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1607.06520
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Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
21 July 2016
Tolga Bolukbasi
Kai-Wei Chang
James Zou
Venkatesh Saligrama
Adam Kalai
CVBM
FaML
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Papers citing
"Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings"
50 / 778 papers shown
Title
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64
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08 Feb 2019
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Sorelle A. Friedler
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Suresh Venkatasubramanian
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Maria De-Arteaga
Alexey Romanov
Hanna M. Wallach
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S. Geyik
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Adam Tauman Kalai
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0
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Pranjal Awasthi
Jamie Morgenstern
113
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0
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Attenuating Bias in Word Vectors
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J. M. Phillips
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151
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Identifying and Correcting Label Bias in Machine Learning
Heinrich Jiang
Ofir Nachum
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104
285
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15 Jan 2019
Equalizing Gender Biases in Neural Machine Translation with Word Embeddings Techniques
Joel Escudé Font
Marta R. Costa-jussá
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Feature-Wise Bias Amplification
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Emily Black
Matt Fredrikson
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What are the biases in my word embedding?
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Maria De-Arteaga
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Hanna M. Wallach
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0
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19
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Jitendra Malik
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Measuring Depression Symptom Severity from Spoken Language and 3D Facial Expressions
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Li Fei-Fei
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Explicit Bias Discovery in Visual Question Answering Models
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Bayesian Modeling of Intersectional Fairness: The Variance of Bias
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S. Whittaker
34
6
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Crowdsourcing with Fairness, Diversity and Budget Constraints
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Boi Faltings
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87
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0
31 Oct 2018
The Frontiers of Fairness in Machine Learning
Alexandra Chouldechova
Aaron Roth
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205
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T. Evans
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Rosie Prior
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Systematic Biases in Link Prediction: comparing heuristic and graph embedding based methods
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Rémy Cazabet
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Eduard H. Hovy
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63
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Pedro H. C. Avelar
Luís C. Lamb
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Learning Gender-Neutral Word Embeddings
Jieyu Zhao
Yichao Zhou
Zeyu Li
Wei Wang
Kai-Wei Chang
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140
417
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29 Aug 2018
Reducing Gender Bias in Abusive Language Detection
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Jamin Shin
Pascale Fung
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113
341
0
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Adversarial Removal of Demographic Attributes from Text Data
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Yoav Goldberg
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117
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Gender Bias in Neural Natural Language Processing
Kaiji Lu
Piotr (Peter) Mardziel
Fangjing Wu
Preetam Amancharla
Anupam Datta
121
362
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An Intersectional Definition of Fairness
James R. Foulds
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Joydeep Ghosh
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75
40
0
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Biased Embeddings from Wild Data: Measuring, Understanding and Removing
Adam Sutton
Thomas Lansdall-Welfare
N. Cristianini
63
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B. Kulynych
R. Overdorf
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Importance Weighted Generative Networks
M. Diesendruck
Ethan R. Elenberg
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G. W. Cole
Sanjay Shakkottai
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Causal Interventions for Fairness
Matt J. Kusner
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Joshua R. Loftus
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133
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FairGAN: Fairness-aware Generative Adversarial Networks
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Shuhan Yuan
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Neural language representations predict outcomes of scientific research
James P. Bagrow
Daniel Berenberg
Josh Bongard
27
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Causal Reasoning for Algorithmic Fairness
Joshua R. Loftus
Chris Russell
Matt J. Kusner
Ricardo M. A. Silva
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86
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Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems
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Saif M. Mohammad
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Behavior Analysis of NLI Models: Uncovering the Influence of Three Factors on Robustness
V. Carmona
Jeff Mitchell
Sebastian Riedel
86
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Gender Bias in Coreference Resolution
Rachel Rudinger
Jason Naradowsky
Brian Leonard
Benjamin Van Durme
120
646
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Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods
Jieyu Zhao
Tianlu Wang
Mark Yatskar
Vicente Ordonez
Kai-Wei Chang
141
946
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Generating Clues for Gender based Occupation De-biasing in Text
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Gautam Singh
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Aditya Chetan
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0
11 Apr 2018
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