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Growing Deep Forests Efficiently with Soft Routing and Learned Connectivity
Despite the latest prevailing success of deep neural networks (DNNs), se...
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Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference
While increasingly deep networks are still in general desired for achiev...
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Dual Dynamic Inference: Enabling More Efficient, Adaptive and Controllable Deep Inference
State-of-the-art convolutional neural networks (CNNs) yield record-break...
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Jianghao Shen
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