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Men Also Like Shopping: Reducing Gender Bias Amplification using
  Corpus-level Constraints

Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints

29 July 2017
Jieyu Zhao
Tianlu Wang
Mark Yatskar
Vicente Ordonez
Kai-Wei Chang
    FaML
ArXivPDFHTML

Papers citing "Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints"

50 / 184 papers shown
Title
Uncovering Cultural Representation Disparities in Vision-Language Models
Uncovering Cultural Representation Disparities in Vision-Language Models
Ram Mohan Rao Kadiyala
Siddhant Gupta
Jebish Purbey
Srishti Yadav
Alejandro Salamanca
Desmond Elliott
11
0
0
20 May 2025
Wisdom from Diversity: Bias Mitigation Through Hybrid Human-LLM Crowds
Wisdom from Diversity: Bias Mitigation Through Hybrid Human-LLM Crowds
Axel Abels
Tom Lenaerts
7
0
0
18 May 2025
Personalisation or Prejudice? Addressing Geographic Bias in Hate Speech Detection using Debias Tuning in Large Language Models
Personalisation or Prejudice? Addressing Geographic Bias in Hate Speech Detection using Debias Tuning in Large Language Models
Paloma Piot
Patricia Martín-Rodilla
Javier Parapar
50
0
0
04 May 2025
Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers
Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers
Quentin Guimard
Moreno DÍncà
Massimiliano Mancini
Elisa Ricci
SSL
72
0
0
29 Apr 2025
Attention IoU: Examining Biases in CelebA using Attention Maps
Attention IoU: Examining Biases in CelebA using Attention Maps
Aaron Serianni
Tyler Zhu
Olga Russakovsky
V. V. Ramaswamy
50
0
0
25 Mar 2025
Gender and content bias in Large Language Models: a case study on Google Gemini 2.0 Flash Experimental
Gender and content bias in Large Language Models: a case study on Google Gemini 2.0 Flash Experimental
Roberto Balestri
49
0
0
18 Mar 2025
Measuring directional bias amplification in image captions using predictability
Rahul Nair
Bhanu Tokas
Neel Shah
Hannah Kerner
53
0
0
10 Mar 2025
Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers
Huan Tian
Guangsheng Zhang
Bo Liu
Tianqing Zhu
Ming Ding
Wanlei Zhou
58
0
0
08 Mar 2025
Cross-Lingual Transfer of Debiasing and Detoxification in Multilingual LLMs: An Extensive Investigation
Cross-Lingual Transfer of Debiasing and Detoxification in Multilingual LLMs: An Extensive Investigation
Vera Neplenbroek
Arianna Bisazza
Raquel Fernández
110
0
0
17 Feb 2025
Large language models can replicate cross-cultural differences in personality
Large language models can replicate cross-cultural differences in personality
Paweł Niszczota
Mateusz Janczak
Michał Misiak
54
6
0
28 Jan 2025
One VLM to Keep it Learning: Generation and Balancing for Data-free Continual Visual Question Answering
One VLM to Keep it Learning: Generation and Balancing for Data-free Continual Visual Question Answering
Deepayan Das
Davide Talon
Massimiliano Mancini
Yiming Wang
Elisa Ricci
55
0
0
04 Nov 2024
Ethical Challenges in Computer Vision: Ensuring Privacy and Mitigating
  Bias in Publicly Available Datasets
Ethical Challenges in Computer Vision: Ensuring Privacy and Mitigating Bias in Publicly Available Datasets
Ghalib Ahmed Tahir
22
0
0
31 Aug 2024
FairJob: A Real-World Dataset for Fairness in Online Systems
FairJob: A Real-World Dataset for Fairness in Online Systems
Mariia Vladimirova
Federico Pavone
Eustache Diemert
49
1
0
03 Jul 2024
Images Speak Louder than Words: Understanding and Mitigating Bias in
  Vision-Language Model from a Causal Mediation Perspective
Images Speak Louder than Words: Understanding and Mitigating Bias in Vision-Language Model from a Causal Mediation Perspective
Zhaotian Weng
Zijun Gao
Jerone Andrews
Jieyu Zhao
35
1
0
03 Jul 2024
GenderBias-\emph{VL}: Benchmarking Gender Bias in Vision Language Models
  via Counterfactual Probing
GenderBias-\emph{VL}: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing
Yisong Xiao
Aishan Liu
QianJia Cheng
Zhenfei Yin
Siyuan Liang
Jiapeng Li
Jing Shao
Xianglong Liu
Dacheng Tao
66
4
0
30 Jun 2024
