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We study deep neural networks with binary activation functions (BDNN), i.e.
Sparse regression: Scalable algorithms and empirical performance
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Sparse classification: a scalable discrete optimization perspective
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Zeng, B. and Zhao, L · 2013
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Binaryconnect: Training deep neural networks with binary weights during propagations
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Deep learning
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Robust classification
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Combinatorial attacks on binarized neural networks
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Training binarized neural networks using MIP and CP
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