ScholarIQanswers from OpenAlex
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 87 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
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.
What are the most-cited papers on Domain Adaptation and Few-Shot Learning?
ScholarIQmost cited works
One-shot learning of object categories
Li Fei-Fei, Rob Fergus, Pietro Perona
A Decade Survey of Transfer Learning (2010–2020)
Shuteng Niu, Yongxin Liu, Jian Wang, Houbing Song
A Comprehensive Survey of Image Augmentation Techniques for Deep Learning
Mingle Xu, Sook Yoon, Alvaro Fuentes, Dong Sun Park
Self-challenging Improves Cross-Domain Generalization
Zeyi Huang, Haohan Wang, Eric P. Xing, Dong Huang
SpotTune: Transfer Learning Through Adaptive Fine-Tuning
Yunhui Guo, Honghui Shi, Abhishek Kumar, Kristen Grauman, Tajana Rosing, Rogério Feris
Where is Domain Adaptation and Few-Shot Learning research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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How much of the research on Domain Adaptation and Few-Shot Learning is open access?
ScholarIQopen access share
33%OPEN ACCESS