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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

6 September 2018
Mohsan S. Alvi
Andrew Zisserman
C. Nellåker
    FaML
ArXivPDFHTML

Papers citing "Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings"

6 / 56 papers shown
Title
Revealing Neural Network Bias to Non-Experts Through Interactive
  Counterfactual Examples
Revealing Neural Network Bias to Non-Experts Through Interactive Counterfactual Examples
Chelsea M. Myers
Evan Freed
Luis Fernando Laris Pardo
Anushay Furqan
S. Risi
Jichen Zhu
CML
15
12
0
07 Jan 2020
DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection
DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection
Ruben Tolosana
R. Vera-Rodríguez
Julian Fierrez
Aythami Morales
J. Ortega-Garcia
3DPC
CVBM
51
775
0
01 Jan 2020
Towards Fairness in Visual Recognition: Effective Strategies for Bias
  Mitigation
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation
Zeyu Wang
Klint Qinami
Yannis Karakozis
Kyle Genova
P. Nair
Kenji Hata
Olga Russakovsky
38
357
0
26 Nov 2019
Delving into VoxCeleb: environment invariant speaker recognition
Delving into VoxCeleb: environment invariant speaker recognition
Joon Son Chung
Jaesung Huh
Seongkyu Mun
33
50
0
24 Oct 2019
Unsupervised Label Noise Modeling and Loss Correction
Unsupervised Label Noise Modeling and Loss Correction
Eric Arazo Sanchez
Diego Ortego
Paul Albert
Noel E. O'Connor
Kevin McGuinness
NoLa
44
603
0
25 Apr 2019
MatConvNet - Convolutional Neural Networks for MATLAB
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
186
2,946
0
15 Dec 2014
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