Deep Fair Clustering via Maximizing and Minimizing Mutual Information:
Theory, Algorithm and Metric

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Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric

26 September 2022

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Papers citing "Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric"

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Title
A Survey on Deep Clustering: From the Prior Perspective Yiding Lu Haobin Li Yunfan Li Yijie Lin Xi Peng 100 7 0 28 Jun 2024
Robust Fair Clustering with Group Membership Uncertainty Sets Sharmila Duppala Juan Luque John P. Dickerson Seyed-Alireza Esmaeili FaML 95 1 0 02 Jun 2024
Utilizing Adversarial Examples for Bias Mitigation and Accuracy Enhancement Pushkar Shukla Dhruv Srikanth Lee Cohen Matthew Turk AAML 64 0 0 18 Apr 2024
From Discrete to Continuous: Deep Fair Clustering With Transferable Representations Xiang Zhang 92 0 0 24 Mar 2024
A Unified Framework for Fair Spectral Clustering With Effective Graph Learning Xiang Zhang Qiao Wang 75 3 0 23 Nov 2023
Image Clustering Conditioned on Text Criteria Sehyun Kwon Jaeseung Park Minkyu Kim Jaewoong Cho Ernest K. Ryu Kangwook Lee VLM 94 14 0 27 Oct 2023
Fairness in Visual Clustering: A Novel Transformer Clustering Approach Xuan-Bac Nguyen C. Duong Marios Savvides Kaushik Roy Hugh Churchill Khoa Luu 108 9 0 14 Apr 2023
Billion-scale similarity search with GPUs Jeff Johnson Matthijs Douze Hervé Jégou 386 3,750 0 28 Feb 2017