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Quoc V. Le
Quoc V. Le
Research Scientist, Google
Dirección de correo verificada de stanford.edu - Página principal
Título
Citado por
Citado por
Año
Sequence to sequence learning with neural networks
I Sutskever, O Vinyals, QV Le
arXiv preprint arXiv:1409.3215, 2014
284612014
Efficientnet: Rethinking model scaling for convolutional neural networks
M Tan, Q Le
International Conference on Machine Learning, 6105-6114, 2019
250722019
Distributed representations of sentences and documents
Q Le, T Mikolov
International conference on machine learning, 1188-1196, 2014
133242014
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
104952019
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
10433*2022
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
94392019
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
94282016
Efficientdet: Scalable and efficient object detection
M Tan, R Pang, QV Le
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
76672020
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
75242018
Neural architecture search with reinforcement learning
B Zoph, QV Le
arXiv preprint arXiv:1611.01578, 2016
69342016
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
50712012
Searching for activation functions
P Ramachandran, B Zoph, QV Le
arXiv preprint arXiv:1710.05941, 2017
4999*2017
Autoaugment: Learning augmentation policies from data
ED Cubuk, B Zoph, D Mane, V Vasudevan, QV Le
arXiv preprint arXiv:1805.09501, 2018
4819*2018
Transformer-xl: Attentive language models beyond a fixed-length context
Z Dai
arXiv preprint arXiv:1901.02860, 2019
46352019
Electra: Pre-training text encoders as discriminators rather than generators
K Clark
arXiv preprint arXiv:2003.10555, 2020
45352020
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
43102019
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
41702020
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
39012019
Scaling up visual and vision-language representation learning with noisy text supervision
C Jia, Y Yang, Y Xia, YT Chen, Z Parekh, H Pham, Q Le, YH Sung, Z Li, ...
International conference on machine learning, 4904-4916, 2021
36502021
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
35552019
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Artículos 1–20