Deep Learning, Knowledge Representation and Reasoning
Kristian Kersting, TU Dortmund, Germany
Artur d'Avila Garcez, City University London, UK
Tarek Besold, Free University of Bozen - Bolzano, Italy
Leon Bottou, Facebook, NY, USA
Ramananthan Guha, Google Inc., Mountain View, USA
Luis Lamb, UFRGS, Brazil
Gary Marcus, New York University, USA
Risto Miikkulainen, University of Texas, Austin, USA
The recent success of deep neural networks at tasks such as language modelling, computer vision, and speech recognition has attracted considerable interest from industry and academia. Achieving a better understanding and widespread use of such models involves the use of Knowledge Representation and Reasoning together with sound Machine Learning methodologies and systems.
The goal of this special track, which closed in 2017, was to serve as a home for the publication of leading research in deep learning towards cognitive tasks, focusing on applications of neural computation to advanced AI tasks requiring knowledge representation and reasoning.