Continual learning aims to learn tasks sequentially, with (often severe)...
Lifelong learning has attracted much attention, but existing works still...
In computer vision, disentangling techniques aim at improving latent
rep...
In this paper, we introduce a new model for leveraging unlabeled data to...
Regularization is a big issue for training deep neural networks. In this...
Regularization is a big issue for training deep neural networks. In this...
Our approach is among the three best to tackle the M2CAI Workflow challe...