Representing visual data using compact binary codes is attracting increa...
In the presence of noisy labels, designing robust loss functions is crit...
Class-incremental learning (CIL) learns a classification model with trai...
Training convolutional neural networks (CNNs) with back-propagation (BP)...
Decoupled learning is a branch of model parallelism which parallelizes t...
Using the back-propagation (BP) to train neural networks requires a
sequ...