# Deep Multi-Instance Transfer Learning

arXiv: https://arxiv.org/abs/1411.3128 · HTML: https://mlsanity.com/paper/1411.3128/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 12 Nov 2014.

## Built on by (most cited first, 1 of 1)

- [Multi-View Attention Multiple-Instance Learning Enhanced by LLM Reasoning for Cognitive Distortion Detection](https://mlsanity.com/paper/2509.17292/) (2025)

## 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.