The paper “Improving Residue-Level Sparsity in RNS-based Neural Network Hardware Accelerators via Regularization” by Emmanouil Kavvousanos, Vasilis Sakellariou, Vassilis Paliouras, Ioannis Kouretas and Thanos Stouraitis has been accepted to be presented as a regular paper at the prestigious 30th IEEE International Symposium on Computer Arithmetic, ARITH 2023, Portland, Oregon, USA, September 4-6, 2023.
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