Mixquality_AL
Final Term Project For Bayesian Machine Learning Lecture (XAI-623)
Youtube Link
The presentation is given in YoutubeLink
Problem Formulation
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
Method
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
Expriment Results
Dirty MNIST
OOD MNIST
