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A Survey on Bias and Fairness in Machine Learning

A Survey on Bias and Fairness in Machine Learning

23 August 2019
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
    SyDa
    FaML
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Papers citing "A Survey on Bias and Fairness in Machine Learning"

50 / 1,614 papers shown
Title
Mimetic Models: Ethical Implications of AI that Acts Like You
Mimetic Models: Ethical Implications of AI that Acts Like You
Reid McIlroy-Young
Jon M. Kleinberg
S. Sen
Solon Barocas
Ashton Anderson
18
16
0
19 Jul 2022
When Fairness Meets Privacy: Fair Classification with Semi-Private
  Sensitive Attributes
When Fairness Meets Privacy: Fair Classification with Semi-Private Sensitive Attributes
Canyu Chen
Yueqing Liang
Xiongxiao Xu
Shangyu Xie
A. Kundu
Ali Payani
Yuan Hong
Kai Shu
24
6
0
18 Jul 2022
Data Representativeness in Accessibility Datasets: A Meta-Analysis
Data Representativeness in Accessibility Datasets: A Meta-Analysis
Rie Kamikubo
Lining Wang
Crystal Marte
Amnah Mahmood
Hernisa Kacorri
38
18
0
16 Jul 2022
Reducing Geographic Disparities in Automatic Speech Recognition via
  Elastic Weight Consolidation
Reducing Geographic Disparities in Automatic Speech Recognition via Elastic Weight Consolidation
V. Trinh
Pegah Ghahremani
Brian King
J. Droppo
A. Stolcke
Roland Maas
MoMe
19
5
0
16 Jul 2022
Adversarial Reweighting for Speaker Verification Fairness
Adversarial Reweighting for Speaker Verification Fairness
Minho Jin
Chelsea J.-T. Ju
Zeya Chen
Yi-Chieh Liu
J. Droppo
A. Stolcke
24
4
0
15 Jul 2022
Modeling Quality and Machine Learning Pipelines through Extended Feature
  Models
Modeling Quality and Machine Learning Pipelines through Extended Feature Models
Giordano dÁloisio
A. Marco
Giovanni Stilo
23
7
0
15 Jul 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
Max Hort
Zhenpeng Chen
Jie M. Zhang
Mark Harman
Federica Sarro
FaML
AI4CE
38
162
0
14 Jul 2022
Understanding Unfairness in Fraud Detection through Model and Data Bias
  Interactions
Understanding Unfairness in Fraud Detection through Model and Data Bias Interactions
José P. Pombal
André F. Cruz
Joao Bravo
Pedro Saleiro
Mário A. T. Figueiredo
P. Bizarro
FaML
13
8
0
13 Jul 2022
RepFair-GAN: Mitigating Representation Bias in GANs Using Gradient
  Clipping
RepFair-GAN: Mitigating Representation Bias in GANs Using Gradient Clipping
Patrik Kenfack
Kamil Sabbagh
Adín Ramirez Rivera
A. Khan
19
12
0
13 Jul 2022
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among
  Complexity, Leakage, and Utility
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility
Behrooz Razeghi
Flavio du Pin Calmon
Deniz Gunduz
Slava Voloshynovskiy
29
15
0
11 Jul 2022
How Robust is your Fair Model? Exploring the Robustness of Diverse
  Fairness Strategies
How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies
E. Small
Wei Shao
Zeliang Zhang
Peihan Liu
Jeffrey Chan
Kacper Sokol
Flora D. Salim
65
2
0
11 Jul 2022
Probing Classifiers are Unreliable for Concept Removal and Detection
Probing Classifiers are Unreliable for Concept Removal and Detection
Abhinav Kumar
Chenhao Tan
Amit Sharma
AAML
34
21
0
08 Jul 2022
An Approach to Ensure Fairness in News Articles
An Approach to Ensure Fairness in News Articles
Shaina Raza
Deepak John Reji
Dora D. Liu
Syed Raza Bashir
Usman Naseem
FaML
26
1
0
08 Jul 2022
Fairness and Bias in Robot Learning
Fairness and Bias in Robot Learning
Laura Londoño
Juana Valeria Hurtado
Nora Hertz
P. Kellmeyer
S. Voeneky
Abhinav Valada
FaML
23
9
0
07 Jul 2022
Enhancing Fairness of Visual Attribute Predictors
Enhancing Fairness of Visual Attribute Predictors
Tobias Hanel
Nishant Kumar
D. Schlesinger
Meng Li
Erdem Unal
Abouzar Eslami
Stefan Gumhold
27
2
0
07 Jul 2022
A Comprehensive Empirical Study of Bias Mitigation Methods for Machine
  Learning Classifiers
A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers
Zhenpeng Chen
