2020
Unsupervised Clustering using Pseudo-semi-supervised Learning
ICLR 2020poster
In this paper, we propose a framework that leverages semi-supervised models to improve unsupervised clustering performance. To leverage semi-supervised models, we first need to automatically generate labels, called pseudo-labels. We find that prior approaches for generating pseudo-labels hurt cluste…