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most citedQuantizing Convolutional Neural Networks for Low-Power High-Throughput Inference Engines

20 citations · 29 across the 17 of their papers we have counts for

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Showing 2015 · stat.APShow all

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stat.AP2015★ 1 cited

Multiple-Campaign Ad-Targeting Deployment: Parallel Response Modeling, Calibration and Scoring Without Personal User Information

Paolo D'Alberto

We present a vertical introduction to campaign optimization; that is, the ability to predict the user response to an ad campaign without any users' profiles on average and for each…