Jie M. Zhang
Federica Sarro
Mark Harman
FaML
24
67
0
07 Jul 2022
Towards trustworthy Energy Disaggregation: A review of challenges,
  methods and perspectives for Non-Intrusive Load Monitoring
Towards trustworthy Energy Disaggregation: A review of challenges, methods and perspectives for Non-Intrusive Load Monitoring
Maria Kaselimi
Eftychios E. Protopapadakis
A. Voulodimos
N. Doulamis
Anastasios Doulamis
24
64
0
05 Jul 2022
Machine Learning in Access Control: A Taxonomy and Survey
Machine Learning in Access Control: A Taxonomy and Survey
M. N. Nobi
Maanak Gupta
Lopamudra Praharaj
Mahmoud Abdelsalam
R. Krishnan
Ravi Sandhu
OOD
14
6
0
04 Jul 2022
Divert More Attention to Vision-Language Tracking
Divert More Attention to Vision-Language Tracking
Mingzhe Guo
Zhipeng Zhang
Heng Fan
Li Jing
34
53
0
03 Jul 2022
UserLibri: A Dataset for ASR Personalization Using Only Text
UserLibri: A Dataset for ASR Personalization Using Only Text
Theresa Breiner
Swaroop Indra Ramaswamy
Ehsan Variani
Shefali Garg
Rajiv Mathews
K. Sim
Kilol Gupta
Mingqing Chen
Lara McConnaughey
35
16
0
02 Jul 2022
A Theoretical Analysis of the Learning Dynamics under Class Imbalance
A Theoretical Analysis of the Learning Dynamics under Class Imbalance
Emanuele Francazi
Marco Baity-Jesi
Aurelien Lucchi
30
16
0
01 Jul 2022
The (de)biasing effect of GAN-based augmentation methods on skin lesion
  images
The (de)biasing effect of GAN-based augmentation methods on skin lesion images
Agnieszka Mikołajczyk
Sylwia Majchrowska
Sandra Carrasco Limeros
MedIm
35
20
0
30 Jun 2022
esCorpius: A Massive Spanish Crawling Corpus
esCorpius: A Massive Spanish Crawling Corpus
Asier Gutiérrez-Fandiño
David Pérez-Fernández
Jordi Armengol-Estapé
D. Griol
Z. Callejas
51
2
0
30 Jun 2022
Personalized Detection of Cognitive Biases in Actions of Users from
  Their Logs: Anchoring and Recency Biases
Personalized Detection of Cognitive Biases in Actions of Users from Their Logs: Anchoring and Recency Biases
Atanu R. Sinha
Navita Goyal
Sunny Dhamnani
Tanay Asija
Raja K Dubey
M. V. K. Raja
Georgios Theocharous
24
2
0
30 Jun 2022
Fairness and Cost Constrained Privacy-Aware Record Linkage
Fairness and Cost Constrained Privacy-Aware Record Linkage
Nan Wu
Dinusha Vatsalan
Sunny Verma
M. Kâafar
33
5
0
30 Jun 2022
Distilling Model Failures as Directions in Latent Space
Distilling Model Failures as Directions in Latent Space
Saachi Jain
Hannah Lawrence
Ankur Moitra
Aleksander Madry
23
90
0
29 Jun 2022
Fair Machine Learning in Healthcare: A Review
Fair Machine Learning in Healthcare: A Review
Qizhang Feng
Mengnan Du
Na Zou
Xia Hu
FaML
38
0
0
29 Jun 2022
Prisoners of Their Own Devices: How Models Induce Data Bias in
  Performative Prediction
Prisoners of Their Own Devices: How Models Induce Data Bias in Performative Prediction
José P. Pombal
Pedro Saleiro
Mário A. T. Figueiredo
P. Bizarro
31
4
0
27 Jun 2022
Transferring Fairness under Distribution Shifts via Fair Consistency
  Regularization
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization
Bang An
Zora Che
Mucong Ding
Furong Huang
24
31
0
26 Jun 2022
Visual Auditor: Interactive Visualization for Detection and
  Summarization of Model Biases
Visual Auditor: Interactive Visualization for Detection and Summarization of Model Biases
David Munechika
Zijie J. Wang
Jack Reidy
Josh Rubin
Krishna Gade
K. Kenthapadi
Duen Horng Chau
MLAU
31
18
0
25 Jun 2022
"You Can't Fix What You Can't Measure": Privately Measuring Demographic
  Performance Disparities in Federated Learning
"You Can't Fix What You Can't Measure": Privately Measuring Demographic Performance Disparities in Federated Learning
Marc Juárez
Aleksandra Korolova
FedML
32
9
0
24 Jun 2022
On Structural Explanation of Bias in Graph Neural Networks
On Structural Explanation of Bias in Graph Neural Networks
Yushun Dong
Song Wang
Yu-Chiang Frank Wang
Tyler Derr
Jundong Li
42
23
0
24 Jun 2022
Never trust, always verify : a roadmap for Trustworthy AI?
