Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks

9 August 2023

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Papers citing "Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks"

33 / 33 papers shown

Title
STAA-SNN: Spatial-Temporal Attention Aggregator for Spiking Neural Networks Tianqing Zhang Kairong Yu Xian Zhong Hongwei Wang Qi Xu Qiang Zhang 116 1 0 04 Mar 2025
Revisiting Random Channel Pruning for Neural Network Compression Yawei Li Kamil Adamczewski Wen Li Shuhang Gu Radu Timofte Luc Van Gool 88 86 0 11 May 2022
Unified Visual Transformer Compression Shixing Yu Tianlong Chen Jiayi Shen Huan Yuan Jianchao Tan Sen Yang Ji Liu Zhangyang Wang ViT 50 94 0 15 Mar 2022
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting Shi-Wee Deng Yuhang Li Shanghang Zhang Shi Gu 200 256 0 24 Feb 2022
Event-based Video Reconstruction via Potential-assisted Spiking Neural Network Lin Zhu Tianlin Li Yi Chang Jianing Li Tiejun Huang Yonghong Tian 65 97 0 25 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 63 192 0 13 Jun 2021
Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural Networks Sayeed Shafayet Chowdhury Isha Garg Kaushik Roy 48 40 0 26 Apr 2021
Carrying out CNN Channel Pruning in a White Box Yuxin Zhang Mingbao Lin Chia-Wen Lin Jie Chen Feiyue Huang Yongjian Wu Yonghong Tian Rongrong Ji VLM 48 60 0 24 Apr 2021
Deep Residual Learning in Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen Tiejun Huang T. Masquelier Yonghong Tian 164 496 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 141 527 0 11 Jul 2020
ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting Xiaohan Ding Tianxiang Hao Jianchao Tan Ji Liu Jungong Han Yuchen Guo Guiguang Ding 67 166 0 07 Jul 2020
Exploring the Connection Between Binary and Spiking Neural Networks Sen Lu Abhronil Sengupta MQ 68 103 0 24 Feb 2020
Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization Lei Deng Yujie Wu Yifan Hu Ling Liang Guoqi Li Xing Hu Yufei Ding Peng Li Yuan Xie 70 85 0 03 Nov 2019
Once-for-All: Train One Network and Specialize it for Efficient Deployment Han Cai Chuang Gan Tianzhe Wang Zhekai Zhang Song Han OOD 105 1,281 0 26 Aug 2019
Learning Filter Basis for Convolutional Neural Network Compression Yawei Li Shuhang Gu Luc Van Gool Radu Timofte SupR 57 99 0 23 Aug 2019
Importance Estimation for Neural Network Pruning Pavlo Molchanov Arun Mallya Stephen Tyree I. Frosio Jan Kautz 3DPC 78 882 0 25 Jun 2019
What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization? Chi Jin Praneeth Netrapalli Michael I. Jordan 94 84 0 02 Feb 2019
Rethinking the Value of Network Pruning Zhuang Liu Mingjie Sun Tinghui Zhou Gao Huang Trevor Darrell 36 1,470 0 11 Oct 2018
Direct Training for Spiking Neural Networks: Faster, Larger, Better Yujie Wu Lei Deng Guoqi Li Jun Zhu Luping Shi 76 656 0 16 Sep 2018
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications Tien-Ju Yang Andrew G. Howard Bo Chen Xiao Zhang Alec Go Mark Sandler Vivienne Sze Hartwig Adam 136 521 0 09 Apr 2018
Long short-term memory and learning-to-learn in networks of spiking neurons G. Bellec Darjan Salaj Anand Subramoney Robert Legenstein Wolfgang Maass 146 489 0 26 Mar 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 240 3,473 0 09 Mar 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices Yihui He Ji Lin Zhijian Liu Hanrui Wang Li Li Song Han 95 1,347 0 10 Feb 2018
STDP Based Pruning of Connections and Weight Quantization in Spiking Neural Networks for Energy Efficient Recognition Nitin Rathi Priyadarshini Panda Kaushik Roy 52 113 0 12 Oct 2017
Learning Efficient Convolutional Networks through Network Slimming Zhuang Liu Jianguo Li Zhiqiang Shen Gao Huang Shoumeng Yan Changshui Zhang 125 2,421 0 22 Aug 2017
Channel Pruning for Accelerating Very Deep Neural Networks Yihui He Xiangyu Zhang Jian Sun 204 2,525 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 1,022 0 08 Jun 2017
Training Deep Spiking Neural Networks using Backpropagation Junhaeng Lee T. Delbruck Michael Pfeiffer 92 945 0 31 Aug 2016
Pruning Filters for Efficient ConvNets Hao Li Asim Kadav Igor Durdanovic H. Samet H. Graf 3DPC 193 3,697 0 31 Aug 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 261 8,842 0 01 Oct 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 313 6,681 0 08 Jun 2015
Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition V. Lebedev Yaroslav Ganin M. Rakhuba Ivan Oseledets Victor Lempitsky 63 884 0 19 Dec 2014
Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization Xiao-Tong Yuan Ping Li Tong Zhang 176 113 0 22 Nov 2013