Final Term Project For Bayesian Machine Learning Lecture (XAI-623)
The presentation is given in YoutubeLink
Dirty MNIST
Active learning on MNIST: Ambiguous MNIST = 1:60
which is same with DDU paper.
OOD MNIST
Active learning on MNIST: Ambiguous MNIST : EMNIST = 1:60:1
use MLN + Feature Density Traning process of MLN is same as paper and implementation. Estimation of feature density is done by modeling GMM with EM algorithm, implemented here
Dirty MNIST
OOD MNIST