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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
FairFaceGAN: Fairness-aware Facial Image-to-Image Translation
FairFaceGAN: Fairness-aware Facial Image-to-Image Translation
Sunhee Hwang
Sungho Park
D. Kim
Mirae Do
H. Byun
CVBM
99
32
0
01 Dec 2020
Person Perception Biases Exposed: Revisiting the First Impressions
  Dataset
Person Perception Biases Exposed: Revisiting the First Impressions Dataset
Julio C. S. Jacques Junior
Àgata Lapedriza
Cristina Palmero
Xavier Baro
Sergio Escalera
57
11
0
30 Nov 2020
The Geometry of Distributed Representations for Better Alignment,
  Attenuated Bias, and Improved Interpretability
The Geometry of Distributed Representations for Better Alignment, Attenuated Bias, and Improved Interpretability
Sunipa Dev
73
1
0
25 Nov 2020
Gradient Starvation: A Learning Proclivity in Neural Networks
Gradient Starvation: A Learning Proclivity in Neural Networks
Mohammad Pezeshki
Sekouba Kaba
Yoshua Bengio
Aaron Courville
Doina Precup
Guillaume Lajoie
MLT
153
269
0
18 Nov 2020
Investigating Societal Biases in a Poetry Composition System
Investigating Societal Biases in a Poetry Composition System
Emily Sheng
David C. Uthus
83
53
0
05 Nov 2020
Understanding the Failure Modes of Out-of-Distribution Generalization
Understanding the Failure Modes of Out-of-Distribution Generalization
Vaishnavh Nagarajan
Anders Andreassen
Behnam Neyshabur
OODOODD
80
178
0
29 Oct 2020
Image Representations Learned With Unsupervised Pre-Training Contain
  Human-like Biases
Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases
Ryan Steed
Aylin Caliskan
SSL
100
162
0
28 Oct 2020
Measuring and Reducing Gendered Correlations in Pre-trained Models
Measuring and Reducing Gendered Correlations in Pre-trained Models
Kellie Webster
Xuezhi Wang
Ian Tenney
Alex Beutel
Emily Pitler
Ellie Pavlick
Jilin Chen
Ed Chi
Slav Petrov
FaML
86
260
0
12 Oct 2020
Case Study: Deontological Ethics in NLP
Case Study: Deontological Ethics in NLP
Shrimai Prabhumoye
Brendon Boldt
Ruslan Salakhutdinov
A. Black
AILaw
67
29
0
09 Oct 2020
Characterising Bias in Compressed Models
Characterising Bias in Compressed Models
Sara Hooker
Nyalleng Moorosi
Gregory Clark
Samy Bengio
Emily L. Denton
79
185
0
06 Oct 2020
Astraea: Grammar-based Fairness Testing
Astraea: Grammar-based Fairness Testing
E. Soremekun
Sakshi Udeshi
Sudipta Chattopadhyay
154
31
0
06 Oct 2020
Differentially Private Representation for NLP: Formal Guarantee and An
  Empirical Study on Privacy and Fairness
Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness
Lingjuan Lyu
Xuanli He
Yitong Li
103
90
0
03 Oct 2020
Evaluating and Mitigating Bias in Image Classifiers: A Causal
  Perspective Using Counterfactuals
Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals
Saloni Dash
V. Balasubramanian
Amit Sharma
CML
72
70
0
17 Sep 2020
Domain Knowledge Empowered Structured Neural Net for End-to-End Event
  Temporal Relation Extraction
Domain Knowledge Empowered Structured Neural Net for End-to-End Event Temporal Relation Extraction
Rujun Han
Yichao Zhou
Nanyun Peng
NAIBDL
61
40
0
15 Sep 2020
HyperFair: A Soft Approach to Integrating Fairness Criteria
HyperFair: A Soft Approach to Integrating Fairness Criteria
Charles Dickens
Rishika Singh
Lise Getoor
37
4
0
05 Sep 2020
Defining and Evaluating Fair Natural Language Generation
Defining and Evaluating Fair Natural Language Generation
C. Yeo
A. Chen
77
24
0
28 Jul 2020
Towards Debiasing Sentence Representations
Towards Debiasing Sentence Representations
Paul Pu Liang
Irene Li
Emily Zheng
Y. Lim
