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SURGE: Surrogate Gradient Adaptation in Binary Neural Networks

arXiv cs.LG · 17h ago Cached

This paper introduces SURGE, a novel learnable gradient compensation framework for training Binary Neural Networks that addresses gradient mismatch and information loss issues found in traditional methods like the Straight-Through Estimator.

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