3 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 3 cited
EdgeFM: Leveraging Foundation Model for Open-set Learning on the Edge
Bufang Yang, Lixing He, Neiwen Ling +5
Deep Learning (DL) models have been widely deployed on IoT devices with the help of advancements in DL algorithms and chips. However, the limited resources of edge devices make the…
cs.LG2022★ 2 cited
Moses: Efficient Exploitation of Cross-device Transferable Features for Tensor Program Optimization
Zhihe Zhao, Xian Shuai, Yang Bai +4
Achieving efficient execution of machine learning models has attracted significant attention recently. To generate tensor programs efficiently, a key component of DNN compilers is…