Goto

Collaborating Authors

 Inductive Learning





How to Select Which Active Learning Strategy is Best Suited for Y our Specific Problem and Budget Guy Hacohen, Daphna Weinshall School of Computer Science & Engineering

Neural Information Processing Systems

In the traditional supervised learning framework, active learning enables the learner to actively engage in the construction of the labeled training set by selecting a fixed-sized subset of unlabeled examples for labeling by an oracle, where the number of labels requested is referred to as the budget .






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.


ProvablyConsistentPartial-LabelLearning

Neural Information Processing Systems

Partial-label learning(PLL) is a multi-class classification problem, where each training example isassociated withasetofcandidate labels.