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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"

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Title
MUSCLE: Strengthening Semi-Supervised Learning Via Concurrent Unsupervised Learning Using Mutual Information Maximization Hanchen Xie Mohamed E. Hussein Aram Galstyan Wael Abd-Almageed SSL 59 8 0 30 Nov 2020
Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot Tasks Han-Jia Ye Lu Han De-Chuan Zhan OffRL SSL VLM 76 29 0 30 Nov 2020
Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training Shuai Zhao Liguang Zhou Wenxiao Wang D. Cai Tin Lun Lam Yangsheng Xu 99 32 0 30 Nov 2020
Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling Lie Ju Xin Wang Xin Zhao Paul Bonnington Tom Drummond Zongyuan Ge GAN MedIm 59 41 0 27 Nov 2020
Reflective-Net: Learning from Explanations Johannes Schneider Michalis Vlachos FAtt OffRL LRM 126 17 0 27 Nov 2020
Grafit: Learning fine-grained image representations with coarse labels Hugo Touvron Alexandre Sablayrolles Matthijs Douze Matthieu Cord Hervé Jégou SSL 91 68 0 25 Nov 2020
Multiclass non-Adversarial Image Synthesis, with Application to Classification from Very Small Sample Itamar Winter D. Weinshall GAN 35 0 0 25 Nov 2020
An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human Pose Estimation Rongchang Xie Chunyu Wang Wenjun Zeng Yizhou Wang SSL 3DH 107 26 0 25 Nov 2020
Assessing Post-Disaster Damage from Satellite Imagery using Semi-Supervised Learning Techniques Jihyeon Janel Lee Joseph Z. Xu Kihyuk Sohn W. Lu David Berthelot ... Pranav Khaitan Ke-Wei Ke Huang Kyriacos M. Koupparis Bernhard Kowatsch 54 23 0 24 Nov 2020
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization Junnan Li Caiming Xiong Guosheng Lin SSL 96 264 0 23 Nov 2020
An Effective Anti-Aliasing Approach for Residual Networks C. N. Vasconcelos Hugo Larochelle Vincent Dumoulin Nicolas Le Roux Ross Goroshin SupR 70 32 0 20 Nov 2020
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning Meng Ye Xiaoyu Lin Giedrius Burachas Ajay Divakaran Yi Yao 110 3 0 19 Nov 2020
An Efficient and Scalable Deep Learning Approach for Road Damage Detection Sadra Naddaf-sh M.-Mahdi Naddaf-Sh Amir R. Kashani H. Zargarzadeh 53 59 0 18 Nov 2020
FROST: Faster and more Robust One-shot Semi-supervised Training Helena E. Liu L. Smith BDL OffRL 49 1 0 18 Nov 2020
Neural Semi-supervised Learning for Text Classification Under Large-Scale Pretraining Zijun Sun Chun Fan Xiaofei Sun Yuxian Meng Leilei Gan Jiwei Li 54 9 0 17 Nov 2020
Can Semantic Labels Assist Self-Supervised Visual Representation Learning? Longhui Wei Lingxi Xie Jianzhong He Jianlong Chang Xiaopeng Zhang Wen-gang Zhou Houqiang Li Qi Tian SSL 57 25 0 17 Nov 2020
Probing Predictions on OOD Images via Nearest Categories Yao-Yuan Yang Cyrus Rashtchian Ruslan Salakhutdinov Kamalika Chaudhuri AAML 64 0 0 17 Nov 2020
A comparative study of semi- and self-supervised semantic segmentation of biomedical microscopy data Nastassya Horlava A. Mironenko Sebastian Niehaus Sebastian Wagner Ingo Roeder N. Scherf SSL 29 3 0 11 Nov 2020
EfficientPose: An efficient, accurate and scalable end-to-end 6D multi object pose estimation approach Yannick Bukschat Marcus Vetter 66 110 0 09 Nov 2020
Detecting Outliers with Foreign Patch Interpolation Jeremy Tan Benjamin Hou James Batten Huaqi Qiu Bernhard Kainz MedIm 68 49 0 09 Nov 2020
Data Augmentation via Structured Adversarial Perturbations Calvin Luo H. Mobahi Samy Bengio AAML 53 5 0 05 Nov 2020
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning Beliz Gunel Jingfei Du Alexis Conneau Ves Stoyanov 83 508 0 03 Nov 2020
SapAugment: Learning A Sample Adaptive Policy for Data Augmentation Ting-Yao Hu A. Shrivastava Jen-Hao Rick Chang H. Koppula Stefan Braun Kyuyeon Hwang Ozlem Kalinli Oncel Tuzel 84 17 0 02 Nov 2020
