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Siamesexml: Siamese Networks Meet Extreme Classifiers With 100m Labels
INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 139, (2021): 2330-2340
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Abstract
Deep extreme multi-label learning (XML) requires training deep architectures that can tag a data point with its most relevant subset of labels from an extremely large label set. XML applications such as ad and product recommendation involve labels rarely seen during training but which nevertheless hold the key to recommendations that deli...More
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