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Shi Huihong

1 accepted papers

2022

ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks

ICML 2022spotlight

Neural networks (NNs) with intensive multiplications (e.g., convolutions and transformers) are powerful yet power hungry, impeding their more extensive deployment into resource-constrained edge devices. As such, multiplication-free networks, which follow a common practice in energy-efficient hardwar…