Self-paced Data Augmentation for Training Neural Networks Tomoumi Takase Ryo Karakida H. Asoh 53 17 0 29 Oct 2020
Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets Kai Han Yunhe Wang Qiulin Zhang Wei Zhang Chunjing Xu Tong Zhang 74 89 0 28 Oct 2020
An empirical study of domain-agnostic semi-supervised learning via energy-based models: joint-training and pre-training Yunfu Song Huahuan Zheng Zhijian Ou 41 0 0 25 Oct 2020
Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels Valentyn Melnychuk Evgeniy Faerman I. Manakov Thomas Seidl 19 0 0 23 Oct 2020
How Data Augmentation affects Optimization for Linear Regression Boris Hanin Yi Sun 81 16 0 21 Oct 2020
Combining Ensembles and Data Augmentation can Harm your Calibration Yeming Wen Ghassen Jerfel Rafael Muller Michael W. Dusenberry Jasper Snoek Balaji Lakshminarayanan Dustin Tran UQCV 136 64 0 19 Oct 2020
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding Yanru Qu Dinghan Shen Yelong Shen Sandra Sajeev Jiawei Han Weizhu Chen 204 69 0 16 Oct 2020
Does Data Augmentation Benefit from Split BatchNorms Amil Merchant Barret Zoph E. D. Cubuk 58 9 0 15 Oct 2020
HS-ResNet: Hierarchical-Split Block on Convolutional Neural Network P. Yuan Shufei Lin Cheng Cui Yuning Du Ruoyu Guo Dongliang He Errui Ding Shumin Han 54 43 0 15 Oct 2020
Self-Supervised Domain Adaptation with Consistency Training Liang Xiao J. Xu D. Zhao Z. Wang L. Wang Y. Nie B. Dai 57 15 0 15 Oct 2020
Viewmaker Networks: Learning Views for Unsupervised Representation Learning Alex Tamkin Mike Wu Noah D. Goodman SSL 131 64 0 14 Oct 2020
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy Sharib Ali Mariia Dmitrieva N. Ghatwary Sophia Bano Gorkem Polat ... Terry Tran-Nguyen A. Bailey B. Braden J. East J. Rittscher 54 10 0 12 Oct 2020
Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning Tao Han Junyu Gao Yuan. Yuan Qi. Wang 79 27 0 12 Oct 2020
Population Based Training for Data Augmentation and Regularization in Speech Recognition Daniel Haziza Jérémy Rapin Gabriel Synnaeve 32 1 0 08 Oct 2020
Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples Sven Gowal Chongli Qin J. Uesato Timothy A. Mann Pushmeet Kohli AAML 71 331 0 07 Oct 2020
Exploring the Interchangeability of CNN Embedding Spaces David G. McNeely-White Benjamin Sattelberg Nathaniel Blanchard Ross Beveridge CVBM 25 1 0 05 Oct 2020
WeMix: How to Better Utilize Data Augmentation Yi Tian Xu Asaf Noy Ming Lin Qi Qian Hao Li Rong Jin 84 16 0 03 Oct 2020
DecAug: Augmenting HOI Detection via Decomposition Yichen Xie Haoshu Fang Dian Shao Yong-Lu Li Cewu Lu 79 10 0 02 Oct 2020
Improving Auto-Augment via Augmentation-Wise Weight Sharing Keyu Tian Chen Lin Ming Sun Luping Zhou Junjie Yan Wanli Ouyang 89 48 0 30 Sep 2020
Tackling unsupervised multi-source domain adaptation with optimism and consistency Diogo Pernes Jaime S. Cardoso 62 8 0 29 Sep 2020
PP-OCR: A Practical Ultra Lightweight OCR System Yuning Du Chenxia Li Ruoyu Guo Xiaoting Yin Weiwei Liu ... Yifan Bai Zilin Yu Yehua Yang Qingqing Dang Hongya Wang 90 196 0 21 Sep 2020
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks Zhiqiang Shen Marios Savvides 76 63 0 17 Sep 2020
AAG: Self-Supervised Representation Learning by Auxiliary Augmentation with GNT-Xent Loss Yanlun Tu Jianxing Feng Yang Yang SSL 20 1 0 17 Sep 2020
EfficientSeg: An Efficient Semantic Segmentation Network V. B. Yesilkaynak Y. Sahin Gözde B. Ünal SSeg 27 8 0 14 Sep 2020
Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models Zhengming Zhang Yaoqing Yang Z. Yao Yujun Yan Joseph E. Gonzalez Michael W. Mahoney FedML 131 36 0 26 Aug 2020
Anchor-free Small-scale Multispectral Pedestrian Detection Alexander Wolpert Michael Teutsch M. Sarfraz Rainer Stiefelhagen ObjD 34 30 0 19 Aug 2020
Semi-supervised learning using teacher-student models for vocal melody extraction Sangeun Kum Jing-Hua Lin Li Su Juhan Nam 61 17 0 14 Aug 2020