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Estimating Implicit Regularization in Deep Learning

Gradient matching methods empirically estimate implicit regularization in deep networks, recovering explicit penalties and revealing dropout's implicit L2 effects.

Joseph H Rudoler, Kevin Tan, Giles Hooker, Konrad Kording

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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