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Old Age
Lazy Evaluation of Convolutional Filters
May 27, 2016 Β· Declared Dead Β· π International Conference on Machine Learning
"No code URL or promise found in abstract"
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Authors
Sam Leroux, Steven Bohez, Cedric De Boom, Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt
arXiv ID
1605.08543
Category
cs.CV: Computer Vision
Cross-listed
cs.NE
Citations
7
Venue
International Conference on Machine Learning
Last Checked
4 months ago
Abstract
In this paper we propose a technique which avoids the evaluation of certain convolutional filters in a deep neural network. This allows to trade-off the accuracy of a deep neural network with the computational and memory requirements. This is especially important on a constrained device unable to hold all the weights of the network in memory.
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