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The purpose of this work was to develop of metrics to assess network architectures that balance neural network size and task performance.
Cortical glucose metabolic rate correlates of abstract reasoning and attention studied with positron emission tomography
Richard J. Haier, Benjamin V. Siegel, Keith H. Nuechterlein, Erin Hazlett, Joseph C. Wu, Joanne Paek, Heather L. Browning, and Monte S. Buchsbaum · 1988
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Optimal brain damage
Yann LeCun, John S. Denker, and Sara A. Solla · 1990
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Regional glucose metabolic changes after learning a complex visuospatial/motor task: A positron emission tomographic study
R. J. Haier, B. V. Siegel, A. MacLachlan, E. Soderling, S. Lottenberg, and M. S. Buchsbaum · 1992
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Intelligence and changes in regional cerebral glucose metabolic rate following learning
Richard J. Haier, Benjamin Siegel, Chuck Tang, Lennart Abel, and Monte S. Buchsbaum · 1992
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Second order derivatives for network pruning: Optimal brain surgeon
Babak Hassibi and David G. Stork · 1993
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Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner · 1998
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Emnist: an extension of mnist to handwritten letters, 2017
Gregory Cohen, Saeed Afshar, Jonathan Tapson, and André van Schaik · 2017
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Further advantages of data augmentation on convolutional neural networks
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Alex Labach, Hojjat Salehinejad, and Shahrokh Valaee · 2019
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