PathSample-AnalyticGradientEstimators forStochasticBinaryNetworks

Neural Information Processing Systems 

We experimentally show higher accuracy in gradient estimation and demonstrate a more stable and better performing training in deep convolutional modelswithbothproposedmethods.

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