Sequential Image Classification On Noise
Metriken
% Test Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | % Test Accuracy | Paper Title | Repository |
|---|---|---|---|
| FlexTCN-6 | 69.87% | FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes | - |
| LSTM | 11.6 | AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks | - |
| AntisymmetricRNN w/ gating | 54.7 | AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks | - |
| UnICORNN | 62.4 | UnICORNN: A recurrent model for learning very long time dependencies | - |
| coRNN | 59.0 | Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies | - |
| Lipschitz RNN | 59.0 | Lipschitz Recurrent Neural Networks | - |
| LEM | 60.5 | Long Expressive Memory for Sequence Modeling | - |
0 of 7 row(s) selected.