The authors introduce softplus-calibrated adaptive learning rates (Sadam and SAMSGrad) and argue, with flawed proofs, that these converge faster and generalize better than Adam.
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Calibrating the Adaptive Learning Rate to Improve Convergence of ADAM
The authors introduce softplus-calibrated adaptive learning rates (Sadam and SAMSGrad) and argue, with flawed proofs, that these converge faster and generalize better than Adam.