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[PDF][PDF] Implicit Relative Labeling-Importance Aware Multi-Label Metric Learning
Multi-label metric learning, as an extension of metric learning to multi-label scenarios, aims
to learn better similarity metrics for objects with rich semantics. Existing multi-label metric …
to learn better similarity metrics for objects with rich semantics. Existing multi-label metric …
Learning the eye of the beholder: Statistical modeling and estimation for personalized color perception
X Chen, A Xu, J Wang… - 2024 60th Annual Allerton …, 2024 - ieeexplore.ieee.org
Color perception has long remained an in-triguing topic spanning vision and cognitive
science, signal processing, and computer graphics. People are often classified as either …
science, signal processing, and computer graphics. People are often classified as either …
[PDF][PDF] LEARNING WITH AND WITHOUT HUMAN FEEDBACK
AS Xu - 2024 - austinxu87.github.io
In this chapter 1, we show that the expressiveness of an extremely simple query, the paired
comparison, is much greater than established in previous work. In the context of human …
comparison, is much greater than established in previous work. In the context of human …