Moment-Guided Optimizers for noisy deep learning: MGO-SC as a simple consistency gate for Adam-style updates
Read the original at arxiv.org→arXiv:2610.37712v1 Announce Type: new Abstract: Adaptive optimizers are widely used in deep learning, yet their behavior can degrade under heavy stochasticity and label noise where the sign and magnitude of...
Original headline: "Moment-Guided Optimizers for Noisy Deep Learning: MGO-SC as a Simple Consistency Gate for Adam-Style Updates"
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- Oct 30, 04:00 UTC arXiv cs.LG lead source Moment-Guided Optimizers for Noisy Deep Learning: MGO-SC as a Simple Consistency Gate for Adam-Style Updates