README.md

Neat 🧼

Nonlinear Parameter-efficient Adaptation of Pre-trained Models

TL;DR: NEAT is a novel PEFT method that uses a lightweight neural network to directly model cumulative weight updates for adaptation targets and capture intricate and non-coherent structures.

The experiment setups are located in each subfolder.