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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"

36 / 2,036 papers shown

Title
Evolving Normalization-Activation Layers Hanxiao Liu Andrew Brock Karen Simonyan Quoc V. Le 117 81 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 70 75 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 75 58 0 31 Mar 2020
Gradient-based Data Augmentation for Semi-Supervised Learning H. Kaizuka 35 2 0 28 Mar 2020
Milking CowMask for Semi-Supervised Image Classification Geoff French Avital Oliver Tim Salimans 97 53 0 26 Mar 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 179 123 0 26 Mar 2020
Circumventing Outliers of AutoAugment with Knowledge Distillation Longhui Wei Anxiang Xiao Lingxi Xie Xin Chen Xiaopeng Zhang Qi Tian 80 62 0 25 Mar 2020
Fixing the train-test resolution discrepancy: FixEfficientNet Hugo Touvron Andrea Vedaldi Matthijs Douze Hervé Jégou AAML 284 110 0 18 Mar 2020
Domain Adaptive Ensemble Learning Kaiyang Zhou Yongxin Yang Yu Qiao Tao Xiang OOD 227 284 0 16 Mar 2020
DHOG: Deep Hierarchical Object Grouping L. N. Darlow Amos Storkey 55 7 0 13 Mar 2020
SuperMix: Supervising the Mixing Data Augmentation Ali Dabouei Sobhan Soleymani Fariborz Taherkhani Nasser M. Nasrabadi 120 101 0 10 Mar 2020
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch Esteban Real Chen Liang David R. So Quoc V. Le 79 226 0 06 Mar 2020
Neural Kernels Without Tangents Vaishaal Shankar Alex Fang Wenshuo Guo Sara Fridovich-Keil Ludwig Schmidt Jonathan Ragan-Kelley Benjamin Recht 64 91 0 04 Mar 2020
Introduction to deep learning Lihi Shiloh-Perl Raja Giryes 54 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 120 648 0 27 Feb 2020
On Feature Normalization and Data Augmentation Boyi Li Felix Wu Ser-Nam Lim Serge J. Belongie Kilian Q. Weinberger 56 137 0 25 Feb 2020
End-To-End Graph-based Deep Semi-Supervised Learning Zihao Wang E. Tu Meng Zhou 29 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 84 69 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 109 85 0 21 Feb 2020
MaxUp: A Simple Way to Improve Generalization of Neural Network Training Chengyue Gong Zhaolin Ren Mao Ye Qiang Liu AAML 77 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 149 223 0 10 Feb 2020
Data augmentation with Mobius transformations Sharon Zhou Jiequan Zhang Hang Jiang T. Lundh A. Ng 49 21 0 07 Feb 2020
Optimized Generic Feature Learning for Few-shot Classification across Domains Tonmoy Saikia Thomas Brox Cordelia Schmid VLM 77 49 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 165 3,595 0 21 Jan 2020
CycleCluster: Modernising Clustering Regularisation for Deep Semi-Supervised Classification P. Sellars Angelica Aviles-Rivero Carola Bibiane Schönlieb 16 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 138 102 0 06 Jan 2020
Learning to Impute: A General Framework for Semi-supervised Learning Wei-Hong Li Chuan-Sheng Foo Hakan Bilen SSL 73 10 0 22 Dec 2019
The State of Knowledge Distillation for Classification Fabian Ruffy K. Chahal 83 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 183 1,313 0 05 Dec 2019
Adversarial Examples Improve Image Recognition Cihang Xie Mingxing Tan Boqing Gong Jiang Wang Alan Yuille Quoc V. Le AAML 165 567 0 21 Nov 2019
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 339 2,396 0 11 Nov 2019
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost M. Gao Zizhao Zhang Guo-Ding Yu Sercan O. Arik L. Davis Tomas Pfister 236 200 0 16 Oct 2019
Distilling Effective Supervision from Severe Label Noise Zizhao Zhang Han Zhang Sercan O. Arik Honglak Lee Tomas Pfister NoLa 39 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 71 3 0 20 Jun 2019
Contrastive Multiview Coding Yonglong Tian Dilip Krishnan Phillip Isola SSL 201 2,413 0 13 Jun 2019
Certainty Driven Consistency Loss on Multi-Teacher Networks for Semi-Supervised Learning Lu Liu R. Tan 82 32 0 17 Jan 2019