most citedDeepCABAC: Context-adaptive binary arithmetic coding for deep neural network compression

8 citations · 8 across the 1 of their papers we have counts for

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1 paper

cs.LG2019★ 8 cited

DeepCABAC: Context-adaptive binary arithmetic coding for deep neural network compression

Simon Wiedemann, Heiner Kirchhoffer, Stefan Matlage +9

We present DeepCABAC, a novel context-adaptive binary arithmetic coder for compressing deep neural networks. It quantizes each weight parameter by minimizing a weighted rate-distor…