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cs.LG2025
Semi-Supervised Contrastive Learning with Orthonormal Prototypes
Huanran Li, Manh Nguyen, Daniel Pimentel-Alarcón
Contrastive learning has emerged as a powerful method in deep learning, excelling at learning effective representations through contrasting samples from different distributions. Ho…
cs.LG2025
Nonnegative Matrix Factorization through Cone Collapse
Manh Nguyen, Daniel Pimentel-Alarcón
Nonnegative matrix factorization (NMF) is a widely used tool for learning parts-based, low-dimensional representations of nonnegative data, with applications in vision, text, and b…