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Models/ProdLDA

ProdLDA

Reported on 9 benchmarks across 3 tasks · 1 paper · 9 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing6 results

Text ClassificationonAG News
C_v· 2017-03-04
0.32
best: 0.49 (vONTSS)
SOTA
Autoencoding Variational Inference For Topic Models arXiv:1703.01488
Text ClassificationonAG News
NPMI· 2017-03-04
-0.22
best: 0.054 (vONTSS)
SOTA
Autoencoding Variational Inference For Topic Models arXiv:1703.01488
Text Classificationon20NewsGroups
C_v· 2017-03-04
0.35
best: 0.69 (vONTSS)
SOTA
Autoencoding Variational Inference For Topic Models arXiv:1703.01488
Topic ModelsonAG News
C_v· 2017-03-04
0.32
best: 0.49 (vONTSS)
SOTA
Autoencoding Variational Inference For Topic Models arXiv:1703.01488
Topic ModelsonAG News
NPMI· 2017-03-04
-0.22
best: 0.054 (vONTSS)
SOTA
Autoencoding Variational Inference For Topic Models arXiv:1703.01488
Topic Modelson20NewsGroups
C_v· 2017-03-04
0.35
best: 0.69 (vONTSS)
SOTA
Autoencoding Variational Inference For Topic Models arXiv:1703.01488

Methodology3 results

ClassificationonAG News
C_v· 2017-03-04
0.32
best: 0.49 (vONTSS)
SOTA
Autoencoding Variational Inference For Topic Models arXiv:1703.01488
ClassificationonAG News
NPMI· 2017-03-04
-0.22
best: 0.054 (vONTSS)
SOTA
Autoencoding Variational Inference For Topic Models arXiv:1703.01488
Classificationon20NewsGroups
C_v· 2017-03-04
0.35
best: 0.69 (vONTSS)
SOTA
Autoencoding Variational Inference For Topic Models arXiv:1703.01488