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Online Task-incremental Learning on Split CIFAR100

71AccuracyLayerwise Optimization by Gradient Decomposition
42.19249.67157.1564.629May 17, 2021

Evaluation results

MethodLinks
Layerwise Optimization by Gradient DecompositionTraining Epochs=3 epochs2021.0571
GEMTraining Epochs=3 epochs, Memory Size=2562021.0569.6
Layerwise Optimization by Gradient DecompositionTraining Epochs=1 epoch2021.0569.3
A-GEMTraining Epochs=3 epochs, Memory Size=2562021.0569.1
S-GEMTraining Epochs=3 epochs, Memory Size=2562021.0568.8
tinyER+Training Epochs=1 epoch2021.0568.3
GEMTraining Epochs=1 epoch, Memory Size=2562021.0565.8
A-GEMTraining Epochs=1 epoch, Memory Size=2562021.0565.3
S-GEMTraining Epochs=1 epoch, Memory Size=2562021.0564.2
GDumbTraining Epochs=1 epoch, Training Schedule=Online Task Incremental Disjoint2021.0560.3
EWCTraining Epochs=3 epochs2021.0556.9
iCARLTraining Epochs=3 epochs2021.0555.8
iCARLTraining Epochs=1 epoch2021.0555.7
SingleTraining Epochs=3 epochs2021.0555.4
SingleTraining Epochs=1 epoch2021.0554.7
IndependentTraining Epochs=3 epochs2021.0553.5
EWCTraining Epochs=1 epoch2021.0548.3
IndependentTraining Epochs=1 epoch2021.0543.3