Low-resolution weight networks (1 to 4.08 bits) can roughly match 32-bit accuracy on CIFAR-10, with 2.32-bit weights identified as the best memory-performance trade-off.
Cost-efficient sharing algorithms for dnn model serving in mobile edge networks
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Low-Resolution Neural Networks
Low-resolution weight networks (1 to 4.08 bits) can roughly match 32-bit accuracy on CIFAR-10, with 2.32-bit weights identified as the best memory-performance trade-off.