activity
20192026
most citedMEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge

41 citations · 180 across the 15 of their papers we have counts for

collaborators
Showing 2020Show all

2 papers · 1 filter

cs.LG2020★ 5 cited

NPAS: A Compiler-aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration

Zhengang Li, Geng Yuan, Wei Niu +13

With the increasing demand to efficiently deploy DNNs on mobile edge devices, it becomes much more important to reduce unnecessary computation and increase the execution speed. Pri…

cs.CV2020★ 4 cited

FracBits: Mixed Precision Quantization via Fractional Bit-Widths

Linjie Yang, Qing Jin

Model quantization helps to reduce model size and latency of deep neural networks. Mixed precision quantization is favorable with customized hardwares supporting arithmetic operati…