Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative
Adversarial Networks

Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks

24 February 2021

Papers citing "Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks"

14 / 14 papers shown

Title
Will the Inclusion of Generated Data Amplify Bias Across Generations in Future Image Classification Models? Zeliang Zhang Xin Liang Mingqian Feng Susan Liang Chenliang Xu 34 1 0 14 Oct 2024
Unleashing the Potential of Synthetic Images: A Study on Histopathology Image Classification Leire Benito-Del-Valle Aitor Alvarez-Gila Itziar Eguskiza C. L. Saratxaga DiffM MedIm 29 0 0 24 Sep 2024
Assessing Sample Quality via the Latent Space of Generative Models Jingyi Xu Hieu M. Le Dimitris Samaras MedIm 30 2 0 21 Jul 2024
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks R. Ramachandranpillai Md Fahim Sikder David Bergstrom Fredrik Heintz SyDa 27 6 0 21 Apr 2024
A Unified Framework for Generative Data Augmentation: A Comprehensive Survey Yunhao Chen Zihui Yan Yunjie Zhu 19 3 0 30 Sep 2023
Learning Nonparametric High-Dimensional Generative Models: The Empirical-Beta-Copula Autoencoder Maximilian Coblenz Oliver Grothe Fabian Kächele SyDa DRL 28 1 0 18 Sep 2023
infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information Jaehyung Kim Yekyung Kim Karin de Langis Jinwoo Shin Dongyeop Kang 17 1 0 30 May 2023
Towards Mode Balancing of Generative Models via Diversity Weights Sebastian Berns S. Colton Christian Guckelsberger 19 3 0 24 Apr 2023
Data Valuation Without Training of a Model Nohyun Ki Hoyong Choi Hye Won Chung TDI 8 31 0 03 Jan 2023
Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling J. Nam Sangwoo Mo Jaeho Lee Jinwoo Shin 21 7 0 05 Dec 2022
Deep Data Augmentation for Weed Recognition Enhancement: A Diffusion Probabilistic Model and Transfer Learning Based Approach Dong Chen Xinda Qi Yu Zheng Yuzhen Lu Zhao Li DiffM 18 15 0 18 Oct 2022
EditGAN: High-Precision Semantic Image Editing Huan Ling Karsten Kreis Daiqing Li Seung Wook Kim Antonio Torralba Sanja Fidler DiffM GAN 13 200 0 04 Nov 2021
Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence Tianshi Cao Alex Bie Arash Vahdat Sanja Fidler Karsten Kreis SyDa DiffM 11 71 0 01 Nov 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 264 10,344 0 12 Dec 2018