| Benchmark | Model | Rank | Results |
|---|---|---|---|
| sequential-image-classification-on-noise | Lipschitz RNN | #4 | % Test Accuracy: 59.0 |
| sequential-image-classification-on-sequential | LipschitzRNN | #20 | Permuted Accuracy: 96.3%Unpermuted Accuracy: 99.4 |
| sequential-image-classification-on-sequential-1 | LipschitzRNN | #10 | Unpermuted Accuracy: 64.2 |