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Predicting and Enhancing the Fairness of DNNs with the Curvature of
  Perceptual Manifolds
v1v2v3v4v5v6 (latest)

Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual Manifolds

22 March 2023
Yanbiao Ma
Licheng Jiao
Fan Liu
Maoji Wen
Lingling Li
Wenping Ma
Shuyuan Yang
Xu Liu
Puhua Chen
ArXiv (abs)PDFHTML

Papers citing "Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual Manifolds"

6 / 56 papers shown
Title
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,322
0
10 Dec 2015
Linear Readout of Object Manifolds
Linear Readout of Object Manifolds
SueYeon Chung
Daniel D. Lee
H. Sompolinsky
30
37
0
06 Dec 2015
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
477
43,685
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,479
0
04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLMObjD
1.7K
39,590
0
01 Sep 2014
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
373
25,678
0
09 Jun 2011
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