arxiv
PublishedSeptember 2, 2026 at 4:00 AM
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Beyond Dense Adam States: Adaptive Log-Space Quantization for Memory-Efficient Optimizers
Publisher summary· verbatim
arXiv:2608.22322v3 Announce Type: replace Abstract: Optimizer-state quantization is commonly designed for Adam's dense, parameter-aligned first- and second-moment arrays. This abstraction breaks for memory-efficient optimizers, whose states may be factored, confidence-modulated, or maintained in a p
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Originally published on arxiv ↗