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발표자 박은미 
발표일자 2021-04-21 
저자 Andrew Brock 
학회명  
논문지  

제목: High-Performance Large-Scale Image Recognition Without Normalization

저자: Andrew Brock, Soham De, Samuel L. Smith, Karen Simonyan 


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For completeness, in Table 6 of the Appendix we also report the performance of our model architectures when trained with batch normalization instead of the NF strategy. These models achieve slightly lower test accuracies than their NF counterparts and they are between 20% and 40% slower to train, even when using highly optimized batch normalization implementations without cross-replica syncing.

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    2021

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      2021.06.23
      발표자: 김누리     발표일자: 2021-06-23     저자: Hieu Pham, Zihang Dai, Qizhe Xie, Quoc V. Le     학회명: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021.    
      NBDT: NEURAL-BACKED DECISION TREE
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