no code implementations • 19 Apr 2024 • Nikhil P Ghanathe, Steve Wilton
QUTE adds additional output blocks at the final exit of the base network and distills the knowledge of early-exits into these blocks to create a diverse and lightweight ensemble architecture.
no code implementations • 3 Apr 2024 • Behnam Ghavami, Amin Kamjoo, Lesley Shannon, Steve Wilton
The imperative to deploy Deep Neural Network (DNN) models on resource-constrained edge devices, spurred by privacy concerns, has become increasingly apparent.
no code implementations • 14 Jul 2022 • Nikhil P Ghanathe, Steve Wilton
In this paper, we show how such models can be enhanced by the addition of an early exit intermediate classifier.
no code implementations • 8 Jul 2021 • Nikhil Pratap Ghanathe, Vivek Seshadri, Rahul Sharma, Steve Wilton, Aayan Kumar
Recent breakthroughs in ML have produced new classes of models that allow ML inference to run directly on milliwatt-powered IoT devices.