arXiv cs.NE
· Papers
Threshold-Based Early Stopping of Accumulations in Neural Networks with Binary Activation
arXiv:2608.06177v1 Announce Type: cross Abstract: Binary neural networks are very attractive for constrained deployment, enabling small footprint and low-power inference. For binary activations, the dot products become sign-controlled additions or subtractions, but the number of operations is unchanged. Indeed, every n