Learning Fair Representation via Distributional Contrastive Disentanglement

17 June 2022

Papers citing "Learning Fair Representation via Distributional Contrastive Disentanglement"

5 / 5 papers shown

Title
Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics Insung Kong Kunwoong Kim Yongdai Kim FaML 20 1 0 09 May 2025
Addressing Bias in Generative AI: Challenges and Research Opportunities in Information Management Xiahua Wei Naveen Kumar Han Zhang 61 3 0 22 Jan 2025
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement Wenjing Chang Kay Liu Philip S. Yu Jianjun Yu 55 2 0 03 Jun 2024
A Survey on Fairness in Large Language Models Yingji Li Mengnan Du Rui Song Xin Wang Ying Wang ALM 37 59 0 20 Aug 2023
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 210 669 0 17 Feb 2018