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Unraveling Projection Heads in Contrastive Learning: Insights from Expansion and Shrinkage
Firstly, through empirical and theoretical analysis, we identify two crucial effects -- expansion and shrinkage -- induced by the contrastive loss on the projectors.
Neural Gaussian Mirror for Controlled Feature Selection in Neural Networks
Deep neural networks (DNNs) have become increasingly popular and achieved outstanding performance in predictive tasks.
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