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. 2021 Mar 29;125(3):309–310. doi: 10.1038/s41416-021-01358-1

Fig. 1. Meta-learning overview.

Fig. 1

A typical meta-learning pipeline consists of two stages: (1) top panel: pre-train on source data which is abundant available and potentially training on different tasks, (2) Bottom panel: fine-tuning of the model on scarce target data.