Image Classification on CIFAR-10 (test) (Accuracy and Efficiency Profile) benchmark leaderboard · SOTA2 Research

Image Classification on CIFAR-10 (test) (Accuracy and Efficiency Profile)

94.5AccuracyPCD

Evaluation Results

Method	Links
PCD2026.06		94.5	1.82	62.4	27.2
WS2026.06		94.5	1.82	62.4	27.2
CAGrad2026.06		94.5	1.82	62.4	27.2
MGDA2026.06		94.5	1.82	62.4	27.2
PCGrad2026.06		94.5	1.82	62.4	27.2
FAMO2026.06		94.5	1.82	62.4	27.2
AuxiNash2026.06		94.5	1.82	62.4	27.2
PCD2026.06		94	0.48	24	4.9
PCD2026.06		94	0.38	20.8	3.7
PCD2026.06		94	0.32	16.9	2.4
PCD2026.06		92.9	0.12	9.2	0.88
PCD2026.06		89.2	0.042	5	0.28
AuxiNash2026.06		71.8	0.48	24	4.9
AuxiNash2026.06		71.8	0.38	20.8	3.7
AuxiNash2026.06		71.8	0.32	16.9	2.4
AuxiNash2026.06		71.8	0.12	9.2	0.88
AuxiNash2026.06		71.8	0.042	5	0.28
WS2026.06		64.6	0.48	24	4.9
WS2026.06		64.6	0.38	20.8	3.7
WS2026.06		64.6	0.32	16.9	2.4
WS2026.06		64.6	0.12	9.2	0.88
WS2026.06		64.6	0.042	5	0.28
CAGrad2026.06		55.6	0.48	24	4.9
CAGrad2026.06		55.5	0.38	20.8	3.7
CAGrad2026.06		55.5	0.32	16.9	2.4
CAGrad2026.06		55.5	0.12	9.2	0.88
CAGrad2026.06		55.5	0.042	5	0.28
MGDA2026.06		40.5	0.48	24	4.9
MGDA2026.06		40.5	0.38	20.8	3.7
MGDA2026.06		40.1	0.32	16.9	2.4
MGDA2026.06		40.1	0.042	5	0.28
MGDA2026.06		40	0.12	9.2	0.88
PCGrad2026.06		37.9	0.48	24	4.9
PCGrad2026.06		37.9	0.38	20.8	3.7
PCGrad2026.06		37.9	0.32	16.9	2.4
PCGrad2026.06		37.9	0.12	9.2	0.88
PCGrad2026.06		37.8	0.042	5	0.28
FAMO2026.06		21.8	0.48	24	4.9
FAMO2026.06		20.9	0.38	20.8	3.7
FAMO2026.06		20.9	0.32	16.9	2.4
FAMO2026.06		19.8	0.12	9.2	0.88
FAMO2026.06		17.3	0.042	5	0.28