Data Augmentation Generative Adversarial Networks

12 November 2017

Amos Storkey

Papers citing "Data Augmentation Generative Adversarial Networks"

28 / 428 papers shown

Title
Imagining an Engineer: On GAN-Based Data Augmentation Perpetuating Biases Niharika Jain L. Manikonda Alberto Olmo Hernandez Sailik Sengupta Michael J. Butler 6 13 0 09 Nov 2018
Handwriting Recognition in Low-resource Scripts using Adversarial Learning A. Bhunia Abhirup Das A. Bhunia P. Kishore P. Roy 21 66 0 04 Nov 2018
GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks Christopher Bowles Liang Chen Ricardo Guerrero P. Bentley R. Gunn A. Hammers D. A. Dickie M. V. Valdés Hernández Joanna M. Wardlaw Daniel Rueckert GAN MedIm 13 420 0 25 Oct 2018
How to train your MAML Antreas Antoniou Harrison Edwards Amos Storkey 17 769 0 22 Oct 2018
Efficient Augmentation via Data Subsampling Michael Kuchnik Virginia Smith 19 22 0 11 Oct 2018
Open-Ended Content-Style Recombination Via Leakage Filtering Karl Ridgeway Michael C. Mozer DRL VLM 14 2 0 28 Sep 2018
Unsupervised Adversarial Invariance Ayush Jaiswal Yue Wu Wael AbdAlmageed Premkumar Natarajan OOD CML 44 48 0 26 Sep 2018
Adversarial Recommendation: Attack of the Learned Fake Users Konstantina Christakopoulou A. Banerjee AAML 6 11 0 21 Sep 2018
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks Shivang Agarwal Jean Ogier du Terrail F. Jurie ObjD 24 123 0 10 Sep 2018
Generating Highly Realistic Images of Skin Lesions with GANs Christoph Baur Shadi Albarqouni Nassir Navab GAN MedIm 19 79 0 05 Sep 2018
DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification Xiaofeng Zhang Zhangyang Wang Dong Liu Qing Ling 6 89 0 29 Aug 2018
Targeted Nonlinear Adversarial Perturbations in Images and Videos R. Rey-de-Castro H. Rabitz AAML 16 10 0 27 Aug 2018
DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN Swee Kiat Lim Yi Loo Ngoc-Trung Tran Ngai-man Cheung Gemma Roig Yuval Elovici 6 116 0 23 Aug 2018
Learning Invariances using the Marginal Likelihood Mark van der Wilk Matthias Bauer S. T. John J. Hensman 36 83 0 16 Aug 2018
Small Sample Learning in Big Data Era Jun Shu Zongben Xu Deyu Meng 29 71 0 14 Aug 2018
Conditional Infilling GANs for Data Augmentation in Mammogram Classification Eric Wu K. Wu David D. Cox William Lotter MedIm 22 134 0 21 Jul 2018
Compositional GAN: Learning Image-Conditional Binary Composition S. Azadi Deepak Pathak Sayna Ebrahimi Trevor Darrell GAN CoGe 29 26 0 19 Jul 2018
Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding Yutai Hou Yijia Liu Wanxiang Che Ting Liu 22 151 0 04 Jul 2018
Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT Per Welander Simon Karlsson Anders Eklund GAN MedIm 14 103 0 20 Jun 2018
Addressing Class Imbalance in Classification Problems of Noisy Signals by using Fourier Transform Surrogates J. Schwabedal John C. Snyder Ayse S. Cakmak S. Nemati Gari D. Clifford 11 26 0 20 Jun 2018
Delta-encoder: an effective sample synthesis method for few-shot object recognition Eli Schwartz Leonid Karlinsky J. Shtok Sivan Harary Mattias Marder Rogerio Feris Abhishek Kumar Raja Giryes A. Bronstein 192 351 0 12 Jun 2018
Data augmentation instead of explicit regularization Alex Hernández-García Peter König 30 141 0 11 Jun 2018
AutoAugment: Learning Augmentation Policies from Data E. D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le 42 1,754 0 24 May 2018
Resisting Large Data Variations via Introspective Transformation Network Yunhan Zhao Ye Tian Charless C. Fowlkes Wei Shen Alan Yuille 30 1 0 16 May 2018
MelanoGANs: High Resolution Skin Lesion Synthesis with GANs Christoph Baur Shadi Albarqouni Nassir Navab GAN MedIm 24 87 0 12 Apr 2018
High-resolution Deep Convolutional Generative Adversarial Networks J. Curtò I. Zarza Fernando de la Torre Irwin King Michael R. Lyu GAN 35 35 0 17 Nov 2017
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,746 0 26 Sep 2016
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,636 0 03 Jul 2012