StablePFN is proposed, a novel tabular foundation model that integrates explicit causal awareness with stable predictive modeling and significantly outperforms state-of-the-art baselines in cross-environment prediction settings, particularly in challenging high-bias scenarios.
Zheng Guan, Yikang Chen, Hao Qian et al.· Proceedings of the 32nd ACM...· 0 citations
EndoCLIP, a colonoscopy vision-language foundation model trained on 125,756 lesion-level image-text pairs progressively recovered from 280,476 routine colonoscopy records, is developed, suggesting that recovering finding-to-frame correspondence can transform routine documentation into scalable supervision, enabling cli...
Jia Yu, Yan Zhu, Yili He et al.· arXiv.org· 0 citations
Pre-trained tabular prediction models based on Prior-Data Fitted Networks (PFNs), such as TabPFN and LimiX, have achieved remarkable progress in supervised learning, demonstrating immense potential across real-world scenarios and diverse downstream tasks. However, a critical question remains systematically unexplored:...
Zheng Guan, Yikang Chen, Hao Qian et al.· Proceedings of the 32nd ACM...· 0 citations
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