[ICLR 2024]PTaRL: Prototype-based Tabular Representation Learning via Space Calibration

Links: [OpenReview]

📥 Contact Email Update: Please use yeht22@mails.jlu.edu.cn for all future communications. The previous email (yeht2118@mails.jlu.edu.cn) is no longer active.

📚 Instructions

Run PTaRL with MLP as backbone on CA and JA datasets by:

• python train_final_version.py --model_type MLP_ot --dataname california_housing
• python train_final_version.py --model_type MLP_ot --dataname jannis

🤗 Citing the paper

If our work is useful for your own, you can cite us with the following BibTex entry:

@inproceedings{
ye2024ptarl,
title={{PT}a{RL}: Prototype-based Tabular Representation Learning via Space Calibration},
author={Hangting Ye and Wei Fan and Xiaozhuang Song and Shun Zheng and He Zhao and Dan dan Guo and Yi Chang},
booktitle={The Twelfth International Conference on Learning Representations},
year={2024},
url={https://openreview.net/forum?id=G32oY4Vnm8}
}