ResearchTrend.AI
A Systematic Study of Bias Amplification

A Systematic Study of Bias Amplification

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
36
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
34
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
22
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
28
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
30
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