Gauge symmetry

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papersTODAY 04:00 UTC

Initial Weight Scale Found to Control Feature Specialization in ReLU Networks

A research paper examines how the scale of a network's initial weights influences which features individual ReLU neurons end up learning during training. The authors argue that this initialization-dependent effect, framed as a hidden gauge, helps explain why trained networks organize representations the way they do.

research/neural-networks/training/arxiv