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Going Deeper in Spiking Neural Networks: VGG and Residual Architectures

Going Deeper in Spiking Neural Networks: VGG and Residual Architectures

7 February 2018
Abhronil Sengupta
Yuting Ye
Robert Y. Wang
Chiao Liu
Kaushik Roy
ArXivPDFHTML

Papers citing "Going Deeper in Spiking Neural Networks: VGG and Residual Architectures"

50 / 291 papers shown
Title
Training Feedback Spiking Neural Networks by Implicit Differentiation on
  the Equilibrium State
Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State
Mingqing Xiao
Qingyan Meng
Zongpeng Zhang
Yisen Wang
Zhouchen Lin
111
60
0
29 Sep 2021
Spiking neural networks trained via proxy
Spiking neural networks trained via proxy
Saeed Reza Kheradpisheh
M. Mirsadeghi
T. Masquelier
27
16
0
27 Sep 2021
Deep Spiking Neural Networks with Resonate-and-Fire Neurons
Deep Spiking Neural Networks with Resonate-and-Fire Neurons
Badr AlKhamissi
Muhammad N. ElNokrashy
D. Bernal-Casas
34
5
0
16 Sep 2021
Spiking Neural Networks with Improved Inherent Recurrence Dynamics for
  Sequential Learning
Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning
Wachirawit Ponghiran
Kaushik Roy
32
49
0
04 Sep 2021
Spike time displacement based error backpropagation in convolutional
  spiking neural networks
Spike time displacement based error backpropagation in convolutional spiking neural networks
M. Mirsadeghi
Majid Shalchian
Saeed Reza Kheradpisheh
T. Masquelier
14
15
0
31 Aug 2021
HYPER-SNN: Towards Energy-efficient Quantized Deep Spiking Neural
  Networks for Hyperspectral Image Classification
HYPER-SNN: Towards Energy-efficient Quantized Deep Spiking Neural Networks for Hyperspectral Image Classification
Gourav Datta
Souvik Kundu
Akhilesh R. Jaiswal
P. Beerel
33
8
0
26 Jul 2021
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike
  Hybrid Input Encoding
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding
Gourav Datta
Souvik Kundu
P. Beerel
48
27
0
26 Jul 2021
H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking
  Neural Networks
H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks
Ling Liang
Zheng Qu
Zhaodong Chen
Fengbin Tu
Yujie Wu
Lei Deng
Guoqi Li
Peng Li
Yuan Xie
17
27
0
25 Jul 2021
Towards Low-Latency Energy-Efficient Deep SNNs via Attention-Guided
  Compression
Towards Low-Latency Energy-Efficient Deep SNNs via Attention-Guided Compression
Souvik Kundu
Gourav Datta
Massoud Pedram
P. Beerel
23
14
0
16 Jul 2021
The Backpropagation Algorithm Implemented on Spiking Neuromorphic
  Hardware
The Backpropagation Algorithm Implemented on Spiking Neuromorphic Hardware
Alpha Renner
F. Sheldon
Anatoly Zlotnik
L. Tao
A. Sornborger
21
38
0
13 Jun 2021
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural
  Networks Calibration
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration
Yuhang Li
Shi-Wee Deng
Xin Dong
Ruihao Gong
Shi Gu
30
185
0
13 Jun 2021
Federated Learning with Spiking Neural Networks
Federated Learning with Spiking Neural Networks
Yeshwanth Venkatesha
Youngeun Kim
Leandros Tassiulas
Priyadarshini Panda
FedML
33
47
0
11 Jun 2021
Training Energy-Efficient Deep Spiking Neural Networks with
  Time-to-First-Spike Coding
Training Energy-Efficient Deep Spiking Neural Networks with Time-to-First-Spike Coding
Seongsik Park
Sungroh Yoon
14
9
0
04 Jun 2021
A Microarchitecture Implementation Framework for Online Learning with
  Temporal Neural Networks
A Microarchitecture Implementation Framework for Online Learning with Temporal Neural Networks
Harideep Nair
J. Shen
James E. Smith
33
8
0
27 May 2021
BackEISNN: A Deep Spiking Neural Network with Adaptive Self-Feedback and
  Balanced Excitatory-Inhibitory Neurons