Towards Robust Training Datasets for Machine Learning with Ontologies: A
  Case Study for Emergency Road Vehicle Detection
Towards Robust Training Datasets for Machine Learning with Ontologies: A Case Study for Emergency Road Vehicle Detection
Lynn Vonderhaar
Timothy Elvira
T. Procko
Omar Ochoa
44
0
0
21 Jun 2024
Addressing Discretization-Induced Bias in Demographic Prediction
Addressing Discretization-Induced Bias in Demographic Prediction
Evan Dong
Aaron Schein
Yixin Wang
Nikhil Garg
45
3
0
27 May 2024
Hire Me or Not? Examining Language Model's Behavior with Occupation Attributes
Hire Me or Not? Examining Language Model's Behavior with Occupation Attributes
Damin Zhang
Yi Zhang
Geetanjali Bihani
Julia Taylor Rayz
56
2
0
06 May 2024
Large Language Models (LLMs) as Agents for Augmented Democracy
Large Language Models (LLMs) as Agents for Augmented Democracy
Jairo Gudiño-Rosero
Umberto Grandi
César A. Hidalgo
LLMAG
42
127
0
06 May 2024
Regional biases in image geolocation estimation: a case study with the
  SenseCity Africa dataset
Regional biases in image geolocation estimation: a case study with the SenseCity Africa dataset
Ximena Salgado Uribe
Martí Bosch
Jérome Chenal
35
0
0
03 Apr 2024
Implications of the AI Act for Non-Discrimination Law and Algorithmic
  Fairness
Implications of the AI Act for Non-Discrimination Law and Algorithmic Fairness
Luca Deck
Jan-Laurin Müller
Conradin Braun
Domenique Zipperling
Niklas Kühl
FaML
46
5
0
29 Mar 2024
Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias
  in Factual Knowledge Extraction
Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction
Ziyang Xu
Keqin Peng
Liang Ding
Dacheng Tao
Xiliang Lu
34
10
0
15 Mar 2024
Digital Divides in Scene Recognition: Uncovering Socioeconomic Biases in Deep Learning Systems
Digital Divides in Scene Recognition: Uncovering Socioeconomic Biases in Deep Learning Systems
Michelle R. Greene
Mariam Josyula
Wentao Si
Jennifer A. Hart
50
0
0
23 Jan 2024
AI for All: Operationalising Diversity and Inclusion Requirements for AI
  Systems
AI for All: Operationalising Diversity and Inclusion Requirements for AI Systems
Muneera Bano
Didar Zowghi
Vincenzo Gervasi
R. Shams
22
6
0
07 Nov 2023
Evaluating Bias and Fairness in Gender-Neutral Pretrained
  Vision-and-Language Models
Evaluating Bias and Fairness in Gender-Neutral Pretrained Vision-and-Language Models
Laura Cabello
Emanuele Bugliarello
Stephanie Brandl
Desmond Elliott
28
7
0
26 Oct 2023
Confronting LLMs with Traditional ML: Rethinking the Fairness of Large
  Language Models in Tabular Classifications
Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications
Yanchen Liu
Srishti Gautam
Jiaqi Ma
Himabindu Lakkaraju
LMTD
26
12
0
23 Oct 2023
Towards Fair and Calibrated Models
Towards Fair and Calibrated Models
Anand Brahmbhatt
Vipul Rathore
Mausam
Parag Singla
FaML
21
2
0
16 Oct 2023
"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in
  LLM-Generated Reference Letters
"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters
Yixin Wan
George Pu
Jiao Sun
Aparna Garimella
Kai-Wei Chang
Nanyun Peng
44
163
0
13 Oct 2023
Partition-and-Debias: Agnostic Biases Mitigation via A Mixture of
  Biases-Specific Experts
Partition-and-Debias: Agnostic Biases Mitigation via A Mixture of Biases-Specific Experts
Jiaxuan Li
D. Vo
Hideki Nakayama
26
3
0
19 Aug 2023
DIG In: Evaluating Disparities in Image Generations with Indicators for
  Geographic Diversity
DIG In: Evaluating Disparities in Image Generations with Indicators for Geographic Diversity
Melissa Hall
Candace Ross
Adina Williams
Nicolas Carion
M. Drozdzal
Adriana Romero Soriano
EGVM
32
5
0
11 Aug 2023
On The Impact of Machine Learning Randomness on Group Fairness
On The Impact of Machine Learning Randomness on Group Fairness
Prakhar Ganesh
Hong Chang
Martin Strobel
Reza Shokri
FaML
36
30
0
09 Jul 2023
PaLI-X: On Scaling up a Multilingual Vision and Language Model
PaLI-X: On Scaling up a Multilingual Vision and Language Model
Xi Chen
Josip Djolonga
Piotr Padlewski
Basil Mustafa
Soravit Changpinyo
...
