Fine-tuning causes architecture-specific forgetting of individual samples that is stochastic across seeds, with ViTs showing more predictable decay than CNNs and class-level patterns that are semantically consistent.
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Not All Forgetting Is Equal: Architecture-Dependent Retention Dynamics in Fine-Tuned Image Classifiers
Fine-tuning causes architecture-specific forgetting of individual samples that is stochastic across seeds, with ViTs showing more predictable decay than CNNs and class-level patterns that are semantically consistent.