Hands-on Tutorial of Deep Imbalanced Regression

This is a hands-on tutorial for Delving into Deep Imbalanced Regression [Paper].

@inproceedings{yang2021delving,
  title={Delving into Deep Imbalanced Regression},
  author={Yang, Yuzhe and Zha, Kaiwen and Chen, Ying-Cong and Wang, Hao and Katabi, Dina},
  booktitle={International Conference on Machine Learning (ICML)},
  year={2021}
}

In this notebook, we will provide a hands-on tutorial for DIR on a small-scale dataset, Boston Housing dataset, as a quick overview on how to perform practical (deep) imbalanced regression on custom datasets.

You can directly open it via Colab: , or using jupyter notebook with the following instructions.

Required packages:

pip install --upgrade pip
pip install --upgrade jupyter notebook

Then, please clone this repository to your computer using:

git clone https://github.com/YyzHarry/imbalanced-regression.git

After cloning is finished, you may go to the directory of this tutorial and run

jupyter notebook --port 8888

to start a jupyter notebook and access it through the browser. Finally, let's explore the notebook tutorial.ipynb prepared by us!