| Sequence to sequence learning with neural networks I Sutskever, O Vinyals, QV Le Advances in neural information processing systems, 3104-3112, 2014 | 11780 | 2014 |
| Distributed representations of sentences and documents Q Le, T Mikolov International conference on machine learning, 1188-1196, 2014 | 6214 | 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 | 3049 | 2016 |
| Large scale Distributed Deep Networks AYN J. Dean, G.S. Corrado, R. Monga, K. Chen, M. Devin Advances In Neural Information Processing Systems 25 (7), 2012 | 2737* | 2012 |
| Building high-level features using large scale unsupervised learning QV Le, MA Ranzato, R Monga, M Devin, K Chen, GS Corrado, J Dean, ... International Conference on Machine Learning, 2012 | 2251 | 2012 |
| Neural architecture search with reinforcement learning B Zoph, QV Le arXiv preprint arXiv:1611.01578, 2016 | 1800 | 2016 |
| Learning transferable architectures for scalable image recognition B Zoph, V Vasudevan, J Shlens, QV Le Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 1725 | 2018 |
| A neural conversational model O Vinyals, Q Le arXiv preprint arXiv:1506.05869, 2015 | 1369 | 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 | 1267* | 2016 |
| Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis QV Le, WY Zou, SY Yeung, AY Ng CVPR 2011, 3361-3368, 2011 | 1115 | 2011 |
| Exploiting similarities among languages for machine translation T Mikolov, QV Le, I Sutskever arXiv preprint arXiv:1309.4168, 2013 | 1073 | 2013 |
| Xlnet: Generalized autoregressive pretraining for language understanding Z Yang, Z Dai, Y Yang, J Carbonell, RR Salakhutdinov, QV Le Advances in neural information processing systems, 5753-5763, 2019 | 1017 | 2019 |
| Google’s multilingual neural machine translation system: Enabling zero-shot translation M Johnson, M Schuster, QV Le, M Krikun, Y Wu, Z Chen, N Thorat, ... Transactions of the Association for Computational Linguistics 5, 339-351, 2017 | 882 | 2017 |
| On optimization methods for deep learning QV Le, J Ngiam, A Coates, A Lahiri, B Prochnow, AY Ng ICML, 2011 | 873 | 2011 |
| Efficient neural architecture search via parameter sharing H Pham, MY Guan, B Zoph, QV Le, J Dean arXiv preprint arXiv:1802.03268, 2018 | 772 | 2018 |
| Regularized evolution for image classifier architecture search E Real, A Aggarwal, Y Huang, QV Le Proceedings of the aaai conference on artificial intelligence 33, 4780-4789, 2019 | 722 | 2019 |
| Learning to rank with nonsmooth cost functions CJCBRR Quoc, V Le Advances in Neural Information Processing Systems 19: Proceedings of the …, 2007 | 719* | 2007 |
| Grounded compositional semantics for finding and describing images with sentences R Socher, A Karpathy, QV Le, CD Manning, AY Ng Transactions of the Association for Computational Linguistics 2, 207-218, 2014 | 718 | 2014 |
| Semi-supervised sequence learning AM Dai, QV Le Advances in neural information processing systems, 3079-3087, 2015 | 698 | 2015 |
| Searching for activation functions P Ramachandran, B Zoph, QV Le arXiv preprint arXiv:1710.05941, 2017 | 670* | 2017 |
Oriol VinyalsResearch Scientist at Google DeepMindVerified email at google.com
