Mitigating data bias and ensuring reliable evaluation of AI models with shortcut hull learning
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This repository contains supporting materials for the paper "Mitigating data bias and ensuring reliable evaluation of AI models with shortcut hull learning". It includes: - Topological datasets used in our experiments - Pretrained model weights trained on this dataset - Code for Topological Dataset and Shortcut Hull Learning These resources are provided to support reproducibility and facilitate further research. For usage instructions, please refer to the accompanying code repository or the original publication.
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figshare创建时间：
2025-07-02
