Generative Data Augmentation via Diffusion Distillation, Adversarial Alignment and Importance Reweighting

Ruyi An  Haicheng Huang  Hunagjie Zheng  Mingyuan Zhou

🎈 NeurIPS 2025

• [pdf] •

📮 News

• Dec. 2024: We released the code.
• Oct. 2024: Our paper is accepted at NeurIPS 2025. We will release the code in due time. Stay tuned!

🔝 Citation

If you find our work useful for your research, kindly consider citing our paper:

@inproceedings{hier_rep_rl,
  title={Generative Data Augmentation via Diffusion Distillation, Adversarial Alignment and Importance Reweighting},
  author={An, Ruyi and Huang, Haicheng and Zheng, Huangjie and Zhou, Mingyuan},
  booktitle={{NeurIPS}},
  year={2025}
}

🖖 Acknowledgement

This implementation is based on the following repositories:

• pytorch-cifar
• vision

🫡 Salute!

☎️ Contact

Please feel free to reach us out at ran003😎ntu.edu.sg should you need any help.