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announcement

A Self-Attentive Meta-Optimizer with Group-Adaptive Learning Rates and Weight Decay

May 7, 2026Meta AI
Event Summary

arXiv:2605.04055v1 Announce Type: new Abstract: Adaptive optimizers like AdamW apply uniform hyperparameters across all parameter groups, ignoring heterogeneous optimization dynamics across layers and modules. We address this limitation by proposing MetaAdamW - a new optimizer that integrates a self

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