Reference request: initializing big neural networks with small neural networks












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I am currently trying some meta-algorithms on training neural networks. Start with a small but expressive enough network for training and after several epochs, initialize a larger neural network with the trained weight in the small neural network. It seems to me that we can gain marginal improvement in the optimization speed in terms of time.



I believe there are already lots of paper in this direction but can find any paper related possibly because I am using a wrong key word. I wonder where I can find relevant papers, thanks in advance.










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    I am currently trying some meta-algorithms on training neural networks. Start with a small but expressive enough network for training and after several epochs, initialize a larger neural network with the trained weight in the small neural network. It seems to me that we can gain marginal improvement in the optimization speed in terms of time.



    I believe there are already lots of paper in this direction but can find any paper related possibly because I am using a wrong key word. I wonder where I can find relevant papers, thanks in advance.










    share|improve this question







    New contributor




    Lind Axiao is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







    $endgroup$















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      0








      0





      $begingroup$


      I am currently trying some meta-algorithms on training neural networks. Start with a small but expressive enough network for training and after several epochs, initialize a larger neural network with the trained weight in the small neural network. It seems to me that we can gain marginal improvement in the optimization speed in terms of time.



      I believe there are already lots of paper in this direction but can find any paper related possibly because I am using a wrong key word. I wonder where I can find relevant papers, thanks in advance.










      share|improve this question







      New contributor




      Lind Axiao is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      I am currently trying some meta-algorithms on training neural networks. Start with a small but expressive enough network for training and after several epochs, initialize a larger neural network with the trained weight in the small neural network. It seems to me that we can gain marginal improvement in the optimization speed in terms of time.



      I believe there are already lots of paper in this direction but can find any paper related possibly because I am using a wrong key word. I wonder where I can find relevant papers, thanks in advance.







      machine-learning optimization






      share|improve this question







      New contributor




      Lind Axiao is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      share|improve this question







      New contributor




      Lind Axiao is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      share|improve this question




      share|improve this question






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      Lind Axiao is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      asked 1 hour ago









      Lind AxiaoLind Axiao

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