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Models/vNVDM

vNVDM

Reported on 9 benchmarks across 3 tasks · 1 paper · 3 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· 2018-08-31
0.44
best: 0.49 (vONTSS)
SOTA
Spherical Latent Spaces for Stable Variational Autoencoders arXiv:1808.10805
Topic ModelsonAG News
C_v· 2018-08-31
0.44
best: 0.49 (vONTSS)
SOTA
Spherical Latent Spaces for Stable Variational Autoencoders arXiv:1808.10805
Text ClassificationonAG News
NPMI· 2018-08-31
0.028
best: 0.054 (vONTSS)
Spherical Latent Spaces for Stable Variational Autoencoders arXiv:1808.10805
Text Classificationon20NewsGroups
C_v· 2018-08-31
0.52
best: 0.69 (vONTSS)
Spherical Latent Spaces for Stable Variational Autoencoders arXiv:1808.10805
Topic ModelsonAG News
NPMI· 2018-08-31
0.028
best: 0.054 (vONTSS)
Spherical Latent Spaces for Stable Variational Autoencoders arXiv:1808.10805
Topic Modelson20NewsGroups
C_v· 2018-08-31
0.52
best: 0.69 (vONTSS)
Spherical Latent Spaces for Stable Variational Autoencoders arXiv:1808.10805

Methodology3 results

ClassificationonAG News
C_v· 2018-08-31
0.44
best: 0.49 (vONTSS)
SOTA
Spherical Latent Spaces for Stable Variational Autoencoders arXiv:1808.10805
ClassificationonAG News
NPMI· 2018-08-31
0.028
best: 0.054 (vONTSS)
Spherical Latent Spaces for Stable Variational Autoencoders arXiv:1808.10805
Classificationon20NewsGroups
C_v· 2018-08-31
0.52
best: 0.69 (vONTSS)
Spherical Latent Spaces for Stable Variational Autoencoders arXiv:1808.10805