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Debiasing Vision-Language Models via Biased Prompts

Debiasing Vision-Language Models via Biased Prompts

31 January 2023
Ching-Yao Chuang
Varun Jampani
Yuanzhen Li
Antonio Torralba
Stefanie Jegelka
    VLM
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Papers citing "Debiasing Vision-Language Models via Biased Prompts"

26 / 76 papers shown
Title
SocialCounterfactuals: Probing and Mitigating Intersectional Social
  Biases in Vision-Language Models with Counterfactual Examples
SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples
Phillip Howard
Avinash Madasu
Tiep Le
Gustavo Lujan Moreno
Anahita Bhiwandiwalla
Vasudev Lal
43
16
0
30 Nov 2023
Fair Text-to-Image Diffusion via Fair Mapping
Fair Text-to-Image Diffusion via Fair Mapping
Jia Li
Lijie Hu
Jingfeng Zhang
Tianhang Zheng
Hua Zhang
Di Wang
36
12
0
29 Nov 2023
Self-Discovering Interpretable Diffusion Latent Directions for
  Responsible Text-to-Image Generation
Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation
Hang Li
Chengzhi Shen
Philip H. S. Torr
Volker Tresp
Jindong Gu
24
30
0
28 Nov 2023
From Wrong To Right: A Recursive Approach Towards Vision-Language
  Explanation
From Wrong To Right: A Recursive Approach Towards Vision-Language Explanation
Jiaxin Ge
Sanjay Subramanian
Trevor Darrell
Boyi Li
LRM
18
4
0
21 Nov 2023
Finetuning Text-to-Image Diffusion Models for Fairness
Finetuning Text-to-Image Diffusion Models for Fairness
Xudong Shen
Chao Du
Tianyu Pang
Min-Bin Lin
Yongkang Wong
Mohan S. Kankanhalli
8
49
0
11 Nov 2023
Evaluating the Fairness of Discriminative Foundation Models in Computer
  Vision
Evaluating the Fairness of Discriminative Foundation Models in Computer Vision
Junaid Ali
Matthäus Kleindessner
F. Wenzel
Kailash Budhathoki
V. Cevher
Chris Russell
VLM
60
10
0
18 Oct 2023
Probing Intersectional Biases in Vision-Language Models with
  Counterfactual Examples
Probing Intersectional Biases in Vision-Language Models with Counterfactual Examples
Phillip Howard
Avinash Madasu
Tiep Le
Gustavo Lujan Moreno
Vasudev Lal
VLM
21
4
0
04 Oct 2023
Targeted Image Data Augmentation Increases Basic Skills Captioning
  Robustness
Targeted Image Data Augmentation Increases Basic Skills Captioning Robustness
Valentin Barriere
Felipe del Rio
Andres Carvallo De Ferari
Carlos Aspillaga
Eugenio Herrera-Berg
Cristian Buc Calderon
DiffM
19
0
0
27 Sep 2023
Survey of Social Bias in Vision-Language Models
Survey of Social Bias in Vision-Language Models
Nayeon Lee
Yejin Bang
Holy Lovenia
Samuel Cahyawijaya
Wenliang Dai
Pascale Fung
VLM
36
16
0
24 Sep 2023
GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph
GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph
Xin Li
Dongze Lian
Zhihe Lu
Jiawang Bai
Zhibo Chen
Xinchao Wang
VLM
27
60
0
24 Sep 2023
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
17
52
0
11 Sep 2023
Zero-Shot Robustification of Zero-Shot Models
Zero-Shot Robustification of Zero-Shot Models
Dyah Adila
Changho Shin
Lin Cai
Frederic Sala
29
18
0
08 Sep 2023
Unified Concept Editing in Diffusion Models
Unified Concept Editing in Diffusion Models
Rohit Gandikota
Hadas Orgad
Yonatan Belinkov
Joanna Materzyñska
David Bau
DiffM
39
160
0
25 Aug 2023
PerceptionCLIP: Visual Classification by Inferring and Conditioning on
  Contexts
PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts
Bang An
Sicheng Zhu
Michael-Andrei Panaitescu-Liess
Chaithanya Kumar Mummadi
Furong Huang
VLM
20
7
0
02 Aug 2023
VisoGender: A dataset for benchmarking gender bias in image-text pronoun
  resolution
VisoGender: A dataset for benchmarking gender bias in image-text pronoun resolution
S. Hall
F. G. Abrantes
Hanwen Zhu
Grace A. Sodunke
Aleksandar Shtedritski
Hannah Rose Kirk
CoGe
11
38
0
21 Jun 2023
The Hidden Language of Diffusion Models
The Hidden Language of Diffusion Models
Hila Chefer
Oran Lang
Mor Geva
Volodymyr Polosukhin
Assaf Shocher
Michal Irani
Inbar Mosseri
Lior Wolf
DiffM
20
26
0
01 Jun 2023
Balancing the Picture: Debiasing Vision-Language Datasets with Synthetic
  Contrast Sets
Balancing the Picture: Debiasing Vision-Language Datasets with Synthetic Contrast Sets
Brandon Smith
Miguel Farinha
S. Hall
Hannah Rose Kirk
Aleksandar Shtedritski
Max Bain
21
19
0
24 May 2023
Mitigating Test-Time Bias for Fair Image Retrieval
Mitigating Test-Time Bias for Fair Image Retrieval
Fanjie Kong
Shuai Yuan
Weituo Hao
Ricardo Henao
12
16
0
23 May 2023
Inspecting the Geographical Representativeness of Images from
  Text-to-Image Models
Inspecting the Geographical Representativeness of Images from Text-to-Image Models
Aparna Basu
R. Venkatesh Babu
Danish Pruthi
DiffM
17
39
0
18 May 2023
What does CLIP know about a red circle? Visual prompt engineering for
  VLMs
What does CLIP know about a red circle? Visual prompt engineering for VLMs
Aleksandar Shtedritski
Christian Rupprecht
Andrea Vedaldi
VLM
MLLM
21
137
0
13 Apr 2023
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases
Aengus Lynch
G. Dovonon
Jean Kaddour
Ricardo M. A. Silva
184
30
0
09 Mar 2023
Linear Spaces of Meanings: Compositional Structures in Vision-Language
  Models
Linear Spaces of Meanings: Compositional Structures in Vision-Language Models
Matthew Trager
Pramuditha Perera
L. Zancato
Alessandro Achille
Parminder Bhatia
Stefano Soatto
CoGe
8
30
0
28 Feb 2023
A Categorical Archive of ChatGPT Failures
A Categorical Archive of ChatGPT Failures
Ali Borji
ELM
20
358
0
06 Feb 2023
Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias
  in Image Search
Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search
Jialu Wang
Yang Liu
X. Wang
FaML
155
95
0
12 Sep 2021
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
294
4,143
0
23 Aug 2019
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
210
663
0
17 Feb 2018
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