Soft sparsity via MSB proxy skips negligible multiplications in CNNs, reducing ReLU MACs 88% and Tanh MACs 75% on LeNet-5 with zero accuracy loss.
Han et al., ”EIE: Efficient inference engine on compressed deep neural network,” inProc
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Hardware Efficient Approximate Convolution with Tunable Error Tolerance for CNNs
Soft sparsity via MSB proxy skips negligible multiplications in CNNs, reducing ReLU MACs 88% and Tanh MACs 75% on LeNet-5 with zero accuracy loss.