Institute for Neural Computation, Ruhr University Bochum, Germany; Institute for Neural Computation, Ruhr University Bochum, Germany; Royal Holloway, University of London; Faculty of Electrical and Computer Engineering, Technische Universität Dresden, Dresden, Germany; Centre for Tactile Internet with Human-in-the-Loop (CeTI), Technische Universität Dresden, Dresden, Germany; Faculty of Electrical and Computer Engineering, Technische Universität Dresden, Dresden, Germany
Anand Subramoney, Khaleelulla Khan Nazeer, Mark Schoene, Christian Mayr, David Kappel
RNN;GRU;recurrent network;language modeling;dvs;gesture recognition;activity sparsity;efficiency
Efficient recurrent architectures through activity sparsity and sparse back-propagation through time