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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 0Source ↗Scholar ↗
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 5Source ↗PDF ↗Scholar ↗