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cs.AI2026
New Insight of Variance reduce in Zero-Order Hard-Thresholding: Mitigating Gradient Error and Expansivity Contradictions
Xinzhe Yuan, William de Vazelhes, Bin Gu +1
Hard-thresholding is an important type of algorithm in machine learning that is used to solve constrained optimization problems. However, the true gradient of the objectiv…
cs.AI2024
FTBC: Forward Temporal Bias Correction for Optimizing ANN-SNN Conversion
Xiaofeng Wu, Velibor Bojkovic, Bin Gu +2
Spiking Neural Networks (SNNs) offer a promising avenue for energy-efficient computing compared with Artificial Neural Networks (ANNs), closely mirroring biological neural processe…