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Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks

8 May 2025

Papers citing "Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks"

32 / 32 papers shown

Title
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors Jonghyun Lee Dahuin Jung Saehyung Lee Junsung Park Juhyeon Shin Uiwon Hwang Sungroh Yoon TTA AAML 71 42 0 12 Mar 2024
Darwin3: A large-scale neuromorphic chip with a Novel ISA and On-Chip Learning De Ma Xiaofei Jin Shichun Sun Yitao Li Xundong Wu ... Fangchao Yang Huajin Tang Xiaolei Zhu Peng Lin Gang Pan AI4CE 142 29 0 29 Dec 2023
SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence Wei Fang Yanqing Chen Jianhao Ding Zhaofei Yu T. Masquelier Ding Chen Liwei Huang Huihui Zhou Guoqi Li Yonghong Tian 121 238 0 25 Oct 2023
Membrane Potential Batch Normalization for Spiking Neural Networks Yu-Zhu Guo Yuhan Zhang Y. Chen Weihang Peng Xiaode Liu Liwen Zhang Xuhui Huang Zhe Ma AAML 70 41 0 16 Aug 2023
Speck: A Smart event-based Vision Sensor with a low latency 327K Neuron Convolutional Neuronal Network Processing Pipeline Ole Richter Y. Xing M. D. Marchi Carsten Nielsen M. Katsimpris ... SynSense Bio-Inspired Circuits Sadique Sheik T. Demirci Groningen Cognitive Systems 94 62 0 13 Apr 2023
Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation Yushun Tang Ce Zhang Heng Xu Shuoshuo Chen Jie Cheng Luziwei Leng Qinghai Guo Zhihai He TTA 105 25 0 02 Mar 2023
Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks Qingyan Meng Mingqing Xiao Shen Yan Yisen Wang Zhouchen Lin Zhimin Luo 109 44 0 28 Feb 2023
Towards Stable Test-Time Adaptation in Dynamic Wild World Shuaicheng Niu Jiaxiang Wu Yifan Zhang Z. Wen Yaofo Chen P. Zhao Mingkui Tan TTA 116 282 0 24 Feb 2023
ReckOn: A 28nm Sub-mm2 Task-Agnostic Spiking Recurrent Neural Network Processor Enabling On-Chip Learning over Second-Long Timescales Charlotte Frenkel Giacomo Indiveri 73 103 0 20 Aug 2022
NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation Taesik Gong Jongheon Jeong Taewon Kim Yewon Kim Jinwoo Shin Sung-Ju Lee OOD TTA 134 132 0 10 Aug 2022
Test-Time Adaptation via Self-Training with Nearest Neighbor Information M-U Jang Sae-Young Chung Hye Won Chung OOD TTA 105 63 0 08 Jul 2022
Object Detection with Spiking Neural Networks on Automotive Event Data Loic Cordone Benoit Miramond Philippe Thiérion 88 106 0 09 May 2022
Efficient Test-Time Model Adaptation without Forgetting Shuaicheng Niu Jiaxiang Wu Yifan Zhang Yaofo Chen S. Zheng P. Zhao Mingkui Tan OOD VLM TTA 100 354 0 06 Apr 2022
Continual Test-Time Domain Adaptation Qin Wang Olga Fink Luc Van Gool Dengxin Dai OOD TTA 122 434 0 25 Mar 2022
Parameter-free Online Test-time Adaptation Malik Boudiaf Romain Mueller Ismail Ben Ayed Luca Bertinetto TTA 72 153 0 15 Jan 2022
The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization M. Jehanzeb Mirza Jakub Micorek Horst Possegger Horst Bischof 91 134 0 01 Dec 2021
Deep Residual Learning in Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen Tiejun Huang T. Masquelier Yonghong Tian 255 505 0 08 Feb 2021
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen T. Masquelier Tiejun Huang Yonghong Tian 186 534 0 11 Jul 2020
Improving robustness against common corruptions by covariate shift adaptation Steffen Schneider E. Rusak L. Eck Oliver Bringmann Wieland Brendel Matthias Bethge VLM 112 486 0 30 Jun 2020
Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift Zachary Nado Shreyas Padhy D. Sculley Alexander DÁmour Balaji Lakshminarayanan Jasper Snoek OOD AI4TS 149 251 0 19 Jun 2020
Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction Alireza Samadzadeh Fatemeh Sadat Tabatabaei Far Ali Javadi A. Nickabadi M. Chehreghani 109 55 0 27 Mar 2020
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty Dan Hendrycks Norman Mu E. D. Cubuk Barret Zoph Justin Gilmer Balaji Lakshminarayanan OOD UQCV 251 1,314 0 05 Dec 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations Dan Hendrycks Thomas G. Dietterich OOD VLM 247 3,465 0 28 Mar 2019
Surrogate Gradient Learning in Spiking Neural Networks Emre Neftci Hesham Mostafa Friedemann Zenke 150 1,258 0 28 Jan 2019
Direct Training for Spiking Neural Networks: Faster, Larger, Better Yujie Wu Lei Deng Guoqi Li Jun Zhu Luping Shi 82 667 0 16 Sep 2018
Long short-term memory and learning-to-learn in networks of spiking neurons G. Bellec Darjan Salaj Anand Subramoney Robert Legenstein Wolfgang Maass 180 491 0 26 Mar 2018
Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks Yujie Wu Lei Deng Guoqi Li Jun Zhu Luping Shi 139 1,041 0 08 Jun 2017
Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing S. K. Esser P. Merolla John V. Arthur A. Cassidy R. Appuswamy ... Pallab Datta A. Amir B. Taba M. Flickner D. Modha 3DH 96 718 0 28 Mar 2016
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 621 9,560 0 28 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 918 43,420 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.6K 150,708 0 22 Dec 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.8K 39,737 0 01 Sep 2014