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Delta Networks for Optimized Recurrent Network Computation.

, , , и . ICML, том 70 из Proceedings of Machine Learning Research, стр. 2584-2593. PMLR, (2017)

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Live demonstration: Event-driven real-time spoken digit recognition system., , , , и . ISCAS, стр. 1. IEEE, (2017)Delta Networks for Optimized Recurrent Network Computation., , , и . ICML, том 70 из Proceedings of Machine Learning Research, стр. 2584-2593. PMLR, (2017)Multi-channel Attention for End-to-End Speech Recognition., , , , и . INTERSPEECH, стр. 17-21. ISCA, (2018)DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events with Deep Learning for Improved Steering Prediction., , , , и . ITSC, стр. 1-6. IEEE, (2020)Lip Reading Deep Network Exploiting Multi-Modal Spiking Visual and Auditory Sensors., , , и . ISCAS, стр. 1-5. IEEE, (2019)Sensor Transformation Attention Networks., , , , и . CoRR, (2017)Deep Neural Networks and Hardware Systems for Event-driven Data.. ETH Zurich, Zürich, Switzerland, (2017)base-search.net (ftethz:oai:www.research-collection.ethz.ch:20.500.11850/168865).Attention-driven Multi-sensor Selection., , , , и . IJCNN, стр. 1-8. IEEE, (2019)A curriculum learning method for improved noise robustness in automatic speech recognition., , и . EUSIPCO, стр. 548-552. IEEE, (2017)Exploring Deep Recurrent Models with Reinforcement Learning for Molecule Design., , , , , , и . ICLR (Workshop), OpenReview.net, (2018)