Towards Energy-Efficient, Low-Latency and Accurate Spiking LSTMs

23 October 2022

Papers citing "Towards Energy-Efficient, Low-Latency and Accurate Spiking LSTMs"

4 / 4 papers shown

Title
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks Shi-Wee Deng Shi Gu 116 197 0 28 Feb 2021
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation Nitin Rathi G. Srinivasan Priyadarshini Panda Kaushik Roy 116 292 0 04 May 2020
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks Chankyu Lee Adarsh Kosta A. Z. Zhu Kenneth Chaney Kostas Daniilidis Kaushik Roy 81 160 0 14 Mar 2020
Long short-term memory and learning-to-learn in networks of spiking neurons G. Bellec Darjan Salaj Anand Subramoney R. Legenstein Wolfgang Maass 111 477 0 26 Mar 2018