LipschitzRNN

Reported on 2 benchmarks across 1 task · 1 paper · 2 SOTA

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

Computer Vision2 results

Image ClassificationonSequential MNIST
Unpermuted Accuracy· 2020-06-22
99.4
best: 99.75 (SMPConv)
SOTA
Lipschitz Recurrent Neural Networks arXiv:2006.12070
Image ClassificationonSequential CIFAR-10
Unpermuted Accuracy· 2020-06-22
64.2
best: 89 (LRU)
SOTA
Lipschitz Recurrent Neural Networks arXiv:2006.12070