Multiple Datasets
Benchmarks
TaskDatasetSOTA resultTrendResults
Multiple Datasets
47Inference Time (ms)
105
Multiple Datasets (test)
58.82AULC
33
Multiple Datasets (val)
58.37LL
33
Multiple Datasets (CIFAR-100 and ImageNet-A)
88.32Accuracy (Last Task)
24
Multiple datasets
0.635Pearson r
15
Multiple datasets
0.771Pearson r
12
Multiple Datasets Average
100Relative Score
12
Multiple Datasets Aggregate
91.17Accuracy
10
Multiple datasets mean Friedman rank (10 stratified outer folds)
2.53Mean Friedman Rank (Betti H0)
9
Multiple datasets 91 d
5Win counts
6
Multiple datasets 30 d
6Win Counts
6
Multiple datasets 7 d
7Win Counts
6
Multiple datasets Average
0.91Discriminator AUC
5
Multiple Datasets
2.2Average Rank
4
Multiple Datasets
90.1Accuracy
1
Multiple datasets
—Primary metric
0