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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
ArXivPDFHTML

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

3 / 3 papers shown
Title
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
32
4
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
30
0
0
29 Aug 2021
Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering
Jie Xu
Yazhou Ren
Huayi Tang
X. Pu
Xiaofeng Zhu
Ming Zeng
Lifang He
DRL
25
106
0
21 Jun 2021
1