ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2209.09592
  4. Cited By
Closing the Gender Wage Gap: Adversarial Fairness in Job Recommendation

Closing the Gender Wage Gap: Adversarial Fairness in Job Recommendation

20 September 2022
Clara Rus
Jeffrey Luppes
Harrie Oosterhuis
Gido Schoenmacker
    FaML
ArXivPDFHTML

Papers citing "Closing the Gender Wage Gap: Adversarial Fairness in Job Recommendation"

4 / 4 papers shown
Title
Measuring Bias in a Ranked List using Term-based Representations
Measuring Bias in a Ranked List using Term-based Representations
Amin Abolghasemi
Leif Azzopardi
Arian Askari
Maarten de Rijke
Suzan Verberne
32
6
0
09 Mar 2024
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
294
4,187
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
213
669
0
17 Feb 2018
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
228
31,150
0
16 Jan 2013
1