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Up or Down? Adaptive Rounding for Post-Training Quantization
Markus Nagel
,
Rana Ali Amjad
,
Mart van Baalen
,
Christos Louizos
,
Tijmen Blankevoort
2020 (modified: 30 Sept 2024)
ICML 2020
Readers:
Everyone
Abstract:
When quantizing neural networks, assigning each floating-point weight to its nearest fixed-point value is the predominant approach. We find that, perhaps surprisingly, this is not the best we can d...
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