NeurIPS 2019poster100 citations
On the Value of Target Data in Transfer Learning
Abstract
We aim to understand the value of additional labeled or unlabeled target data in transfer learning, for any given amount of source data; this is motivated by practical questions around minimizing sampling costs, whereby, target data is usually harder or costlier to acquire than source data, but can yield better accuracy.
BibTeX
@inproceedings{NEURIPS2019_b91f4f4d,
author = {Hanneke, Steve and Kpotufe, Samory},
booktitle = {Advances in Neural Information Processing Systems},
editor = {H. Wallach and H. Larochelle and A. Beygelzimer and F. d\textquotesingle Alch\'{e}-Buc and E. Fox and R. Garnett},
pages = {},
publisher = {Curran Associates, Inc.},
title = {On the Value of Target Data in Transfer Learning},
url = {https://proceedings.neurips.cc/paper_files/paper/2019/file/b91f4f4d36fa98a94ac5584af95594a0-Paper.pdf},
volume = {32},
year = {2019}
}