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Smooth Adversarial Training

Jun 25, 2020
Cihang Xie, Mingxing Tan, Boqing Gong, Alan Yuille, Quoc V. Le

* tech report 

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Rethinking Pre-training and Self-training

Jun 11, 2020
Barret Zoph, Golnaz Ghiasi, Tsung-Yi Lin, Yin Cui, Hanxiao Liu, Ekin D. Cubuk, Quoc V. Le


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AutoHAS: Differentiable Hyper-parameter and Architecture Search

Jun 05, 2020
Xuanyi Dong, Mingxing Tan, Adams Wei Yu, Daiyi Peng, Bogdan Gabrys, Quoc V. Le


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

Jun 05, 2020
Zihang Dai, Guokun Lai, Yiming Yang, Quoc V. Le


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Improved Noisy Student Training for Automatic Speech Recognition

May 19, 2020
Daniel S. Park, Yu Zhang, Ye Jia, Wei Han, Chung-Cheng Chiu, Bo Li, Yonghui Wu, Quoc V. Le

* 5 pages, 5 figures, 4 tables. Submitted to Interspeech 2020 

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Evolving Normalization-Activation Layers

Apr 28, 2020
Hanxiao Liu, Andrew Brock, Karen Simonyan, Quoc V. Le


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Meta Pseudo Labels

Apr 23, 2020
Hieu Pham, Qizhe Xie, Zihang Dai, Quoc V. Le

* Preprint 

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Chip Placement with Deep Reinforcement Learning

Apr 22, 2020
Azalia Mirhoseini, Anna Goldie, Mustafa Yazgan, Joe Jiang, Ebrahim Songhori, Shen Wang, Young-Joon Lee, Eric Johnson, Omkar Pathak, Sungmin Bae, Azade Nazi, Jiwoo Pak, Andy Tong, Kavya Srinivasa, William Hang, Emre Tuncer, Anand Babu, Quoc V. Le, James Laudon, Richard Ho, Roger Carpenter, Jeff Dean


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Improving 3D Object Detection through Progressive Population Based Augmentation

Apr 02, 2020
Shuyang Cheng, Zhaoqi Leng, Ekin Dogus Cubuk, Barret Zoph, Chunyan Bai, Jiquan Ngiam, Yang Song, Benjamin Caine, Vijay Vasudevan, Congcong Li, Quoc V. Le, Jonathon Shlens, Dragomir Anguelov


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

Mar 23, 2020
Kevin Clark, Minh-Thang Luong, Quoc V. Le, Christopher D. Manning

* ICLR 2020 

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AutoML-Zero: Evolving Machine Learning Algorithms From Scratch

Mar 06, 2020
Esteban Real, Chen Liang, David R. So, Quoc V. Le


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Towards a Human-like Open-Domain Chatbot

Feb 27, 2020
Daniel Adiwardana, Minh-Thang Luong, David R. So, Jamie Hall, Noah Fiedel, Romal Thoppilan, Zi Yang, Apoorv Kulshreshtha, Gaurav Nemade, Yifeng Lu, Quoc V. Le

* 38 pages, 12 figures 

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SpecAugment on Large Scale Datasets

Dec 11, 2019
Daniel S. Park, Yu Zhang, Chung-Cheng Chiu, Youzheng Chen, Bo Li, William Chan, Quoc V. Le, Yonghui Wu

* 5 pages, 3 tables; submitted to ICASSP 2020 

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SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization

Dec 10, 2019
Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Golnaz Ghiasi, Mingxing Tan, Yin Cui, Quoc V. Le, Xiaodan Song


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MnasFPN: Learning Latency-aware Pyramid Architecture for Object Detection on Mobile Devices

Dec 02, 2019
Bo Chen, Golnaz Ghiasi, Hanxiao Liu, Tsung-Yi Lin, Dmitry Kalenichenko, Hartwig Adams, Quoc V. Le

* 10 pages, 7 figures 

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Adversarial Examples Improve Image Recognition

Nov 21, 2019
Cihang Xie, Mingxing Tan, Boqing Gong, Jiang Wang, Alan Yuille, Quoc V. Le

* tech report; models are available at https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet 

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EfficientDet: Scalable and Efficient Object Detection

Nov 20, 2019
Mingxing Tan, Ruoming Pang, Quoc V. Le


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RandAugment: Practical automated data augmentation with a reduced search space

Nov 14, 2019
Ekin D. Cubuk, Barret Zoph, Jonathon Shlens, Quoc V. Le

* Added ablation experiments 

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Self-training with Noisy Student improves ImageNet classification

Nov 11, 2019
Qizhe Xie, Eduard Hovy, Minh-Thang Luong, Quoc V. Le


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High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks

Nov 05, 2019
Ruben Villegas, Arkanath Pathak, Harini Kannan, Dumitru Erhan, Quoc V. Le, Honglak Lee

* In Advances in Neural Information Processing Systems (NeurIPS), 2019 

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RandAugment: Practical data augmentation with no separate search

Sep 30, 2019
Ekin D. Cubuk, Barret Zoph, Jonathon Shlens, Quoc V. Le


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Saccader: Improving Accuracy of Hard Attention Models for Vision

Sep 11, 2019
Gamaleldin F. Elsayed, Simon Kornblith, Quoc V. Le


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MixConv: Mixed Depthwise Convolutional Kernels

Aug 01, 2019
Mingxing Tan, Quoc V. Le

* BMVC 2019 
* Published in BMVC 2019 

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Selfie: Self-supervised Pretraining for Image Embedding

Jul 23, 2019
Trieu H. Trinh, Minh-Thang Luong, Quoc V. Le


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MixNet: Mixed Depthwise Convolutional Kernels

Jul 22, 2019
Mingxing Tan, Quoc V. Le

* BMVC 2019 
* Published in BMVC 2019 

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