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Knowledge Retention on ImageNet

75.5Control AccuracyRandProj
-2.70817.59637.958.204Feb 3, 2025

Evaluation results

MethodLinks
RandProjBackbone=ViT-L/14, Basis Ratio (M)=50%2025.0275.5
AEBackbone=ViT-L/14, Basis Ratio (M)=50%2025.0273.4
TABackbone=ViT-L/14, Basis Ratio (M)=50%2025.0272.9
PCABackbone=ViT-L/14, Basis Ratio (M)=50%2025.0272.4
RandProjBackbone=ViT-B/16, Basis Ratio (M)=50%2025.0268.3
AEBackbone=ViT-B/16, Basis Ratio (M)=50%2025.0265.9
TABackbone=ViT-B/16, Basis Ratio (M)=50%2025.0265.4
TABackbone=ViT-B/32, Basis Ratio (M)=50%2025.0264.9
PCABackbone=ViT-B/16, Basis Ratio (M)=50%2025.0264.6
RandProjBackbone=ViT-B/32, Basis Ratio (M)=50%2025.0263.3
PCABackbone=ViT-B/32, Basis Ratio (M)=50%2025.0261
AEBackbone=ViT-B/32, Basis Ratio (M)=50%2025.0260.5
Gradient AscentBackbone=ViT-L/14, Basis Ratio (M)=50%2025.0216.3
Gradient AscentBackbone=ViT-B/16, Basis Ratio (M)=50%2025.020.7
Gradient AscentBackbone=ViT-B/32, Basis Ratio (M)=50%2025.020.3