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Sharify, Sayeh

  1. Loom: Exploiting Weight and Activation Precisions to Accelerate Convolutional Neural Networks
    2017/06/23 by Sayeh Sharify, Sharify, Sayeh, Alberto Delmás Lascorz +7 · 3 citations
    Computer Science · Engineering · #Advanced Memory and Neural Computing #Advanced Neural Network Applications #CCD and CMOS Imaging Sensors #Distributed #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
  2. Dynamic Stripes: Exploiting the Dynamic Precision Requirements of Activation Values in Neural Networks
    2017/06/01 by Delmas, Alberto, Judd, Patrick, Sharify, Sayeh +1 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  3. ResQ: Mixed-Precision Quantization of Large Language Models with Low-Rank Residuals
    2024/12/18 by Saxena, Utkarsh, Sharify, Sayeh, Roy, Kaushik +1 · 8 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  4. Post Training Quantization of Large Language Models with Microscaling Formats
    2024/05/12 by Sharify, Sayeh, Saxena, Utkarsh, Xu, Zifei +3 · 4 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  5. Scaling Laws for Post Training Quantized Large Language Models
    2024/10/15 by Zifei Xu, Alexander Lan, Xu, Zifei +9 · 2 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  6. Mixed-Precision Quantization for Deep Vision Models with Integer Quadratic Programming
    2023/07/11 by Zihao Deng, Sayeh Sharify, Deng, Zihao +5 · 1 citation
    Computer Science · Engineering · #Advanced Image Processing Techniques #Advanced Vision and Imaging #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE) #Sparse and Compressive Sensing Techniques