Lottery ticket search on untrained models with applied lottery sample selection

HIGHLIGHTS

  • who: Ryan Bluteau and Robin Gras from the Computer Science, University of Windsor, Sunset Ave, Windsor, ON N B , Canada have published the paper: Lottery Ticket Search on Untrained Models with Applied Lottery Sample Selection, in the Journal: (JOURNAL)
  • what: The authors show that the authors can remove up to 95% of the training dataset to discover tickets while still maintaining similar accuracy. The authors propose a hypothesis similar to the ticket hypotheses where a subsample of samples of the training set can train a model with equivalent performance to the original dataset. The authors . . .

     

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