ROME is Forged in Adversity: Robust Distilled Datasets via Information Bottleneck

Zheng Zhou, Wenquan Feng, Qiaosheng Zhang, Shuchang Lyu, Qi Zhao +1 more
2/14/2026

No official code found. Best implementation: zhouzhengqd/ROME (9 stars, last commit 2025-07-01). 1 more below.

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ROME is Forged in Adversity: Robust Distilled Datasets via Information Bottleneck (ICML 2025)

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@article{zhou2026rome,
  title  = {ROME is Forged in Adversity: Robust Distilled Datasets via Information Bottleneck},
  author = {Zheng Zhou and Wenquan Feng and Qiaosheng Zhang and Shuchang Lyu and Qi Zhao and Guangliang Cheng},
  year   = {2026},
  url    = {https://api.semanticscholar.org/CorpusID:52014b3ddf877fb14f9ad3325307184da08eebb4},
  journal = {ICML 2025 2025}
}

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