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20212026
most citedLearning the Relation between Similarity Loss and Clustering Loss in Self-Supervised Learning

11 citations · 11 across the 3 of their papers we have counts for

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cs.LG2026

Robust and sparse support vector machine via hybrid truncated loss for supervised classification

Yuliang Yang, Chen Chen, Yuxiang Liu +1

The support vector machine (SVM) is a widely used classifier, but choosing an appropriate loss function remains difficult. Convex losses such as the hinge loss and least-squares lo…