Never trust, always verify : a roadmap for Trustworthy AI?
L. Tidjon
Foutse Khomh
46
15
0
23 Jun 2022
Context matters for fairness -- a case study on the effect of spatial
  distribution shifts
Context matters for fairness -- a case study on the effect of spatial distribution shifts
Siamak Ghodsi
Harith Alani
Eirini Ntoutsi
30
2
0
23 Jun 2022
Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing
Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing
Jiayin Jin
Zeru Zhang
Yang Zhou
Lingfei Wu
30
13
0
22 Jun 2022
FairGrad: Fairness Aware Gradient Descent
FairGrad: Fairness Aware Gradient Descent
Gaurav Maheshwari
Michaël Perrot
FaML
44
11
0
22 Jun 2022
The Right Tool for the Job: Open-Source Auditing Tools in Machine
  Learning
The Right Tool for the Job: Open-Source Auditing Tools in Machine Learning
Cherie Poland
SyDa
35
5
0
20 Jun 2022
Stop ordering machine learning algorithms by their explainability! A
  user-centered investigation of performance and explainability
Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability
L. Herm
Kai Heinrich
Jonas Wanner
Christian Janiesch
19
84
0
20 Jun 2022
Towards Trustworthy Edge Intelligence: Insights from Voice-Activated
  Services
Towards Trustworthy Edge Intelligence: Insights from Voice-Activated Services
W. Hutiri
Aaron Yi Ding
30
4
0
20 Jun 2022
Explainability's Gain is Optimality's Loss? -- How Explanations Bias
  Decision-making
Explainability's Gain is Optimality's Loss? -- How Explanations Bias Decision-making
Charley L. Wan
Rodrigo Belo
Leid Zejnilovic
FAtt
FaML
22
5
0
17 Jun 2022
Learning to Teach Fairness-aware Deep Multi-task Learning
Learning to Teach Fairness-aware Deep Multi-task Learning
Arjun Roy
Eirini Ntoutsi
33
7
0
16 Jun 2022
Characteristics of Harmful Text: Towards Rigorous Benchmarking of
  Language Models
Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models
Maribeth Rauh
John F. J. Mellor
J. Uesato
Po-Sen Huang
Johannes Welbl
...
Amelia Glaese
G. Irving
Iason Gabriel
William S. Isaac
Lisa Anne Hendricks
38
49
0
16 Jun 2022
Disparate Impact in Differential Privacy from Gradient Misalignment
Disparate Impact in Differential Privacy from Gradient Misalignment
Maria S. Esipova
Atiyeh Ashari Ghomi
Yaqiao Luo
Jesse C. Cresswell
29
25
0
15 Jun 2022
Multi-Objective Hyperparameter Optimization in Machine Learning -- An
  Overview
Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview
Florian Karl
Tobias Pielok
Julia Moosbauer
Florian Pfisterer
Stefan Coors
...
Jakob Richter
Michel Lang
Eduardo C. Garrido-Merchán
Juergen Branke
B. Bischl
AI4CE
31
57
0
15 Jun 2022
Edge Security: Challenges and Issues
Edge Security: Challenges and Issues
Xin Jin
Charalampos Katsis
Fan Sang
Jiahao Sun
A. Kundu
Ramana Rao Kompella
52
8
0
14 Jun 2022
It's Time for Artistic Correspondence in Music and Video
It's Time for Artistic Correspondence in Music and Video
Dídac Surís
Carl Vondrick
Bryan C. Russell
Justin Salamon
23
37
0
14 Jun 2022
Prioritized Training on Points that are Learnable, Worth Learning, and
  Not Yet Learnt
Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt
Sören Mindermann
J. Brauner
Muhammed Razzak
Mrinank Sharma
Andreas Kirsch
...
Benedikt Höltgen
Aidan Gomez
Adrien Morisot
Sebastian Farquhar
Y. Gal
67
152
0
14 Jun 2022
Minorities in networks and algorithms
Minorities in networks and algorithms
F. Karimi
Marcos Oliveira
M. Strohmaier
13
6
0
14 Jun 2022
ABCinML: Anticipatory Bias Correction in Machine Learning Applications
ABCinML: Anticipatory Bias Correction in Machine Learning Applications
Abdulaziz A. Almuzaini
C. Bhatt
David M. Pennock
V. Singh
FaML
30
10
0
14 Jun 2022
A Machine Learning Model for Predicting, Diagnosing, and Mitigating
  Health Disparities in Hospital Readmission
A Machine Learning Model for Predicting, Diagnosing, and Mitigating Health Disparities in Hospital Readmission
Shaina Raza
32
14
0
13 Jun 2022
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