We propose the use of probabilistic programming techniques to tackle the...
Deep neural networks are vulnerable to input deformations in the form of...
We present Shape-Tailored Deep Neural Networks (ST-DNN). ST-DNN extend
c...
In this paper we present a novel loss function, called class-agnostic
se...
In continual learning (CL), a learner is faced with a sequence of tasks,...
We formulate a general energy and method for segmentation that is design...