BAGAN: Data Augmentation with Balancing GAN

26 March 2018

Papers citing "BAGAN: Data Augmentation with Balancing GAN"

35 / 35 papers shown

Title
Intelligent Attacks and Defense Methods in Federated Learning-enabled Energy-Efficient Wireless Networks Han Zhang Hao Zhou Medhat H. M. Elsayed Majid Bavand Raimundas Gaigalas Yigit Ozcan Melike Erol-Kantarci AAML 72 0 0 25 Apr 2025
Privacy-Preserving Debiasing using Data Augmentation and Machine Unlearning Zhixin Pan Emma Andrews Laura Chang Prabhat Mishra MU 38 1 0 19 Apr 2024
Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion Yichi Zhang Zhuo Chen Lei Liang Hua-zeng Chen Wen Zhang 56 4 0 22 Feb 2024
MGAug: Multimodal Geometric Augmentation in Latent Spaces of Image Deformations Tonmoy Hossain Miaomiao Zhang 19 2 0 20 Dec 2023
Hallucination Improves the Performance of Unsupervised Visual Representation Learning Jing Wu Jennifer Hobbs N. Hovakimyan SSL 32 21 0 22 Jul 2023
Physics-Informed Computer Vision: A Review and Perspectives C. Banerjee Kien Nguyen Clinton Fookes G. Karniadakis PINN AI4CE 34 29 0 29 May 2023
Rethinking Data Augmentation for Tabular Data in Deep Learning Soma Onishi Shoya Meguro LMTD 26 14 0 17 May 2023
Balanced Semi-Supervised Generative Adversarial Network for Damage Assessment from Low-Data Imbalanced-Class Regime Yuqing Gao Pengyuan Zhai K. Mosalam GAN AI4CE 24 76 0 29 Nov 2022
Interpretable CNN-Multilevel Attention Transformer for Rapid Recognition of Pneumonia from Chest X-Ray Images Shengchao Chen Sufen Ren Guanjun Wang Mengxing Huang Chenyang Xue ViT MedIm 47 16 0 29 Oct 2022
Augmentation Backdoors J. Rance Yiren Zhao Ilia Shumailov Robert D. Mullins AAML SILM 53 7 0 29 Sep 2022
Scalable Adversarial Online Continual Learning T. Dam Mahardhika Pratama Md Meftahul Ferdaus S. Anavatti Hussein Abbas CLL 27 3 0 04 Sep 2022
Latent Preserving Generative Adversarial Network for Imbalance classification T. Dam Md Meftahul Ferdaus Mahardhika Pratama S. Anavatti Senthilnath Jayavelu H. Abbass 25 6 0 04 Sep 2022
Efficient Augmentation for Imbalanced Deep Learning Damien Dablain C. Bellinger Bartosz Krawczyk Nitesh V. Chawla 30 7 0 13 Jul 2022
A Comprehensive Survey of Image Augmentation Techniques for Deep Learning Mingle Xu Sook Yoon A. Fuentes D. Park VLM 24 397 0 03 May 2022
Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review E. Olaniyi Dong Chen Yuzhen Lu Ya-Yu Huang 21 38 0 10 Apr 2022
RareGAN: Generating Samples for Rare Classes Zinan Lin Hao Liang Giulia Fanti Vyas Sekar GAN 11 9 0 20 Mar 2022
Selective Synthetic Augmentation with HistoGAN for Improved Histopathology Image Classification Yuan Xue Jiarong Ye Qianying Zhou L. R. Long Sameer Kiran Antani Z. Xue Carl Cornwell R. Zaino K. Cheng Xiaolei Huang MedIm 188 102 0 10 Nov 2021
An Empirical Study on the Joint Impact of Feature Selection and Data Re-sampling on Imbalance Classification Chongsheng Zhang Paolo Soda Jingjun Bi Gaojuan Fan G. Almpanidis S. García 33 39 0 01 Sep 2021
LARGE: Latent-Based Regression through GAN Semantics Yotam Nitzan Rinon Gal Ofir Brenner Daniel Cohen-Or GAN 29 26 0 22 Jul 2021
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data Damien Dablain Bartosz Krawczyk Nitesh V. Chawla 27 260 0 05 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
METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy Izabela Horvath Johannes C. Paetzold Oliver Schoppe Rami Al-Maskari Ivan Ezhov Suprosanna Shit Hongwei Bran Li Ali Ertuerk Bjoern H. Menze MedIm 29 9 0 22 Apr 2021
Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression Xin Ding Z. J. Wang Zuheng Xu Z. Jane Wang William J. Welch 27 22 0 07 Apr 2021
FLANNEL: Focal Loss Based Neural Network Ensemble for COVID-19 Detection Zhi Qiao Austin Bae Lucas Glass Cao Xiao Jimeng Sun 33 30 0 30 Oct 2020
Teaching a GAN What Not to Learn Siddarth Asokan C. Seelamantula GAN 11 19 0 29 Oct 2020
EvolGAN: Evolutionary Generative Adversarial Networks Baptiste Roziere F. Teytaud Vlad Hosu Hanhe Lin Jérémy Rapin M. Zameshina O. Teytaud GAN 23 14 0 28 Sep 2020
Generative Adversarial Networks for Bitcoin Data Augmentation Francesco Zola Jan L. Bruse Xabier Etxeberria Barrio M. Galar Raul Orduna Urrutia GAN 14 8 0 27 May 2020
Class-Weighted Classification: Trade-offs and Robust Approaches Ziyu Xu Chen Dan Justin Khim Pradeep Ravikumar 16 39 0 26 May 2020
Regularization Methods for Generative Adversarial Networks: An Overview of Recent Studies Minhyeok Lee Junhee Seok GAN 27 25 0 19 May 2020
Data Augmentation for Skin Lesion using Self-Attention based Progressive Generative Adversarial Network Ibrahim Saad Ali Mamdouh Farouk Mohamed Y. B. Mahdy GAN MedIm 20 119 0 25 Oct 2019
Adversarial Classifier for Imbalanced Problems Ehsan Montahaei Mahsa Ghorbani M. Baghshah Hamid R. Rabiee 13 12 0 21 Nov 2018
Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation Mina Rezaei Haojin Yang Christoph Meinel GAN SSeg MedIm 22 21 0 09 Oct 2018
Unsupervised Attention-guided Image to Image Translation Youssef A. Mejjati Christian Richardt James Tompkin Darren Cosker K. Kim 18 310 0 06 Jun 2018
TAPAS: Train-less Accuracy Predictor for Architecture Search R. Istrate F. Scheidegger G. Mariani Dimitrios S. Nikolopoulos C. Bekas A. Malossi OOD 27 75 0 01 Jun 2018
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 250 3,190 0 30 Oct 2016