1 citations · 1 across the 3 of their papers we have counts for
4 papers
Adaptive Attention-Based Model for 5G Radio-based Outdoor Localization
Ilayda Yaman, Guoda Tian, Dino Pjanic +4
Radio-based localization in dynamic environments, such as urban and vehicular settings, requires systems that efficiently adapt to varying signal conditions and environmental chang…
SteROI-D: System Design and Mapping for Stereo Depth Inference on Regions of Interest
Jack Erhardt, Ziang Li, Reid Pinkham +2
Machine learning algorithms have enabled high quality stereo depth estimation to run on Augmented and Virtual Reality (AR/VR) devices. However, high energy consumption across the f…
Panacea: Novel DNN Accelerator using Accuracy-Preserving Asymmetric Quantization and Energy-Saving Bit-Slice Sparsity
Dongyun Kam, Myeongji Yun, Sunwoo Yoo +3
Low bit-precisions and their bit-slice sparsity have recently been studied to accelerate general matrix-multiplications (GEMM) during large-scale deep neural network (DNN) inferenc…
Turbo Sparse: Achieving LLM SOTA Performance with Minimal Activated Parameters
Yixin Song, Haotong Xie, Zhengyan Zhang +4
Exploiting activation sparsity is a promising approach to significantly accelerating the inference process of large language models (LLMs) without compromising performance. However…