Saliency-guided training combined with PACT quantization keeps MNIST and CIFAR-10 accuracy near parity with a quantized baseline, while the claimed efficiency and interpretability gains are not directly measured.
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Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task
Saliency-guided training combined with PACT quantization keeps MNIST and CIFAR-10 accuracy near parity with a quantized baseline, while the claimed efficiency and interpretability gains are not directly measured.