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Adversarial Examples Generation for Reducing Implicit Gender Bias in
  Pre-trained Models

Adversarial Examples Generation for Reducing Implicit Gender Bias in Pre-trained Models

3 October 2021
Wenqian Ye
Fei Xu
Yaojia Huang
Cassie Huang
A. Ji
ArXivPDFHTML

Papers citing "Adversarial Examples Generation for Reducing Implicit Gender Bias in Pre-trained Models"

16 / 16 papers shown
Title
An Empirical Study on Robustness to Spurious Correlations using
  Pre-trained Language Models
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models
Lifu Tu
Garima Lalwani
Spandana Gella
He He
LRM
85
186
0
14 Jul 2020
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation
Tianlu Wang
Xi Lin
Nazneen Rajani
Bryan McCann
Vicente Ordonez
Caimng Xiong
CVBM
217
57
0
03 May 2020
Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer
Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer
Jieyu Zhao
Subhabrata Mukherjee
Saghar Hosseini
Kai-Wei Chang
Ahmed Hassan Awadallah
70
89
0
02 May 2020
Adversarial Training for Large Neural Language Models
Adversarial Training for Large Neural Language Models
Xiaodong Liu
Hao Cheng
Pengcheng He
Weizhu Chen
Yu Wang
Hoifung Poon
Jianfeng Gao
AAML
73
185
0
20 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
116
140
0
09 Apr 2020
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
96
259
0
09 Nov 2019
Learning the Difference that Makes a Difference with
  Counterfactually-Augmented Data
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
Divyansh Kaushik
Eduard H. Hovy
Zachary Chase Lipton
CML
84
569
0
26 Sep 2019
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on
  Text Classification and Entailment
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment
Di Jin
Zhijing Jin
Qiufeng Wang
Peter Szolovits
SILM
AAML
172
1,077
0
27 Jul 2019
Identifying and Reducing Gender Bias in Word-Level Language Models
Identifying and Reducing Gender Bias in Word-Level Language Models
Shikha Bordia
Samuel R. Bowman
FaML
111
326
0
05 Apr 2019
On Measuring Social Biases in Sentence Encoders
On Measuring Social Biases in Sentence Encoders
Chandler May
Alex Jinpeng Wang
Shikha Bordia
Samuel R. Bowman
Rachel Rudinger
96
599
0
25 Mar 2019
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
101
718
0
16 Aug 2018
Synthetic and Natural Noise Both Break Neural Machine Translation
Synthetic and Natural Noise Both Break Neural Machine Translation
Yonatan Belinkov
Yonatan Bisk
111
740
0
06 Nov 2017
Men Also Like Shopping: Reducing Gender Bias Amplification using
  Corpus-level Constraints
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints
Jieyu Zhao
Tianlu Wang
Mark Yatskar
Vicente Ordonez
Kai-Wei Chang
FaML
90
970
0
29 Jul 2017
End-to-end Neural Coreference Resolution
End-to-end Neural Coreference Resolution
Kenton Lee
Luheng He
M. Lewis
Luke Zettlemoyer
LRM
BDL
83
894
0
21 Jul 2017
Semantics derived automatically from language corpora contain human-like
  biases
Semantics derived automatically from language corpora contain human-like biases
Aylin Caliskan
J. Bryson
Arvind Narayanan
213
2,663
0
25 Aug 2016
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word
  Embeddings
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
Tolga Bolukbasi
Kai-Wei Chang
James Zou
Venkatesh Saligrama
Adam Kalai
CVBM
FaML
105
3,133
0
21 Jul 2016
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