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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
ArXiv (abs)PDFHTML

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

50 / 269 papers shown
Title
Pre-trained Language Models in Biomedical Domain: A Systematic Survey
Pre-trained Language Models in Biomedical Domain: A Systematic Survey
Benyou Wang
Qianqian Xie
Jiahuan Pei
Zhihong Chen
Prayag Tiwari
Zhao Li
Jie Fu
LM&MAAI4CE
154
171
0
11 Oct 2021
Multi-Objective Few-shot Learning for Fair Classification
Multi-Objective Few-shot Learning for Fair Classification
Ishani Mondal
Procheta Sen
Debasis Ganguly
FaML
23
4
0
05 Oct 2021
Adversarial Examples Generation for Reducing Implicit Gender Bias in
  Pre-trained Models
Adversarial Examples Generation for Reducing Implicit Gender Bias in Pre-trained Models
Wenqian Ye
Fei Xu
Yaojia Huang
Cassie Huang
A. Ji
27
2
0
03 Oct 2021
PASS: An ImageNet replacement for self-supervised pretraining without
  humans
PASS: An ImageNet replacement for self-supervised pretraining without humans
Yuki M. Asano
Christian Rupprecht
Andrew Zisserman
Andrea Vedaldi
VLMSSL
100
58
0
27 Sep 2021
Faithful Target Attribute Prediction in Neural Machine Translation
Faithful Target Attribute Prediction in Neural Machine Translation
Xing Niu
Georgiana Dinu
Prashant Mathur
Anna Currey
56
4
0
24 Sep 2021
Mitigating Language-Dependent Ethnic Bias in BERT
Mitigating Language-Dependent Ethnic Bias in BERT
Jaimeen Ahn
Alice Oh
226
101
0
13 Sep 2021
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
Xinze Wang
FaML
205
95
0
12 Sep 2021
Vision Matters When It Should: Sanity Checking Multimodal Machine
  Translation Models
Vision Matters When It Should: Sanity Checking Multimodal Machine Translation Models
Jiaoda Li
Duygu Ataman
Rico Sennrich
71
33
0
08 Sep 2021
Hi, my name is Martha: Using names to measure and mitigate bias in
  generative dialogue models
Hi, my name is Martha: Using names to measure and mitigate bias in generative dialogue models
Eric Michael Smith
Adina Williams
120
28
0
07 Sep 2021
Causal Inference in Natural Language Processing: Estimation, Prediction,
  Interpretation and Beyond
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond
Amir Feder
Katherine A. Keith
Emaad A. Manzoor
Reid Pryzant
Dhanya Sridhar
...
Roi Reichart
Margaret E. Roberts
Brandon M Stewart
Victor Veitch
Diyi Yang
CML
114
244
0
02 Sep 2021
Harms of Gender Exclusivity and Challenges in Non-Binary Representation
  in Language Technologies
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies
Sunipa Dev
Masoud Monajatipoor
Anaelia Ovalle
Arjun Subramonian
J. M. Phillips
Kai-Wei Chang
135
176
0
27 Aug 2021
Understanding and Mitigating Annotation Bias in Facial Expression
  Recognition
Understanding and Mitigating Annotation Bias in Facial Expression Recognition
Yunliang Chen
Jungseock Joo
CVBM
81
86
0
19 Aug 2021
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks
Yushun Dong
Ninghao Liu
B. Jalaeian
Jundong Li
101
123
0
11 Aug 2021
Do Datasets Have Politics? Disciplinary Values in Computer Vision
  Dataset Development
Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development
M. Scheuerman
Emily L. Denton
A. Hanna
81
214
0
09 Aug 2021
A Survey on Bias in Visual Datasets
A Survey on Bias in Visual Datasets
Simone Fabbrizzi
Symeon Papadopoulos
Eirini Ntoutsi
Y. Kompatsiaris
200
126
0
16 Jul 2021
Trustworthy AI: A Computational Perspective
Trustworthy AI: A Computational Perspective
Haochen Liu
Yiqi Wang
Wenqi Fan
Xiaorui Liu
Yaxin Li
Shaili Jain
Yunhao Liu
Anil K. Jain
Jiliang Tang
FaML
192
212
0
12 Jul 2021
