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ENTITY Balanced Adaptive Prototype Selection

Balanced Adaptive Prototype Selection

PulseAugur coverage of Balanced Adaptive Prototype Selection — every cluster mentioning Balanced Adaptive Prototype Selection across labs, papers, and developer communities, ranked by signal.

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  1. TOOL · CL_200161 ·

    New framework boosts TabPFN inference for large tabular datasets

    Researchers have developed a new framework called Balanced Adaptive Prototype Selection (BAPS) to improve the scalability of Pretrained Tabular Foundation Models (TabPFN) for large datasets. BAPS constructs compressed, …