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Predicting Neural Network Accuracy from Weights

26 Feb 2020 • Thomas Unterthiner • Daniel Keysers • Sylvain Gelly • Olivier Bousquet • Ilya Tolstikhin

We show experimentally that the accuracy of a trained neural network can be predicted surprisingly well by looking only at its weights, without evaluating it on input data. We motivate this task and introduce a formal setting for it... (read more)

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