Anticipating Safety Issues in E2E Conversational AI: Framework and
  Tooling
Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling
Emily Dinan
Gavin Abercrombie
A. S. Bergman
Shannon L. Spruit
Dirk Hovy
Y-Lan Boureau
Verena Rieser
97
108
0
07 Jul 2021
Fair Visual Recognition in Limited Data Regime using Self-Supervision
  and Self-Distillation
Fair Visual Recognition in Limited Data Regime using Self-Supervision and Self-Distillation
Pratik Mazumder
Pravendra Singh
Vinay P. Namboodiri
SSL
43
2
0
30 Jun 2021
Towards Understanding and Mitigating Social Biases in Language Models
Towards Understanding and Mitigating Social Biases in Language Models
Paul Pu Liang
Chiyu Wu
Louis-Philippe Morency
Ruslan Salakhutdinov
102
398
0
24 Jun 2021
A Survey of Race, Racism, and Anti-Racism in NLP
A Survey of Race, Racism, and Anti-Racism in NLP
Anjalie Field
Su Lin Blodgett
Zeerak Talat
Yulia Tsvetkov
86
124
0
21 Jun 2021
Understanding and Evaluating Racial Biases in Image Captioning
Understanding and Evaluating Racial Biases in Image Captioning
Dora Zhao
Angelina Wang
Olga Russakovsky
71
138
0
16 Jun 2021
Correcting Exposure Bias for Link Recommendation
Correcting Exposure Bias for Link Recommendation
Shantanu Gupta
Hao Wang
Zachary Chase Lipton
Bernie Wang
CML
80
35
0
13 Jun 2021
Assessing Multilingual Fairness in Pre-trained Multimodal
  Representations
Assessing Multilingual Fairness in Pre-trained Multimodal Representations
Jialu Wang
Yang Liu
Xinze Wang
EGVM
95
37
0
12 Jun 2021
Human-Adversarial Visual Question Answering
Human-Adversarial Visual Question Answering
Sasha Sheng
Amanpreet Singh
Vedanuj Goswami
Jose Alberto Lopez Magana
Wojciech Galuba
Devi Parikh
Douwe Kiela
OODEgoVAAML
55
63
0
04 Jun 2021
Gender Bias Hidden Behind Chinese Word Embeddings: The Case of Chinese
  Adjectives
Gender Bias Hidden Behind Chinese Word Embeddings: The Case of Chinese Adjectives
Meichun Jiao
Ziyang Luo
49
9
0
01 Jun 2021
InfoFair: Information-Theoretic Intersectional Fairness
InfoFair: Information-Theoretic Intersectional Fairness
Jian Kang
Tiankai Xie
Xintao Wu
Ross Maciejewski
Hanghang Tong
FaML
64
20
0
24 May 2021
Restoring Hebrew Diacritics Without a Dictionary
Restoring Hebrew Diacritics Without a Dictionary
Elazar Gershuni
Yuval Pinter
54
8
0
11 May 2021
On the Sensitivity and Stability of Model Interpretations in NLP
On the Sensitivity and Stability of Model Interpretations in NLP
Fan Yin
Zhouxing Shi
Cho-Jui Hsieh
Kai-Wei Chang
FAtt
83
33
0
18 Apr 2021
Worst of Both Worlds: Biases Compound in Pre-trained Vision-and-Language
  Models
Worst of Both Worlds: Biases Compound in Pre-trained Vision-and-Language Models
Tejas Srinivasan
Yonatan Bisk
VLM
79
56
0
18 Apr 2021
Quantifying Gender Bias Towards Politicians in Cross-Lingual Language
  Models
Quantifying Gender Bias Towards Politicians in Cross-Lingual Language Models
Karolina Stañczak
Sagnik Ray Choudhury
Tiago Pimentel
Ryan Cotterell
Isabelle Augenstein
77
24
0
15 Apr 2021
First the worst: Finding better gender translations during beam search
First the worst: Finding better gender translations during beam search
D. Saunders
Rosie Sallis
Bill Byrne
56
28
0
15 Apr 2021
On the Interpretability and Significance of Bias Metrics in Texts: a
  PMI-based Approach
On the Interpretability and Significance of Bias Metrics in Texts: a PMI-based Approach
Francisco Valentini
Germán Rosati
Damián E. Blasi
D. Slezak
Edgar Altszyler
39
3
0
13 Apr 2021
Gender Bias in Machine Translation
Gender Bias in Machine Translation
Beatrice Savoldi
Marco Gaido
L. Bentivogli
Matteo Negri
Marco Turchi
195
207
0
13 Apr 2021
FIBER: Fill-in-the-Blanks as a Challenging Video Understanding
