Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules

14 May 2019

Pieter Abbeel

Papers citing "Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules"

34 / 84 papers shown

Title
Low-cost and high-performance data augmentation for deep-learning-based skin lesion classification Shuwei Shen Mengjuan Xu Fan Zhang Pengfei Shao Honghong Liu ... Chi Zhang Peng Liu Zhihong Zhang Peng Yao Ronald X. Xu 25 10 0 07 Jan 2021
Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation Hongxiao Wang Hao Zheng Jianxu Chen Lin Yang Yizhe Zhang Danny Chen MedIm 28 4 0 17 Dec 2020
A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs Nikhil Kapoor C. Yuan Jonas Löhdefink Roland S. Zimmermann Serin Varghese Fabian Hüger Nico M. Schmidt Peter Schlicht Tim Fingscheidt AAML 27 4 0 02 Dec 2020
An Algorithm for Learning Smaller Representations of Models With Scarce Data Adrian de Wynter 46 2 0 15 Oct 2020
Viewmaker Networks: Learning Views for Unsupervised Representation Learning Alex Tamkin Mike Wu Noah D. Goodman SSL 28 64 0 14 Oct 2020
SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning Colorado Reed Sean L. Metzger A. Srinivas Trevor Darrell Kurt Keutzer SSL 27 49 0 16 Sep 2020
Visual Imitation Made Easy S. Young Dhiraj Gandhi Shubham Tulsiani Abhinav Gupta Pieter Abbeel Lerrel Pinto 22 135 0 11 Aug 2020
OnlineAugment: Online Data Augmentation with Less Domain Knowledge Zhiqiang Tang Yunhe Gao Leonid Karlinsky P. Sattigeri Rogerio Feris Dimitris N. Metaxas 19 56 0 17 Jul 2020
An Asymptotically Optimal Multi-Armed Bandit Algorithm and Hyperparameter Optimization Yimin Huang Yujun Li Hanrong Ye Zhenguo Li Zhihua Zhang 30 7 0 11 Jul 2020
Data Augmenting Contrastive Learning of Speech Representations in the Time Domain Eugene Kharitonov M. Rivière Gabriel Synnaeve Lior Wolf Pierre-Emmanuel Mazaré Matthijs Douze Emmanuel Dupoux 28 117 0 02 Jul 2020
Hippo: Taming Hyper-parameter Optimization of Deep Learning with Stage Trees Ahnjae Shin Do Yoon Kim Joo Seong Jeong Byung-Gon Chun 20 4 0 22 Jun 2020
Meta Approach to Data Augmentation Optimization Ryuichiro Hataya Jan Zdenek Kazuki Yoshizoe Hideki Nakayama 32 34 0 14 Jun 2020
Data Augmentation for Graph Neural Networks Tong Zhao Yozen Liu Leonardo Neves Oliver J. Woodford Meng Jiang Neil Shah GNN 30 407 0 11 Jun 2020
A Simple Semi-Supervised Learning Framework for Object Detection Kihyuk Sohn Zizhao Zhang Chun-Liang Li Han Zhang Chen-Yu Lee Tomas Pfister 38 493 0 10 May 2020
Improving 3D Object Detection through Progressive Population Based Augmentation Shuyang Cheng Zhaoqi Leng E. D. Cubuk Barret Zoph Chunyan Bai ... Vijay Vasudevan Congcong Li Quoc V. Le Jonathon Shlens Dragomir Anguelov 3DPC 20 74 0 02 Apr 2020
UniformAugment: A Search-free Probabilistic Data Augmentation Approach Tom Ching LingChen Ava Khonsari Amirreza Lashkari M. Nazari Jaspreet Singh Sambee M. Nascimento 19 58 0 31 Mar 2020
Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation L. Liu Jiangning Zhang Ruifei He Yong Liu Yabiao Wang Ying Tai Donghao Luo Chengjie Wang Jilin Li Feiyue Huang 30 175 0 29 Mar 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 40 120 0 26 Mar 2020
Circumventing Outliers of AutoAugment with Knowledge Distillation Longhui Wei Anxiang Xiao Lingxi Xie Xin Chen Xiaopeng Zhang Qi Tian 24 62 0 25 Mar 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan Jan van Gemert 213 233 0 16 Mar 2020
SuperMix: Supervising the Mixing Data Augmentation Ali Dabouei Sobhan Soleymani Fariborz Taherkhani Nasser M. Nasrabadi 19 98 0 10 Mar 2020
DADA: Differentiable Automatic Data Augmentation Yonggang Li Guosheng Hu Yongtao Wang Timothy M. Hospedales N. Robertson Yongxin Yang 30 107 0 08 Mar 2020
Time Series Data Augmentation for Deep Learning: A Survey Qingsong Wen Liang Sun Fan Yang Xiaomin Song Jing Gao Xue Wang Huan Xu AI4TS 32 635 0 27 Feb 2020
PointAugment: an Auto-Augmentation Framework for Point Cloud Classification Ruihui Li Xianzhi Li Pheng-Ann Heng Chi-Wing Fu 3DPC 22 145 0 25 Feb 2020
Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation Dmitry Molchanov Alexander Lyzhov Yuliya Molchanova Arsenii Ashukha Dmitry Vetrov TPM 27 84 0 21 Feb 2020
Learning Test-time Augmentation for Content-based Image Retrieval Osman Tursun Simon Denman Sridha Sridharan Clinton Fookes 21 6 0 05 Feb 2020
Optimized Generic Feature Learning for Few-shot Classification across Domains Tonmoy Saikia Thomas Brox Cordelia Schmid VLM 30 48 0 22 Jan 2020
Adversarial AutoAugment Xinyu Zhang Qiang-qiang Wang Jian Zhang Zhaobai Zhong AAML 33 197 0 24 Dec 2019
Patch augmentation: Towards efficient decision boundaries for neural networks Marcus D. Bloice P. Roth Andreas Holzinger AAML 8 2 0 08 Nov 2019
Anatomically-Informed Data Augmentation for functional MRI with Applications to Deep Learning K. Nguyen Cherise R. Chin Fatt A. Treacher C. Mellema M. Trivedi A. Montillo MedIm 21 28 0 17 Oct 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 102 3,423 0 30 Sep 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 22 1,423 0 02 Aug 2019
Learning Data Augmentation Strategies for Object Detection Barret Zoph E. D. Cubuk Golnaz Ghiasi Nayeon Lee Jonathon Shlens Quoc V. Le 39 523 0 26 Jun 2019
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 274 5,330 0 05 Nov 2016