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Switchable Precision Neural Networks
Instantaneous and on demand accuracy-efficiency trade-off has been recently explored in the context of neural networks slimming.
Automatic Pruning for Quantized Neural Networks
In particular, for ResNet-18 on ImageNet, we prune 26. 12% of the model size with Binarized Neural Network quantization, achieving a top-1 classification accuracy of 47. 32% in a model of 2. 47 MB and 59. 30% with a 2-bit DoReFa-Net in 4. 36 MB.
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