Browsing Department of Computational and Data Sciences (CDS) by Subject "imperfect data"

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    • Learning from Limited and Imperfect Data 

      Rangwani, Harsh
      Deep Neural Networks have demonstrated orders of magnitude improvement in capabilities over the years after AlexNet won the ImageNet challenge in 2012. One of the major reasons for this success is the availability of ...