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SEENN: Towards Temporal Spiking Early-Exit Neural Networks

SEENN: Towards Temporal Spiking Early-Exit Neural Networks

2 April 2023
Yuhang Li
Tamar Geller
Youngeun Kim
Priyadarshini Panda
ArXivPDFHTML

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

29 / 29 papers shown
Title
PASCAL: Precise and Efficient ANN- SNN Conversion using Spike Accumulation and Adaptive Layerwise Activation
PASCAL: Precise and Efficient ANN- SNN Conversion using Spike Accumulation and Adaptive Layerwise Activation
Pranav Ramesh
Gopalakrishnan Srinivasan
22
0
0
03 May 2025
Temporal Flexibility in Spiking Neural Networks: Towards Generalization Across Time Steps and Deployment Friendliness
Temporal Flexibility in Spiking Neural Networks: Towards Generalization Across Time Steps and Deployment Friendliness
Kangrui Du
Yuhang Wu
Shikuang Deng
Shi Gu
38
0
0
18 Mar 2025
EvoP: Robust LLM Inference via Evolutionary Pruning
EvoP: Robust LLM Inference via Evolutionary Pruning
Shangyu Wu
Hongchao Du
Ying Xiong
Shuai Chen
Tei-Wei Kuo
Nan Guan
Chun Jason Xue
32
1
0
19 Feb 2025
Adaptive Calibration: A Unified Conversion Framework of Spiking Neural
  Network
Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Network
Z. Wang
Yuetong Fang
Jiahang Cao
Hongwei Ren
Renjing Xu
70
2
0
18 Dec 2024
Scaling Spike-driven Transformer with Efficient Spike Firing
  Approximation Training
Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training
Man Yao
Xuerui Qiu
Tianxiang Hu
J. Hu
Yuhong Chou
Keyu Tian
Jianxing Liao
Luziwei Leng
Bo Xu
Guoqi Li
74
4
0
25 Nov 2024
Neuronal Competition Groups with Supervised STDP for Spike-Based
  Classification
Neuronal Competition Groups with Supervised STDP for Spike-Based Classification
Gaspard Goupy
Pierre Tirilly
Ioan Marius Bilasco
24
0
0
22 Oct 2024
Twin Network Augmentation: A Novel Training Strategy for Improved
  Spiking Neural Networks and Efficient Weight Quantization
Twin Network Augmentation: A Novel Training Strategy for Improved Spiking Neural Networks and Efficient Weight Quantization
Lucas Deckers
Benjamin Vandersmissen
Ing Jyh Tsang
W. V. Leekwijck
Steven Latré
MQ
25
1
0
24 Sep 2024
When In-memory Computing Meets Spiking Neural Networks -- A Perspective
  on Device-Circuit-System-and-Algorithm Co-design
When In-memory Computing Meets Spiking Neural Networks -- A Perspective on Device-Circuit-System-and-Algorithm Co-design
Abhishek Moitra
Abhiroop Bhattacharjee
Yuhang Li
Youngeun Kim
Priyadarshini Panda
22
1
0
22 Aug 2024
AT-SNN: Adaptive Tokens for Vision Transformer on Spiking Neural Network
AT-SNN: Adaptive Tokens for Vision Transformer on Spiking Neural Network
Donghwa Kang
Youngmoon Lee
Eun-Kyu Lee
Brent Kang
Jinkyu Lee
Hyeongboo Baek
ViT
18
0
0
22 Aug 2024
Online Pseudo-Zeroth-Order Training of Neuromorphic Spiking Neural
  Networks
Online Pseudo-Zeroth-Order Training of Neuromorphic Spiking Neural Networks
Mingqing Xiao
Qingyan Meng
Zongpeng Zhang
D.K. He
Zhouchen Lin
27
0
0
17 Jul 2024
Toward Efficient Deep Spiking Neuron Networks:A Survey On Compression
Toward Efficient Deep Spiking Neuron Networks:A Survey On Compression
Hui Xie
Ge Yang
Wenjuan Gao
24
1
0
03 Jun 2024
High-Performance Temporal Reversible Spiking Neural Networks with $O(L)$
  Training Memory and $O(1)$ Inference Cost
High-Performance Temporal Reversible Spiking Neural Networks with O(L)O(L)O(L) Training Memory and O(1)O(1)O(1) Inference Cost
Jiakui Hu
Man Yao
Xuerui Qiu
Yuhong Chou
Yuxuan Cai
Ning Qiao
Yonghong Tian
Boxing Xu
Guoqi Li
AI4CE
24
9
0
26 May 2024
Advancing Spiking Neural Networks for Sequential Modeling with Central
  Pattern Generators
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
Changze Lv
