Representation learning
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Contrastive Learning Intuition: InfoNCE, Temperature, Alignment and Uniformity
What the InfoNCE loss actually optimizes, why the temperature matters, and a NumPy experiment that trains a two-dimensional embedding with a hand-derived gradient and shows the before and after.
