Data Augmentation Generative Adversarial Networks

12 November 2017

Amos Storkey

Papers citing "Data Augmentation Generative Adversarial Networks"

50 / 428 papers shown

Title
Semantic Perturbations with Normalizing Flows for Improved Generalization Oğuz Kaan Yüksel Sebastian U. Stich Martin Jaggi Tatjana Chavdarova AAML 29 10 0 18 Aug 2021
Data Efficient Human Intention Prediction: Leveraging Neural Network Verification and Expert Guidance Ruixuan Liu Changliu Liu AAML 27 1 0 16 Aug 2021
Contrastive Learning for View Classification of Echocardiograms A. Chartsias Shan Gao A. Mumith Jorge Oliveira K. Bhatia Bernhard Kainz A. Beqiri 30 11 0 06 Aug 2021
Dynamic Relevance Learning for Few-Shot Object Detection Weijie Liu Chong Wang Haohe Li Shenghao Yu Xiaogang Xu ObjD 26 10 0 04 Aug 2021
Terabyte-scale supervised 3D training and benchmarking dataset of the mouse kidney W. Kuo D. Rossinelli G. Schulz R. Wenger S. Hieber B. Müller V. Kurtcuoglu 16 8 0 04 Aug 2021
LARGE: Latent-Based Regression through GAN Semantics Yotam Nitzan Rinon Gal Ofir Brenner Daniel Cohen-Or GAN 29 26 0 22 Jul 2021
Improve Learning from Crowds via Generative Augmentation Zhendong Chu Hongning Wang 26 11 0 22 Jul 2021
Preventing dataset shift from breaking machine-learning biomarkers Jéroome Dockes Gaël Varoquaux J B Poline OOD 28 64 0 21 Jul 2021
GAN-based Data Augmentation for Chest X-ray Classification Shobhita Sundaram Neha Hulkund MedIm 19 36 0 07 Jul 2021
Featurized Density Ratio Estimation Kristy Choi Madeline Liao Stefano Ermon TPM 22 22 0 05 Jul 2021
Few-Shot Learning with a Strong Teacher Han-Jia Ye Lu Ming De-Chuan Zhan Wei-Lun Chao 19 49 0 01 Jul 2021
SITTA: Single Image Texture Translation for Data Augmentation Boyi Li Huayu Chen Nayeon Lee Serge Belongie 16 3 0 25 Jun 2021
Making Invisible Visible: Data-Driven Seismic Inversion with Spatio-temporally Constrained Data Augmentation Yuxin Yang Xitong Zhang Qiang Guan Youzuo Lin 32 15 0 22 Jun 2021
ParticleAugment: Sampling-Based Data Augmentation Alexander Tsaregorodtsev Vasileios Belagiannis 21 2 0 16 Jun 2021
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis Dwarikanath Mahapatra Ankur Singh 30 8 0 15 Jun 2021
Break-It-Fix-It: Unsupervised Learning for Program Repair Michihiro Yasunaga Percy Liang 20 106 0 11 Jun 2021
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation Haoang Chi Feng Liu Wenjing Yang L. Lan Tongliang Liu Bo Han William Cheung James T. Kwok 35 27 0 11 Jun 2021
Grounding inductive biases in natural images:invariance stems from variations in data Diane Bouchacourt Mark Ibrahim Ari S. Morcos OOD 44 25 0 09 Jun 2021
Labeled Data Generation with Inexact Supervision Enyan Dai Kai Shu Yiwei Sun Suhang Wang 37 3 0 08 Jun 2021
Theoretically Motivated Data Augmentation and Regularization for Portfolio Construction Liu Ziyin Kentaro Minami Kentaro Imajo 19 4 0 08 Jun 2021
Using GANs to Augment Data for Cloud Image Segmentation Task Mayank Jain Conor Meegan Soumyabrata Dev 22 19 0 06 Jun 2021
OCT-GAN: Neural ODE-based Conditional Tabular GANs Jayoung Kim Jinsung Jeon Jaehoon Lee Jihyeon Hyeong Noseong Park 31 37 0 31 May 2021
Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift Etienne Bennequin Victor Bouvier Myriam Tami Antoine Toubhans C´eline Hudelot 24 12 0 25 May 2021
Deep Metric Learning for Few-Shot Image Classification: A Review of Recent Developments Xiaoxu Li Xiaochen Yang Zhanyu Ma Jing-Hao Xue VLM 43 117 0 17 May 2021
