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A Note on Bias to Complete

A Note on Bias to Complete

18 February 2024
Jia Xu
Mona Diab
ArXivPDFHTML

Papers citing "A Note on Bias to Complete"

16 / 16 papers shown
Title
Debiasing Masks: A New Framework for Shortcut Mitigation in NLU
Debiasing Masks: A New Framework for Shortcut Mitigation in NLU
Johannes Mario Meissner
Saku Sugawara
Akiko Aizawa
AAML
21
16
0
28 Oct 2022
On-Demand Sampling: Learning Optimally from Multiple Distributions
On-Demand Sampling: Learning Optimally from Multiple Distributions
Nika Haghtalab
Michael I. Jordan
Eric Zhao
FedML
32
34
0
22 Oct 2022
Neural Media Bias Detection Using Distant Supervision With BABE -- Bias
  Annotations By Experts
Neural Media Bias Detection Using Distant Supervision With BABE -- Bias Annotations By Experts
Timo Spinde
Manuel Plank
Jan-David Krieger
Terry Ruas
Bela Gipp
Akiko Aizawa
20
67
0
29 Sep 2022
Bias at a Second Glance: A Deep Dive into Bias for German Educational
  Peer-Review Data Modeling
Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling
Thiemo Wambsganss
Vinitra Swamy
Roman Rietsche
Tanja Kaser
34
8
0
21 Sep 2022
Enhance the Visual Representation via Discrete Adversarial Training
Enhance the Visual Representation via Discrete Adversarial Training
Xiaofeng Mao
YueFeng Chen
Ranjie Duan
Yao Zhu
Gege Qi
Shaokai Ye
Xiaodan Li
Rong Zhang
Hui Xue
29
31
0
16 Sep 2022
Random Rank: The One and Only Strategyproof and Proportionally Fair
  Randomized Facility Location Mechanism
Random Rank: The One and Only Strategyproof and Proportionally Fair Randomized Facility Location Mechanism
Haris Aziz
Alexa Lam
Mashbat Suzuki
T. Walsh
39
4
0
30 May 2022
Diagnosing failures of fairness transfer across distribution shift in
  real-world medical settings
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings
Jessica Schrouff
Natalie Harris
Oluwasanmi Koyejo
Ibrahim M. Alabdulmohsin
Eva Schnider
...
Vivek Natarajan
Alan Karthikesalingam
Katherine A. Heller
Silvia Chiappa
Alexander DÁmour
OOD
43
53
0
02 Feb 2022
Fair Wrapping for Black-box Predictions
Fair Wrapping for Black-box Predictions
Alexander Soen
Ibrahim M. Alabdulmohsin
Sanmi Koyejo
Yishay Mansour
Nyalleng Moorosi
Richard Nock
Ke Sun
Lexing Xie
FaML
28
6
0
31 Jan 2022
Can Information Flows Suggest Targets for Interventions in Neural
  Circuits?
Can Information Flows Suggest Targets for Interventions in Neural Circuits?
Praveen Venkatesh
Sanghamitra Dutta
Neil Mehta
P. Grover
AAML
19
8
0
09 Nov 2021
Unpacking the Interdependent Systems of Discrimination: Ableist Bias in
  NLP Systems through an Intersectional Lens
Unpacking the Interdependent Systems of Discrimination: Ableist Bias in NLP Systems through an Intersectional Lens
Saad Hassan
Matt Huenerfauth
Cecilia Ovesdotter Alm
21
32
0
01 Oct 2021
Evaluating Debiasing Techniques for Intersectional Biases
Evaluating Debiasing Techniques for Intersectional Biases
Shivashankar Subramanian
Xudong Han
Timothy Baldwin
Trevor Cohn
Lea Frermann
77
43
0
21 Sep 2021
Towards Automatic Bias Detection in Knowledge Graphs
Towards Automatic Bias Detection in Knowledge Graphs
Daphna Keidar
Mian Zhong
Ce Zhang
Y. Shrestha
B. Paudel
51
11
0
19 Sep 2021
Mitigating Language-Dependent Ethnic Bias in BERT
Mitigating Language-Dependent Ethnic Bias in BERT
Jaimeen Ahn
Alice H. Oh
116
90
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
X. Wang
FaML
132
95
0
12 Sep 2021
Assessing the Reliability of Word Embedding Gender Bias Measures
Assessing the Reliability of Word Embedding Gender Bias Measures
Yupei Du
Qixiang Fang
D. Nguyen
27
21
0
10 Sep 2021
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data
  and Bayesian Inference
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference
Disi Ji
Padhraic Smyth
M. Steyvers
26
43
0
19 Oct 2020
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