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Found 2 papers, 1 papers with code
Dynamically Scaled Temperature in Self-Supervised Contrastive Learning
In contemporary self-supervised contrastive algorithms like SimCLR, MoCo, etc., the task of balancing attraction between two semantically similar samples and repulsion between two samples of different classes is primarily affected by the presence of hard negative samples.
BYOLMed3D: Self-Supervised Representation Learning of Medical Videos using Gradient Accumulation Assisted 3D BYOL Framework
Supervised Learning algorithms require a large volumes of balanced data to learn robust representations.
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