| Benchmark | Model | Rank | Results |
|---|---|---|---|
| language-modelling-on-penn-treebank-character-level | Dense IndRNN | #7 | Bit per Character (BPC): 1.18 |
| language-modelling-on-penn-treebank-word-level | Dense IndRNN+dynamic eval | #12 | Test perplexity: 50.97 |
| language-modelling-on-penn-treebank-word-level | Dense IndRNN | #26 | Test perplexity: 56.37 |
| sequential-image-classification-on-sequential-mnist | Dense IndRNN | #13 | Permuted Accuracy: 97.2%Unpermuted Accuracy: 99.48% |
| skeleton-based-action-recognition-on-ntu-rgbd-60 | Dense IndRNN | #73 | Accuracy (CS): 86.70Accuracy (CV): 93.97 |