Augmented Neural ODEs

Benchmark Model Rank Results
image-classification-on-cifar-10ANODE#228Percentage correct: 60.6
image-classification-on-mnistAugmented Neural Ordinary Differential Equation#20Percentage error: 0.37Accuracy: 99.63
image-classification-on-mnistANODE#42Percentage error: 1.8Accuracy: 98.2
image-classification-on-svhnANODE#40Percentage error: 16.5