Reproducibility in Multiple Instance Learning: A Case For Algorithmic Unit Tests

Feb-9-2026, 11:39:18 GMT–Neural Information Processing Systems

They are able to learn anti-correlated instances, i.e., defaulting to "positive" labels until seeing a negative counter-example, which should not be possible for a correct MIL model.

artificial intelligence, machine learning, natural language, (13 more...)

Neural Information Processing Systems

Feb-9-2026, 11:39:18 GMT

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