Author

Yu-Fa Feng

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#machine learning Preprint Sep 2026

VCMM: Variance-Calibrated Momentum for Multimodal Learning

Variance-Calibrated MomentuM is proposed, which adapts gradient memory to modality-specific gradient dynamics and applies exact bias correction for the time-varying first moment, enabling adaptive gradient memory without extra network passes or explicit learning-rate scaling.

Zhong-Jing Gu, Chen-Yang Huang, Yu-Fa Feng et al. · 0 citations