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Found 2 papers, 1 papers with code
Learning from True-False Labels via Multi-modal Prompt Retrieving
Weakly supervised learning has recently achieved considerable success in reducing annotation costs and label noise.
Determined Multi-Label Learning via Similarity-Based Prompt
In this novel labeling setting, each training instance is associated with a \textit{determined label} (either "Yes" or "No"), which indicates whether the training instance contains the provided class label.
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