Dongqi Han
Yansen Wang
Xiaoqing Zheng
Xuanjing Huang
Dongsheng Li
22
0
0
23 May 2024
Towards free-response paradigm: a theory on decision-making in spiking
  neural networks
Towards free-response paradigm: a theory on decision-making in spiking neural networks
Zhichao Zhu
Yang Qi
Wenlian Lu
Zhigang Wang
Lu Cao
Jianfeng Feng
16
1
0
16 Apr 2024
Direct Training Needs Regularisation: Anytime Optimal Inference Spiking
  Neural Network
Direct Training Needs Regularisation: Anytime Optimal Inference Spiking Neural Network
Dengyu Wu
Yi Qi
Kaiwen Cai
Gao Jin
Xinping Yi
Xiaowei Huang
24
3
0
15 Apr 2024
SpikeMba: Multi-Modal Spiking Saliency Mamba for Temporal Video
  Grounding
SpikeMba: Multi-Modal Spiking Saliency Mamba for Temporal Video Grounding
Wenrui Li
Xiaopeng Hong
Ruiqin Xiong
Xiaopeng Fan
Mamba
47
17
0
01 Apr 2024
Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object
  Recognition with Spiking Neural Network
Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Network
Yongqi Ding
Lin Zuo
Mengmeng Jing
Pei He
Yongjun Xiao
24
16
0
02 Jan 2024
Spiking Neural Networks with Dynamic Time Steps for Vision Transformers
Spiking Neural Networks with Dynamic Time Steps for Vision Transformers
Gourav Datta
Zeyu Liu
Anni Li
P. Beerel
17
1
0
28 Nov 2023
Agreeing to Stop: Reliable Latency-Adaptive Decision Making via
  Ensembles of Spiking Neural Networks
Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural Networks
Jiechen Chen
Sangwoo Park
Osvaldo Simeone
17
4
0
25 Oct 2023
Are SNNs Truly Energy-efficient? $-$ A Hardware Perspective
Are SNNs Truly Energy-efficient? −-− A Hardware Perspective
Abhiroop Bhattacharjee
Ruokai Yin
Abhishek Moitra
Priyadarshini Panda
17
7
0
06 Sep 2023
Sharing Leaky-Integrate-and-Fire Neurons for Memory-Efficient Spiking
  Neural Networks
Sharing Leaky-Integrate-and-Fire Neurons for Memory-Efficient Spiking Neural Networks
Youngeun Kim
Yuhang Li
Abhishek Moitra
Ruokai Yin
Priyadarshini Panda
23
10
0
26 May 2023
Knowing When to Stop: Delay-Adaptive Spiking Neural Network Classifiers
  with Reliability Guarantees
Knowing When to Stop: Delay-Adaptive Spiking Neural Network Classifiers with Reliability Guarantees
Jiechen Chen
Sangwoo Park
Osvaldo Simeone
13
8
0
18 May 2023
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency
  Spiking Neural Networks
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
105
193
0
08 Mar 2023
Optimising Event-Driven Spiking Neural Network with Regularisation and Cutoff
Optimising Event-Driven Spiking Neural Network with Regularisation and Cutoff
Dengyu Wu
Gao Jin
Han Yu
Xinping Yi
Xiaowei Huang
19
2
0
23 Jan 2023
Temporal Efficient Training of Spiking Neural Network via Gradient
  Re-weighting
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting
Shi-Wee Deng
Yuhang Li
Shanghang Zhang
Shi Gu
112
242
0
24 Feb 2022
Optimized Potential Initialization for Low-latency Spiking Neural
  Networks
Optimized Potential Initialization for Low-latency Spiking Neural Networks
Tong Bu
Jianhao Ding
Zhaofei Yu
Tiejun Huang
99
87
0
03 Feb 2022
Optimal Conversion of Conventional Artificial Neural Networks to Spiking
  Neural Networks
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks
Shi-Wee Deng
Shi Gu
116
197
0
28 Feb 2021
Deep Residual Learning in Spiking Neural Networks
Deep Residual Learning in Spiking Neural Networks
Wei Fang
Zhaofei Yu
Yanqing Chen
Tiejun Huang
T. Masquelier
Yonghong Tian
121
470
0
08 Feb 2021
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike
  Timing Dependent Backpropagation
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation
Nitin Rathi
G. Srinivasan
Priyadarshini Panda
Kaushik Roy
116
292
0
04 May 2020
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