Bohan Yoon

Adaptive Pseudo-Labeling via Word Coherence for Topic Modeling

This work presents adaptive pseudo-labeling for topic modeling (APT), a self-supervised learning framework designed to alleviate the need for labeled data, and integrates proxy-based deep metric learning into topic modeling to improve semantic coherence and diversity across topics.