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Unequal Representations: Analyzing Intersectional Biases in Word
  Embeddings Using Representational Similarity Analysis

Unequal Representations: Analyzing Intersectional Biases in Word Embeddings Using Representational Similarity Analysis

24 November 2020
Michael A. Lepori
ArXivPDFHTML

Papers citing "Unequal Representations: Analyzing Intersectional Biases in Word Embeddings Using Representational Similarity Analysis"

5 / 5 papers shown
Title
MIST: Mitigating Intersectional Bias with Disentangled Cross-Attention
  Editing in Text-to-Image Diffusion Models
MIST: Mitigating Intersectional Bias with Disentangled Cross-Attention Editing in Text-to-Image Diffusion Models
Hidir Yesiltepe
Kiymet Akdemir
Pinar Yanardag
29
3
0
28 Mar 2024
Debiasing Word Embeddings with Nonlinear Geometry
Debiasing Word Embeddings with Nonlinear Geometry
Lu Cheng
Nayoung Kim
Huan Liu
16
5
0
29 Aug 2022
A Novel Approach to Fairness in Automated Decision-Making using
  Affective Normalization
A Novel Approach to Fairness in Automated Decision-Making using Affective Normalization
Jesse Hoey
G. Chan
14
1
0
02 May 2022
A Survey of Race, Racism, and Anti-Racism in NLP
A Survey of Race, Racism, and Anti-Racism in NLP
Anjalie Field
Su Lin Blodgett
Zeerak Talat
Yulia Tsvetkov
23
122
0
21 Jun 2021
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
296
4,203
0
23 Aug 2019
1