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Does Data Augmentation Benefit from Split BatchNorms

Oct 15, 2020
Amil Merchant, Barret Zoph, Ekin Dogus Cubuk

* 9 pages (+ 3 for references) 

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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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Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation

May 22, 2020
Liang-Chieh Chen, Raphael Gontijo Lopes, Bowen Cheng, Maxwell D. Collins, Ekin D. Cubuk, Barret Zoph, Hartwig Adam, Jonathon Shlens

* 21 pages including reference 

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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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AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

Dec 05, 2019
Dan Hendrycks, Norman Mu, Ekin D. Cubuk, Barret Zoph, Justin Gilmer, Balaji Lakshminarayanan

* Code available at https://github.com/google-research/augmix 

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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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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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Learning Data Augmentation Strategies for Object Detection

Jun 26, 2019
Barret Zoph, Ekin D. Cubuk, Golnaz Ghiasi, Tsung-Yi Lin, Jonathon Shlens, Quoc V. Le


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Attention Augmented Convolutional Networks

Apr 22, 2019
Irwan Bello, Barret Zoph, Ashish Vaswani, Jonathon Shlens, Quoc V. Le


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SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Apr 18, 2019
Daniel S. Park, William Chan, Yu Zhang, Chung-Cheng Chiu, Barret Zoph, Ekin D. Cubuk, Quoc V. Le

* 6 pages, 3 figures, 6 tables; submitted to Interspeech 2019 

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AutoAugment: Learning Augmentation Policies from Data

Oct 09, 2018
Ekin D. Cubuk, Barret Zoph, Dandelion Mane, Vijay Vasudevan, Quoc V. Le


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Searching for Efficient Multi-Scale Architectures for Dense Image Prediction

Sep 11, 2018
Liang-Chieh Chen, Maxwell D. Collins, Yukun Zhu, George Papandreou, Barret Zoph, Florian Schroff, Hartwig Adam, Jonathon Shlens

* Accepted by NIPS 2018 

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Backprop Evolution

Aug 08, 2018
Maximilian Alber, Irwan Bello, Barret Zoph, Pieter-Jan Kindermans, Prajit Ramachandran, Quoc Le


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Progressive Neural Architecture Search

Jul 26, 2018
Chenxi Liu, Barret Zoph, Maxim Neumann, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan Yuille, Jonathan Huang, Kevin Murphy

* To appear in ECCV 2018 as oral. The code and checkpoint for PNASNet-5 trained on ImageNet (both Mobile and Large) can now be downloaded from https://github.com/tensorflow/models/tree/master/research/slim#Pretrained. Also see https://github.com/chenxi116/PNASNet.TF for refactored and simplified TensorFlow code; see https://github.com/chenxi116/PNASNet.pytorch for exact conversion to PyTorch 

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Learning Transferable Architectures for Scalable Image Recognition

Apr 11, 2018
Barret Zoph, Vijay Vasudevan, Jonathon Shlens, Quoc V. Le


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Efficient Neural Architecture Search via Parameter Sharing

Feb 12, 2018
Hieu Pham, Melody Y. Guan, Barret Zoph, Quoc V. Le, Jeff Dean


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Intriguing Properties of Adversarial Examples

Nov 08, 2017
Ekin D. Cubuk, Barret Zoph, Samuel S. Schoenholz, Quoc V. Le

* 17 pages 

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Searching for Activation Functions

Oct 27, 2017
Prajit Ramachandran, Barret Zoph, Quoc V. Le

* Updated version of "Swish: a Self-Gated Activation Function" 

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Neural Optimizer Search with Reinforcement Learning

Sep 22, 2017
Irwan Bello, Barret Zoph, Vijay Vasudevan, Quoc V. Le

* ICML 2017 Conference paper 

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Neural Architecture Search with Reinforcement Learning

Feb 15, 2017
Barret Zoph, Quoc V. Le


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Transfer Learning for Low-Resource Neural Machine Translation

Apr 08, 2016
Barret Zoph, Deniz Yuret, Jonathan May, Kevin Knight

* 8 pages 

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Multi-Source Neural Translation

Jan 05, 2016
Barret Zoph, Kevin Knight

* 5 pages, 6 figures 

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