In this paper, we propose a new methodology to perform end-to-end joint optimization over the neural architecture and quantization space.

Neural architecture search (NAS) enables the design automation of neural network structures to achieve both high accuracy and energy efficiency. The other one, ...

Neural architecture search (NAS) enables the design automation of neural network structures to achieve both high accuracy and energy efficiency. The other one, ...

This paper proposes a new methodology to perform end-to-end joint optimization over the neural architecture and quantization space, and searches for the ...

Dec 7, 2019 · Neural architecture search (NAS) enables the design automation of neural network structures to achieve both high accuracy and energy efficiency.

Mixed Precision Neural Architecture Search for Energy Efficient Deep Learning. 1. ∗ indicates equal contributions. Page 2. Contents. ◇ Introduction. ◇ Our ...

We first propose a mixed-precision accelerator, a highly parameterized architecture that can adapt to different bit widths for different quantized layers.

Deep neural network quantization has emerged as an effective technique to improve network compression, throughput, and energy efficiency.

Mixed Precision Neural Architecture Search for Energy Efficient Deep Learning C. Gong*, Z. Jiang*, D. Wang, Y. Lin, Q. Liu, D.Z. Pan; ICCAD 2019. Quantile ...

Mar 4, 2021 · Our future work will focus on mixed-precision quantization architecture search without training datasets and training a universal model that can ...