Brain tissue segmentation is essential for neuroscience and clinical stu...
Meta learning recently has been heavily researched and helped advance th...
Robust loss minimization is an important strategy for handling robust
le...
Extensive researches have applied deep neural networks (DNNs) in class
i...
Modern deep neural networks can easily overfit to biased training data
c...
Meta learning has attracted much attention recently in machine learning
...
Current machine learning has made great progress on computer vision and ...
Deep neural networks often degrade significantly when training data suff...
Recent deep neural networks (DNNs) can easily overfit to biased training...
The learning rate (LR) is one of the most important hyper-parameters in
...
To discover intrinsic inter-class transition probabilities underlying da...
Robust loss minimization is an important strategy for handling robust
le...
While deep networks have strong fitting capability to complex input patt...
While deep networks have strong fitting capability to complex input patt...
As a promising area in artificial intelligence, a new learning paradigm,...