2 papers
cs.LG2026
Learning from Similarity-Confidence and Confidence-Difference
Tomoya Tate, Kosuke Sugiyama, Masato Uchida
In practical machine learning applications, it is often challenging to assign accurate labels to data, and increasing the number of labeled instances is often limited. In such case…
cs.LG2026
Learning from Similarity/Dissimilarity and Pairwise Comparison
Tomoya Tate, Kosuke Sugiyama, Masato Uchida
This paper addresses binary classification in scenarios where obtaining explicit instance level labels is impractical, by exploiting multiple weak labels defined on instance pairs.…