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Information-Theoretic Bias Assessment Of Learned Representations Of
  Pretrained Face Recognition
v1v2 (latest)

Information-Theoretic Bias Assessment Of Learned Representations Of Pretrained Face Recognition

8 November 2021
Jiazhi Li
Wael AbdAlmageed
ArXiv (abs)PDFHTML

Papers citing "Information-Theoretic Bias Assessment Of Learned Representations Of Pretrained Face Recognition"

14 / 14 papers shown
Title
Mitigating Face Recognition Bias via Group Adaptive Classifier
Mitigating Face Recognition Bias via Group Adaptive Classifier
Sixue Gong
Xiaoming Liu
Anil K. Jain
CVBMFaML
56
92
0
13 Jun 2020
Learning Meta Face Recognition in Unseen Domains
Learning Meta Face Recognition in Unseen Domains
Jianzhu Guo
Xiangyu Zhu
Chenxu Zhao
Dong Cao
Zhen Lei
Stan Z. Li
CVBMOOD
90
144
0
17 Mar 2020
Learning Unbiased Representations via Mutual Information Backpropagation
Learning Unbiased Representations via Mutual Information Backpropagation
R. Ragonesi
Riccardo Volpi
Jacopo Cavazza
Vittorio Murino
FaMLSSL
33
30
0
13 Mar 2020
Analyzing and Improving the Image Quality of StyleGAN
Analyzing and Improving the Image Quality of StyleGAN
Tero Karras
S. Laine
M. Aittala
Janne Hellsten
J. Lehtinen
Timo Aila
GAN
311
5,823
0
03 Dec 2019
Invariant Representations through Adversarial Forgetting
Invariant Representations through Adversarial Forgetting
Ayush Jaiswal
Daniel Moyer
Greg Ver Steeg
Wael AbdAlmageed
Premkumar Natarajan
OOD
48
39
0
11 Nov 2019
REPAIR: Removing Representation Bias by Dataset Resampling
REPAIR: Removing Representation Bias by Dataset Resampling
Yi Li
Nuno Vasconcelos
FaML
79
287
0
16 Apr 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
599
10,590
0
12 Dec 2018
Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep
  Neural Network Embeddings
Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings
Mohsan S. Alvi
Andrew Zisserman
C. Nellåker
FaML
123
248
0
06 Sep 2018
Deep Face Recognition: A Survey
Deep Face Recognition: A Survey
Mei Wang
Weihong Deng
NoLa
140
1,233
0
18 Apr 2018
Controllable Invariance through Adversarial Feature Learning
Controllable Invariance through Adversarial Feature Learning
Qizhe Xie
Zihang Dai
Yulun Du
Eduard H. Hovy
Graham Neubig
OOD
94
293
0
31 May 2017
Age Progression/Regression by Conditional Adversarial Autoencoder
Age Progression/Regression by Conditional Adversarial Autoencoder
Zhifei Zhang
Yang Song
Hairong Qi
GANCVBM
77
1,117
0
27 Feb 2017
Equality of Opportunity in Supervised Learning
Equality of Opportunity in Supervised Learning
Moritz Hardt
Eric Price
Nathan Srebro
FaML
233
4,330
0
07 Oct 2016
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
247
8,424
0
28 Nov 2014
Measuring and testing dependence by correlation of distances
Measuring and testing dependence by correlation of distances
G. Székely
Maria L. Rizzo
N. K. Bakirov
279
2,602
0
28 Mar 2008
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