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GradFreeBits: Gradient-Free Bit Allocation for Mixed-Precision Neural Networks
Quantized neural networks (QNNs) are among the main approaches for deploying deep neural networks on low-resource edge devices. Training QNNs using different levels of precision throughout the network (mixed-precision quantization) typically achieves superior trade-offs between performance and compu...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9787339/ https://www.ncbi.nlm.nih.gov/pubmed/36560141 http://dx.doi.org/10.3390/s22249772 |