Double Rounding derives lower-bit neural network weights from a stored 8-bit integer model, achieving accuracy comparable to state-of-the-art multi-precision quantization on ImageNet.
Improved techniques for quantizing deep networks with adaptive bit-widths,
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Nearly Lossless Adaptive Bit Switching
Double Rounding derives lower-bit neural network weights from a stored 8-bit integer model, achieving accuracy comparable to state-of-the-art multi-precision quantization on ImageNet.