Ruslan Salakhutdinov
Louis-Philippe Morency
92
241
0
16 Jul 2020
Reducing Language Biases in Visual Question Answering with
  Visually-Grounded Question Encoder
Reducing Language Biases in Visual Question Answering with Visually-Grounded Question Encoder
K. Gouthaman
Anurag Mittal
94
79
0
13 Jul 2020
OSCaR: Orthogonal Subspace Correction and Rectification of Biases in
  Word Embeddings
OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings
Sunipa Dev
Tao Li
J. M. Phillips
Vivek Srikumar
114
55
0
30 Jun 2020
Mitigating Gender Bias in Captioning Systems
Mitigating Gender Bias in Captioning Systems
Ruixiang Tang
Mengnan Du
Yuening Li
Zirui Liu
Na Zou
Helen Zhou
FaML
96
66
0
15 Jun 2020
Mitigating Face Recognition Bias via Group Adaptive Classifier
Mitigating Face Recognition Bias via Group Adaptive Classifier
Sixue Gong
Xiaoming Liu
Anil K. Jain
CVBMFaML
64
92
0
13 Jun 2020
Group-Fair Online Allocation in Continuous Time
Group-Fair Online Allocation in Continuous Time
Semih Cayci
Swati Gupta
A. Eryilmaz
FaML
52
20
0
11 Jun 2020
Deep Structural Causal Models for Tractable Counterfactual Inference
Deep Structural Causal Models for Tractable Counterfactual Inference
Nick Pawlowski
Daniel Coelho De Castro
Ben Glocker
CMLMedIm
110
243
0
11 Jun 2020
Fairness-Aware Explainable Recommendation over Knowledge Graphs
Fairness-Aware Explainable Recommendation over Knowledge Graphs
Zuohui Fu
Yikun Xian
Ruoyuan Gao
Jieyu Zhao
Qiaoying Huang
...
Shuyuan Xu
Shijie Geng
C. Shah
Yongfeng Zhang
Gerard de Melo
FaML
121
208
0
03 Jun 2020
Evaluations and Methods for Explanation through Robustness Analysis
Evaluations and Methods for Explanation through Robustness Analysis
Cheng-Yu Hsieh
Chih-Kuan Yeh
Xuanqing Liu
Pradeep Ravikumar
Seungyeon Kim
Sanjiv Kumar
Cho-Jui Hsieh
XAI
70
58
0
31 May 2020
Language (Technology) is Power: A Critical Survey of "Bias" in NLP
Language (Technology) is Power: A Critical Survey of "Bias" in NLP
Su Lin Blodgett
Solon Barocas
Hal Daumé
Hanna M. Wallach
159
1,257
0
28 May 2020
Thirty Musts for Meaning Banking
Thirty Musts for Meaning Banking
Johan Bos
Lasha Abzianidze
19
12
0
27 May 2020
Give Me Convenience and Give Her Death: Who Should Decide What Uses of
  NLP are Appropriate, and on What Basis?
Give Me Convenience and Give Her Death: Who Should Decide What Uses of NLP are Appropriate, and on What Basis?
Kobi Leins
Jey Han Lau
Timothy Baldwin
FaML
70
40
0
27 May 2020
Demoting Racial Bias in Hate Speech Detection
Demoting Racial Bias in Hate Speech Detection
Mengzhou Xia
Anjalie Field
Yulia Tsvetkov
88
122
0
25 May 2020
Gender Slopes: Counterfactual Fairness for Computer Vision Models by
  Attribute Manipulation
Gender Slopes: Counterfactual Fairness for Computer Vision Models by Attribute Manipulation
Jungseock Joo
Kimmo Karkkainen
66
48
0
21 May 2020
Mitigating Gender Bias Amplification in Distribution by Posterior
  Regularization
Mitigating Gender Bias Amplification in Distribution by Posterior Regularization
Shengyu Jia
Tao Meng
Jieyu Zhao
Kai-Wei Chang
FaML
68
43
0
13 May 2020
Towards Robustifying NLI Models Against Lexical Dataset Biases
Towards Robustifying NLI Models Against Lexical Dataset Biases
Xiang Zhou
Joey Tianyi Zhou
64
58
0
10 May 2020
Demographics Should Not Be the Reason of Toxicity: Mitigating
  Discrimination in Text Classifications with Instance Weighting
Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting
Guanhua Zhang
Bing Bai
Junqi Zhang
Kun Bai
Conghui Zhu
Tiejun Zhao
91
71
0
29 Apr 2020
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets
Angelina Wang
Alexander Liu
Ryan Zhang
