research
∙
02/12/2020
Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding Space
Recent advances in the field of artificial intelligence have been made p...
share
research
∙
01/14/2020
Run-time Deep Model Multiplexing
We propose a framework to design a light-weight neural multiplexer that ...
research
∙
09/06/2019
Coarse2Fine: A Two-stage Training Method for Fine-grained Visual Classification
Small inter-class and large intra-class variations are the main challeng...
research
∙
02/04/2019
BottleNet: A Deep Learning Architecture for Intelligent Mobile Cloud Computing Services
Recent studies have shown the latency and energy consumption of deep neu...
research
∙
02/01/2019
Towards Collaborative Intelligence Friendly Architectures for Deep Learning
Modern mobile devices are equipped with high-performance hardware resour...
research
∙
10/18/2018
Gradient Agreement as an Optimization Objective for Meta-Learning
This paper presents a novel optimization method for maximizing generaliz...
research
∙
09/21/2018
A Meta-Learning Approach for Custom Model Training
Transfer-learning and meta-learning are two effective methods to apply k...
research
∙
01/25/2018
JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services
Deep neural networks are among the most influential architectures of dee...
research
∙
01/11/2018