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Continual Learning on CIFAR-10 Split

80.55Average AccuracyAdaptive Training
44.61853.946563.27572.6035Feb 24, 2026Feb 26, 2026Feb 28, 2026Mar 2, 2026Mar 4, 2026Mar 6, 2026Mar 8, 2026

Evaluation results

MethodLinks
Adaptive TrainingTraining Mode=Adaptive2026.0280.5519.51—
Adaptive TrainingTraining Mode=Adaptive, Framework=Adaptive Hybrid Update Framework2026.0280.5519.51—
NestedCapsule Oracletask identification=Oracle2026.0379.5——
NestedCapsule OracleContext Source=One-hot task ID2026.0379.50—
NestedCapsule Gradient Ctxcontext signal=gradient context2026.0378.5——
NestedCapsule + GradCtxContext Source=∇θL + routing2026.0378.5078.5
HyperNet Oracletask identification=One-hot task ID2026.0377.7——
HyperNet OracleContext Source=One-hot task ID2026.0377.7077
HyperNet Gradient Contextcontext signal=gradient context2026.0377—77
HyperNet + GradCtxContext Source=∇θL2026.0377077
Frozen TrainingTraining Mode=Frozen2026.0275.9821.1—
Frozen TrainingTraining Mode=Frozen2026.0275.9821.1—
Initialized TrainingTraining Mode=Initialized2026.0275.7423.3—
Initialized TrainingTraining Mode=Initialized2026.0275.7423.3—
HyperNet Learned (batch)context signal=batch statistics, cosine similarity=> 0.9952026.0354.4——
HyperNet Learned (batch)Context Source=Batch pixel mean/var2026.0354.4—0.5
SGD + Replaymode=Catastrophic forgetting2026.0346—0