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[D] Besides decaying learning rate and increasing batchsize: Decay momentum? Decay droprate? Increase L2 regularization?

Decaying learning rate is a popular practice even for adaptive optimizers such as Adam. Increasing batchsize was also shown to have the same effect.
But there are other hyperparameters with similar nature.
– Does it make sense to decay/increase them?
– Have anyone tried decaying momentum, or decaying droprate, or increasing L2 regularization?
– Are there other hyperparameters that need tuning like this?

submitted by /u/thntk
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.