The authors suggest to model the annotation errors as a noise function depending on the true distribution of the data and on noise parameters. These noise parameters are learned during the optimization of the network.
The authors propose an active learning strategy to train a model with a minimum amount of annotation. Once the network is trained with a part of the dataset, it is incrementally updated by learning from the most relevant annotations of the expert.
Learn how to setup a basic SSH connection on a remote server by using encrypted keys. We will also improve the default security level of your SSH server. At the end you will be able to connect easily and securely to a server.