94 citations · 136 across the 16 of their papers we have counts for
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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.LG2021★ 9 cited
Large-Scale Deep Learning Optimizations: A Comprehensive Survey
Xiaoxin He, Fuzhao Xue, Xiaozhe Ren +1
Deep learning have achieved promising results on a wide spectrum of AI applications. Larger datasets and models consistently yield better performance. However, we generally spend l…
cs.LG2021
SparseBERT: Rethinking the Importance Analysis in Self-attention
Han Shi, Jiahui Gao, Xiaozhe Ren +4
Transformer-based models are popularly used in natural language processing (NLP). Its core component, self-attention, has aroused widespread interest. To understand the self-attent…