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cs.NE2021
Evolutionary Algorithms in Approximate Computing: A Survey
Lukas Sekanina
In recent years, many design automation methods have been developed to routinely create approximate implementations of circuits and programs that show excellent trade-offs between…
cs.NE2021
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…