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Results tagged with adam
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user 314753
An adaptive algorithm for gradient-based optimization of stochastic objective functions, often used to train deep neural networks.
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Momentum vs Polyak averaging
related paper (2020 Granziol D, Wan X, Roberts S) Gadam: Combining Adaptivity with Iterate Averaging Gives Greater Generalisation that probably provides an answer:
We introduce Gadam, which combines Adam … To confirm this, note that Adam also includes a momentum term and it can be used in conjunction with Polyak averaging according the aforementioned paper. …
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