Finding non-uniform quantization schemes using multi-task Gaussian processes
We propose a novel method for neural network quantization that casts the neural architecture search problem as one of hyperparameter search to find non-uniform bit distributions throughout the layers of a CNN. We perform the search assuming a Multi-Task Gaussian Processes prior, which splits the pro...
| Autores principales: | , , |
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| Formato: | Internet publication |
| Lenguaje: | English |
| Publicado: |
2020
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