural message passing for quantum chemistry J Gilmer, SS Schoenholz, PF Riley, O Vinyals, GE Dahl International conference on machine learning, 1263-1272, 2017 | 8692 | 2017 |
| Show and tell: A neural image caption generator O Vinyals, A Toshev, S Bengio, D Erhan Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 7739 | 2015 |
| Understanding deep learning (still) requires rethinking generalization C Zhang, S Bengio, M Hardt, B Recht, O Vinyals Communications of the ACM 64 (3), 107-115, 2021 | 7172 | 2021 |
| Decaf: A deep convolutional activation feature for generic visual recognition J Donahue, Y Jia, O Vinyals, J Hoffman, N Zhang, E Tzeng, T Darrell International conference on machine learning, 647-655, 2014 | 6076 | 2014 |
| Wavenet: A generative model for raw audio A Van Den Oord, S Dieleman, H Zen, K Simonyan, O Vinyals, A Graves, ... arXiv preprint arXiv:1609.03499 12, 2016 | 5551 | 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 | 4584 | 2019 |
| WaveNet: A Generative Model for Raw Audio A Oord arXiv preprint arXiv:1609.03499, 2016 | 4418* | 2016 |
| Neural discrete representation learning A Van Den Oord, O Vinyals Advances in neural information processing systems 30, 2017 | 4178 | 2017 |
| Recurrent neural network regularization W Zaremba arXiv preprint arXiv:1409.2329, 2014 | 3840 | 2014 |
| Relational inductive biases, deep learning, and graph networks PW Battaglia, JB Hamrick, V Bapst, A Sanchez-Gonzalez, V Zambaldi, ... arXiv preprint arXiv:1806.01261, 2018 | 3751 | 2018 |
| Pointer networks O Vinyals, M Fortunato, N Jaitly Advances in neural information processing systems 28, 2015 | 3692 | 2015 |
| Listen, attend and spell: A neural network for large vocabulary conversational speech recognition W Chan, N Jaitly, Q Le, O Vinyals 2016 IEEE international conference on acoustics, speech and signal …, 2016 | 3350* | 2016 |
| Beyond short snippets: Deep networks for video classification J Yue-Hei Ng, M Hausknecht, S Vijayanarasimhan, O Vinyals, R Monga, ... Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 3073 | 2015 |
Jeff DeanGoogle Chief Scientist, Google Research and Google DeepMindVerified email at google.com
