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model-agnostic transfer

Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model

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The study investigates the potential of transferring ‘complementary’ knowledge from one pretrained model to another without performance degradation. This task is complex as additional knowledge can be contained in stronger,…

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