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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"

19 / 269 papers shown
Title
Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep
  Neural Network Embeddings
Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings
Mohsan S. Alvi
Andrew Zisserman
C. Nellåker
FaML
138
248
0
06 Sep 2018
Learning Gender-Neutral Word Embeddings
Learning Gender-Neutral Word Embeddings
Jieyu Zhao
Yichao Zhou
Zeyu Li
Wei Wang
Kai-Wei Chang
FaML
112
417
0
29 Aug 2018
Webly Supervised Joint Embedding for Cross-Modal Image-Text Retrieval
Webly Supervised Joint Embedding for Cross-Modal Image-Text Retrieval
Niluthpol Chowdhury Mithun
Yikang Shen
Evangelos E. Papalexakis
Amit K. Roy-Chowdhury
67
77
0
23 Aug 2018
Adversarial Removal of Demographic Attributes from Text Data
Adversarial Removal of Demographic Attributes from Text Data
Yanai Elazar
Yoav Goldberg
FaML
115
309
0
20 Aug 2018
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense
  Inference
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference
Rowan Zellers
Yonatan Bisk
Roy Schwartz
Yejin Choi
124
719
0
16 Aug 2018
An Intersectional Definition of Fairness
An Intersectional Definition of Fairness
James R. Foulds
Rashidul Islam
Kamrun Naher Keya
Shimei Pan
FaML
75
191
0
22 Jul 2018
Women also Snowboard: Overcoming Bias in Captioning Models (Extended
  Abstract)
Women also Snowboard: Overcoming Bias in Captioning Models (Extended Abstract)
Lisa Anne Hendricks
Kaylee Burns
Kate Saenko
Trevor Darrell
Anna Rohrbach
139
480
0
02 Jul 2018
Right for the Right Reason: Training Agnostic Networks
Right for the Right Reason: Training Agnostic Networks
Sen Jia
Thomas Lansdall-Welfare
N. Cristianini
FaML
55
26
0
16 Jun 2018
Importance Weighted Generative Networks
Importance Weighted Generative Networks
M. Diesendruck
Ethan R. Elenberg
Rajat Sen
G. W. Cole
Sanjay Shakkottai
Sinead Williamson
GAN
83
16
0
07 Jun 2018
On Robust Trimming of Bayesian Network Classifiers
On Robust Trimming of Bayesian Network Classifiers
YooJung Choi
Guy Van den Broeck
45
9
0
29 May 2018
Towards Robust and Privacy-preserving Text Representations
Towards Robust and Privacy-preserving Text Representations
Yitong Li
Timothy Baldwin
Trevor Cohn
80
167
0
16 May 2018
Behavior Analysis of NLI Models: Uncovering the Influence of Three
  Factors on Robustness
Behavior Analysis of NLI Models: Uncovering the Influence of Three Factors on Robustness
V. Carmona
Jeff Mitchell
Sebastian Riedel
83
44
0
11 May 2018
Gender Bias in Coreference Resolution
Gender Bias in Coreference Resolution
Rachel Rudinger
Jason Naradowsky
Brian Leonard
Benjamin Van Durme
78
646
0
25 Apr 2018
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods
Jieyu Zhao
Tianlu Wang
Mark Yatskar
Vicente Ordonez
Kai-Wei Chang
139
946
0
18 Apr 2018
Generating Clues for Gender based Occupation De-biasing in Text
Generating Clues for Gender based Occupation De-biasing in Text
Nishtha Madaan
Gautam Singh
S. Mehta
Aditya Chetan
Brihi Joshi
AI4CE
42
4
0
11 Apr 2018
Generating Contradictory, Neutral, and Entailing Sentences
Generating Contradictory, Neutral, and Entailing Sentences
Songlin Yang
Shawn Tan
Chin-Wei Huang
Aaron Courville
28
3
0
07 Mar 2018
Exploring Stereotypes and Biased Data with the Crowd
Exploring Stereotypes and Biased Data with the Crowd
Zeyuan Hu
Julia Strout
HAI
46
5
0
10 Jan 2018
Always Lurking: Understanding and Mitigating Bias in Online Human
  Trafficking Detection
Always Lurking: Understanding and Mitigating Bias in Online Human Trafficking Detection
K. Hundman
Thamme Gowda
Mayank Kejriwal
Benedikt Boecking
56
21
0
03 Dec 2017
Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes
Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes
Nikhil Garg
L. Schiebinger
Dan Jurafsky
James Zou
AI4TS
90
970
0
22 Nov 2017
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