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In-Context Multiple Instance Learning

Alexander M\"ollers, Marvin Sextro, Julius Hense, Gabriel Dernbach, Klaus-Robert M\"uller
Jun 5, 2026 at 04:00
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arXiv:2606.06458v1 Announce Type: cross Abstract: Multiple Instance Learning (MIL) addresses problems where supervision is available at the level of bags of instances and has been successfully applied in fields ranging from computational pathology to satellite imagery. Nevertheless, existing algorithms struggle in the low-label regime that...

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