BriefGPT.xyz
Apr, 2023
可视化聚类中的公平性:一种新型Transformer聚类方法
Fairness in Visual Clustering: A Novel Transformer Clustering Approach
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Xuan-Bac Nguyen, Chi Nhan Duong, Marios Savvides, Kaushik Roy, Khoa Luu
TL;DR
本文提出了一种新的损失函数和注意力机制,以促进聚类模型的公平性和减少人口统计学偏差,实验结果表明该方法在多个敏感属性上提高了聚类准确性和公平性。
Abstract
Promoting
fairness
for
deep clustering models
in
unsupervised clustering
settings to reduce
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