ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2008.03658
  4. Cited By
DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization
  in Deep Spiking Neural Networks
v1v2v3 (latest)

DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks

9 August 2020
Nitin Rathi
Kaushik Roy
ArXiv (abs)PDFHTML

Papers citing "DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks"

50 / 100 papers shown
Title
ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks
ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks
Yufei Guo
Yuhan Zhang
Zhou Jie
Xiaode Liu
Xin Tong
Y. Chen
Weihang Peng
Zhe Ma
MQ
12
0
0
09 Jun 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
77
0
0
18 Mar 2025
DTA: Dual Temporal-channel-wise Attention for Spiking Neural Networks
Minje Kim
Minjun Kim
Xu Yang
96
0
0
13 Mar 2025
ST-FlowNet: An Efficient Spiking Neural Network for Event-Based Optical Flow Estimation
ST-FlowNet: An Efficient Spiking Neural Network for Event-Based Optical Flow Estimation
Hongze Sun
Jun Wang
Wuque Cai
Duo Chen
Qianqian Liao
Jiayi He
Yan Cui
D. Yao
Daqing Guo
174
0
0
13 Mar 2025
Spiking Transformer:Introducing Accurate Addition-Only Spiking Self-Attention for Transformer
Spiking Transformer:Introducing Accurate Addition-Only Spiking Self-Attention for Transformer
Yufei Guo
Xiaode Liu
Y. Chen
Weihang Peng
Yuhan Zhang
Zhe Ma
MQ
121
2
0
28 Feb 2025
Spiking Neural Network Feature Discrimination Boosts Modality Fusion
Spiking Neural Network Feature Discrimination Boosts Modality Fusion
Katerina Maria Oikonomou
Ioannis Kansizoglou
Antonios Gasteratos
108
0
0
05 Feb 2025
Neuromorphic Optical Tracking and Imaging of Randomly Moving Targets through Strongly Scattering Media
Neuromorphic Optical Tracking and Imaging of Randomly Moving Targets through Strongly Scattering Media
Ning Zhang
Timothy Shea
A. Nurmikko
95
0
0
07 Jan 2025
TSkips: Efficiency Through Explicit Temporal Delay Connections in
  Spiking Neural Networks
TSkips: Efficiency Through Explicit Temporal Delay Connections in Spiking Neural Networks
Prajna G. Malettira
Shubham Negi
Wachirawit Ponghiran
Kaushik Roy
AI4TS
116
1
0
22 Nov 2024
Deep activity propagation via weight initialization in spiking neural networks
Deep activity propagation via weight initialization in spiking neural networks
Aurora Micheli
Olaf Booij
Jan van Gemert
Nergis Tömen
100
0
0
01 Oct 2024
Spiking Transformer with Spatial-Temporal Attention
Spiking Transformer with Spatial-Temporal Attention
Donghyun Lee
Yuhang Li
Youngeun Kim
Shiting Xiao
Priyadarshini Panda
78
3
0
29 Sep 2024
DS2TA: Denoising Spiking Transformer with Attenuated Spatiotemporal
  Attention
DS2TA: Denoising Spiking Transformer with Attenuated Spatiotemporal Attention
Boxun Xu
Hejia Geng
Yuxuan Yin
Peng Li
AI4TS
132
0
0
20 Sep 2024
ReSpike: Residual Frames-based Hybrid Spiking Neural Networks for
  Efficient Action Recognition
ReSpike: Residual Frames-based Hybrid Spiking Neural Networks for Efficient Action Recognition
Shiting Xiao
Yuhang Li
Youngeun Kim
Donghyun Lee
Priyadarshini Panda
84
1
0
03 Sep 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
76
0
0
22 Aug 2024
Directly Training Temporal Spiking Neural Network with Sparse Surrogate
  Gradient
Directly Training Temporal Spiking Neural Network with Sparse Surrogate Gradient
Yang Li
Feifei Zhao
Dongcheng Zhao
Yi Zeng
75
3
0
28 Jun 2024
When Spiking neural networks meet temporal attention image decoding and
  adaptive spiking neuron
When Spiking neural networks meet temporal attention image decoding and adaptive spiking neuron
Xuerui Qiu
Zheng Luan
Zhaorui Wang
Rui-jie Zhu
102
5
0
05 Jun 2024
Fourier or Wavelet bases as counterpart self-attention in spikformer for
  efficient visual classification
Fourier or Wavelet bases as counterpart self-attention in spikformer for efficient visual classification
Qingyu Wang
Duzhen Zhang
Tilelin Zhang
Bo Xu
82
1
0
27 Mar 2024
