Quoc V. Le

Research Scientist

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Research Scientist
Google
2011-

Research Visitor
Max Planck Institute for Biological Cybernetics
2006-2007

Research Assistant
NICTA
2004-2007

Microsoft
Research Intern
Microsoft
2006 年

Papers198 papers

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Improving 3D Object Detection through Progressive Population Based Augmentation

Cheng Shuyang, Leng Zhaoqi,Cubuk Ekin Dogus, Zoph Barret, Bai Chunyan,Ngiam Jiquan, Song Yang, Caine Benjamin,Vasudevan Vijay, Li Congcong,Le Quoc V.,Shlens Jonathon

Bibtex

Evolving Normalization-Activation Layers

Liu Hanxiao, Brock Andrew,Simonyan Karen,Le Quoc V.

Bibtex

Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension

Xinyun Chen,Chen Liang,Adams Wei Yu, Denny Zhou,Dawn Song,Quoc Le

ICLR, (2020)

Cited by1EIBibtex

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

Kevin Clark,Minh-Thang Luong,Quoc V. Le,Christopher D. Manning

ICLR, (2020)

Cited by13EIBibtex

Neural Input Search for Large Scale Recommendation Models

Manas Joglekar, Cong Li, Mei Chen, Taibai Xu,Xiaoming Wang, Jay Adams, Pranav Khaitan, Jiahui Liu,Quoc Le

KDD 2020, (2020)

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Smooth Adversarial Training

Cihang Xie,Mingxing Tan,Boqing Gong,Alan Yuille,Quoc V. Le

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Rethinking Pre-training and Self-training

Zoph Barret,Ghiasi Golnaz,Lin Tsung-Yi, Cui Yin,Liu Hanxiao, Cubuk Ekin D.,Le Quoc V.

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AutoHAS: Differentiable Hyper-parameter and Architecture Search

Dong Xuanyi,Tan Mingxing, Yu Adams Wei, Peng Daiyi, Gabrys Bogdan,Le Quoc V.

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Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing

Dai Zihang,Lai Guokun,Yang Yiming,Le Quoc V.

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Go Wide, Then Narrow: Efficient Training of Deep Thin Networks

Denny Zhou, Mao Ye,Chen Chen,Mingxing Tan,Tianjian Meng,Xiaodan Song,Quoc Le,Qiang Liu, Dale Schuurmans

ICML 2020, (2020)

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Evolving Machine Learning Algorithms From Scratch

Esteban Real,Chen Liang, David So,Quoc Le

ICML 2020, (2020)

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Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS

Gabriel Bender,Hanxiao Liu,Bo Chen,Grace Chu,Shuyang Cheng, Pieter-Jan Kindermans,Quoc V. Le

CVPR 2020, (2020)

Cited by1Bibtex

Self-Training With Noisy Student Improves ImageNet Classification

Qizhe Xie,Minh-Thang Luong, Eduard Hovy,Quoc V. Le

CVPR 2020, (2020)

Cited by71Bibtex

Improved Noisy Student Training for Automatic Speech Recognition

Park Daniel S.,Zhang Yu, Jia Ye, Han Wei,Chiu Chung-Cheng, Li Bo,Wu Yonghui,Le Quoc V.

Bibtex

Towards a Human-like Open-Domain Chatbot

Adiwardana Daniel,Luong Minh-Thang, So David R., Hall Jamie, Fiedel Noah, Thoppilan Romal, Yang Zi, Kulshreshtha Apoorv, Nemade Gaurav,Lu Yifeng,Le Quoc V.

Cited by30Bibtex

AutoML-Zero: Evolving Machine Learning Algorithms From Scratch

Real Esteban, Liang Chen, So David R.,Le Quoc V.

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Chip Placement with Deep Reinforcement Learning

Mirhoseini Azalia, Goldie Anna, Yazgan Mustafa, Jiang Joe,Songhori Ebrahim, Wang Shen, Lee Young-Joon,Johnson Eric, Pathak Omkar, Bae Sungmin, Nazi Azade, Pak Jiwoo

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Meta Pseudo Labels

Pham Hieu, Xie Qizhe, Dai Zihang,Le Quoc V.

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BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models

Yu Jiahui,Jin Pengchong,Liu Hanxiao,Bender Gabriel, Kindermans Pieter-Jan,Tan Mingxing,Huang Thomas, Song Xiaodan,Pang Ruoming,Le Quoc

Cited by3Bibtex

Cloning and Optimizing the Culture Parameters for Expression of R1 and R2 Repeat Regions of P97 Adhesin from Mycoplasma hyopneumoniae in Escherichia coli

Phung Thang Long,Le Quoc Viet, Le Viet Quan, Dong Huu Rin, Nguyen Xuan Hoa, Le Duc Thao, Le Dinh Phung, Nguyen Thi Thu Hien, Dinh Thi Bich Lan

Advances in Animal and Veterinary Sciences, no. 12 (2019)

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