NeurIPS 2019
Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center
Paper ID:3263
Title:Constrained deep neural network architecture search for IoT devices accounting for hardware calibration

The authors propose a novel approach to architecture search that explicitly takes computational hardware constraints into account. The writing is clear in spite of typos, the method simple, and the results convincing.