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 44 8.80%
Decision Making 15 3.00%
regression 14 2.80%
Decoder 14 2.80%
Computational Efficiency 12 2.40%
Denoising 12 2.40%
Clustering 11 2.20%
Deep Learning 10 2.00%
Federated Learning 10 2.00%

Components


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

Categories