8 research outputs found
A Meta-Learning Approach for Custom Model Training
Transfer-learning and meta-learning are two effective methods to apply
knowledge learned from large data sources to new tasks. In few-class, few-shot
target task settings (i.e. when there are only a few classes and training
examples available in the target task), meta-learning approaches that optimize
for future task learning have outperformed the typical transfer approach of
initializing model weights from a pre-trained starting point. But as we
experimentally show, meta-learning algorithms that work well in the few-class
setting do not generalize well in many-shot and many-class cases. In this
paper, we propose a joint training approach that combines both
transfer-learning and meta-learning. Benefiting from the advantages of each,
our method obtains improved generalization performance on unseen target tasks
in both few- and many-class and few- and many-shot scenarios.Comment: AAAI 201
JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services
A Structural Constitutive Model for Viscoelastic Rheological Behavior of Human Saphenous Vein Using Experimental Assays
Cardiovascular diseases are one of the most common causes of mortality in developed countries. Coronary artery abnormalities and carotid artery stenosis, also known as silent death, are among these diseases. One of the treatment methods for these diseases is to create a deviatory pathway to conduct blood into the heart through a bypass surgery. The saphenous vein is usually used in this surgery to create the deviatory pathway. Unfortunately, a re-surgery will be necessary after some years due to ignoring the disagreement of mechanical properties of graft tissue and/or applied prostheses with those of host tissue. The objective of the present study is to clarify the viscoelastic behavior of human saphenous tissue. The stress relaxation tests in circumferential and longitudinal direction were done in this vein by exerting 20% and 50% strains. Considering the stress relaxation curves obtained from stress relaxation tests and the coefficients of the standard solid model, it was demonstrated that the saphenous vein has a non-linear viscoelastic behavior. Thereafter, the fitting with Fung’s quasilinear viscoelastic (QLV) model was performed based on stress relaxation time curves. Finally, the coefficients of Fung’s QLV model, which models the behavior of saphenous tissue very well, were presented