Article

Identifying Transfer Learning in the Reshaping of Inductive Biases

2024-01-18

Abstract excerpt

<p>Transfer learning, the reuse of newly acquired knowledge under novel circumstances, is a critical hallmark of human intelligence that has frequently been pitted against the capacities of artificial learning agents. Yet, the computations relevant to transfer learning have been little investigated in humans. The benefit of efficient inductive biases (meta-level constraints that shape learning, often referred to a...

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Literature Corpus work: b36a141e-5391-5135-ae31-8f37ea24737a
DOI: 10.31234/osf.io/jvumf

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