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ResearchFormerly WizWand

Incremental Learning on CIFAR-100 (10 tasks)

70.59Avg Incremental AccUpper bound
8.886824.905940.92556.9441May 12, 2026
Updated 6mo ago

Evaluation results

MethodLinks
Upper boundModel Inversion=false, Backbone=ResNet-32, Number of runs=52026.0570.59
Upper boundModel inversion=false, Backbone=ResNet-32, Number of runs=52026.0570.59
REMIXModel Inversion=true, Backbone=ResNet-32, Number of runs=52026.0545.38
REMIXModel inversion=true, Backbone=ResNet-32, Number of runs=52026.0545.38
PMIModel Inversion=true, Backbone=ResNet-32, Number of runs=52026.0543.9
PMIModel inversion=true, Backbone=ResNet-32, Number of runs=52026.0543.9
PMI w/o CFSModel Inversion=true, Backbone=ResNet-32, Number of runs=52026.0543.23
PMI w/o CFSModel inversion=true, Backbone=ResNet-32, Number of runs=52026.0543.23
R-DFCILModel Inversion=true, Backbone=ResNet-32, Number of runs=52026.0541.8
R-DFCILModel inversion=true, Backbone=ResNet-32, Number of runs=52026.0541.8
ABDModel Inversion=true, Backbone=ResNet-32, Number of runs=52026.0536.75
ABDModel inversion=true, Backbone=ResNet-32, Number of runs=52026.0536.75
DCMIModel inversion=true, Backbone=ResNet-32, Number of runs=52026.0527.7
PRAKAModel inversion=false, Backbone=ResNet-32, Number of runs=52026.0526.72
SSREModel inversion=false, Backbone=ResNet-32, Number of runs=52026.0517.77
DeepInversionModel Inversion=true, Backbone=ResNet-32, Number of runs=52026.0511.26
DeepInversionModel inversion=true, Backbone=ResNet-32, Number of runs=52026.0511.26