1 code implementation • 17 Aug 2022 • Kartikeya Bhardwaj, James Ward, Caleb Tung, Dibakar Gope, Lingchuan Meng, Igor Fedorov, Alex Chalfin, Paul Whatmough, Danny Loh
To address this question, we propose a new paradigm called Restructurable Activation Networks (RANs) that manipulate the amount of non-linearity in models to improve their hardware-awareness and efficiency.
1 code implementation • 29 Dec 2021 • Kartikeya Bhardwaj, Dibakar Gope, James Ward, Paul Whatmough, Danny Loh
Autonomous systems are highly vulnerable to a variety of adversarial attacks on Deep Neural Networks (DNNs).
3 code implementations • 17 Mar 2021 • Kartikeya Bhardwaj, Milos Milosavljevic, Liam O'Neil, Dibakar Gope, Ramon Matas, Alex Chalfin, Naveen Suda, Lingchuan Meng, Danny Loh
Our results highlight the challenges faced by super resolution on AI accelerators and demonstrate that SESR is significantly faster (e. g., 6x-8x higher FPS) than existing models on mobile-NPU.