Xma : a crossbar-aware multi-task adaption framework via 2-tier masks

HIGHLIGHTS

• who: TYPE and collaborators from the Tsinghua University, China have published the research work: XMA : A crossbar-aware multi-task adaption framework via 2-tier masks, in the Journal: (JOURNAL)
• what: The main reason is that these methods completely freeze the weights of the backbone model and only apply the binary (Mallya et_al, 2018; Zhang et_al, 2022a) or shift-value (Zhang et_al, 2022b) masks, causing limited optimization space for learning new tasks. To tackle these issues, in this work, the authors propose XMA2, a novel ReRAM crossbar-aware learning framework via 2-tier masks for . . .
  

   

  

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