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Quoc V. Le
Quoc V. Le
Research Scientist, Google
Adresă de e-mail confirmată pe stanford.edu - Pagina de pornire
Titlu
Citat de
Citat de
Anul
Sequence to sequence learning with neural networks
I Sutskever, O Vinyals, QV Le
arXiv preprint arXiv:1409.3215, 2014
236842014
Efficientnet: Rethinking model scaling for convolutional neural networks
M Tan, Q Le
International Conference on Machine Learning, 6105-6114, 2019
153572019
Distributed representations of sentences and documents
Q Le, T Mikolov
International conference on machine learning, 1188-1196, 2014
116082014
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
77662019
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
76722016
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
60352018
Neural architecture search with reinforcement learning
B Zoph, QV Le
arXiv preprint arXiv:1611.01578, 2016
56702016
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
53832019
Efficientdet: Scalable and efficient object detection
M Tan, R Pang, QV Le
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
45602020
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
44902012
Searching for activation functions
P Ramachandran, B Zoph, QV Le
arXiv preprint arXiv:1710.05941, 2017
3707*2017
Autoaugment: Learning augmentation policies from data
ED Cubuk, B Zoph, D Mane, V Vasudevan, QV Le
arXiv preprint arXiv:1805.09501, 2018
3504*2018
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
33052019
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
31892019
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
29732012
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
2957*2016
Electra: Pre-training text encoders as discriminators rather than generators
K Clark, MT Luong, QV Le, CD Manning
arXiv preprint arXiv:2003.10555, 2020
29512020
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
29162019
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
28982019
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
28262018
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