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VMI-VAE: Variational Mutual Information Maximization Framework for VAE
  With Discrete and Continuous Priors

VMI-VAE: Variational Mutual Information Maximization Framework for VAE With Discrete and Continuous Priors

28 May 2020
Andriy Serdega
Dae-Shik Kim
    DRL
ArXiv (abs)PDFHTML

Papers citing "VMI-VAE: Variational Mutual Information Maximization Framework for VAE With Discrete and Continuous Priors"

4 / 4 papers shown
Training β-VAE by Aggregating a Learned Gaussian Posterior with a
  Decoupled Decoder
Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder
Jianning Li
Jana Fragemann
Seyed-Ahmad Ahmadi
Jens Kleesiek
Jan Egger
DRL
173
6
0
29 Sep 2022
Deep Dive into Semi-Supervised ELBO for Improving Classification
  Performance
Deep Dive into Semi-Supervised ELBO for Improving Classification Performance
Fahim Faisal Niloy
M. A. Amin
A. K. M. Mahbubur Rahman
A. Ali
DRL
162
0
0
29 Aug 2021
Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view ClusteringIEEE International Conference on Computer Vision (ICCV), 2021
Jie Xu
Yazhou Ren
Huayi Tang
X. Pu
Xiaofeng Zhu
Ming Zeng
Lifang He
DRL
206
144
0
21 Jun 2021
Mutual Information Constraints for Monte-Carlo Objectives
Mutual Information Constraints for Monte-Carlo ObjectivesJournal of machine learning research (JMLR), 2020
Gábor Melis
András Gyorgy
Phil Blunsom
221
1
0
01 Dec 2020
1