v1v2 (latest)

InfLoR-SNN: Reducing Information Loss for Spiking Neural Networks

10 July 2023

Papers citing "InfLoR-SNN: Reducing Information Loss for Spiking Neural Networks"

35 / 35 papers shown

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 59 41 0 16 Aug 2023
RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks Yu-Zhu Guo Xiaode Liu Y. Chen Liwen Zhang Weihang Peng Yuhan Zhang Xuhui Huang Zhe Ma AAML MQ 71 24 0 13 Aug 2023
Direct Learning-Based Deep Spiking Neural Networks: A Review Yu-Zhu Guo Xuhui Huang Zhe Ma AI4CE 114 52 0 31 May 2023
Joint A-SNN: Joint Training of Artificial and Spiking Neural Networks via Self-Distillation and Weight Factorization Yu-Zhu Guo Weihang Peng Y. Chen Liwen Zhang Xiaode Liu Xuhui Huang Zhe Ma 160 39 0 03 May 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 143 206 0 08 Mar 2023
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting Shi-Wee Deng Yuhang Li Shanghang Zhang Shi Gu 203 256 0 24 Feb 2022
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration Yuhang Li Shi-Wee Deng Xin Dong Ruihao Gong Shi Gu 66 195 0 13 Jun 2021
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction Yuhang Li Ruihao Gong Xu Tan Yang Yang Peng Hu Qi Zhang F. Yu Wei Wang Shi Gu MQ 138 442 0 10 Feb 2021
Deep Residual Learning in Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen Tiejun Huang T. Masquelier Yonghong Tian 169 500 0 08 Feb 2021
Going Deeper With Directly-Trained Larger Spiking Neural Networks Hanle Zheng Yujie Wu Lei Deng Yifan Hu Guoqi Li 69 527 0 29 Oct 2020
DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks Nitin Rathi Kaushik Roy 81 135 0 09 Aug 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 155 530 0 11 Jul 2020
Training Deep Spiking Neural Networks Eimantas Ledinauskas J. Ruseckas Alfonsas Jursenas Giedrius Burachas 93 55 0 08 Jun 2020
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation Nitin Rathi G. Srinivasan Priyadarshini Panda Kaushik Roy 166 303 0 04 May 2020
T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding Seongsik Park Seijoon Kim Byunggook Na Sungroh Yoon 72 124 0 26 Mar 2020
RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network Bing Han G. Srinivasan Kaushik Roy 74 317 0 25 Feb 2020
Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks Wenrui Zhang Peng Li 71 221 0 24 Feb 2020
Exploring the Connection Between Binary and Spiking Neural Networks Sen Lu Abhronil Sengupta MQ 68 103 0 24 Feb 2020
Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks Yuhang Li Xin Dong Wei Wang MQ 64 259 0 28 Sep 2019
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks Ruihao Gong Xianglong Liu Shenghu Jiang Tian-Hao Li Peng Hu Jiazhen Lin F. Yu Junjie Yan MQ 70 459 0 14 Aug 2019
Enabling Spike-based Backpropagation for Training Deep Neural Network Architectures Chankyu Lee Syed Shakib Sarwar Priyadarshini Panda G. Srinivasan Kaushik Roy 76 398 0 15 Mar 2019
Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection Seijoon Kim Seongsik Park Byunggook Na Sungroh Yoon ObjD 62 420 0 12 Mar 2019
Surrogate Gradient Learning in Spiking Neural Networks Emre Neftci Hesham Mostafa Friedemann Zenke 99 1,240 0 28 Jan 2019
Direct Training for Spiking Neural Networks: Faster, Larger, Better Yujie Wu Lei Deng Guoqi Li Jun Zhu Luping Shi 76 660 0 16 Sep 2018
Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks Seongsik Park Seijoon Kim Hyeokjun Choe Sungroh Yoon 56 94 0 10 Sep 2018
AutoAugment: Learning Augmentation Policies from Data E. D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le 135 1,775 0 24 May 2018
Model compression via distillation and quantization A. Polino Razvan Pascanu Dan Alistarh MQ 86 732 0 15 Feb 2018
Going Deeper in Spiking Neural Networks: VGG and Residual Architectures Abhronil Sengupta Yuting Ye Robert Y. Wang Chiao Liu Kaushik Roy 78 1,006 0 07 Feb 2018
Improved Regularization of Convolutional Neural Networks with Cutout Terrance Devries Graham W. Taylor 129 3,774 0 15 Aug 2017
Channel Pruning for Accelerating Very Deep Neural Networks Yihui He Xiangyu Zhang Jian Sun 204 2,529 0 19 Jul 2017
Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks Yujie Wu Lei Deng Guoqi Li Jun Zhu Luping Shi 64 1,027 0 08 Jun 2017
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 350 8,174 0 13 Aug 2016
Simple Online and Realtime Tracking Alex Bewley Zongyuan Ge Lionel Ott F. Ramos B. Upcroft VOT 86 3,104 0 02 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.9K 77,378 0 18 May 2015