FlowGMM

Reported on 4 benchmarks across 2 tasks · 1 paper · 4 SOTA

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

Natural Language Processing2 results

Text ClassificationonYahoo! Answers (800 Labels)
Accuracy (%)· 2019-12-30
57.9
SOTA
Semi-Supervised Learning with Normalizing Flows arXiv:1912.13025
Text ClassificationonAG News (200 Labels)
Accuracy (%)· 2019-12-30
82.1
SOTA
Semi-Supervised Learning with Normalizing Flows arXiv:1912.13025

Methodology2 results

ClassificationonYahoo! Answers (800 Labels)
Accuracy (%)· 2019-12-30
57.9
SOTA
Semi-Supervised Learning with Normalizing Flows arXiv:1912.13025
ClassificationonAG News (200 Labels)
Accuracy (%)· 2019-12-30
82.1
SOTA
Semi-Supervised Learning with Normalizing Flows arXiv:1912.13025