Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning Wei T ang

Neural Information Processing Systems 

In many real-world tasks, the concerned objects can be represented as a multi-instance bag associated with a candidate label set, which consists of one ground-truth label and several false positive labels.

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