RandAugment: Practical automated data augmentation with a reduced search space

30 September 2019

Papers citing "RandAugment: Practical automated data augmentation with a reduced search space"

48 / 1,998 papers shown

Title
AutoCLINT: The Winning Method in AutoCV Challenge 2019 Woonhyuk Baek Ildoo Kim Sungwoong Kim Sungbin Lim 17 2 0 09 May 2020
On the Generalization Effects of Linear Transformations in Data Augmentation Sen Wu Hongyang R. Zhang Gregory Valiant Christopher Ré 13 75 0 02 May 2020
Reinforcement Learning with Augmented Data Michael Laskin Kimin Lee Adam Stooke Lerrel Pinto Pieter Abbeel A. Srinivas OffRL 6 646 0 30 Apr 2020
Supervised Contrastive Learning Prannay Khosla Piotr Teterwak Chen Wang Aaron Sarna Yonglong Tian Phillip Isola Aaron Maschinot Ce Liu Dilip Krishnan SSL 16 4,407 0 23 Apr 2020
DMT: Dynamic Mutual Training for Semi-Supervised Learning Zhengyang Feng Qianyu Zhou Qiqi Gu Xin Tan Guangliang Cheng Xuequan Lu Jianping Shi Lizhuang Ma 8 167 0 18 Apr 2020
Adversarial Augmentation Policy Search for Domain and Cross-Lingual Generalization in Reading Comprehension A. Maharana Mohit Bansal AAML 4 13 0 13 Apr 2020
Analysis on DeepLabV3+ Performance for Automatic Steel Defects Detection Zheng Nie Jiachen Xu Shengchang Zhang AI4CE 4 7 0 09 Apr 2020
Empirical Perspectives on One-Shot Semi-supervised Learning L. Smith A. Conovaloff 18 1 0 08 Apr 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning A. Srinivas Michael Laskin Pieter Abbeel SSL DRL OffRL 12 1,060 0 08 Apr 2020
Probabilistic Spatial Transformer Networks Pola Schwobel Frederik Warburg Martin Jørgensen Kristoffer Hougaard Madsen Søren Hauberg 29 8 0 07 Apr 2020
Evolving Normalization-Activation Layers Hanxiao Liu Andrew Brock Karen Simonyan Quoc V. Le 12 79 0 06 Apr 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 15 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 9 58 0 31 Mar 2020
Gradient-based Data Augmentation for Semi-Supervised Learning H. Kaizuka 17 2 0 28 Mar 2020
Milking CowMask for Semi-Supervised Image Classification Geoff French Avital Oliver Tim Salimans 17 51 0 26 Mar 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 35 120 0 26 Mar 2020
Circumventing Outliers of AutoAugment with Knowledge Distillation Longhui Wei Anxiang Xiao Lingxi Xie Xin Chen Xiaopeng Zhang Qi Tian 8 62 0 25 Mar 2020
Fixing the train-test resolution discrepancy: FixEfficientNet Hugo Touvron Andrea Vedaldi Matthijs Douze Hervé Jégou AAML 186 110 0 18 Mar 2020
Domain Adaptive Ensemble Learning Kaiyang Zhou Yongxin Yang Yu Qiao Tao Xiang OOD 137 273 0 16 Mar 2020
DHOG: Deep Hierarchical Object Grouping L. N. Darlow Amos Storkey 6 7 0 13 Mar 2020
SuperMix: Supervising the Mixing Data Augmentation Ali Dabouei Sobhan Soleymani Fariborz Taherkhani Nasser M. Nasrabadi 11 98 0 10 Mar 2020
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch Esteban Real Chen Liang David R. So Quoc V. Le 34 220 0 06 Mar 2020
Neural Kernels Without Tangents Vaishaal Shankar Alex Fang Wenshuo Guo Sara Fridovich-Keil Ludwig Schmidt Jonathan Ragan-Kelley Benjamin Recht 11 90 0 04 Mar 2020
