Papers with hyperbolic capsules

1 papers
Hyperbolic Capsule Networks for Multi-Label Classification (2020.acl-main)

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Challenge: Existing methods for classification of labels are limited by feature aggregation and encoding.
Approach: They propose to use hyperbolic capsule networks to capture fine-grained label information . they also propose a new routing method to adaptively adjust capsule number during routing .
Outcome: The proposed method significantly improves the performance of multi-label classification on tail labels.

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