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Using Adversarial Debiasing to Remove Bias from Word Embeddings

Using Adversarial Debiasing to Remove Bias from Word Embeddings

21 July 2021
Dana Kenna
    FaML
ArXivPDFHTML

Papers citing "Using Adversarial Debiasing to Remove Bias from Word Embeddings"

3 / 3 papers shown
Title
Adversarial Learned Fair Representations using Dampening and Stacking
Adversarial Learned Fair Representations using Dampening and Stacking
M. Knobbout
FaML
8
1
0
16 Mar 2022
Developing a novel fair-loan-predictor through a multi-sensitive
  debiasing pipeline: DualFair
Developing a novel fair-loan-predictor through a multi-sensitive debiasing pipeline: DualFair
Ashutosh Kumar Singh
Jashandeep Singh
Ariba Khan
Amar Gupta
FaML
14
3
0
17 Oct 2021
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
239
31,253
0
16 Jan 2013
1