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Quoc V. Le
Quoc V. Le
Research Scientist, Google Brain
stanford.edu의 이메일 확인됨 - 홈페이지
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연도
Sequence to sequence learning with neural networks
I Sutskever, O Vinyals, QV Le
arXiv preprint arXiv:1409.3215, 2014
209072014
Distributed representations of sentences and documents
Q Le, T Mikolov
International conference on machine learning, 1188-1196, 2014
103552014
Efficientnet: Rethinking model scaling for convolutional neural networks
M Tan, Q Le
International Conference on Machine Learning, 6105-6114, 2019
98342019
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
66732016
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
59102019
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
49732018
Neural architecture search with reinforcement learning
B Zoph, QV Le
arXiv preprint arXiv:1611.01578, 2016
47252016
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
40822012
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
32472019
Searching for activation functions
P Ramachandran, B Zoph, QV Le
arXiv preprint arXiv:1710.05941, 2017
2855*2017
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
28502012
Efficientdet: Scalable and efficient object detection
M Tan, R Pang, QV Le
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
27552020
Autoaugment: Learning augmentation policies from data
ED Cubuk, B Zoph, D Mane, V Vasudevan, QV Le
arXiv preprint arXiv:1805.09501, 2018
2623*2018
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
2526*2016
Transformer-xl: Attentive language models beyond a fixed-length context
Z Dai, Z Yang, Y Yang, J Carbonell, QV Le, R Salakhutdinov
arXiv preprint arXiv:1901.02860, 2019
24812019
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
23912019
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
23682019
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
23422018
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
22712019
A neural conversational model
O Vinyals, Q Le
arXiv preprint arXiv:1506.05869, 2015
20442015
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