SEENN: Towards Temporal Spiking Early-Exit Neural Networks

2 April 2023

Yuhang Li

Tamar Geller

Youngeun Kim

Priyadarshini Panda

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Papers citing "SEENN: Towards Temporal Spiking Early-Exit Neural Networks"

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Title
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 44 41 0 16 Aug 2023
ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks Jiangrong Shen Qi Xu Jian K. Liu Yueming Wang Gang Pan Huajin Tang 40 42 0 06 Jun 2023
Direct Learning-Based Deep Spiking Neural Networks: A Review Yu-Zhu Guo Xuhui Huang Zhe Ma AI4CE 98 52 0 31 May 2023
Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation Qi Xu Yaxin Li Jiangrong Shen Jian K. Liu Huajin Tang Gang Pan 39 68 0 12 Apr 2023
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks Tong Bu Wei Fang Jianhao Ding Penglin Dai Zhaofei Yu Tiejun Huang 133 205 0 08 Mar 2023
Hoyer regularizer is all you need for ultra low-latency spiking neural networks Gourav Datta Zeyu Liu Peter A. Beerel 68 9 0 20 Dec 2022
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting Shi-Wee Deng Yuhang Li Shanghang Zhang Shi Gu 185 256 0 24 Feb 2022
Optimized Potential Initialization for Low-latency Spiking Neural Networks Tong Bu Jianhao Ding Zhaofei Yu Tiejun Huang 134 90 0 03 Feb 2022
Neural Architecture Search for Spiking Neural Networks Youngeun Kim Yuhang Li Hyoungseob Park Yeshwanth Venkatesha Priyadarshini Panda 88 91 0 23 Jan 2022
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration Yuhang Li Shi-Wee Deng Xin Dong Ruihao Gong Shi Gu 58 191 0 13 Jun 2021
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks Shi-Wee Deng Shi Gu 151 204 0 28 Feb 2021
Dynamic Neural Networks: A Survey Yizeng Han Gao Huang Shiji Song Le Yang Honghui Wang Yulin Wang 3DH AI4TS AI4CE 87 649 0 09 Feb 2021
Deep Residual Learning in Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen Tiejun Huang T. Masquelier Yonghong Tian 157 493 0 08 Feb 2021
Going Deeper With Directly-Trained Larger Spiking Neural Networks Hanle Zheng Yujie Wu Lei Deng Yifan Hu Guoqi Li 61 516 0 29 Oct 2020
Revisiting Batch Normalization for Training Low-latency Deep Spiking Neural Networks from Scratch Youngeun Kim Priyadarshini Panda 90 174 0 05 Oct 2020
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen T. Masquelier Tiejun Huang Yonghong Tian 128 523 0 11 Jul 2020
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation Nitin Rathi G. Srinivasan Priyadarshini Panda Kaushik Roy 150 301 0 04 May 2020
RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network Bing Han G. Srinivasan Kaushik Roy 59 315 0 25 Feb 2020
CondConv: Conditionally Parameterized Convolutions for Efficient Inference Brandon Yang Gabriel Bender Quoc V. Le Jiquan Ngiam MedIm 3DV 67 632 0 10 Apr 2019
Direct Training for Spiking Neural Networks: Faster, Larger, Better Yujie Wu Lei Deng Guoqi Li Jun Zhu Luping Shi 73 653 0 16 Sep 2018
SLAYER: Spike Layer Error Reassignment in Time S. Shrestha Garrick Orchard 54 749 0 05 Sep 2018
Deep Learning in Spiking Neural Networks A. Tavanaei M. Ghodrati Saeed Reza Kheradpisheh T. Masquelier Anthony Maida 55 1,071 0 22 Apr 2018
Going Deeper in Spiking Neural Networks: VGG and Residual Architectures Abhronil Sengupta Yuting Ye Robert Y. Wang Chiao Liu Kaushik Roy 76 1,000 0 07 Feb 2018
SkipNet: Learning Dynamic Routing in Convolutional Networks Xin Wang Feng Yu Zi-Yi Dou Trevor Darrell Joseph E. Gonzalez 87 633 0 26 Nov 2017
BlockDrop: Dynamic Inference Paths in Residual Networks Zuxuan Wu Tushar Nagarajan Abhishek Kumar Steven J. Rennie L. Davis Kristen Grauman Rogerio Feris 87 466 0 22 Nov 2017
BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks Surat Teerapittayanon Bradley McDanel H. T. Kung UQCV 83 1,139 0 06 Sep 2017
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 399 26,365 0 05 Sep 2017
Improved Regularization of Convolutional Neural Networks with Cutout Terrance Devries Graham W. Taylor 107 3,758 0 15 Aug 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 285 5,812 0 14 Jun 2017
Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks Yujie Wu Lei Deng Guoqi Li Jun Zhu Luping Shi 60 1,019 0 08 Jun 2017
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon Xin Luna Dong Shangyu Chen Sinno Jialin Pan 164 504 0 22 May 2017
Theory and Tools for the Conversion of Analog to Spiking Convolutional Neural Networks Bodo Rueckauer Iulia-Alexandra Lungu Yuhuang Hu Michael Pfeiffer 46 123 0 13 Dec 2016
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 288 8,091 0 13 Aug 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.1K 193,426 0 10 Dec 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 245 8,821 0 01 Oct 2015
Conditional Deep Learning for Energy-Efficient and Enhanced Pattern Recognition Priyadarshini Panda Abhronil Sengupta Kaushik Roy 33 181 0 29 Sep 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.5K 100,213 0 04 Sep 2014