most citedFast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-task Learning in Computer Vision Tasks for Robotic Grasping on the Edge

1 citations · 3 across the 7 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2023

On Calibration of Modern Quantized Efficient Neural Networks

Joey Kuang, Alexander Wong

We explore calibration properties at various precisions for three architectures: ShuffleNetv2, GhostNet-VGG, and MobileOne; and two datasets: CIFAR-100 and PathMNIST. The quality o…

cs.LG2022★ 1 cited

MAPLE-X: Latency Prediction with Explicit Microprocessor Prior Knowledge

Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee

Deep neural network (DNN) latency characterization is a time-consuming process and adds significant cost to Neural Architecture Search (NAS) processes when searching for efficient…

cs.LG2022

MAPLE-Edge: A Runtime Latency Predictor for Edge Devices

Saeejith Nair, Saad Abbasi, Alexander Wong +1

Neural Architecture Search (NAS) has enabled automatic discovery of more efficient neural network architectures, especially for mobile and embedded vision applications. Although re…