Introduction to deep learning Lihi Shiloh-Perl Raja Giryes 11 0 0 29 Feb 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 24 632 0 27 Feb 2020
On Feature Normalization and Data Augmentation Boyi Li Felix Wu Ser-Nam Lim Serge J. Belongie Kilian Q. Weinberger 13 134 0 25 Feb 2020
End-To-End Graph-based Deep Semi-Supervised Learning Zihao W. Wang E. Tu Meng Zhou 16 0 0 23 Feb 2020
Towards Robust and Reproducible Active Learning Using Neural Networks Prateek Munjal Nasir Hayat Munawar Hayat J. Sourati Shadab Khan UQCV 9 67 0 21 Feb 2020
Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation Dmitry Molchanov Alexander Lyzhov Yuliya Molchanova Arsenii Ashukha Dmitry Vetrov TPM 9 84 0 21 Feb 2020
MaxUp: A Simple Way to Improve Generalization of Neural Network Training Chengyue Gong Tongzheng Ren Mao Ye Qiang Liu AAML 6 56 0 20 Feb 2020
Adversarial Filters of Dataset Biases Ronan Le Bras Swabha Swayamdipta Chandra Bhagavatula Rowan Zellers Matthew E. Peters Ashish Sabharwal Yejin Choi 29 220 0 10 Feb 2020
Data augmentation with Mobius transformations Sharon Zhou Jiequan Zhang Hang Jiang T. Lundh A. Ng 8 20 0 07 Feb 2020
Optimized Generic Feature Learning for Few-shot Classification across Domains Tonmoy Saikia Thomas Brox Cordelia Schmid VLM 14 48 0 22 Jan 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 29 3,463 0 21 Jan 2020
CycleCluster: Modernising Clustering Regularisation for Deep Semi-Supervised Classification P. Sellars Angelica Aviles-Rivero Carola Bibiane Schönlieb 6 0 0 15 Jan 2020
Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning Han-Jia Ye Hong-You Chen De-Chuan Zhan Wei-Lun Chao 24 99 0 06 Jan 2020
Learning to Impute: A General Framework for Semi-supervised Learning Wei-Hong Li Chuan-Sheng Foo Hakan Bilen SSL 14 9 0 22 Dec 2019
The State of Knowledge Distillation for Classification Fabian Ruffy K. Chahal 14 20 0 20 Dec 2019
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty Dan Hendrycks Norman Mu E. D. Cubuk Barret Zoph Justin Gilmer Balaji Lakshminarayanan OOD UQCV 11 1,274 0 05 Dec 2019
Adversarial Examples Improve Image Recognition Cihang Xie Mingxing Tan Boqing Gong Jiang Wang Alan Yuille Quoc V. Le AAML 17 564 0 21 Nov 2019
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 27 2,358 0 11 Nov 2019
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost M. Gao Zizhao Zhang Guo-Ding Yu Sercan Ö. Arik L. Davis Tomas Pfister 158 195 0 16 Oct 2019
Distilling Effective Supervision from Severe Label Noise Zizhao Zhang Han Zhang Sercan Ö. Arik Honglak Lee Tomas Pfister NoLa 6 2 0 01 Oct 2019
Energy Models for Better Pseudo-Labels: Improving Semi-Supervised Classification with the 1-Laplacian Graph Energy Angelica I. Aviles-Rivero Nicolas Papadakis Ruoteng Li P. Sellars Samar M. Alsaleh R. Tan Carola-Bibiane Schönlieb 14 3 0 20 Jun 2019
Contrastive Multiview Coding Yonglong Tian Dilip Krishnan Phillip Isola SSL 21 2,360 0 13 Jun 2019
Certainty Driven Consistency Loss on Multi-Teacher Networks for Semi-Supervised Learning Lu Liu R. Tan 11 32 0 17 Jan 2019
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016
RenderGAN: Generating Realistic Labeled Data Leon Sixt Benjamin Wild Tim Landgraf GAN 158 175 0 04 Nov 2016