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Deep Clustering based Fair Outlier Detection

Deep Clustering based Fair Outlier Detection

9 June 2021
Hanyu Song
Peizhao Li
Hongfu Liu
    FaML
ArXiv (abs)PDFHTML

Papers citing "Deep Clustering based Fair Outlier Detection"

18 / 18 papers shown
Title
FairOD: Fairness-aware Outlier Detection
FairOD: Fairness-aware Outlier Detection
Shubhranshu Shekhar
Neil Shah
Leman Akoglu
68
37
0
05 Dec 2020
Fairness in Machine Learning: A Survey
Fairness in Machine Learning: A Survey
Simon Caton
C. Haas
FaML
106
650
0
04 Oct 2020
COPOD: Copula-Based Outlier Detection
COPOD: Copula-Based Outlier Detection
Zheng Li
Yue Zhao
N. Botta
C. Ionescu
Xiyang Hu
87
287
0
20 Sep 2020
Deep Learning for Anomaly Detection: A Review
Deep Learning for Anomaly Detection: A Review
Guansong Pang
Chunhua Shen
LongBing Cao
Anton Van Den Hengel
198
931
0
06 Jul 2020
Fair Outlier Detection
Fair Outlier Detection
D. P.
Savitha Sam Abraham
FaML
105
18
0
20 May 2020
PyOD: A Python Toolbox for Scalable Outlier Detection
PyOD: A Python Toolbox for Scalable Outlier Detection
Yue Zhao
Zain Nasrullah
Zheng Li
102
724
0
06 Jan 2019
The Frontiers of Fairness in Machine Learning
The Frontiers of Fairness in Machine Learning
Alexandra Chouldechova
Aaron Roth
FaML
202
416
0
20 Oct 2018
Anomaly Detection with Generative Adversarial Networks for Multivariate
  Time Series
Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series
Dan Li
Dacheng Chen
Jonathan Goh
See-kiong Ng
AI4TS
69
297
0
13 Sep 2018
Path-Specific Counterfactual Fairness
Path-Specific Counterfactual Fairness
Silvia Chiappa
Thomas P. S. Gillam
CMLFaML
95
341
0
22 Feb 2018
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
384
685
0
17 Feb 2018
Efficient GAN-Based Anomaly Detection
Efficient GAN-Based Anomaly Detection
Houssam Zenati
Chuan-Sheng Foo
Bruno Lecouat
Gaurav Manek
V. Chandrasekhar
62
563
0
17 Feb 2018
Clustering with Outlier Removal
Clustering with Outlier Removal
Hongfu Liu
Jun Yu Li
Yue Wu
Y. Fu
50
68
0
05 Jan 2018
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup
  Fairness
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
Michael Kearns
Seth Neel
Aaron Roth
Zhiwei Steven Wu
FaML
202
784
0
14 Nov 2017
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GANOOD
284
4,680
0
17 Feb 2017
Inherent Trade-Offs in the Fair Determination of Risk Scores
Inherent Trade-Offs in the Fair Determination of Risk Scores
Jon M. Kleinberg
S. Mullainathan
Manish Raghavan
FaML
122
1,783
0
19 Sep 2016
Unsupervised Deep Embedding for Clustering Analysis
Unsupervised Deep Embedding for Clustering Analysis
Junyuan Xie
Ross B. Girshick
Ali Farhadi
SSL
107
2,889
0
19 Nov 2015
Certifying and removing disparate impact
Certifying and removing disparate impact
Michael Feldman
Sorelle A. Friedler
John Moeller
C. Scheidegger
Suresh Venkatasubramanian
FaML
215
1,996
0
11 Dec 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
486
16,916
0
20 Dec 2013
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