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We propose and systematically evaluate three strategies for training dynamically-routed artificial neural networks: graphs of learned transformations through which different input signals may take different paths.
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Deep neural decision forests
Kontschieder, Peter, Fiterau, Madalina, Criminisi, Antonio, and Rota Bulo, Samuel · 2015
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