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Domain Adaptation and Few-Shot Learning

TopicLeading institutions, researchers & key papers

Domain Adaptation and Few-Shot Learning is a topic indexed in ScholarIQ from OpenAlex.

What is known about Domain Adaptation and Few-Shot Learning?

ScholarIQrecord summary

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 many works does Domain Adaptation and Few-Shot Learning have?

ScholarIQindexed works

Domain Adaptation and Few-Shot Learning has 49,081 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

How many citations does Domain Adaptation and Few-Shot Learning have?

ScholarIQcitation count

Domain Adaptation and Few-Shot Learning has 1,021,004 citations in the OpenAlex counts ScholarIQ stores.

What is the OpenAlex record for Domain Adaptation and Few-Shot Learning?

ScholarIQopenalex

The OpenAlex for Domain Adaptation and Few-Shot Learning is on the source record.

Who are the most-cited researchers behind Domain Adaptation and Few-Shot Learning?

ScholarIQtop researchers by citations
1
Kaiming He · Advanced Neural Network Applications
164 works556,612 citations
2
Yoshua Bengio · Neural Networks and Applications
1,290 works476,190 citations
3
Geoffrey E. Hinton · Neural Networks and Applications
385 works451,920 citations
4
Shaoqing Ren · Advanced Neural Network Applications
29 works355,672 citations
5
Ross Girshick · Advanced Neural Network Applications
175 works355,032 citations

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

ScholarIQvenues & funding sources

TOP JOURNALS

No journal data available yet.

TOP FUNDERS

National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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