Dropout dynamics in two-layer online SGD learners are captured by closed ODEs, yielding analytic optimal dropout rates that increase with label noise.
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Analytic theory of dropout regularization
Dropout dynamics in two-layer online SGD learners are captured by closed ODEs, yielding analytic optimal dropout rates that increase with label noise.