BackEISNN: A Deep Spiking Neural Network with Adaptive Self-Feedback and Balanced Excitatory-Inhibitory Neurons
Dongcheng Zhao
Yi Zeng
Yang Li
35
40
0
27 May 2021
BSNN: Towards Faster and Better Conversion of Artificial Neural Networks
  to Spiking Neural Networks with Bistable Neurons
BSNN: Towards Faster and Better Conversion of Artificial Neural Networks to Spiking Neural Networks with Bistable Neurons
Yang Li
Yi Zeng
Dongcheng Zhao
39
26
0
27 May 2021
Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep
  Spiking Neural Networks
Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks
Jianhao Ding
Zhaofei Yu
Yonghong Tian
Tiejun Huang
33
153
0
25 May 2021
Efficient Spiking Neural Networks with Radix Encoding
Efficient Spiking Neural Networks with Radix Encoding
Zhehui Wang
Xiaozhe Gu
Rick Siow Mong Goh
Qiufeng Wang
Yaoyu Zhang
18
23
0
14 May 2021
Deep Spiking Convolutional Neural Network for Single Object Localization
  Based On Deep Continuous Local Learning
Deep Spiking Convolutional Neural Network for Single Object Localization Based On Deep Continuous Local Learning
Sami Barchid
José Mennesson
Chaabane Djéraba
31
9
0
12 May 2021
Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural
  Networks
Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural Networks
Sayeed Shafayet Chowdhury
Isha Garg
Kaushik Roy
26
38
0
26 Apr 2021
A Fully Spiking Hybrid Neural Network for Energy-Efficient Object
  Detection
A Fully Spiking Hybrid Neural Network for Energy-Efficient Object Detection
Biswadeep Chakraborty
Xueyuan She
Saibal Mukhopadhyay
37
50
0
21 Apr 2021
Lesion-Inspired Denoising Network: Connecting Medical Image Denoising
  and Lesion Detection
Lesion-Inspired Denoising Network: Connecting Medical Image Denoising and Lesion Detection
Kecheng Chen
Kun Long
Yazhou Ren
Jiayu Sun
X. Pu
MedIm
19
20
0
18 Apr 2021
PrivateSNN: Privacy-Preserving Spiking Neural Networks
PrivateSNN: Privacy-Preserving Spiking Neural Networks
Youngeun Kim
Yeshwanth Venkatesha
Priyadarshini Panda
31
22
0
07 Apr 2021
Visual Explanations from Spiking Neural Networks using Interspike
  Intervals
Visual Explanations from Spiking Neural Networks using Interspike Intervals
Youngeun Kim
Priyadarshini Panda
AAML
FAtt
27
46
0
26 Mar 2021
On the Role of System Software in Energy Management of Neuromorphic
  Computing
On the Role of System Software in Energy Management of Neuromorphic Computing
Twisha Titirsha
Shihao Song
Adarsha Balaji
Anup Das
32
24
0
22 Mar 2021
Accurate and efficient time-domain classification with adaptive spiking
  recurrent neural networks
Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks
Bojian Yin
Federico Corradi
S. Bohté
50
210
0
12 Mar 2021
A Little Energy Goes a Long Way: Build an Energy-Efficient, Accurate
  Spiking Neural Network from Convolutional Neural Network
A Little Energy Goes a Long Way: Build an Energy-Efficient, Accurate Spiking Neural Network from Convolutional Neural Network
Dengyu Wu
Xinping Yi
Xiaowei Huang
24
16
0
01 Mar 2021
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
124
200
0
28 Feb 2021
Naturalizing Neuromorphic Vision Event Streams Using GANs
Naturalizing Neuromorphic Vision Event Streams Using GANs
Dennis E. Robey
W. Thio
H. Iu
Jason K. Eshraghian
AI4TS
11
2
0
14 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
123
481
0
08 Feb 2021
Towards Interpretable Ensemble Learning for Image-based Malware
  Detection
Towards Interpretable Ensemble Learning for Image-based Malware Detection
Yuzhou Lin
Xiaolin Chang
AAML
15
8
0
13 Jan 2021
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Sourav Garg
Niko Sünderhauf
Feras Dayoub
D. Morrison
Akansel Cosgun
...
