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 Supervised Learning


LiftingWeakSupervisionToStructuredPrediction

Neural Information Processing Systems

For labels taking values in a finite metric space, we introduce techniques new to weak supervision based on pseudo-Euclidean embeddings andtensor decompositions, providing anearly-consistent noise rate estimator.










Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones

Neural Information Processing Systems

Hierarchical relations are prevalent and indispensable for organizing human knowledge captured by a knowledge graph (KG). The key property of hierarchical relations is that they induce a partial ordering over the entities, which needs to be modeled in order to allow for hierarchical reasoning.