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ENTITY Multi-Instance Partial-Label Learning

Multi-Instance Partial-Label Learning

PulseAugur coverage of Multi-Instance Partial-Label Learning — every cluster mentioning Multi-Instance Partial-Label Learning across labs, papers, and developer communities, ranked by signal.

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    New Calibratable Disambiguation Loss Improves AI Classifier Reliability

    Researchers have introduced a new method called Calibratable Disambiguation Loss (CDL) to improve the reliability of classifiers in Multi-Instance Partial-Label Learning (MIPL) tasks. This plug-and-play loss function en…