Topic Models On Ag News
Metriken
C_v
NPMI
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | C_v | NPMI | Paper Title | Repository |
|---|---|---|---|---|
| GSM | 0.41 | 0.03 | Discovering Discrete Latent Topics with Neural Variational Inference | - |
| vONTSS | 0.49 | 0.054 | vONTSS: vMF based semi-supervised neural topic modeling with optimal transport | - |
| ProdLDA | 0.32 | -0.22 | Autoencoding Variational Inference For Topic Models | - |
| vNVDM | 0.44 | 0.028 | Spherical Latent Spaces for Stable Variational Autoencoders | - |
| NSTM | 0.37 | -0.04 | Neural Topic Model via Optimal Transport | - |
| ETM | 0.41 | 0.02 | Topic Modeling in Embedding Spaces | - |
0 of 6 row(s) selected.