ContinualAI / ContinualAI/continual-learning-baselines

Synaptic Intelligence vs Naive Finetuning Comparison

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Hi, I am running some experiments to compare synaptic intelligence and naive fine-tuning on different benchmarks, including SplitMNIST, PermutedMNIST, and a custom dataset benchmark of non-iid datasets. I observed that the performance of synaptic intelligence mirrors **exactly** the performance of the naive fine-tuning strategy. Is this performance expected?

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