16 citations · 19 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 3 cited
ApproxDARTS: Differentiable Neural Architecture Search with Approximate Multipliers
Michal Pinos, Lukas Sekanina, Vojtech Mrazek
Integrating the principles of approximate computing into the design of hardware-aware deep neural networks (DNN) has led to DNNs implementations showing good output quality and hig…
cs.NE2021★ 16 cited
Evolutionary Neural Architecture Search Supporting Approximate Multipliers
Michal Pinos, Vojtech Mrazek, Lukas Sekanina
There is a growing interest in automated neural architecture search (NAS) methods. They are employed to routinely deliver high-quality neural network architectures for various chal…