  Evaluation Framework
FIBER: Fill-in-the-Blanks as a Challenging Video Understanding Evaluation Framework
Santiago Castro
Ruoyao Wang
Pingxuan Huang
Ian Stewart
Oana Ignat
Nan Liu
Jonathan C. Stroud
Rada Mihalcea
AIMat
89
11
0
09 Apr 2021
Towards General Purpose Vision Systems
Towards General Purpose Vision Systems
Tanmay Gupta
Amita Kamath
Aniruddha Kembhavi
Derek Hoiem
83
53
0
01 Apr 2021
Improved and efficient inter-vehicle distance estimation using road
  gradients of both ego and target vehicles
Improved and efficient inter-vehicle distance estimation using road gradients of both ego and target vehicles
Robik Shrestha
Jinkyu Lee
Kushal Kafle
S. Hwang
Il Yong Chun
64
1
0
01 Apr 2021
Alignment of Language Agents
Alignment of Language Agents
Zachary Kenton
Tom Everitt
Laura Weidinger
Iason Gabriel
Vladimir Mikulik
G. Irving
85
166
0
26 Mar 2021
SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers
SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers
Dheeraj Rajagopal
Vidhisha Balachandran
Eduard H. Hovy
Yulia Tsvetkov
MILMSSLFAttAI4TS
80
67
0
23 Mar 2021
A Study of Face Obfuscation in ImageNet
A Study of Face Obfuscation in ImageNet
Kaiyu Yang
Jacqueline Yau
Li Fei-Fei
Jia Deng
Olga Russakovsky
PICVCVBM
106
147
0
10 Mar 2021
Estimating and Improving Fairness with Adversarial Learning
Estimating and Improving Fairness with Adversarial Learning
Xiaoxiao Li
Ziteng Cui
Yifan Wu
Li Gu
Tatsuya Harada
MedIm
61
41
0
07 Mar 2021
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based
  Bias in NLP
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP
Timo Schick
Sahana Udupa
Hinrich Schütze
317
388
0
28 Feb 2021
Directional Bias Amplification
Directional Bias Amplification
Angelina Wang
Olga Russakovsky
79
70
0
24 Feb 2021
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize
  Long-Tail Visual Concepts
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts
Soravit Changpinyo
P. Sharma
Nan Ding
Radu Soricut
VLM
459
1,143
0
17 Feb 2021
Disembodied Machine Learning: On the Illusion of Objectivity in NLP
Disembodied Machine Learning: On the Illusion of Objectivity in NLP
Zeerak Talat
Smarika Lulz
Joachim Bingel
Isabelle Augenstein
162
51
0
28 Jan 2021
Re-imagining Algorithmic Fairness in India and Beyond
Re-imagining Algorithmic Fairness in India and Beyond
Nithya Sambasivan
Erin Arnesen
Ben Hutchinson
Tulsee Doshi
Vinodkumar Prabhakaran
FaML
106
185
0
25 Jan 2021
Dictionary-based Debiasing of Pre-trained Word Embeddings
Dictionary-based Debiasing of Pre-trained Word Embeddings
Masahiro Kaneko
Danushka Bollegala
FaML
97
38
0
23 Jan 2021
Controlled Analyses of Social Biases in Wikipedia Bios
Controlled Analyses of Social Biases in Wikipedia Bios
Anjalie Field
Chan Young Park
Kevin Z. Lin
Yulia Tsvetkov
65
26
0
31 Dec 2020
Data and its (dis)contents: A survey of dataset development and use in
  machine learning research
Data and its (dis)contents: A survey of dataset development and use in machine learning research
Amandalynne Paullada
Inioluwa Deborah Raji
Emily M. Bender
Emily L. Denton
A. Hanna
129
529
0
09 Dec 2020
Attribute-Guided Adversarial Training for Robustness to Natural
  Perturbations
Attribute-Guided Adversarial Training for Robustness to Natural Perturbations
Tejas Gokhale
Rushil Anirudh
B. Kailkhura
Jayaraman J. Thiagarajan
Chitta Baral
Yezhou Yang
AAMLOOD
58
38
0
03 Dec 2020
Fair Attribute Classification through Latent Space De-biasing
Fair Attribute Classification through Latent Space De-biasing
V. V. Ramaswamy
Sunnie S. Y. Kim
Olga Russakovsky
90
164
0
02 Dec 2020
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