Clustering on CIFAR-10 (Average Accuracy, Std Dev) benchmark leaderboard · SOTA2 Research

Clustering on CIFAR-10 (Average Accuracy, Std Dev)

63.5Average AccuracySSLC/USLC

Evaluation Results

Method	Links
SSLC/USLC2025.04		63.5	2.7
SSLC/USLC2025.04		61.3	3.4
SSLC/USLC2025.04		59.7	4.7
PoissonMBO2025.04		57.9	3.2
CutSSL2025.04		57.9	3.2
SSLC/USLC2025.04		57.1	4.9
PoissonMBO2025.04		56.5	3.5
CutSSL2025.04		56.5	3.5
VolumeMBO2025.04		55.3	3.8
PoissonMBO2025.04		53.5	4.4
CutSSL2025.04		53.5	4.4
VolumeMBO2025.04		53.3	4.4
SSLC/USLC2025.04		51.2	5.2
PoissonMBO2025.04		50.2	6
CutSSL2025.04		50.2	6
VolumeMBO2025.04		50.1	5.7
p-Laplace2025.04		49.7	3.8
Random Walk2025.04		49	2.6
SSLC/USLC2025.04		48.2	6.1
p-Laplace2025.04		48.1	2.6
Random Walk2025.04		47.5	2.9
VolumeMBO2025.04		46.4	7.2
Random Walk2025.04		45.1	3.3
WNLL2025.04		44	5.5
p-Laplace2025.04		42.1	3.1
Random Walk2025.04		42	4.4
PoissonMBO2025.04		41.8	6.5
CutSSL2025.04		41.8	6.5
WNLL2025.04		39	6.2
VolumeMBO2025.04		38	7.2
Random Walk2025.04		36.4	4.9
p-Laplace2025.04		35	5.4
WNLL2025.04		33.2	7
WNLL2025.04		26.2	6.8
p-Laplace2025.04		26	6.7
WNLL2025.04		16.6	5.2
Laplace2025.04		14.1	5
Laplace2025.04		12.9	3.9
Laplace2025.04		11.6	2.7
Laplace2025.04		11	2.1
Laplace2025.04		10.4	1.3