Följ
Quoc V. Le
Quoc V. Le
Research Scientist, Google
Verifierad e-postadress på stanford.edu - Startsida
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Sequence to sequence learning with neural networks
I Sutskever, O Vinyals, QV Le
arXiv preprint arXiv:1409.3215, 2014
283602014
Efficientnet: Rethinking model scaling for convolutional neural networks
M Tan, Q Le
International Conference on Machine Learning, 6105-6114, 2019
248782019
Distributed representations of sentences and documents
Q Le, T Mikolov
International conference on machine learning, 1188-1196, 2014
132912014
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
104482019
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
10246*2022
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
94042016
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
93702019
Efficientdet: Scalable and efficient object detection
M Tan, R Pang, QV Le
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
75792020
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
74962018
Neural architecture search with reinforcement learning
B Zoph, QV Le
arXiv preprint arXiv:1611.01578, 2016
69152016
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
50602012
Searching for activation functions
P Ramachandran, B Zoph, QV Le
arXiv preprint arXiv:1710.05941, 2017
4974*2017
Autoaugment: Learning augmentation policies from data
ED Cubuk, B Zoph, D Mane, V Vasudevan, QV Le
arXiv preprint arXiv:1805.09501, 2018
4793*2018
Transformer-xl: Attentive language models beyond a fixed-length context
Z Dai
arXiv preprint arXiv:1901.02860, 2019
46082019
Electra: Pre-training text encoders as discriminators rather than generators
K Clark
arXiv preprint arXiv:2003.10555, 2020
45132020
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
42832019
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
41512020
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
38832019
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
36022021
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
35452019
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Artiklar 1–20