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Generalized Zero-Shot Extreme Multi-label Learning

KDD '21: PROCEEDINGS OF THE 27TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING, pp.527-535, (2021)

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Extreme Multi-label Learning (XML) involves assigning the subset of most relevant labels to a data point from millions of label choices. A hitherto unaddressed challenge in XML is that of predicting unseen labels with no training points. These form a significant fraction of total labels and contain fresh and personalized information desir...More

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Sakina Bohra
Sakina Bohra
Saurabh Purohit
Saurabh Purohit
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