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Biological convolutions improve DNN robustness to noise and generalisation

2021-02-18

Abstract excerpt

Deep Convolutional Neural Networks (DNNs) have achieved superhuman accuracy on standard image classification benchmarks. Their success has reignited significant interest in their use as models of the primate visual system, bolstered by claims of their architectural and representational similarities. However, closer scrutiny of these models suggests that they rely on various forms of shortcut learning to achieve th...

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Literature Corpus work
aae26f42-d8e5-5738-871f-37f53b2e7215
DOI
10.1101/2021.02.18.431827
Open publication

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Biological convolutions improve DNN robustness to noise and generalisationDOI 10.1101/2021.02.18.431827
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