Towards Low-Latency Energy-Efficient Deep SNNs via Attention-Guided Compression

16 July 2021

Papers citing "Towards Low-Latency Energy-Efficient Deep SNNs via Attention-Guided Compression"

5 / 5 papers shown

Title
In-Sensor & Neuromorphic Computing are all you need for Energy Efficient Computer Vision Gourav Datta Zeyu Liu Md. Abdullah-Al Kaiser Souvik Kundu Joe Mathai Zihan Yin Ajey P. Jacob Akhilesh R. Jaiswal P. Beerel 26 12 0 21 Dec 2022
Towards Energy-Efficient, Low-Latency and Accurate Spiking LSTMs Gourav Datta Haoqing Deng R. Aviles P. Beerel 93 10 0 23 Oct 2022
HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training with Crafted Input Noise Souvik Kundu Massoud Pedram P. Beerel AAML 22 71 0 06 Oct 2021
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation Nitin Rathi G. Srinivasan Priyadarshini Panda Kaushik Roy 124 294 0 04 May 2020
Long short-term memory and learning-to-learn in networks of spiking neurons G. Bellec Darjan Salaj Anand Subramoney Robert Legenstein Wolfgang Maass 121 481 0 26 Mar 2018