Take A Shortcut Back: Mitigating the Gradient Vanishing for Training
  Spiking Neural Networks
Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks
Yu-Zhu Guo
Y. Chen
72
5
0
09 Jan 2024
Training a General Spiking Neural Network with Improved Efficiency and
  Minimum Latency
Training a General Spiking Neural Network with Improved Efficiency and Minimum Latency
Yunpeng Yao
Man Wu
Zheng Chen
Renyuan Zhang
90
0
0
05 Jan 2024
Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN
  Ticket
Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket
Zhaokun Zhou
Kaiwei Che
Wei Fang
Keyu Tian
Yuesheng Zhu
Shuicheng Yan
Yonghong Tian
Liuliang Yuan
ViT
112
33
0
04 Jan 2024
Memory-Efficient Reversible Spiking Neural Networks
Memory-Efficient Reversible Spiking Neural Networks
Hong Zhang
Yu Zhang
71
9
0
13 Dec 2023
When Bio-Inspired Computing meets Deep Learning: Low-Latency, Accurate,
  & Energy-Efficient Spiking Neural Networks from Artificial Neural Networks
When Bio-Inspired Computing meets Deep Learning: Low-Latency, Accurate, & Energy-Efficient Spiking Neural Networks from Artificial Neural Networks
Gourav Datta
Zeyu Liu
James Diffenderfer
B. Kailkhura
Peter A. Beerel
125
1
0
12 Dec 2023
Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks
Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks
Yu-Zhu Guo
Y. Chen
Xiaode Liu
Weihang Peng
Yuhan Zhang
Xuhui Huang
Zhe Ma
75
32
0
11 Dec 2023
Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking
  Neural networks: from Algorithms to Technology
Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking Neural networks: from Algorithms to Technology
Souvik Kundu
Rui-jie Zhu
Akhilesh R. Jaiswal
Peter A. Beerel
81
4
0
02 Dec 2023
DISTA: Denoising Spiking Transformer with intrinsic plasticity and
  spatiotemporal attention
DISTA: Denoising Spiking Transformer with intrinsic plasticity and spatiotemporal attention
Boxun Xu
Hejia Geng
Yuxuan Yin
Peng Li
77
2
0
15 Nov 2023
Spiking PointNet: Spiking Neural Networks for Point Clouds
Spiking PointNet: Spiking Neural Networks for Point Clouds
Dayong Ren
Zhe Ma
Y. Chen
Weihang Peng
Xiaode Liu
Yuhan Zhang
Yu-Zhu Guo
3DH3DPC
62
29
0
10 Oct 2023
SpikeCLIP: A Contrastive Language-Image Pretrained Spiking Neural Network
SpikeCLIP: A Contrastive Language-Image Pretrained Spiking Neural Network
Changze Lv
Tianlong Li
Changze Lv
Yufei Gu
Jianhan Xu
Cenyuan Zhang
Muling Wu
Xiaoqing Zheng
Xuanjing Huang
CLIPVLM
155
3
0
10 Oct 2023
Event-Enhanced Multi-Modal Spiking Neural Network for Dynamic Obstacle
  Avoidance
Event-Enhanced Multi-Modal Spiking Neural Network for Dynamic Obstacle Avoidance
Yang Wang
Bo Dong
Yuji Zhang
Yunduo Zhou
Haiyang Mei
Ziqi Wei
Xin Yang
69
5
0
03 Oct 2023
Brain-inspired Evolutionary Architectures for Spiking Neural Networks
Brain-inspired Evolutionary Architectures for Spiking Neural Networks
Wenxuan Pan
Feifei Zhao
Zhuoya Zhao
Yi Zeng
83
3
0
11 Sep 2023
Membrane Potential Batch Normalization for Spiking Neural Networks
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
RMP-Loss: Regularizing Membrane Potential Distribution for Spiking
  Neural Networks
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
AAMLMQ
96
24
0
13 Aug 2023
Attention-free Spikformer: Mixing Spike Sequences with Simple Linear
  Transforms
Attention-free Spikformer: Mixing Spike Sequences with Simple Linear Transforms
Qingyu Wang
Duzhen Zhang
Tielin Zhang
Bo Xu
71
3
0
02 Aug 2023
InfLoR-SNN: Reducing Information Loss for Spiking Neural Networks
InfLoR-SNN: Reducing Information Loss for Spiking Neural Networks
Yu-Zhu Guo
Y. Chen
Liwen Zhang
Xiaode Liu
Xinyi Tong
Yuanyuan Ou
Xuhui Huang
Zhe Ma
AAML
90
2
0
10 Jul 2023
Deep Unsupervised Learning Using Spike-Timing-Dependent Plasticity
Deep Unsupervised Learning Using Spike-Timing-Dependent Plasticity
Sen Lu
Abhronil Sengupta
BDL
114
7
0
08 Jul 2023
AutoST: Training-free Neural Architecture Search for Spiking
  Transformers
