Translations:Overfitting and Regularization/40/en: Difference between revisions

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    * Srivastava, N. et al. (2014). "Dropout: A Simple Way to Prevent Neural Networks from Overfitting". ''JMLR'', 15, 1929–1958.
    * Srivastava, N. et al. (2014). "{{Term|dropout}}: A Simple Way to Prevent Neural Networks from Overfitting". ''JMLR'', 15, 1929–1958.
    * Tibshirani, R. (1996). "Regression Shrinkage and Selection via the Lasso". ''JRSS Series B'', 58(1), 267–288.
    * Tibshirani, R. (1996). "Regression Shrinkage and Selection via the Lasso". ''JRSS Series B'', 58(1), 267–288.
    * Goodfellow, I., Bengio, Y. and Courville, A. (2016). ''Deep Learning'', Chapter 7. MIT Press.
    * Goodfellow, I., Bengio, Y. and Courville, A. (2016). ''Deep Learning'', Chapter 7. MIT Press.
    * Zhang, C. et al. (2017). "Understanding deep learning requires rethinking generalization". ''ICLR''.
    * Zhang, C. et al. (2017). "Understanding {{Term|deep learning}} requires rethinking generalization". ''ICLR''.
    * Shorten, C. and Khoshgoftaar, T. M. (2019). "A survey on Image Data Augmentation for Deep Learning". ''Journal of Big Data''.
    * Shorten, C. and Khoshgoftaar, T. M. (2019). "A survey on Image Data Augmentation for Deep Learning". ''Journal of Big Data''.

    Latest revision as of 23:34, 27 April 2026

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    Message definition (Overfitting and Regularization)
    * Srivastava, N. et al. (2014). "{{Term|dropout}}: A Simple Way to Prevent Neural Networks from Overfitting". ''JMLR'', 15, 1929–1958.
    * Tibshirani, R. (1996). "Regression Shrinkage and Selection via the Lasso". ''JRSS Series B'', 58(1), 267–288.
    * Goodfellow, I., Bengio, Y. and Courville, A. (2016). ''Deep Learning'', Chapter 7. MIT Press.
    * Zhang, C. et al. (2017). "Understanding {{Term|deep learning}} requires rethinking generalization". ''ICLR''.
    * Shorten, C. and Khoshgoftaar, T. M. (2019). "A survey on Image Data Augmentation for Deep Learning". ''Journal of Big Data''.
    • Srivastava, N. et al. (2014). "dropout: A Simple Way to Prevent Neural Networks from Overfitting". JMLR, 15, 1929–1958.
    • Tibshirani, R. (1996). "Regression Shrinkage and Selection via the Lasso". JRSS Series B, 58(1), 267–288.
    • Goodfellow, I., Bengio, Y. and Courville, A. (2016). Deep Learning, Chapter 7. MIT Press.
    • Zhang, C. et al. (2017). "Understanding deep learning requires rethinking generalization". ICLR.
    • Shorten, C. and Khoshgoftaar, T. M. (2019). "A survey on Image Data Augmentation for Deep Learning". Journal of Big Data.