Deep Multi-Instance Transfer Learning
  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. 
Dimitrios Kotzias, Misha Denil, Phil Blunsom, Nando de Freitas
cs.LG stat.ML