HyperAI

Active Learning On Cifar10 10000

Metrics

Accuracy

Results

Performance results of various models on this benchmark

Comparison Table
Model NameAccuracy
active-learning-for-convolutional-neural89.92
towards-robust-and-reproducible-active88.45
sequential-graph-convolutional-network-for90.70
towards-robust-and-reproducible-active85.09
active-learning-on-a-budget-opposite93.2
using-self-supervised-pretext-tasks-for93.1
19050367791.01