Inan et al. (2016) - Variational RHN

Reported on 2 benchmarks across 1 task · 1 paper

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

Medical2 results

Language ModellingonPenn Treebank (Word Level)
Test perplexity· 2016-11-04
66
best: 20.5 (GPT-3 (Zero-Shot))
Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling arXiv:1611.01462
Language ModellingonPenn Treebank (Word Level)
Validation perplexity· 2016-11-04
68.1
best: 36.1 (BERT-Large-CAS)
Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling arXiv:1611.01462