Learning Representations by Maximizing Mutual Information in Variational Autoencoders

21 December 2019

Papers citing "Learning Representations by Maximizing Mutual Information in Variational Autoencoders"

10 / 10 papers shown

Title
Invariant Representations via Wasserstein Correlation Maximization Keenan Eikenberry Lizuo Liu Yoonsang Lee OOD 18 0 0 16 May 2025
DynaSeg: A Deep Dynamic Fusion Method for Unsupervised Image Segmentation Incorporating Feature Similarity and Spatial Continuity Boujemaa Guermazi Naimul Khan 30 2 0 09 May 2024
How to Construct Energy for Images? Denoising Autoencoder Can Be Energy Based Model W. Zeng DiffM 39 1 0 05 Mar 2023
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
Forget-me-not! Contrastive Critics for Mitigating Posterior Collapse Sachit Menon David M. Blei Carl Vondrick DRL 22 6 0 19 Jul 2022
Semantic-Based Few-Shot Learning by Interactive Psychometric Testing Lu Yin Vlado Menkovski Yulong Pei Mykola Pechenizkiy 27 1 0 16 Dec 2021
Discriminative Multimodal Learning via Conditional Priors in Generative Models R. A. Mancisidor Michael C. Kampffmeyer K. Aas Robert Jenssen GAN 30 5 0 09 Oct 2021
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
Self-supervised Graph Learning for Recommendation Jiancan Wu Xiang Wang Fuli Feng Xiangnan He Liang Chen Jianxun Lian Xing Xie SSL 28 1,120 0 21 Oct 2020
AI Progress in Skin Lesion Analysis Philippe Burlina William Paul P. Mathew Neil J. Joshi Alison W. Rebman J. Aucott 21 0 0 28 Sep 2020