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PerNodeDrop: A Method Balancing Specialized Subnets and Regularization in Deep Neural Networks
Deep neural networks possess strong representational capacity yet remain vulnerable to overfitting, primarily because neurons tend to co-adapt in ways that, while capturing complex and fine-grained feature interactions, also reinforce spurious and non-generalizable patterns that inflate training per
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