Aditya Annavajjala*

DεpS: Delayed ε-Shrinking for Faster Once-For-All Training

"CNNs are increasingly deployed across different hardware, dynamic environments, and low-power embedded devices. This has led to the design and training of CNN architectures with the goal of maximizing accuracy subject to such variable deployment constraints. As the number of deployment scenarios gr…