BECAME

July 4, 2025 · View on GitHub

Official code for the paper "BECAME: BayEsian Continual Learning with Adaptive Model MErging" (ICML 2025).

Setup

Dependencies

To set up the Python environment, run:

conda env create -f environment.yaml

Datasets

CIFAR-100
The CIFAR-100 dataset will be automatically downloaded when running the code.

MiniImageNet
Please manually download the following files and place them in the appropriate directory:

Training data
Test data

TinyImageNet
Download the dataset from its official website.

Usage

The code supports two types of experiments: GPM-based and NSCL-based.
Navigate to the corresponding directory and run:

cd GPM-based  # or cd NSCL-based
bash scripts/run.sh

Citation

@inproceedings{li2025became,
  title     = {BECAME: BayEsian Continual Learning with Adaptive Model MErging},
  author    = {Li, Mei and Lu, Yuxiang and Dai, Qinyan and Huang, Suizhi and Ding, Yue and Lu, Hongtao},
  booktitle = {International Conference on Machine Learning},
  year      = {2025}
}