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A Systematic Study of Bias Amplification

A Systematic Study of Bias Amplification

27 January 2022
Melissa Hall
L. V. D. van der Maaten
Laura Gustafson
Maxwell Jones
Aaron B. Adcock
ArXivPDFHTML

Papers citing "A Systematic Study of Bias Amplification"

11 / 11 papers shown
Title
Native Design Bias: Studying the Impact of English Nativeness on
  Language Model Performance
Native Design Bias: Studying the Impact of English Nativeness on Language Model Performance
Manon Reusens
Philipp Borchert
Jochen De Weerdt
Bart Baesens
34
0
0
25 Jun 2024
Addressing Discretization-Induced Bias in Demographic Prediction
Addressing Discretization-Induced Bias in Demographic Prediction
Evan Dong
Aaron Schein
Yixin Wang
Nikhil Garg
32
3
0
27 May 2024
Fairness Without Demographics in Human-Centered Federated Learning
Fairness Without Demographics in Human-Centered Federated Learning
Shaily Roy
Harshit Sharma
Asif Salekin
48
2
0
30 Apr 2024
Evaluating Bias and Fairness in Gender-Neutral Pretrained
  Vision-and-Language Models
Evaluating Bias and Fairness in Gender-Neutral Pretrained Vision-and-Language Models
Laura Cabello
Emanuele Bugliarello
Stephanie Brandl
Desmond Elliott
23
7
0
26 Oct 2023
Implicit Visual Bias Mitigation by Posterior Estimate Sharpening of a Bayesian Neural Network
Rebecca S Stone
Nishant Ravikumar
A. Bulpitt
David C. Hogg
BDL
36
0
0
29 Mar 2023
NASDM: Nuclei-Aware Semantic Histopathology Image Generation Using
  Diffusion Models
NASDM: Nuclei-Aware Semantic Histopathology Image Generation Using Diffusion Models
A. Shrivastava
P. T. Fletcher
DiffM
MedIm
19
21
0
20 Mar 2023
Bias mitigation techniques in image classification: fair machine
  learning in human heritage collections
Bias mitigation techniques in image classification: fair machine learning in human heritage collections
Dalia Ortiz Pablo
Sushruth Badri
Erik Norén
Christoph Nötzli
33
1
0
20 Mar 2023
A Comparative Analysis of Bias Amplification in Graph Neural Network
  Approaches for Recommender Systems
A Comparative Analysis of Bias Amplification in Graph Neural Network Approaches for Recommender Systems
Nikzad Chizari
Niloufar Shoeibi
María N. Moreno-García
26
13
0
18 Jan 2023
Men Also Do Laundry: Multi-Attribute Bias Amplification
Men Also Do Laundry: Multi-Attribute Bias Amplification
Dora Zhao
Jerone T. A. Andrews
Alice Xiang
FaML
28
20
0
21 Oct 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
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
207
2,082
0
24 Oct 2016
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