Self-Supervised Learning for Neural Topic Models with Variance-Invariance-Covariance Regularization

Weiran Xu, Kengo Hirami, Koji Eguchi

In our study, we propose a self-supervised neural topic model (NTM) that combines the power of NTMs and regularized self-supervised learning methods to improve performance. NTMs us…