# Generative Subspace Adversarial Active Learning for Unsupervised Outlier Detection

GSAAL focuses on detecting outliers while incorporating the information of the feature subspaces. This is the official implementation of GSAAL introduced by: [PAPER]

Please cite the paper if you use our code. Thank you :)

# Sensibility Experiment

Executing the bash file ```ks.sh``` runs all experiments with all the additional values of ```k```.