Anat Kleiman
Leslie Kim
Dora Zhao
Iroha Shirai
Arvind Narayanan
Olga Russakovsky
82
190
0
16 Apr 2020
Shortcut Learning in Deep Neural Networks
Shortcut Learning in Deep Neural Networks
Robert Geirhos
J. Jacobsen
Claudio Michaelis
R. Zemel
Wieland Brendel
Matthias Bethge
Felix Wichmann
227
2,066
0
16 Apr 2020
Bias in Multimodal AI: Testbed for Fair Automatic Recruitment
Bias in Multimodal AI: Testbed for Fair Automatic Recruitment
Alejandro Peña
Ignacio Serna
Aythami Morales
Julian Fierrez
61
58
0
15 Apr 2020
Reducing Gender Bias in Neural Machine Translation as a Domain
  Adaptation Problem
Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem
Danielle Saunders
Bill Byrne
AI4CE
143
140
0
09 Apr 2020
Unshuffling Data for Improved Generalization
Unshuffling Data for Improved Generalization
Damien Teney
Ehsan Abbasnejad
Anton Van Den Hengel
OOD
77
78
0
27 Feb 2020
Multilingual Twitter Corpus and Baselines for Evaluating Demographic
  Bias in Hate Speech Recognition
Multilingual Twitter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech Recognition
Xiaolei Huang
Linzi Xing
Franck Dernoncourt
Michael J. Paul
84
90
0
24 Feb 2020
Algorithmic Fairness
Algorithmic Fairness
Dana Pessach
E. Shmueli
FaML
89
395
0
21 Jan 2020
CheXplain: Enabling Physicians to Explore and UnderstandData-Driven,
  AI-Enabled Medical Imaging Analysis
CheXplain: Enabling Physicians to Explore and UnderstandData-Driven, AI-Enabled Medical Imaging Analysis
Yao Xie
Melody Chen
David Kao
Ge Gao
Xiang Ánthony' Chen
130
130
0
15 Jan 2020
Don't Judge an Object by Its Context: Learning to Overcome Contextual
  Bias
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias
Krishna Kumar Singh
D. Mahajan
Kristen Grauman
Yong Jae Lee
Matt Feiszli
Deepti Ghadiyaram
67
109
0
09 Jan 2020
Revealing Neural Network Bias to Non-Experts Through Interactive
  Counterfactual Examples
Revealing Neural Network Bias to Non-Experts Through Interactive Counterfactual Examples
Chelsea M. Myers
Evan Freed
Luis Fernando Laris Pardo
Anushay Furqan
S. Risi
Jichen Zhu
CML
88
13
0
07 Jan 2020
Towards Fairer Datasets: Filtering and Balancing the Distribution of the
  People Subtree in the ImageNet Hierarchy
Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy
Kaiyu Yang
Klint Qinami
Li Fei-Fei
Jia Deng
Olga Russakovsky
132
324
0
16 Dec 2019
Exposing and Correcting the Gender Bias in Image Captioning Datasets and
  Models
Exposing and Correcting the Gender Bias in Image Captioning Datasets and Models
Shruti Bhargava
David A. Forsyth
FaML
73
50
0
02 Dec 2019
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
93
365
0
26 Nov 2019
Automatically Neutralizing Subjective Bias in Text
Automatically Neutralizing Subjective Bias in Text
Reid Pryzant
Richard Diehl Martinez
Nathan Dass
Sadao Kurohashi
Dan Jurafsky
Diyi Yang
91
179
0
21 Nov 2019
Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation
Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation
Emily Dinan
Angela Fan
Adina Williams
Jack Urbanek
Douwe Kiela
Jason Weston
121
208
0
10 Nov 2019
Predictive Biases in Natural Language Processing Models: A Conceptual
  Framework and Overview
Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview
Deven Santosh Shah
H. Andrew Schwartz
Dirk Hovy
AI4CE
120
261
0
09 Nov 2019
Towards Understanding Gender Bias in Relation Extraction
Towards Understanding Gender Bias in Relation Extraction
Andrew Gaut
Tony Sun
Shirlyn Tang
Yuxin Huang
Jing Qian
...
Jieyu Zhao
Diba Mirza
E. Belding
Kai-Wei Chang
William Yang Wang
FaML
92
41
0
09 Nov 2019
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