research
∙
07/19/2023
Symmetric Equilibrium Learning of VAEs
We view variational autoencoders (VAE) as decoder-encoder pairs, which m...
share
research
∙
07/07/2022
Enhancing Fairness of Visual Attribute Predictors
The performance of deep neural networks for image recognition tasks such...
research
∙
02/18/2021
VAE Approximation Error: ELBO and Conditional Independence
The importance of Variational Autoencoders reaches far beyond standalone...
research
∙
10/30/2017
A Connection between Feed-Forward Neural Networks and Probabilistic Graphical Models
Two of the most popular modelling paradigms in computer vision are feed-...
research
∙
02/21/2017
Crowd Sourcing Image Segmentation with iaSTAPLE
We propose a novel label fusion technique as well as a crowdsourcing pro...
research
∙
07/14/2011
