most citedPower-of-Two Quantization for Low Bitwidth and Hardware Compliant Neural Networks

16 citations · 16 across the 1 of their papers we have counts for

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1 paper

cs.LG2022★ 16 cited

Power-of-Two Quantization for Low Bitwidth and Hardware Compliant Neural Networks

Dominika Przewlocka-Rus, Syed Shakib Sarwar, H. Ekin Sumbul +2

Deploying Deep Neural Networks in low-power embedded devices for real time-constrained applications requires optimization of memory and computational complexity of the networks, us…