most citedTowards Model-Size Agnostic, Compute-Free, Memorization-based Inference of Deep Learning

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cs.LG2024

Neural Precision Polarization: Simplifying Neural Network Inference with Dual-Level Precision

Dinithi Jayasuriya, Nastaran Darabi, Maeesha Binte Hashem +1

We introduce a precision polarization scheme for DNN inference that utilizes only very low and very high precision levels, assigning low precision to the majority of network weight…

cs.LG2023★ 1 cited

Towards Model-Size Agnostic, Compute-Free, Memorization-based Inference of Deep Learning

Davide Giacomini, Maeesha Binte Hashem, Jeremiah Suarez +2

The rapid advancement of deep neural networks has significantly improved various tasks, such as image and speech recognition. However, as the complexity of these models increases,…