Robotics and Biology Laboratory


concarne is a lightweight python framework for learning with side information (aka privileged information). concarne implements a variety of different patterns that enable to apply side information. As it builds upon Theano and lasagne, you can use neural network structures that you have developed yourself and easily combine them with the side information learning task.


Accompanies paper: Patterns for Learning with Side Information

Maintainers: Sebastian Höfer, Rico Jonschkowski

Research project: Representation Learning