C-Adapter: Adapting Deep Classifiers for Efficient Conformal Prediction Sets

This repository contains the official implementation of "C-Adapter: Adapting Deep Classifiers for Efficient Conformal Prediction Sets".

How to Install

git clone https://github.com/J4ckLiu/CADA.git
cd CADA
conda env create -f environment.yml
conda activate cada

How to Run

cd examples
python tune_cifar.py --seed 42 --model densenet121
python test_cifar.py --seed 42 --model densenet121 --alpha 0.01 --conformal thr

Citation

If you find this work useful, please cite:

@inproceedings{Liu2026CADA,
  title     = {C-Adapter: Adapting Deep Classifiers for Efficient Conformal Prediction Sets},
  author    = {Liu, Kangdao and Zeng, Hao and Huang, Jianguo and Zhuang, Huiping and Vong, Chi-Man and Wei, Hongxin},
  booktitle = {Proceedings of the 28th European Conference on Artificial Intelligence},
  year      = {2026}
}