26 citations · 69 across the 18 of their papers we have counts for
4 papers · 1 filter
TT-MPD: Test Time Model Pruning and Distillation
Haihang Wu, Wei Wang, Tamasha Malepathirana +3
Pruning can be an effective method of compressing large pre-trained models for inference speed acceleration. Previous pruning approaches rely on access to the original training dat…
Using Fitts' Law to Benchmark Assisted Human-Robot Performance
Jiahe Pan, Jonathan Eden, Denny Oetomo +1
Shared control systems aim to combine human and robot abilities to improve task performance. However, achieving optimal performance requires that the robot's level of assistance ad…
Effects of Shared Control on Cognitive Load and Trust in Teleoperated Trajectory Tracking
Jiahe Pan, Jonathan Eden, Denny Oetomo +1
Teleoperation is increasingly recognized as a viable solution for deploying robots in hazardous environments. Controlling a robot to perform a complex or demanding task may overloa…
When To Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks
Haihang Wu, Wei Wang, Tamasha Malepathirana +3
Neural growth is the process of growing a small neural network to a large network and has been utilized to accelerate the training of deep neural networks. One crucial aspect of ne…