| Sequence to sequence learning with neural networks I Sutskever, O Vinyals, QV Le Advances in neural information processing systems, 3104-3112, 2014 | 12745 | 2014 |
| Distributed representations of sentences and documents Q Le, T Mikolov International conference on machine learning, 1188-1196, 2014 | 6700 | 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 | 3485 | 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 | 2910* | 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 | 2326 | 2012 |
| Neural architecture search with reinforcement learning B Zoph, QV Le arXiv preprint arXiv:1611.01578, 2016 | 2114 | 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 | 2053 | 2018 |
| A neural conversational model O Vinyals, Q Le arXiv preprint arXiv:1506.05869, 2015 | 1481 | 2015 |
| 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 | 1477 | 2019 |
| 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 | 1426* | 2016 |
| Exploiting similarities among languages for machine translation T Mikolov, QV Le, I Sutskever arXiv preprint arXiv:1309.4168, 2013 | 1189 | 2013 |
| 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 | 1137 | 2011 |
| Efficientnet: Rethinking model scaling for convolutional neural networks M Tan, QV Le arXiv preprint arXiv:1905.11946, 2019 | 1035 | 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 | 987 | 2017 |
| Efficient neural architecture search via parameter sharing H Pham, MY Guan, B Zoph, QV Le, J Dean arXiv preprint arXiv:1802.03268, 2018 | 946 | 2018 |
| On optimization methods for deep learning QV Le, J Ngiam, A Coates, A Lahiri, B Prochnow, AY Ng ICML, 2011 | 908 | 2011 |
| 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 | 869 | 2019 |
| Searching for activation functions P Ramachandran, B Zoph, QV Le arXiv preprint arXiv:1710.05941, 2017 | 833* | 2017 |
| Semi-supervised sequence learning AM Dai, QV Le Advances in neural information processing systems, 3079-3087, 2015 | 766 | 2015 |
| Tacotron: Towards end-to-end speech synthesis Y Wang, RJ Skerry-Ryan, D Stanton, Y Wu, RJ Weiss, N Jaitly, Z Yang, ... arXiv preprint arXiv:1703.10135, 2017 | 750* | 2017 |
Oriol VinyalsResearch Scientist at Google DeepMindVerified email at google.com