Mojtaba Seyedhosseini
A. Angelova
Xiaohua Zhai
N. Houlsby
Radu Soricut
VLM
76
190
0
29 May 2023
Comparing Biases and the Impact of Multilingual Training across Multiple
  Languages
Comparing Biases and the Impact of Multilingual Training across Multiple Languages
Sharon Levy
Neha Ann John
Ling Liu
Yogarshi Vyas
Jie Ma
Yoshinari Fujinuma
Miguel Ballesteros
Vittorio Castelli
Dan Roth
31
26
0
18 May 2023
Consensus and Subjectivity of Skin Tone Annotation for ML Fairness
Consensus and Subjectivity of Skin Tone Annotation for ML Fairness
Candice Schumann
Gbolahan O. Olanubi
Auriel Wright
Ellis P. Monk
Courtney Heldreth
Susanna Ricco
30
21
0
16 May 2023
Uncurated Image-Text Datasets: Shedding Light on Demographic Bias
Uncurated Image-Text Datasets: Shedding Light on Demographic Bias
Noa Garcia
Yusuke Hirota
Yankun Wu
Yuta Nakashima
EGVM
48
51
0
06 Apr 2023
Segment Anything
Segment Anything
A. Kirillov
Eric Mintun
Nikhila Ravi
Hanzi Mao
Chloe Rolland
...
Spencer Whitehead
Alexander C. Berg
Wan-Yen Lo
Piotr Dollár
Ross B. Girshick
MLLM
VLM
125
6,867
0
05 Apr 2023
Implicit Visual Bias Mitigation by Posterior Estimate Sharpening of a Bayesian Neural Network
Rebecca S Stone
Nishant Ravikumar
A. Bulpitt
David C. Hogg
BDL
41
0
0
29 Mar 2023
Overwriting Pretrained Bias with Finetuning Data
Overwriting Pretrained Bias with Finetuning Data
Angelina Wang
Olga Russakovsky
31
30
0
10 Mar 2023
How optimal transport can tackle gender biases in multi-class
  neural-network classifiers for job recommendations?
How optimal transport can tackle gender biases in multi-class neural-network classifiers for job recommendations?
Fanny Jourdan
Titon Tshiongo Kaninku
Nicholas M. Asher
Jean-Michel Loubes
Laurent Risser
FaML
28
4
0
27 Feb 2023
UnbiasedNets: A Dataset Diversification Framework for Robustness Bias
  Alleviation in Neural Networks
UnbiasedNets: A Dataset Diversification Framework for Robustness Bias Alleviation in Neural Networks
Mahum Naseer
B. Prabakaran
Osman Hasan
Mohamed Bennai
24
7
0
24 Feb 2023
Retrieval-augmented Image Captioning
Retrieval-augmented Image Captioning
R. Ramos
Desmond Elliott
Bruno Martins
VLM
34
29
0
16 Feb 2023
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed
  on AI-based Recruitment
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment
Alejandro Peña
Ignacio Serna
Aythami Morales
Julian Fierrez
Alfonso Ortega
Ainhoa Herrarte
Manuel Alcántara
J. Ortega-Garcia
FaML
25
35
0
13 Feb 2023
Scaling Vision Transformers to 22 Billion Parameters
Scaling Vision Transformers to 22 Billion Parameters
Mostafa Dehghani
Josip Djolonga
Basil Mustafa
Piotr Padlewski
Jonathan Heek
...
Mario Luvcić
Xiaohua Zhai
Daniel Keysers
Jeremiah Harmsen
N. Houlsby
MLLM
90
574
0
10 Feb 2023
Out of Context: Investigating the Bias and Fairness Concerns of
  "Artificial Intelligence as a Service"
Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service"
Kornel Lewicki
M. S. Lee
Jennifer Cobbe
Jatinder Singh
41
21
0
02 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
37
97
0
31 Jan 2023
Discovering and Mitigating Visual Biases through Keyword Explanation
Discovering and Mitigating Visual Biases through Keyword Explanation
Younghyun Kim
Sangwoo Mo
Minkyu Kim
Kyungmin Lee
Jaeho Lee
Jinwoo Shin
42
33
0
26 Jan 2023
The political ideology of conversational AI: Converging evidence on
  ChatGPT's pro-environmental, left-libertarian orientation
The political ideology of conversational AI: Converging evidence on ChatGPT's pro-environmental, left-libertarian orientation
Jochen Hartmann
Jasper Schwenzow
Maximilian Witte
22
203
0
05 Jan 2023
CORGI-PM: A Chinese Corpus For Gender Bias Probing and Mitigation
CORGI-PM: A Chinese Corpus For Gender Bias Probing and Mitigation
Ge Zhang
Yizhi Li
Yaoyao Wu
Linyuan Zhang
Chenghua Lin
Jiayi Geng
Shi Wang
Jie Fu
34
10
0
01 Jan 2023
A Comprehensive Study of Gender Bias in Chemical Named Entity
  Recognition Models
A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models
Xingmeng Zhao
A. Niazi
Anthony Rios
36
2
0
24 Dec 2022
Trustworthy Social Bias Measurement
Trustworthy Social Bias Measurement
Rishi Bommasani
Percy Liang
34
10
0
20 Dec 2022
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