| 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 | 26553* | |
| Sequence to sequence learning with neural networks I Sutskever, O Vinyals, QV Le arXiv preprint arXiv:1409.3215, 2014 | 14175 | 2014 |
| Distilling the knowledge in a neural network G Hinton, O Vinyals, J Dean arXiv preprint arXiv:1503.02531, 2015 | 5611 | 2015 |
| 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 | 4468 | 2015 |
| 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 | 4266 | 2014 |
| Google's neural machine translation system: Bridging the gap between human and machine translation Y Wu, M Schuster, Z Chen, QV Le, M Norouzi, W Macherey, M Krikun, ... arXiv preprint arXiv:1609.08144, 2016 | 3859 | 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 | 3725* | 2016 |
| Matching networks for one shot learning O Vinyals, C Blundell, T Lillicrap, K Kavukcuoglu, D Wierstra arXiv preprint arXiv:1606.04080, 2016 | 2666 | 2016 |
| Understanding deep learning requires rethinking generalization C Zhang, S Bengio, M Hardt, B Recht, O Vinyals arXiv preprint arXiv:1611.03530, 2016 | 2550 | 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 | 1941 | 2015 |
| Recurrent neural network regularization W Zaremba, I Sutskever, O Vinyals arXiv preprint arXiv:1409.2329, 2014 | 1929 | 2014 |
| Neural message passing for quantum chemistry J Gilmer, SS Schoenholz, PF Riley, O Vinyals, GE Dahl International Conference on Machine Learning, 1263-1272, 2017 | 1823 | 2017 |
| Pointer networks O Vinyals, M Fortunato, N Jaitly arXiv preprint arXiv:1506.03134, 2015 | 1616 | 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 | 1613* | 2016 |
| A neural conversational model O Vinyals, Q Le arXiv preprint arXiv:1506.05869, 2015 | 1551 | 2015 |
| Generating sentences from a continuous space SR Bowman, L Vilnis, O Vinyals, AM Dai, R Jozefowicz, S Bengio arXiv preprint arXiv:1511.06349, 2015 | 1395 | 2015 |
| Conditional image generation with pixelcnn decoders A Oord, N Kalchbrenner, O Vinyals, L Espeholt, A Graves, K Kavukcuoglu arXiv preprint arXiv:1606.05328, 2016 | 1289 | 2016 |
| Scheduled sampling for sequence prediction with recurrent neural networks S Bengio, O Vinyals, N Jaitly, N Shazeer arXiv preprint arXiv:1506.03099, 2015 | 1171 | 2015 |
| 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 | 1068 | 2018 |
| Convolutional, long short-term memory, fully connected deep neural networks TN Sainath, O Vinyals, A Senior, H Sak 2015 IEEE international conference on acoustics, speech and signal …, 2015 | 1008 | 2015 |
