Local case-control sampling

Sat, 18 Jul 2026 10:05:43 +0000

Definition

Local case-control sampling is a strategy used primarily in training contrastive learning models or recommendation systems. Instead of randomly selecting negative samples, it identifies ‘hard negatives’—data points that are semantically similar to the positive instance but belong to a different class. By focusing on these difficult cases, the model learns more robust feature representations and improves discrimination capabilities, leading to better convergence and performance compared to random sampling methods.

Contrastive Learning on English AI Terms Dictionary

Local case-control sampling

Definition