EMEA
Entropy Minimized Ensemble of Adapters
**Entropy Minimized Ensemble of Adapters**, or **EMEA**, is a method that optimizes the ensemble weights of the pretrained language adapters for each test sentence by minimizing the entropy of its predictions. The intuition behind the method is that a good [adapter](https://paperswithcode.com/method/adapter) weight $\alpha$ for a test input $x$ should make the model more confident in its prediction for $x$, that is, it should lead to lower model entropy over the input
Efficient Test Time Adapter Ensembling for Low-resource Language Varieties
https://paperswithcode.com/paper/efficient-test-time-adapter-ensembling-for
Efficient Test Time Adapter Ensembling for Low-resource Language Varieties