L MIXED

Reported on 5 benchmarks across 3 tasks · 1 paper

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

Natural Language Processing3 results

Sentiment AnalysisonIMDb
Accuracy· 2020-09-08
95.68
best: 96.68 (RoBERTa-large with LlamBERT)
Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function arXiv:2009.04007
Text ClassificationonDBpedia
Error· 2020-09-08
0.7
best: 0.62 (XLNet)
Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function arXiv:2009.04007
Text ClassificationonAG News
Error· 2020-09-08
4.95
best: 4.45 (XLNet)
Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function arXiv:2009.04007

Methodology2 results

ClassificationonDBpedia
Error· 2020-09-08
0.7
best: 0.62 (XLNet)
Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function arXiv:2009.04007
ClassificationonAG News
Error· 2020-09-08
4.95
best: 4.45 (XLNet)
Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function arXiv:2009.04007