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. 2409.19940
  4. Cited By
Positive-Sum Fairness: Leveraging Demographic Attributes to Achieve Fair
  AI Outcomes Without Sacrificing Group Gains

Positive-Sum Fairness: Leveraging Demographic Attributes to Achieve Fair AI Outcomes Without Sacrificing Group Gains

30 September 2024
Samia Belhadj
Sanguk Park
Ambika Seth
Hesham Dar
Thijs Kooi
ArXivPDFHTML

Papers citing "Positive-Sum Fairness: Leveraging Demographic Attributes to Achieve Fair AI Outcomes Without Sacrificing Group Gains"

1 / 1 papers shown
Title
Fairness of Deep Ensembles: On the interplay between per-group task difficulty and under-representation
Fairness of Deep Ensembles: On the interplay between per-group task difficulty and under-representation
Estanislao Claucich
Sara Hooker
Diego H. Milone
Enzo Ferrante
Rodrigo Echeveste
FedML
44
0
0
24 Jan 2025
1