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Data Augmentation Generative Adversarial Networks

12 November 2017

Amos Storkey

Papers citing "Data Augmentation Generative Adversarial Networks"

50 / 429 papers shown

Title
Few-Shot Learning with Class Imbalance Mateusz Ochal Massimiliano Patacchiola Amos Storkey Jose Vazquez Sen Wang 109 37 0 07 Jan 2021
COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography Heyi Li Dongdong Chen W. Nailon Mike E. Davies Dave Laurenson 23 1 0 29 Dec 2020
Data augmentation and image understanding Alex Hernandez-Garcia 31 6 0 28 Dec 2020
Generative Interventions for Causal Learning Chengzhi Mao Augustine Cha Amogh Gupta Hongya Wang Junfeng Yang Carl Vondrick CML OOD 86 66 0 22 Dec 2020
ResizeMix: Mixing Data with Preserved Object Information and True Labels Jie Qin Jiemin Fang Qian Zhang Wenyu Liu Xingang Wang Xinggang Wang 93 86 0 21 Dec 2020
Flow-based Generative Models for Learning Manifold to Manifold Mappings Xingjian Zhen Rudrasis Chakraborty Liu Yang Vikas Singh DRL MedIm 140 9 0 18 Dec 2020
Multi-modal AsynDGAN: Learn From Distributed Medical Image Data without Sharing Private Information Qi Chang Zhennan Yan L. Baskaran Hui Qu Yikai Zhang Tong Zhang Shaoting Zhang Dimitris N. Metaxas MedIm 78 12 0 15 Dec 2020
Iterative label cleaning for transductive and semi-supervised few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 175 62 0 14 Dec 2020
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges Kashif Ahmad Majdi Maabreh M. Ghaly Khalil Khan Junaid Qadir Ala I. Al-Fuqaha 115 157 0 14 Dec 2020
Semantically Robust Unpaired Image Translation for Data with Unmatched Semantics Statistics Zhiwei Jia Bodi Yuan Kangkang Wang Hong Wu David Clifford Zhiqiang Yuan Hao Su VLM 108 23 0 09 Dec 2020
Cross-Modal Generalization: Learning in Low Resource Modalities via Meta-Alignment Paul Pu Liang Peter Wu Liu Ziyin Louis-Philippe Morency Ruslan Salakhutdinov 81 32 0 04 Dec 2020
SB-MTL: Score-based Meta Transfer-Learning for Cross-Domain Few-Shot Learning J. Cai B. Cai S. Shen 37 7 0 03 Dec 2020
Augmentation-Interpolative AutoEncoders for Unsupervised Few-Shot Image Generation Davis Wertheimer Omid Poursaeed B. Hariharan 31 9 0 25 Nov 2020
Improving Augmentation and Evaluation Schemes for Semantic Image Synthesis P. Katiyar Anna Khoreva 27 4 0 25 Nov 2020
ColdGAN: Resolving Cold Start User Recommendation by using Generative Adversarial Networks Po-Lin Lai Chih-Yun Chen Liang-Wei Lo C. Chen 26 2 0 25 Nov 2020
Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer Zidi Xiu Junya Chen Ricardo Henao B. Goldstein Lawrence Carin Chenyang Tao 62 10 0 25 Nov 2020
Cycle-consistent Generative Adversarial Networks for Neural Style Transfer using data from ChangÉ-4 J. D. Curtó R. Duvall GAN 34 3 0 23 Nov 2020
GAN based ball screw drive picture database enlargement for failure classification T. Schlagenhauf Chenwei Sun J. Fleischer AI4CE 16 0 0 20 Nov 2020
Deep Feature Augmentation for Occluded Image Classification Feng Cen Xiaoyu Zhao Wuzhuang Li Guanghui Wang 106 59 0 02 Nov 2020
Improving Text Relationship Modeling with Artificial Data Peter Organisciak Maggie Ryan 60 1 0 27 Oct 2020
Restrained Generative Adversarial Network against Overfitting in Numeric Data Augmentation Wei Wang Yimeng Chai Tao Cui Chuang Wang Baohua Zhang Yuemei Li Yi An GAN 31 0 0 26 Oct 2020
Viewmaker Networks: Learning Views for Unsupervised Representation Learning Alex Tamkin Mike Wu Noah D. Goodman SSL 131 64 0 14 Oct 2020
TUTOR: Training Neural Networks Using Decision Rules as Model Priors Shayan Hassantabar Prerit Terway N. Jha 92 10 0 12 Oct 2020
A Series of Unfortunate Counterfactual Events: the Role of Time in Counterfactual Explanations Andrea Ferrario M. Loi 62 5 0 09 Oct 2020
