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Attributing Fair Decisions with Attention Interventions

Attributing Fair Decisions with Attention Interventions

8 September 2021
Ninareh Mehrabi
Umang Gupta
Fred Morstatter
Greg Ver Steeg
Aram Galstyan
ArXivPDFHTML

Papers citing "Attributing Fair Decisions with Attention Interventions"

10 / 10 papers shown
Title
General Post-Processing Framework for Fairness Adjustment of Machine Learning Models
General Post-Processing Framework for Fairness Adjustment of Machine Learning Models
Léandre Eberhard
Nirek Sharma
Filipp Shelobolin
Aalok Ganesh Shanbhag
FaML
50
0
0
22 Apr 2025
Bridging Fairness Gaps: A (Conditional) Distance Covariance Perspective
  in Fairness Learning
Bridging Fairness Gaps: A (Conditional) Distance Covariance Perspective in Fairness Learning
Ruifan Huang
Haixia Liu
FedML
FaML
64
0
0
01 Dec 2024
A Canonical Data Transformation for Achieving Inter- and Within-group
  Fairness
A Canonical Data Transformation for Achieving Inter- and Within-group Fairness
Zachary McBride Lazri
Ivan Brugere
Xin Tian
Dana Dachman-Soled
Antigoni Polychroniadou
Danial Dervovic
Min Wu
13
0
0
23 Oct 2023
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
33
159
0
14 Jul 2022
Fairness in Recommendation: Foundations, Methods and Applications
Fairness in Recommendation: Foundations, Methods and Applications
Yunqi Li
H. Chen
Shuyuan Xu
Yingqiang Ge
Juntao Tan
Shuchang Liu
Yongfeng Zhang
FaML
OffRL
105
41
0
26 May 2022
CertiFair: A Framework for Certified Global Fairness of Neural Networks
CertiFair: A Framework for Certified Global Fairness of Neural Networks
Haitham Khedr
Yasser Shoukry
FedML
18
19
0
20 May 2022
Robust Conversational Agents against Imperceptible Toxicity Triggers
Robust Conversational Agents against Imperceptible Toxicity Triggers
Ninareh Mehrabi
Ahmad Beirami
Fred Morstatter
Aram Galstyan
AAML
18
32
0
05 May 2022
Distraction is All You Need for Fairness
Distraction is All You Need for Fairness
Mehdi Yazdani-Jahromi
Amirarsalan Rajabi
Ali Khodabandeh Yalabadi
Aida Tayebi
O. Garibay
13
2
0
15 Mar 2022
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
323
4,203
0
23 Aug 2019
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
233
673
0
17 Feb 2018
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