research
∙
06/21/2023
Adaptive DNN Surgery for Selfish Inference Acceleration with On-demand Edge Resource
Deep Neural Networks (DNNs) have significantly improved the accuracy of ...
share
research
∙
03/22/2023
Variantional autoencoder with decremental information bottleneck for disentanglement
One major challenge of disentanglement learning with variational autoenc...
research
∙
06/17/2022
PICO: Pipeline Inference Framework for Versatile CNNs on Diverse Mobile Devices
Recent researches in artificial intelligence have proposed versatile con...
research
∙
07/01/2020
Shuffle-Exchange Brings Faster: Reduce the Idle Time During Communication for Decentralized Neural Network Training
As a crucial scheme to accelerate the deep neural network (DNN) training...
research
∙
09/26/2017
Scale Adaptive Clustering of Multiple Structures
We propose the segmentation of noisy datasets into Multiple Inlier Struc...
research
∙
09/20/2016
