Deep Multi-Instance Transfer Learning
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 12 Nov 2014.
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