TY - GEN
T1 - Hierarchical active transfer learning
AU - Kale, David
AU - Ghazvininejad, Marjan
AU - Ramakrishna, Anil
AU - He, Jingrui
AU - Liu, Yan
N1 - Publisher Copyright:
Copyright © SIAM.
PY - 2015
Y1 - 2015
N2 - We describe a unified active transfer learning framework called Hierarchical Active Transfer Learning (HATL). HATL exploits cluster structure shared between different data domains to perform transfer learning by imputing labels for unlabeled target data and to generate effective label queries during active learning. The resulting framework is flexible enough to perform not only adaptive transfer learning and accelerated active learning but also unsupervised and semi-supervised transfer learning. We derive an intuitive and useful upper bound on HATL's error when used to infer labels for unlabeled target points. We also present results on synthetic data that confirm both intuition and our analysis. Finally, we demonstrate HATL's empirical effectiveness on a benchmark data set for sentiment classification.
AB - We describe a unified active transfer learning framework called Hierarchical Active Transfer Learning (HATL). HATL exploits cluster structure shared between different data domains to perform transfer learning by imputing labels for unlabeled target data and to generate effective label queries during active learning. The resulting framework is flexible enough to perform not only adaptive transfer learning and accelerated active learning but also unsupervised and semi-supervised transfer learning. We derive an intuitive and useful upper bound on HATL's error when used to infer labels for unlabeled target points. We also present results on synthetic data that confirm both intuition and our analysis. Finally, we demonstrate HATL's empirical effectiveness on a benchmark data set for sentiment classification.
UR - http://www.scopus.com/inward/record.url?scp=84961943273&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84961943273&partnerID=8YFLogxK
U2 - 10.1137/1.9781611974010.58
DO - 10.1137/1.9781611974010.58
M3 - Conference contribution
AN - SCOPUS:84961943273
T3 - SIAM International Conference on Data Mining 2015, SDM 2015
SP - 514
EP - 522
BT - SIAM International Conference on Data Mining 2015, SDM 2015
A2 - Venkatasubramanian, Suresh
A2 - Ye, Jieping
PB - Society for Industrial and Applied Mathematics Publications
T2 - SIAM International Conference on Data Mining 2015, SDM 2015
Y2 - 30 April 2015 through 2 May 2015
ER -