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Quoc V. Le
Quoc V. Le
Research Scientist, Google
Geverifieerd e-mailadres voor stanford.edu - Homepage
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Jaar
Sequence to sequence learning with neural networks
I Sutskever, O Vinyals, QV Le
arXiv preprint arXiv:1409.3215, 2014
277522014
Efficientnet: Rethinking model scaling for convolutional neural networks
M Tan, Q Le
International Conference on Machine Learning, 6105-6114, 2019
233142019
Distributed representations of sentences and documents
Q Le, T Mikolov
International conference on machine learning, 1188-1196, 2014
130592014
Xlnet: Generalized autoregressive pretraining for language understanding
Z Yang, Z Dai, Y Yang, J Carbonell, R Salakhutdinov, QV Le
arXiv preprint arXiv:1906.08237, 2019
100212019
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
91892016
Searching for mobilenetv3
A Howard, M Sandler, G Chu, LC Chen, B Chen, M Tan, W Wang, Y Zhu, ...
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
86772019
Chain-of-thought prompting elicits reasoning in large language models
J Wei, X Wang, D Schuurmans, M Bosma, F Xia, E Chi, QV Le, D Zhou
Advances in neural information processing systems 35, 24824-24837, 2022
8138*2022
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
72842018
Efficientdet: Scalable and efficient object detection
M Tan, R Pang, QV Le
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
71002020
Neural architecture search with reinforcement learning
B Zoph, QV Le
arXiv preprint arXiv:1611.01578, 2016
67292016
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
49622012
Searching for activation functions
P Ramachandran, B Zoph, QV Le
arXiv preprint arXiv:1710.05941, 2017
4720*2017
Autoaugment: Learning augmentation policies from data
ED Cubuk, B Zoph, D Mane, V Vasudevan, QV Le
arXiv preprint arXiv:1805.09501, 2018
4592*2018
Transformer-xl: Attentive language models beyond a fixed-length context
Z Dai
arXiv preprint arXiv:1901.02860, 2019
44072019
Electra: Pre-training text encoders as discriminators rather than generators
K Clark
arXiv preprint arXiv:2003.10555, 2020
42872020
Specaugment: A simple data augmentation method for automatic speech recognition
DS Park, W Chan, Y Zhang, CC Chiu, B Zoph, ED Cubuk, QV Le
arXiv preprint arXiv:1904.08779, 2019
41042019
Randaugment: Practical automated data augmentation with a reduced search space
ED Cubuk, B Zoph, J Shlens, QV Le
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
39162020
Mnasnet: Platform-aware neural architecture search for mobile
M Tan, B Chen, R Pang, V Vasudevan, M Sandler, A Howard, QV Le
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
36852019
Regularized evolution for image classifier architecture search
E Real, A Aggarwal, Y Huang, QV Le
Proceedings of the aaai conference on artificial intelligence 33 (01), 4780-4789, 2019
34592019
Efficient neural architecture search via parameters sharing
H Pham, M Guan, B Zoph, Q Le, J Dean
International conference on machine learning, 4095-4104, 2018
34002018
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Artikelen 1–20