On-chip Few-shot Learning with Surrogate Gradient Descent on a
Neuromorphic Processor

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On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor

11 October 2019

Kenneth Stewart

Garrick Orchard

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Papers citing "On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor"

8 / 8 papers shown

Title
Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning Qi Xu J. Zhu D. Zhou Hao Chen Yang Liu Jiangrong Shen Qiang Zhang 108 0 0 12 May 2025
Spiking Neural Networks for Frame-based and Event-based Single Object Localization Sami Barchid José Mennesson J. Eshraghian Chaabane Djéraba Bennamoun 63 33 0 13 Jun 2022
Spiking Generative Adversarial Networks With a Neural Network Discriminator: Local Training, Bayesian Models, and Continual Meta-Learning Bleema Rosenfeld Osvaldo Simeone Bipin Rajendran GAN 69 16 0 02 Nov 2021
H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks Ling Liang Zheng Qu Zhaodong Chen Fengbin Tu Yujie Wu Lei Deng Guoqi Li Peng Li Yuan Xie 69 28 0 25 Jul 2021
The Backpropagation Algorithm Implemented on Spiking Neuromorphic Hardware Alpha Renner F. Sheldon Anatoly Zlotnik L. Tao A. Sornborger 83 41 0 13 Jun 2021
Fast On-Device Adaptation for Spiking Neural Networks via Online-Within-Online Meta-Learning Bleema Rosenfeld Bipin Rajendran Osvaldo Simeone OffRL 99 9 0 21 Feb 2021
One-Shot Federated Learning with Neuromorphic Processors Kenneth Stewart Yanqi Gu FedML 53 2 0 01 Nov 2020
Is Neuromorphic MNIST neuromorphic? Analyzing the discriminative power of neuromorphic datasets in the time domain Laxmi R. Iyer Yansong Chua Haizhou Li 71 55 0 03 Jul 2018