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Learning Interpretable Disentangled Representations using Adversarial
  VAEs

Learning Interpretable Disentangled Representations using Adversarial VAEs

17 April 2019
Mhd Hasan Sarhan
Abouzar Eslami
Nassir Navab
Shadi Albarqouni
    DRL
    OOD
ArXivPDFHTML

Papers citing "Learning Interpretable Disentangled Representations using Adversarial VAEs"

6 / 6 papers shown
Title
Explainability and Robustness of Deep Visual Classification Models
Explainability and Robustness of Deep Visual Classification Models
Jindong Gu
AAML
47
2
0
03 Jan 2023
Label-Free Explainability for Unsupervised Models
Label-Free Explainability for Unsupervised Models
Jonathan Crabbé
M. Schaar
FAtt
MILM
24
22
0
03 Mar 2022
Explainable artificial intelligence (XAI) in deep learning-based medical
  image analysis
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
Bas H. M. van der Velden
Hugo J. Kuijf
K. Gilhuijs
M. Viergever
XAI
40
638
0
22 Jul 2021
Conditional Generation of Medical Images via Disentangled Adversarial
  Inference
Conditional Generation of Medical Images via Disentangled Adversarial Inference
Mohammad Havaei
Ximeng Mao
Yiping Wang
Qicheng Lao
GAN
MedIm
26
20
0
08 Dec 2020
EigenGame: PCA as a Nash Equilibrium
EigenGame: PCA as a Nash Equilibrium
I. Gemp
Brian McWilliams
Claire Vernade
T. Graepel
32
46
0
01 Oct 2020
Fairness by Learning Orthogonal Disentangled Representations
Fairness by Learning Orthogonal Disentangled Representations
Mhd Hasan Sarhan
Nassir Navab
Abouzar Eslami
Shadi Albarqouni
FaML
OOD
CML
19
96
0
12 Mar 2020
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