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[AAAI 2026] Unleashing the Power of Image-Tabular Self-Supervised Learning via Breaking Cross-Tabular Barriers

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[AAAI 2026] Unleashing the Power of Image-tabular Self-supervised Learning via Breaking Cross-tabular Barriers

Yibing Fu¹, Yunpeng Zhao¹, Zhitao Zeng¹, Cheng Chen², Yueming Jin¹

¹ National University of Singapore
² The University of Hong Kong

TIP

This is an official PyTorch implementation for Unleashing the Power of Image-tabular Self-supervised Learning via Breaking Cross-tabular Barriers, AAAI 2026.

Contact: yibingfu@u.nus.edu (Yibing Fu)

Share us a ⭐ if this repository does help.

Updates

[10/11/2025] The repository is initialized.

[20/01/2026] Code released

Lisence

This repository is licensed under the Apache License, Version 2.

Instructions

Pre-training

bash pretrain.sh

Downstream Fine-tuning

bash finetune.sh

Citation

If you find this project helpful in your research, please consider citing our papers:

@article{fu2025unleashing,
  title={Unleashing the Power of Image-Tabular Self-Supervised Learning via Breaking Cross-Tabular Barriers},
  author={Fu, Yibing and Zhao, Yunpeng and Zeng, Zhitao and Chen, Cheng and Jin, Yueming},
  journal={arXiv preprint arXiv:2512.14026},
  year={2025}
}

Acknowledgements

We would like to thank the following repositories for their great works:

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