research

Authors: Muhammad Zubair Irshad, Mauro Comi, Yen-Chen Lin, Nick Heppert, Abhinav Valada, Rares Ambrus, Zsolt Kira, Jonathan Tremblay How do we represent 3D world knowledge for spatial intelligence in next-generation robots? This is the question ELLIS-ELIZA PhD student Nick Heppert, ELLIS-ELIZA Fellow Abhinav Valada, and their co-authors tried to answer Read more

Authors: Jörg Franke, Michael Hefenbrock, Gregor Koehler, Frank Hutter Introduction We present in our recent preprint a novel approach to parameter regularization for deep learning: Constrained Parameter Regularization (CPR). It is an alternative to traditional weight decay. Instead of applying a constant penalty uniformly to all parameters, we enforce an Read more