CNN-LSTM
Reported on 7 benchmarks across 5 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
- Average Recall0.61best: 0.681 (LSTMs+CNNs ensemble with multiple conv. ops)
- Average Recall0.62
- Average Recall0.9
Audio1 result
- Percentage error· 2016-10-176.6best: 4.3 (IBM (LSTM+Conformer encoder-decoder))
Robots1 result
- leave one out cross validation(LOOCV)98.27
Medical1 result
- Pearson Correlation0.52best: 0.67 (FingerFlex)
Time Series1 result
- leave one out cross validation(LOOCV)98.27