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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"

32 / 32 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
31
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
32
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
43
18
0
28 Feb 2024
Elucidate Gender Fairness in Singing Voice Transcription
Elucidate Gender Fairness in Singing Voice Transcription
Xiangming Gu
Weizhen Zeng
Ye Wang
10
3
0
05 Aug 2023
Improving Fair Training under Correlation Shifts
Improving Fair Training under Correlation Shifts
Yuji Roh
Kangwook Lee
Steven Euijong Whang
Changho Suh
22
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
28
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
16
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
19
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
28
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
20
2
0
06 Oct 2022
Fairness Reprogramming
Fairness Reprogramming
Guanhua Zhang
Yihua Zhang
Yang Zhang
Wenqi Fan
Qing Li
Sijia Liu
Shiyu Chang
AAML
78
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
6
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
22
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
23
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
14
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
22
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
17
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
92
70
0
27 Jan 2022
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
11
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
13
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
19
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
19
20
0
01 Sep 2021
Featurized Density Ratio Estimation
Featurized Density Ratio Estimation
Kristy Choi
Madeline Liao
Stefano Ermon
TPM
14
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
27
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
16
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
19
118
0
12 Jun 2021
Pretrained Transformers as Universal Computation Engines
Pretrained Transformers as Universal Computation Engines
Kevin Lu
Aditya Grover
Pieter Abbeel
Igor Mordatch
26
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
27
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
206
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
224
3,190
0
30 Oct 2016
Revisiting Classifier Two-Sample Tests
Revisiting Classifier Two-Sample Tests
David Lopez-Paz
Maxime Oquab
67
390
0
20 Oct 2016
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