BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization

Nikolić Miloš
Nikolić Miloš
Hacene Ghouthi Boukli
Hacene Ghouthi Boukli
Bannon Ciaran
Bannon Ciaran
Lascorz Alberto Delmas
Lascorz Alberto Delmas
Gripon Vincent
Gripon Vincent
Cited by: 1|Bibtex|Views37
Other Links: arxiv.org

Abstract:

Neural networks have demonstrably achieved state-of-the art accuracy using low-bitlength integer quantization, yielding both execution time and energy benefits on existing hardware designs that support short bitlengths. However, the question of finding the minimum bitlength for a desired accuracy remains open. We introduce a training me...More

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