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Fair Generative Modeling via Weak Supervision

Fair Generative Modeling via Weak Supervision

26 October 2019
Kristy Choi
Aditya Grover
Trisha Singh
Rui Shu
Stefano Ermon
ArXivPDFHTML

Papers citing "Fair Generative Modeling via Weak Supervision"

37 / 37 papers shown
Title
PFGuard: A Generative Framework with Privacy and Fairness Safeguards
PFGuard: A Generative Framework with Privacy and Fairness Safeguards
Soyeon Kim
Yuji Roh
Geon Heo
Steven Euijong Whang
39
0
0
03 Oct 2024
PopAlign: Population-Level Alignment for Fair Text-to-Image Generation
PopAlign: Population-Level Alignment for Fair Text-to-Image Generation
Shufan Li
Harkanwar Singh
Aditya Grover
EGVM
38
2
0
28 Jun 2024
Balancing Act: Distribution-Guided Debiasing in Diffusion Models
Balancing Act: Distribution-Guided Debiasing in Diffusion Models
Rishubh Parihar
Abhijnya Bhat
Abhipsa Basu
Saswat Mallick
Jogendra Nath Kundu
R. V. Babu
53
19
0
28 Feb 2024
ITI-GEN: Inclusive Text-to-Image Generation
ITI-GEN: Inclusive Text-to-Image Generation
Cheng Zhang
Xuanbai Chen
Siqi Chai
Chen Henry Wu
Dmitry Lagun
Thabo Beeler
Fernando de la Torre
VLM
32
52
0
11 Sep 2023
Elucidate Gender Fairness in Singing Voice Transcription
Elucidate Gender Fairness in Singing Voice Transcription
Xiangming Gu
Weizhen Zeng
Ye Wang
25
3
0
05 Aug 2023
Auditing and Generating Synthetic Data with Controllable Trust
  Trade-offs
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs
Brian M. Belgodere
Pierre L. Dognin
Adam Ivankay
Igor Melnyk
Youssef Mroueh
...
Mattia Rigotti
Jerret Ross
Yair Schiff
Radhika Vedpathak
Richard A. Young
29
12
0
21 Apr 2023
Improving Fair Training under Correlation Shifts
Improving Fair Training under Correlation Shifts
Yuji Roh
Kangwook Lee
Steven Euijong Whang
Changho Suh
35
17
0
05 Feb 2023
Debiasing Vision-Language Models via Biased Prompts
Debiasing Vision-Language Models via Biased Prompts
Ching-Yao Chuang
Varun Jampani
Yuanzhen Li
Antonio Torralba
Stefanie Jegelka
VLM
30
96
0
31 Jan 2023
Don't Play Favorites: Minority Guidance for Diffusion Models
Don't Play Favorites: Minority Guidance for Diffusion Models
Soo Bin Um
Suhyeon Lee
Jong Chul Ye
DiffM
28
21
0
29 Jan 2023
Fair Generative Models via Transfer Learning
Fair Generative Models via Transfer Learning
Christopher T. H. Teo
Milad Abdollahzadeh
Ngai-man Cheung
21
24
0
02 Dec 2022
Men Also Do Laundry: Multi-Attribute Bias Amplification
Men Also Do Laundry: Multi-Attribute Bias Amplification
Dora Zhao
Jerone T. A. Andrews
Alice Xiang
FaML
41
20
0
21 Oct 2022
Fairness in generative modeling
Fairness in generative modeling
M. Zameshina
O. Teytaud
F. Teytaud
Vlad Hosu
N. Carraz
Laurent Najman
Markus Wagner
SyDa
28
2
0
06 Oct 2022
Fairness Reprogramming
Fairness Reprogramming
Guanhua Zhang
Yihua Zhang
Yang Zhang
Wenqi Fan
Qing Li
Sijia Liu
Shiyu Chang
AAML
83
38
0
21 Sep 2022
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained
  Generative Models
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models
Chen Henry Wu
Saman Motamed
Shaunak Srivastava
Fernando de la Torre
VLM
DiffM
21
34
0
14 Sep 2022
CAT: Controllable Attribute Translation for Fair Facial Attribute
  Classification
CAT: Controllable Attribute Translation for Fair Facial Attribute Classification
Jiazhi Li
Wael AbdAlmageed
CVBM
24
8
0
14 Sep 2022
Chairs Can be Stood on: Overcoming Object Bias in Human-Object
  Interaction Detection
Chairs Can be Stood on: Overcoming Object Bias in Human-Object Interaction Detection
Guangzhi Wang
Yangyang Guo
Yongkang Wong
Mohan S. Kankanhalli
31
10
0
06 Jul 2022
Counterfactually Measuring and Eliminating Social Bias in
  Vision-Language Pre-training Models
Counterfactually Measuring and Eliminating Social Bias in Vision-Language Pre-training Models
Yi Zhang
Junyan Wang
Jitao Sang
22
27
0
03 Jul 2022
