TAS: Ternarized Neural Architecture Search for Resource-Constrained Edge Devices

1 code implementation • Design, Automation and Test in Europe Conference (DATE) 2022 • Mohammad Loni, Hamid Mousavi, Mohammad Riazati, Masoud Daneshtalab, and Mikael Sjodin

This paper proposes TAS, a framework that drastically reduces the accuracy gap between TNNs and their full-precision counterparts by integrating quantization into the network design.

Neural Architecture Search Quantization