CIFAR
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
Split-CIFAR10 M = 1k (test)
87.94Accuracy
13
CIFAR-10 (val)
12.8Error (%)
13
CIFAR-100
73.7Symmetric 20% Accuracy
13
CIFAR-10
93.5Symmetric 20% Acc
13
CIFAR-100 (10% Random Data Forgetting)
55.03Utility Accuracy (UA)
13
CIFAR-100
46.7Accuracy
13
CIFAR10 frog
0KL Divergence (t)
13
CIFAR-10 SUBCLASS (deer) (forget/retain)
0KL Divergence (Test)
13
CIFAR-10 SUBCLASS (deer)
1.9KL Divergence Target (nats)
13
CIFAR-10 Class (airplane)
0KL Divergence (t)
13
CIFAR-10 10%-100 devices
83.56Accuracy (Dirichlet α=0.5)
13
CIFAR100 3-class forgetting
0.016Time
13
CIFAR100 1-class forgetting
0.02Time
13
CIFAR10 3-class forgetting
0.016Time
13
CIFAR10 1-class forgetting
0.018Unlearning Time
13
CIFAR-10
97.93Mean Accuracy
13
CIFAR-10 standard (test)
51.2Clustering Accuracy
13
CIFAR-10 (test)
93.65Accuracy (%)
13
CIFAR-10 Unlearn 5 Classes v1 (50% unlearned)
75.71Privacy Guarantee (H)
13
CIFAR-10 Unlearn 1 Class v1 (10% unlearned)
55.93PG H
13
CIFAR-10 newvar
0.824AUROC
13
CIFAR-10 mechanism
73.36AUROC
13
CIFAR-10 confounder
53.99AUROC
13
CIFAR-100 10-Tasks
26.53Average Accuracy (AA)
13
CIFAR-100 5-Tasks
45.18AA
13