48 search results - page 4 / 10 » Transfer Learning by Distribution Matching for Targeted Adve... |
118
Voted
CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
Cross-domain learning methods have shown promising
results by leveraging labeled patterns from auxiliary domains
to learn a robust classifier for target domain, which
has a limi...
ACL
2008
14 years 11 months ago
2008
We present a novel hierarchical prior structure for supervised transfer learning in named entity recognition, motivated by the common structure of feature spaces for this task acr...
96
Voted
PKDD
2010
Springer
14 years 8 months ago
2010
Springer
Abstract. One solution to the lack of label problem is to exploit transfer learning, whereby one acquires knowledge from source-domains to improve the learning performance in the t...
94
Voted
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
Standard inductive learning requires that training and test instances come from the same distribution. Transfer learning seeks to remove this restriction. In shallow transfer, tes...
132
click to vote
CVPR
2012
IEEE
12 years 12 months ago
2012
IEEE
ImageNet is a large-scale database of object classes with millions of images. Unfortunately only a small fraction of them is manually annotated with bounding-boxes. This prevents ...