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GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices Based on Fine-Grained Structured Weight Sparsity.

Wei NiuZhengang LiXiaolong MaPeiyan DongGang ZhouXuehai QianXue LinYanzhi WangBin Ren
Published in: IEEE Trans. Pattern Anal. Mach. Intell. (2022)
Keyphrases
  • fine grained
  • deep learning
  • coarse grained
  • mobile devices
  • access control
  • probabilistic model
  • high dimensional
  • unsupervised learning
  • data lineage
  • bayesian networks
  • data model
  • sparse representation