Dimensionality Reduction

Variational Inference

Introduced by Cemgil et al. in Autoencoding Variational Autoencoder

Papers


Paper Code Results Date Stars

Tasks


Task Papers Share
Time Series 9 4.02%
Meta-Learning 9 4.02%
Density Estimation 8 3.57%
Benchmark 8 3.57%
Causal Discovery 6 2.68%
Imputation 6 2.68%
Autonomous Driving 6 2.68%
Image Classification 6 2.68%
Denoising 5 2.23%

Components


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

Categories