Search Results for author:
Found 3 papers, 1 papers with code
Unobtrusive Pain Monitoring in Older Adults with Dementia using Pairwise and Contrastive Training
However, existing computer vision techniques for pain detection are not validated on faces of older adults or people with dementia, and this population is not represented in existing facial expression datasets of pain.
Ranked #1 on
Pain Intensity Regression
on UNBC-McMaster ShoulderPain dataset
(Pearson Correlation Coefficient metric)
HyperTune: Dynamic Hyperparameter Tuning For Efficient Distribution of DNN Training Over Heterogeneous Systems
Distributed training is a novel approach to accelerate Deep Neural Networks (DNN) training, but common training libraries fall short of addressing the distributed cases with heterogeneous processors or the cases where the processing nodes get interrupted by other workloads.
STANNIS: Low-Power Acceleration of Deep Neural Network Training Using Computational Storage
This paper proposes a framework for distributed, in-storage training of neural networks on clusters of computational storage devices.
