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Status: Unchecked ×Keyword: transfer gain ×Clear all

1 claim from 1 paper

1. Computer Science › Domain Adaptation and Few-Shot Learning

   Learning to Predict Task Transferability via Soft Prompt

   Feng · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 2023

   The paper trains a function on soft prompt task embeddings to predict which source tasks transfer well to a new target task, avoiding a brute-force search of all source-target pairs.

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   1. UncheckedAcross 50 tasks, a learned scoring method efficiently picks out source tasks that help a new target task through transfer learning.“Experimental results across 50 tasks show that our method efficiently identifies beneficial tasks for transfer learning.”