Variational Feature Disentangling for Fine-Grained Few-Shot Classification Jingyi Xu Hieu M. Le Mingzhen Huang ShahRukh Athar Dimitris Samaras DRL 48 55 0 07 Oct 2020
RANDGAN: Randomized Generative Adversarial Network for Detection of COVID-19 in Chest X-ray Saman Motamed Patrik Rogalla Farzad Khalvati OOD MedIm 77 65 0 06 Oct 2020
Image Translation for Medical Image Generation -- Ischemic Stroke Lesions Moritz Platscher Jonathan Zopes C. Federau MedIm 50 3 0 05 Oct 2020
3D-Aided Data Augmentation for Robust Face Understanding Yifan Xing Yuanjun Xiong Wei Xia CVBM 60 1 0 03 Oct 2020
Joint Contrastive Learning with Infinite Possibilities Qi Cai Yu Wang Yingwei Pan Ting Yao Tao Mei VLM 69 60 0 30 Sep 2020
Interventional Few-Shot Learning Zhongqi Yue Hanwang Zhang Qianru Sun Xiansheng Hua 113 234 0 28 Sep 2020
Synthetic Convolutional Features for Improved Semantic Segmentation Yang He Bernt Schiele Mario Fritz SSeg 59 2 0 18 Sep 2020
ExGAN: Adversarial Generation of Extreme Samples Siddharth Bhatia Arjit Jain Bryan Hooi 80 44 0 17 Sep 2020
A Survey on Machine Learning from Few Samples Jiang Lu Pinghua Gong Jieping Ye Jianwei Zhang Changshu Zhang 98 52 0 06 Sep 2020
Self-Competitive Neural Networks Iman Saberi Fathiyeh Faghih AAML 18 0 0 22 Aug 2020
Model Patching: Closing the Subgroup Performance Gap with Data Augmentation Karan Goel Albert Gu Yixuan Li Christopher Ré 104 121 0 15 Aug 2020
Mitigating Dataset Imbalance via Joint Generation and Classification Aadarsh Sahoo Ankit Singh Yikang Shen Rogerio Feris Abir Das GAN 36 9 0 12 Aug 2020
Improving the Performance of Fine-Grain Image Classifiers via Generative Data Augmentation S. Manjunath Aitzaz Nathaniel Jeff Druce Stan German 45 4 0 12 Aug 2020
Generative Adversarial Network for Radar Signal Generation Thomas Truong Svetlana Yanushkevich GAN 41 21 0 07 Aug 2020
Deep Robust Clustering by Contrastive Learning Huasong Zhong C. L. Philip Chen Zhongming Jin Xiansheng Hua OOD 64 64 0 07 Aug 2020
F2GAN: Fusing-and-Filling GAN for Few-shot Image Generation Y. Hong Li Niu Jianfu Zhang Weijie Zhao Chenghan Fu Liqing Zhang GAN 95 87 0 05 Aug 2020
Regularizing Deep Networks with Semantic Data Augmentation Yulin Wang Gao Huang Shiji Song Xuran Pan Yitong Xia Cheng Wu 141 161 0 21 Jul 2020
OnlineAugment: Online Data Augmentation with Less Domain Knowledge Zhiqiang Tang Yunhe Gao Leonid Karlinsky P. Sattigeri Rogerio Feris Dimitris N. Metaxas 65 58 0 17 Jul 2020
Learning End-to-End Action Interaction by Paired-Embedding Data Augmentation Ziyang Song Zejian Yuan Chong Zhang Wanchao Chi Yonggen Ling Shenghao Zhang 42 1 0 16 Jul 2020
EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision Siddharth Biswal Peiye Zhuang A. Pyrros Nasir Siddiqui Oluwasanmi Koyejo Jimeng Sun MedIm 71 5 0 10 Jul 2020
Enhancing the Performance of Practical Profiling Side-Channel Attacks Using Conditional Generative Adversarial Networks Ping Wang Ping Chen Zhimin Luo Gaofeng Dong Mengce Zheng Nenghai Yu Honggang Hu AAML 26 16 0 10 Jul 2020
On Data Augmentation and Adversarial Risk: An Empirical Analysis Hamid Eghbalzadeh Khaled Koutini Paul Primus Verena Haunschmid Michal Lewandowski Werner Zellinger Bernhard A. Moser Gerhard Widmer AAML 42 9 0 06 Jul 2020
ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification Xiaoxu Li Liyun Yu Xiaochen Yang Zhanyu Ma Jing-Hao Xue Jie Cao Jun Guo 72 16 0 27 Jun 2020
Diffusion-Weighted Magnetic Resonance Brain Images Generation with Generative Adversarial Networks and Variational Autoencoders: A Comparison Study Alejandro Ungría Hirte Moritz Platscher T. Joyce J. Heit E. Tranvinh C. Federau MedIm DiffM 24 6 0 24 Jun 2020
Meta Approach to Data Augmentation Optimization Ryuichiro Hataya Jan Zdenek Kazuki Yoshizoe Hideki Nakayama 84 35 0 14 Jun 2020
Data Augmentation for Graph Neural Networks Tong Zhao Yozen Liu Leonardo Neves Oliver J. Woodford Meng Jiang Neil Shah GNN 159 418 0 11 Jun 2020