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Quoc V. Le

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Papers218 papers

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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, pp.14311-14320, (2020)

Cited by2EIBibtex

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 by3EIBibtex

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

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

ICLR, (2020)

Cited by44EIBibtex

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 by41Bibtex

AutoML-Zero: Evolving Machine Learning Algorithms From Scratch

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

Cited by1Bibtex

Meta Pseudo Labels

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

Cited by3Bibtex

Randaugment: Practical automated data augmentation with a reduced search space

Ekin D Cubuk, Barret Zoph, Jonathon Shlens,Quoc V Le

CVPR Workshops, pp.3008-3017, (2020)

Cited by60EIBibtex

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 '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Virtual Event..., pp.2387-2397, (2020)

EIBibtex

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 by2Bibtex

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

Cited by3Bibtex

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

Cited by5Bibtex

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.

Cited by2Bibtex

Smooth Adversarial Training

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

Bibtex

Rethinking Pre-training and Self-training

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

Bibtex

AutoHAS: Differentiable Hyper-parameter and Architecture Search

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

Bibtex

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

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

Bibtex

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)

Bibtex

AutoML-Zero: Evolving Machine Learning Algorithms From Scratch

Esteban Real,Chen Liang, David So,Quoc Le

ICML 2020, (2020)

Bibtex

Self-Training With Noisy Student Improves ImageNet Classification

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

CVPR, pp.10684-10695, (2020)

Cited by71EIBibtex

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