Topic Modeling: Enhancing Neural Models with Multi-Objective Contrastive Optimization
The author proposes a novel contrastive learning method oriented towards sets of topic vectors to enhance neural topic models. By formulating contrastive topic modeling as a multi-objective optimization problem, the author aims to achieve a balance between the ELBO and the contrastive objective.
