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SOAR: Smooth Online Activation Routing for Stable Neural Learning from Evolving Streams
Online neural learning requires models that update after each incoming example, remain calibrated under distributional change, and avoid brittle gradient transmission. The original version of this work used a small static benchmark, a shallow model, few random seeds, and no signi…
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