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cs.LG2025
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.LG2025
Learning from Hard Labels with Additional Supervision on Non-Hard-Labeled Classes
Kosuke Sugiyama, Masato Uchida
In scenarios where training data is limited due to observation costs or data scarcity, enriching the label information associated with each instance becomes crucial for building hi…