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cs.CV2024★ 1 cited
From Prototypes to General Distributions: An Efficient Curriculum for Masked Image Modeling
Jinhong Lin, Cheng-En Wu, Huanran Li +3
Masked Image Modeling (MIM) has emerged as a powerful self-supervised learning paradigm for visual representation learning, enabling models to acquire rich visual representations b…
cs.LG2024
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…
cs.LG2024
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…