Topic Models On 20Newsgroups
Metrics
C_v
Results
Performance results of various models on this benchmark
Model Name | C_v | Paper Title | Repository |
|---|---|---|---|
| ETM | 0.51 | Topic Modeling in Embedding Spaces | - |
| GSM | 0.55 | Discovering Discrete Latent Topics with Neural Variational Inference | - |
| vONTSS | 0.69 | vONTSS: vMF based semi-supervised neural topic modeling with optimal transport | - |
| NSTM | 0.38 | Neural Topic Model via Optimal Transport | - |
| ProdLDA | 0.35 | Autoencoding Variational Inference For Topic Models | - |
| vNVDM | 0.52 | Spherical Latent Spaces for Stable Variational Autoencoders | - |
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