1 citations · 1 across the 6 of their papers we have counts for
4 papers · 1 filter
High Rank Matrix Completion via Grassmannian Proxy Fusion
Huanran Li, Jeremy Johnson, Daniel Pimentel-Alarcón
This paper approaches high-rank matrix completion (HRMC) by filling missing entries in a data matrix where columns lie near a union of subspaces, clustering these columns, and iden…
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…
Preventing Collapse in Contrastive Learning with Orthonormal Prototypes (CLOP)
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…
Deep Fusion: Capturing Dependencies in Contrastive Learning via Transformer Projection Heads
Huanran Li, Daniel Pimentel-Alarcón
Contrastive Learning (CL) has emerged as a powerful method for training feature extraction models using unlabeled data. Recent studies suggest that incorporating a linear projectio…