[ISLPED 2021] Accepted Paper: EExNAS: Early-Exit Neural Architecture Search Solutions for Low-Power Wearable Devices

Our paper “EExNAS: Early-Exit Neural Architecture Search Solutions for Low-Power Wearable Devices” has been accepted to the ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED’21). Congratulations Odema.