Tag: Deep Learning rss


14 December 2018 / / Publications
Authors: Dhaval Adjodah, Dan Calacci, Abhimanyu Dubey, Peter Krafft, Esteban Moro, Alex `Sandy’ Pentland Journal: Preprint (2018). arXiv Abstract: In this empirical paper, we investigate how learning agents can be arranged in more efficient communication topologies for improved learning. This is an important problem because a common technique to improve speed and robustness of learning in deep reinforcement learning and many other machine learning algorithms is to run multiple learning agents in parallel.
24 April 2018 / / Publications
Authors: Abhimanyu Dubey, Esteban Moro, Manuel Cebrian, Iyad Rahwan Journal: WWW’18 Proceedings of the Web Conference 2018 LINK Abstract: The analysis of the creation, mutation, and propagation of social media content on the Internet is an essential problem in computational social science, affecting areas ranging from marketing to political mobilization. A first step towards understanding the evolution of images online is the analysis of rapidly modifying and propagating memetic imagery or ‘memes’.