AutoST: Training-free Neural Architecture Search for Spiking Transformers
Ziqing Wang
Qidong Zhao
Jinku Cui
Xu Liu
Dongkuan Xu
70
5
0
01 Jul 2023
Auto-Spikformer: Spikformer Architecture Search
Auto-Spikformer: Spikformer Architecture Search
Kaiwei Che
Zhaokun Zhou
Zhengyu Ma
Wei Fang
Yanqing Chen
Shuaijie Shen
Liuliang Yuan
Yonghong Tian
109
8
0
01 Jun 2023
Direct Learning-Based Deep Spiking Neural Networks: A Review
Direct Learning-Based Deep Spiking Neural Networks: A Review
Yu-Zhu Guo
Xuhui Huang
Zhe Ma
AI4CE
134
54
0
31 May 2023
Exploiting Noise as a Resource for Computation and Learning in Spiking
  Neural Networks
Exploiting Noise as a Resource for Computation and Learning in Spiking Neural Networks
Gehua (Marcus) Ma
Rui Yan
Huajin Tang
145
22
0
25 May 2023
Improving Stability and Performance of Spiking Neural Networks through
  Enhancing Temporal Consistency
Improving Stability and Performance of Spiking Neural Networks through Enhancing Temporal Consistency
Dongcheng Zhao
Guobin Shen
Yiting Dong
Yang Li
Yi Zeng
90
7
0
23 May 2023
Enhancing the Performance of Transformer-based Spiking Neural Networks
  by SNN-optimized Downsampling with Precise Gradient Backpropagation
Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation
Chenlin Zhou
Han Zhang
Zhaokun Zhou
Liutao Yu
Zhengyu Ma
Huihui Zhou
Xiaopeng Fan
Yonghong Tian
73
10
0
10 May 2023
Joint A-SNN: Joint Training of Artificial and Spiking Neural Networks
  via Self-Distillation and Weight Factorization
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
168
39
0
03 May 2023
Uncovering the Representation of Spiking Neural Networks Trained with
  Surrogate Gradient
Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient
Yuhang Li
Youngeun Kim
Hyoungseob Park
Priyadarshini Panda
113
16
0
25 Apr 2023
Spikingformer: Spike-driven Residual Learning for Transformer-based
  Spiking Neural Network
Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network
Chenlin Zhou
Liutao Yu
Zhaokun Zhou
Zhengyu Ma
Han Zhang
Huihui Zhou
Yonghong Tian
96
67
0
24 Apr 2023
Temporal Knowledge Sharing enable Spiking Neural Network Learning from
  Past and Future
Temporal Knowledge Sharing enable Spiking Neural Network Learning from Past and Future
Yiting Dong
Dongcheng Zhao
Yi Zeng
81
10
0
13 Apr 2023
MSAT: Biologically Inspired Multi-Stage Adaptive Threshold for
  Conversion of Spiking Neural Networks
MSAT: Biologically Inspired Multi-Stage Adaptive Threshold for Conversion of Spiking Neural Networks
Xiang He
Yang Li
Dongcheng Zhao
Qingqun Kong
Yi Zeng
85
6
0
23 Mar 2023
MT-SNN: Enhance Spiking Neural Network with Multiple Thresholds
MT-SNN: Enhance Spiking Neural Network with Multiple Thresholds
Xiaoting Wang
Yanxiang Zhang
Yongzhen Zhang
91
6
0
20 Mar 2023
Exploiting High Performance Spiking Neural Networks with Efficient
  Spiking Patterns
Exploiting High Performance Spiking Neural Networks with Efficient Spiking Patterns
Guobin Shen
Dongcheng Zhao
Yi Zeng
91
12
0
29 Jan 2023
Training Full Spike Neural Networks via Auxiliary Accumulation Pathway
Training Full Spike Neural Networks via Auxiliary Accumulation Pathway
Guangyao Chen
Peixi Peng
Guoqi Li
Yonghong Tian
120
27
0
27 Jan 2023
In-Sensor & Neuromorphic Computing are all you need for Energy Efficient
  Computer Vision
In-Sensor & Neuromorphic Computing are all you need for Energy Efficient Computer Vision
Gourav Datta
Zeyu Liu
Md. Abdullah-Al Kaiser
Souvik Kundu
Joe Mathai
Zihan Yin
Ajey P. Jacob
Akhilesh R. Jaiswal
Peter A. Beerel
86
12
0
21 Dec 2022
Hoyer regularizer is all you need for ultra low-latency spiking neural
  networks
Hoyer regularizer is all you need for ultra low-latency spiking neural networks
Gourav Datta
Zeyu Liu
Peter A. Beerel
82
9
0
20 Dec 2022
GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural
  Networks
GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks
Xing-Hua Yao
Fanrong Li
Zitao Mo
Jianguo Cheng
95
91
0
25 Oct 2022
12
Next