84 citations · 147 across the 29 of their papers we have counts for
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cs.CV2021★ 2 cited
Universal Adder Neural Networks
Hanting Chen, Yunhe Wang, Chang Xu +3
Compared with cheap addition operation, multiplication operation is of much higher computation complexity. The widely-used convolutions in deep neural networks are exactly cross-co…
cs.LG2021
Winograd Algorithm for AdderNet
Wenshuo Li, Hanting Chen, Mingqiang Huang +3
Adder neural network (AdderNet) is a new kind of deep model that replaces the original massive multiplications in convolutions by additions while preserving the high performance. S…
cs.LG2021★ 22 cited
AdderNet and its Minimalist Hardware Design for Energy-Efficient Artificial Intelligence
Yunhe Wang, Mingqiang Huang, Kai Han +4
Convolutional neural networks (CNN) have been widely used for boosting the performance of many machine intelligence tasks. However, the CNN models are usually computationally inten…