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Weight Decay and Neuron Condensation: A Three-Stage Analysis of Two-Layer ReLU Networks
Weight decay is widely used as a regularization technique in neural network training, yet its role in neuron condensation (parameter direction alignment) remains unclear. Starting from a parameter initialization in the neural tangent kernel regime, we characterize training dynamics under weight deca
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