This paper presents a highly efficient processor design methodology based on the LISA 2.0 language. Typically the architecture design phase is dominated by an iterative processor ...
Andreas Hoffmann, Frank Fiedler, Achim Nohl, Suren...
As computational learning agents move into domains that incur real costs (e.g., autonomous driving or financial investment), it will be necessary to learn good policies without n...
Multi-view learning algorithms typically assume a complete bipartite mapping between the different views in order to exchange information during the learning process. However, ma...
We present an approach for the supervised online learning of object representations based on a biologically motivated architecture of visual processing. We use the output of a rece...
In this paper, we introduce a method that automatically builds text classifiers in a new language by training on already labeled data in another language. Our method transfers the...