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Continual Learning on CIFAR-100 Split

88.54Average Accuracy (AA)TreeLoRA
0.34823.24446.1469.036Jun 12, 2025Aug 6, 2025Sep 30, 2025Nov 24, 2025Jan 18, 2026Mar 14, 2026May 8, 2026

Evaluation results

MethodLinks
TreeLoRATIME (s)=214 ± 42025.0688.54——————————4.37——
HiDeLoRATIME (s)=692 ± 72025.0688.46——————————4.33——
EWCTIME (s)=4091 ± 142025.0684.79——————————5.22——
HiDePromptTIME (s)=1205 ± 112025.0683.71——————————5.34——
L2PTIME (s)=1240 ± 122025.0679.66——————————4.4——
DualPromptTIME (s)=1173 ± 142025.0678.83——————————4.89——
GEMTIME (s)=22456 ± 312025.0676.46——————————4.37——
DNH-HOPE2025.1171.6——————————-11.1——
Titans (LMM)2025.1169.8——————————-13.2——
HOPE2025.1168.4——————————-15.3——
DeltaNet2025.1167.2——————————-16.5——
RetNet2025.1166.3——————————-17.9——
Transformer++2025.1165.1——————————-18.7——
DER++ + FPR-FullSetting=Split CIFAR-100 CL, budget=2002026.0513.6——————————0.48171.49.1
DER++Setting=Split CIFAR-100 CL2026.0513.46———————————92.0917.68
DER++Setting=Split CIFAR-100 CL, budget=2002026.0512.5——————————0.5389816.6
SeqLoRATIME (s)=694 ± 82025.0610.35——————————97.62——
FPR-TrajSetting=Split CIFAR-100 CL2026.053.74———————————55.683.32
EWCBackbone=WRN-28x102026.02—19.418.214.524.721.618.720.915.92213.5———
OGDBackbone=Simple CNN2026.02—8.53.686.44.58.421.313.615.966———
SFAOBackbone=Simple CNN2026.02—8.98.39.911.212.511.226.716.821.423.6———
SGDBackbone=Simple CNN2026.02—10.110.189.610.410.110.9911.412.3———
SIBackbone=WRN-28x102026.02—12.21419.114.416.932.328.431.537.843.6———