Fair Generative Models via Transfer Learning

2 December 2022

Papers citing "Fair Generative Models via Transfer Learning"

22 / 22 papers shown

Title
Provable Uncertainty Decomposition via Higher-Order Calibration Gustaf Ahdritz Aravind Gollakota Parikshit Gopalan Charlotte Peale Udi Wieder UD UQCV PER 42 0 0 25 Dec 2024
On the Fairness, Diversity and Reliability of Text-to-Image Generative Models J. Vice Naveed Akhtar Richard I. Hartley Ajmal Saeed Mian EGVM 58 0 0 21 Nov 2024
FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation Christopher T. H. Teo Milad Abdollahzadeh Xinda Ma Ngai-man Cheung DiffM 16 1 0 24 Oct 2024
PFGuard: A Generative Framework with Privacy and Fairness Safeguards Soyeon Kim Yuji Roh Geon Heo Steven Euijong Whang 21 0 0 03 Oct 2024
PopAlign: Population-Level Alignment for Fair Text-to-Image Generation Shufan Li Harkanwar Singh Aditya Grover EGVM 16 2 0 28 Jun 2024
Training Unbiased Diffusion Models From Biased Dataset Yeongmin Kim Byeonghu Na Minsang Park Joonho Jang Dongjun Kim Wanmo Kang Il-Chul Moon 14 19 0 02 Mar 2024
Balancing Act: Distribution-Guided Debiasing in Diffusion Models Rishubh Parihar Abhijnya Bhat Abhipsa Basu Saswat Mallick Jogendra Nath Kundu R. V. Babu 37 18 0 28 Feb 2024
Benchmarking the Fairness of Image Upsampling Methods M. Laszkiewicz Imant Daunhawer Julia E. Vogt Asja Fischer Johannes Lederer EGVM 17 3 0 24 Jan 2024
Gaussian Harmony: Attaining Fairness in Diffusion-based Face Generation Models Basudha Pal Arunkumar Kannan Ram Prabhakar Kathirvel Alice J. O'Toole Rama Chellappa DiffM 8 2 0 21 Dec 2023
Quantifying Bias in Text-to-Image Generative Models J. Vice Naveed Akhtar Richard I. Hartley Ajmal Saeed Mian 17 2 0 20 Dec 2023
Label-Only Model Inversion Attacks via Knowledge Transfer Ngoc-Bao Nguyen Keshigeyan Chandrasegaran Milad Abdollahzadeh Ngai-man Cheung 24 13 0 30 Oct 2023
On Measuring Fairness in Generative Models Christopher T. H. Teo Milad Abdollahzadeh Ngai-man Cheung EGVM 14 5 0 30 Oct 2023
Fair GANs through model rebalancing for extremely imbalanced class distributions Anubhav Jain Nasir D. Memon Julian Togelius GAN 23 1 0 16 Aug 2023
A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot Milad Abdollahzadeh Touba Malekzadeh Christopher T. H. Teo Keshigeyan Chandrasegaran Guimeng Liu Ngai-man Cheung VLM MedIm 20 20 0 26 Jul 2023
Re-thinking Model Inversion Attacks Against Deep Neural Networks Ngoc-Bao Nguyen Keshigeyan Chandrasegaran Milad Abdollahzadeh Ngai-man Cheung 19 49 0 04 Apr 2023
EHRDiff: Exploring Realistic EHR Synthesis with Diffusion Models Hongyi Yuan Songchi Zhou Sheng Yu DiffM MedIm 11 16 0 10 Mar 2023
Few-shot Image Generation via Adaptation-Aware Kernel Modulation Yunqing Zhao Keshigeyan Chandrasegaran Milad Abdollahzadeh Ngai-man Cheung 58 42 0 29 Oct 2022
Mitigating Bias in Facial Analysis Systems by Incorporating Label Diversity Camila Kolling Victor Araujo Adriano Veloso S. Musse 10 3 0 13 Apr 2022
MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining Ahmed Imtiaz Humayun Randall Balestriero Richard Baraniuk OOD 27 25 0 15 Oct 2021
Improving the Fairness of Deep Generative Models without Retraining Shuhan Tan Yujun Shen Bolei Zhou 162 53 0 09 Dec 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018
Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution Alice Lucas Santiago López-Tapia Rafael Molina Aggelos K. Katsaggelos GAN SupR 23 171 0 14 Jun 2018