Deep Learning Models in Software Requirements Engineering Maria Naumcheva 23 5 0 17 May 2021
Joint Text and Label Generation for Spoken Language Understanding Yang Li Ben Athiwaratkun Cicero Nogueira dos Santos Bing Xiang 22 0 0 11 May 2021
GANTL: Towards Practical and Real-Time Topology Optimization with Conditional GANs and Transfer Learning M. Behzadi H. Ilies AI4CE 22 18 0 07 May 2021
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder Clément Chadebec Elina Thibeau-Sutre Ninon Burgos S. Allassonnière 36 61 0 30 Apr 2021
Unsupervised data augmentation for object detection Yichen Zhang Zeyang Song Wenbo Li 16 2 0 30 Apr 2021
Twin Systems for DeepCBR: A Menagerie of Deep Learning and Case-Based Reasoning Pairings for Explanation and Data Augmentation Markt. Keane Eoin M. Kenny M. Temraz Derek Greene Barry Smyth 6 5 0 29 Apr 2021
Contrastive Learning with Stronger Augmentations Tianlin Li Guo-Jun Qi CLL 22 219 0 15 Apr 2021
eGAN: Unsupervised approach to class imbalance using transfer learning Ademola Okerinde L. Shamir W. Hsu T. Theis N. Nafi GAN 16 4 0 09 Apr 2021
InAugment: Improving Classifiers via Internal Augmentation Moab Arar Ariel Shamir Amit H. Bermano 19 2 0 08 Apr 2021
Defect-GAN: High-Fidelity Defect Synthesis for Automated Defect Inspection Gongjie Zhang Kaiwen Cui Tzu-Yi Hung Shijian Lu 24 110 0 28 Mar 2021
Data Augmentation with Variational Autoencoders and Manifold Sampling Clément Chadebec S. Allassonnière DRL 18 23 0 25 Mar 2021
Generating Novel Scene Compositions from Single Images and Videos V. Sushko Dan Zhang Juergen Gall Anna Khoreva GAN 32 15 0 24 Mar 2021
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition Shuang Li Kaixiong Gong Chi Harold Liu Yulin Wang Feng Qiao Xinjing Cheng 11 148 0 23 Mar 2021
BrainNetGAN: Data augmentation of brain connectivity using generative adversarial network for dementia classification Chao Li Yiran Wei Xi Chen Carola-Bibiane Schonlieb MedIm 20 16 0 10 Mar 2021
Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective Tianlong Chen Yu Cheng Zhe Gan Jingjing Liu Zhangyang Wang 20 49 0 28 Feb 2021
Learning Compositional Representation for Few-shot Visual Question Answering Dalu Guo Dacheng Tao OOD CoGe 25 4 0 21 Feb 2021
Defuse: Harnessing Unrestricted Adversarial Examples for Debugging Models Beyond Test Accuracy Dylan Slack N. Rauschmayr K. Kenthapadi AAML 17 2 0 11 Feb 2021
Negative Data Augmentation Abhishek Sinha Kumar Ayush Jiaming Song Burak Uzkent Hongxia Jin Stefano Ermon 46 72 0 09 Feb 2021
End-to-end Generative Zero-shot Learning via Few-shot Learning Georgios Chochlakis Efthymios Georgiou Alexandros Potamianos VLM 23 1 0 08 Feb 2021
Sill-Net: Feature Augmentation with Separated Illumination Representation Hanwang Zhang Zhong Cao Ziang Yan Changshui Zhang 13 26 0 06 Feb 2021
Influence Estimation for Generative Adversarial Networks Naoyuki Terashita Hiroki Ohashi Yuichi Nonaka T. Kanemaru TDI 38 12 0 20 Jan 2021
Machine learning with limited data Fupin Yao VLM 19 8 0 18 Jan 2021
Adaptive Prototypical Networks with Label Words and Joint Representation Learning for Few-Shot Relation Classification Yan Xiao Yaochu Jin K. Hao 47 43 0 10 Jan 2021
Few-Shot Learning with Class Imbalance Mateusz Ochal Massimiliano Patacchiola Amos Storkey Jose Vazquez Sen Wang 26 35 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 11 1 0 29 Dec 2020
Data augmentation and image understanding Alex Hernandez-Garcia 16 6 0 28 Dec 2020