2024
PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks
CVPR 2024poster
Low-precision quantization is recognized for its efficacy in neural network optimization. Our analysis reveals that non-quantized elementwise operations which are prevalent in layers such as parameterized activation functions batch normalization and quantization scaling dominate the inference cost o…