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.

Journals publishing in this area

1

Neurocomputing

ISSN 0925-23121,246 articles in this topic

253h-index

4.10Impact

26.9KArticles

791.9KCitations

2

Pattern Recognition

ISSN 0031-3203952 articles in this topic

300h-index

5.49Impact

15.9KArticles

723.2KCitations

3

IEEE Transactions on Pattern Analysis and Machine Intelligence

ISSN 0162-8828882 articles in this topic

547h-index

11.13Impact

12.1KArticles

1.8MCitations

4

IEEE Transactions on Image Processing

ISSN 1057-7149653 articles in this topic

391h-index

7.56Impact

12.8KArticles

1MCitations

5

Neural Networks

ISSN 0893-6080606 articles in this topic

246h-index

4.61Impact

9.8KArticles

469.1KCitations

6

International Journal of Computer Vision

International Journal of Computer Vision

ISSN 0920-5691359 articles in this topic

287h-index

7.72Impact

3.8KArticles

581.8KCitations

7

Machine Learning

Machine Learning

ISSN 0885-6125197 articles in this topic

260h-index

2.73Impact

3.9KArticles

620.6KCitations

8

Neural Computation

ISSN 0899-766781 articles in this topic

247h-index

2.31Impact

3.8KArticles

491.1KCitations