We present a new approach for transferring knowledge from groups to individuals that comprise them. We evaluate our method in text, by inferring the ratings of individual sentences using full-review ratings. This approach, which combines ideas from transfer learning, deep learning and multi-instance learning, reduces the need for laborious human labelling of fine-grained data when abundant labels are available at the group level.
@article{arxiv.1411.3128,
title = {Deep Multi-Instance Transfer Learning},
author = {Dimitrios Kotzias and Misha Denil and Phil Blunsom and Nando de Freitas},
journal= {arXiv preprint arXiv:1411.3128},
year = {2014}
}