ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1904.08491
  4. Cited By
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"

4 / 4 papers shown
Title
Explainability and Robustness of Deep Visual Classification Models
Explainability and Robustness of Deep Visual Classification Models
Jindong Gu
AAML
39
2
0
03 Jan 2023
Label-Free Explainability for Unsupervised Models
Label-Free Explainability for Unsupervised Models
Jonathan Crabbé
M. Schaar
FAtt
MILM
19
22
0
03 Mar 2022
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
21
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
13
46
0
01 Oct 2020
1