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Hans U. Simon

2 accepted papers

2025

Formal Models of Active Learning from Contrastive Examples

NeurIPS 2025poster

Machine learning can greatly benefit from providing learning algorithms with pairs of contrastive training examples---typically pairs of instances that differ only slightly, yet have different class labels. Intuitively, the difference in the instances helps explain the difference in the class labels…

Cited by 0SourceScholar
2022

On Batch Teaching with Sample Complexity Bounded by VCD

NeurIPS 2022accept

In machine teaching, a concept is represented by (and inferred from) a small number of labeled examples. Various teaching models in the literature cast the interaction between teacher and learner in a way to obtain a small complexity (in terms of the number of examples required for teaching a concep…

Cited by 5SourcePDFScholar