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Activation-Keyed Momentum: An Anisotropic Momentum Update via the Delta Rule
Most modern optimizers form their momentum as an exponential moving average (EMA) of past gradients, forgetting every direction at one fixed rate. However, the inputs a deep network sees during training can be highly anisotropic, with a few directions queried frequently while most are seen rarely. P
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