Tat-Jun Chin
Ian Reid
Stephen Gould
Peter Corke
Michael Milford
28
115
0
02 Jan 2021
A Temporal Neural Network Architecture for Online Learning
A Temporal Neural Network Architecture for Online Learning
J. E. Smith
8
12
0
27 Nov 2020
Going Deeper With Directly-Trained Larger Spiking Neural Networks
Going Deeper With Directly-Trained Larger Spiking Neural Networks
Hanle Zheng
Yujie Wu
Lei Deng
Yifan Hu
Guoqi Li
19
503
0
29 Oct 2020
Spiking Neural Networks -- Part I: Detecting Spatial Patterns
Spiking Neural Networks -- Part I: Detecting Spatial Patterns
Hyeryung Jang
N. Skatchkovsky
Osvaldo Simeone
8
10
0
27 Oct 2020
DCT-SNN: Using DCT to Distribute Spatial Information over Time for
  Learning Low-Latency Spiking Neural Networks
DCT-SNN: Using DCT to Distribute Spatial Information over Time for Learning Low-Latency Spiking Neural Networks
Isha Garg
Sayeed Shafayet Chowdhury
Kaushik Roy
18
13
0
05 Oct 2020
Revisiting Batch Normalization for Training Low-latency Deep Spiking
  Neural Networks from Scratch
Revisiting Batch Normalization for Training Low-latency Deep Spiking Neural Networks from Scratch
Youngeun Kim
Priyadarshini Panda
30
171
0
05 Oct 2020
Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven
  Spiking Neural Networks
Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks
Weihao Tan
Devdhar Patel
R. Kozma
25
43
0
30 Sep 2020
A thermodynamically consistent chemical spiking neuron capable of
  autonomous Hebbian learning
A thermodynamically consistent chemical spiking neuron capable of autonomous Hebbian learning
Jakub Fil
Dominique F. Chu
12
1
0
28 Sep 2020
On the Self-Repair Role of Astrocytes in STDP Enabled Unsupervised SNNs
On the Self-Repair Role of Astrocytes in STDP Enabled Unsupervised SNNs
Mehul Rastogi
Sen Lu
Nafiul Islam
Abhronil Sengupta
9
21
0
08 Sep 2020
TCL: an ANN-to-SNN Conversion with Trainable Clipping Layers
TCL: an ANN-to-SNN Conversion with Trainable Clipping Layers
Nguyen-Dong Ho
I. Chang
12
48
0
11 Aug 2020
DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization
  in Deep Spiking Neural Networks
DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks
Nitin Rathi
Kaushik Roy
23
134
0
09 Aug 2020
Neuromorphic Computing for Content-based Image Retrieval
Neuromorphic Computing for Content-based Image Retrieval
Te-Yuan Liu
A. Mahjoubfar
Daniel Prusinski
Luis Stevens
VLM
24
11
0
04 Aug 2020
Coarse scale representation of spiking neural networks: backpropagation
  through spikes and application to neuromorphic hardware
Coarse scale representation of spiking neural networks: backpropagation through spikes and application to neuromorphic hardware
A. Yanguas-Gil
13
6
0
13 Jul 2020
Incorporating Learnable Membrane Time Constant to Enhance Learning of
  Spiking Neural Networks
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks
Wei Fang
Zhaofei Yu
Yanqing Chen
T. Masquelier
Tiejun Huang
Yonghong Tian
72
508
0
11 Jul 2020
Neuromorphic Processing and Sensing: Evolutionary Progression of AI to
  Spiking
Neuromorphic Processing and Sensing: Evolutionary Progression of AI to Spiking
Philippe Reiter
G. R. Jose
Spyridon Bizmpikis
Ionela-Ancuta Cîrjila
24
1
0
10 Jul 2020
Progressive Tandem Learning for Pattern Recognition with Deep Spiking
  Neural Networks
Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks
Jibin Wu
Chenglin Xu
Daquan Zhou
Haizhou Li
Kay Chen Tan
22
110
0
02 Jul 2020
Training Deep Spiking Neural Networks
Training Deep Spiking Neural Networks
Eimantas Ledinauskas
J. Ruseckas
Alfonsas Jursenas
Giedrius Burachas
27
55
0
08 Jun 2020
Brain-inspired global-local learning incorporated with neuromorphic
  computing
Brain-inspired global-local learning incorporated with neuromorphic computing
Yujie Wu
R. Zhao
Jun Zhu
F. Chen
Mingkun Xu
...
Hao Zheng
Jing Pei
Youhui Zhang
Mingguo Zhao
Luping Shi
34
86
0
05 Jun 2020
Constructing Accurate and Efficient Deep Spiking Neural Networks with
  Double-threshold and Augmented Schemes
Constructing Accurate and Efficient Deep Spiking Neural Networks with Double-threshold and Augmented Schemes
Qiang Yu
Chenxiang Ma
Shiming Song
Gaoyan Zhang
J. Dang
Kay Chen Tan
28
49
0
05 May 2020
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