---
# System prepended metadata

title: Untitled

---

## Baseline
1. [Zoo-Tuning: Adaptive Transfer from a Zoo of Models](https://www.semanticscholar.org/reader/f07b2e5b0c0f0f52f44a2926f17a27de3db0b780) 
2. [Model soups](https://proceedings.mlr.press/v162/wortsman22a.html)
3. [ <font color='red'>Deep Ensembles for Low-Data Transfer Learning</font>  ](https://arxiv.org/abs/2010.06866)
4. [ <font color='red'>Transfer learning for ensembles: reducing computation time and keeping the diversity</font>](https://arxiv.org/abs/2206.13116)
5. [Learning New Tricks From Old Dogs: Multi-Source Transfer Learning From Pre-Trained Networks](https://proceedings.neurips.cc/paper/2019/hash/6048ff4e8cb07aa60b6777b6f7384d52-Abstract.html)
6. [Knowledge flow: Improve upon your teachers](https://arxiv.org/abs/1904.05878)
