10 citations · 12 across the 4 of their papers we have counts for
4 papers
Highly Optimized Kernels and Fine-Grained Codebooks for LLM Inference on Arm CPUs
Dibakar Gope, David Mansell, Danny Loh +1
Large language models (LLMs) have transformed the way we think about language understanding and generation, enthralling both researchers and developers. However, deploying LLMs for…
Restructurable Activation Networks
Kartikeya Bhardwaj, James Ward, Caleb Tung +6
Is it possible to restructure the non-linear activation functions in a deep network to create hardware-efficient models? To address this question, we propose a new paradigm called…
Super-Efficient Super Resolution for Fast Adversarial Defense at the Edge
Kartikeya Bhardwaj, Dibakar Gope, James Ward +2
Autonomous systems are highly vulnerable to a variety of adversarial attacks on Deep Neural Networks (DNNs). Training-free model-agnostic defenses have recently gained popularity d…
Collapsible Linear Blocks for Super-Efficient Super Resolution
Kartikeya Bhardwaj, Milos Milosavljevic, Liam O'Neil +6
With the advent of smart devices that support 4K and 8K resolution, Single Image Super Resolution (SISR) has become an important computer vision problem. However, most super resolu…