Dimensionality Reduction

Variational Inference

Introduced by Cemgil et al. in Autoencoding Variational Autoencoder

Papers


Paper Code Results Date Stars

Tasks


Task Papers Share
Uncertainty Quantification 32 7.24%
Decoder 16 3.62%
Decision Making 15 3.39%
Density Estimation 14 3.17%
Classification 10 2.26%
Federated Learning 9 2.04%
Disentanglement 9 2.04%
Causal Discovery 9 2.04%
Clustering 8 1.81%

Components


Component Type
🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

Categories