Domain Adaptation and Few-Shot Learning

This cluster of papers focuses on the advances in transfer learning and domain adaptation, including topics such as few-shot learning, unsupervised learning, representation learning, deep networks, meta-learning, visual recognition, semi-supervised learning, and clustering analysis.

How has Domain Adaptation and Few-Shot Learning's publication output changed over time?

Output grew300% over the shown period — from 1 works in 2006 to 4 in 2023.

What are the most-cited papers on Domain Adaptation and Few-Shot Learning?

Where is Domain Adaptation and Few-Shot Learning research published, and who funds it?

How much of the research on Domain Adaptation and Few-Shot Learning is open access?