Phase-HDC replaces optimizer history with gradient thresholds in discrete phase learning
Read the original at arxiv.org→arXiv:2610.10630v1 Announce Type: new Abstract: Training a compact model often needs far more memory than storing it, because the optimizer keeps its own records of past gradients. For a hyperdimensional classifier...
Original headline: "Phase-HDC: Replacing Optimizer History with Gradient Thresholds in Discrete Phase Learning"
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- Oct 9, 04:00 UTC arXiv cs.LG lead source Phase-HDC: Replacing Optimizer History with Gradient Thresholds in Discrete Phase Learning