To the Fairness Frontier and Beyond: Identifying, Quantifying, and
  Optimizing the Fairness-Accuracy Pareto Frontier
To the Fairness Frontier and Beyond: Identifying, Quantifying, and Optimizing the Fairness-Accuracy Pareto Frontier
Camille Olivia Little
Michael Weylandt
Genevera I. Allen
27
13
0
31 May 2022
FairStyle: Debiasing StyleGAN2 with Style Channel Manipulations
FairStyle: Debiasing StyleGAN2 with Style Channel Manipulations
Cemre Karakas
Alara Dirik
Eylül Yalçınkaya
Pinar Yanardag
22
29
0
13 Feb 2022
Right for the Right Latent Factors: Debiasing Generative Models via
  Disentanglement
Right for the Right Latent Factors: Debiasing Generative Models via Disentanglement
Xiaoting Shao
Karl Stelzner
Kristian Kersting
CML
DRL
22
3
0
01 Feb 2022
A Systematic Study of Bias Amplification
A Systematic Study of Bias Amplification
Melissa Hall
L. V. D. van der Maaten
Laura Gustafson
Maxwell Jones
Aaron B. Adcock
102
70
0
27 Jan 2022
Anatomizing Bias in Facial Analysis
Anatomizing Bias in Facial Analysis
Richa Singh
P. Majumdar
S. Mittal
Mayank Vatsa
CVBM
33
23
0
13 Dec 2021
Don't Generate Me: Training Differentially Private Generative Models
  with Sinkhorn Divergence
Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence
Tianshi Cao
Alex Bie
Arash Vahdat
Sanja Fidler
Karsten Kreis
SyDa
DiffM
16
71
0
01 Nov 2021
Sample Selection for Fair and Robust Training
Sample Selection for Fair and Robust Training
Yuji Roh
Kangwook Lee
Steven Euijong Whang
Changho Suh
21
61
0
27 Oct 2021
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative
  Networks
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
A. Saha
Trent Kyono
J. Linmans
M. Schaar
CML
35
105
0
25 Oct 2021
Fair Representation: Guaranteeing Approximate Multiple Group Fairness
  for Unknown Tasks
Fair Representation: Guaranteeing Approximate Multiple Group Fairness for Unknown Tasks
Xudong Shen
Yongkang Wong
Mohan S. Kankanhalli
FaML
37
20
0
01 Sep 2021
LARGE: Latent-Based Regression through GAN Semantics
LARGE: Latent-Based Regression through GAN Semantics
Yotam Nitzan
Rinon Gal
Ofir Brenner
Daniel Cohen-Or
GAN
29
26
0
22 Jul 2021
Featurized Density Ratio Estimation
Featurized Density Ratio Estimation
Kristy Choi
Madeline Liao
Stefano Ermon
TPM
22
22
0
05 Jul 2021
Fairness for Image Generation with Uncertain Sensitive Attributes
Fairness for Image Generation with Uncertain Sensitive Attributes
A. Jalal
Sushrut Karmalkar
Jessica Hoffmann
A. Dimakis
Eric Price
DiffM
32
39
0
23 Jun 2021
Understanding and Evaluating Racial Biases in Image Captioning
Understanding and Evaluating Racial Biases in Image Captioning
Dora Zhao
Angelina Wang
Olga Russakovsky
19
134
0
16 Jun 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation
Abhishek Sinha
Jiaming Song
Chenlin Meng
Stefano Ermon
VLM
DiffM
30
118
0
12 Jun 2021
Discover the Unknown Biased Attribute of an Image Classifier
Discover the Unknown Biased Attribute of an Image Classifier
Zhiheng Li
Chenliang Xu
22
50
0
29 Apr 2021
Pretrained Transformers as Universal Computation Engines
Pretrained Transformers as Universal Computation Engines
Kevin Lu
Aditya Grover
Pieter Abbeel
Igor Mordatch
28
217
0
09 Mar 2021
Towards Fairness in Visual Recognition: Effective Strategies for Bias
  Mitigation
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation
Zeyu Wang
Klint Qinami
Yannis Karakozis
Kyle Genova
P. Nair
Kenji Hata
Olga Russakovsky
32
354
0
26 Nov 2019
The Woman Worked as a Babysitter: On Biases in Language Generation
The Woman Worked as a Babysitter: On Biases in Language Generation
Emily Sheng
Kai-Wei Chang
Premkumar Natarajan
Nanyun Peng
223
616
0
03 Sep 2019
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
250
3,190
0
30 Oct 2016
Revisiting Classifier Two-Sample Tests
Revisiting Classifier Two-Sample Tests
David Lopez-Paz
Maxime Oquab
78
390
0
20 Oct 2016
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