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Attention-free Spikformer: Mixing Spike Sequences with Simple Linear
  Transforms
v1v2 (latest)

Attention-free Spikformer: Mixing Spike Sequences with Simple Linear Transforms

2 August 2023
Qingyu Wang
Duzhen Zhang
Tielin Zhang
Bo Xu
ArXiv (abs)PDFHTML

Papers citing "Attention-free Spikformer: Mixing Spike Sequences with Simple Linear Transforms"

28 / 28 papers shown
Title
Complex Dynamic Neurons Improved Spiking Transformer Network for
  Efficient Automatic Speech Recognition
Complex Dynamic Neurons Improved Spiking Transformer Network for Efficient Automatic Speech Recognition
Minglun Han
Qingyu Wang
Tielin Zhang
Yi Wang
Duzhen Zhang
Bo Xu
61
29
0
02 Feb 2023
Spikeformer: A Novel Architecture for Training High-Performance
  Low-Latency Spiking Neural Network
Spikeformer: A Novel Architecture for Training High-Performance Low-Latency Spiking Neural Network
Yudong Li
Yunlin Lei
Xu Yang
83
27
0
19 Nov 2022
Neuromorphic Data Augmentation for Training Spiking Neural Networks
Neuromorphic Data Augmentation for Training Spiking Neural Networks
Yuhang Li
Youngeun Kim
Hyoungseob Park
Tamar Geller
Priyadarshini Panda
81
78
0
11 Mar 2022
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
203
256
0
24 Feb 2022
cosFormer: Rethinking Softmax in Attention
cosFormer: Rethinking Softmax in Attention
Zhen Qin
Weixuan Sun
Huicai Deng
Dongxu Li
Yunshen Wei
Baohong Lv
Junjie Yan
Lingpeng Kong
Yiran Zhong
76
222
0
17 Feb 2022
Early Convolutions Help Transformers See Better
Early Convolutions Help Transformers See Better
Tete Xiao
Mannat Singh
Eric Mintun
Trevor Darrell
Piotr Dollár
Ross B. Girshick
55
771
0
28 Jun 2021
VOLO: Vision Outlooker for Visual Recognition
VOLO: Vision Outlooker for Visual Recognition
Li-xin Yuan
Qibin Hou
Zihang Jiang
Jiashi Feng
Shuicheng Yan
ViT
116
327
0
24 Jun 2021
Twins: Revisiting the Design of Spatial Attention in Vision Transformers
Twins: Revisiting the Design of Spatial Attention in Vision Transformers
Xiangxiang Chu
Zhi Tian
Yuqing Wang
Bo Zhang
Haibing Ren
Xiaolin K. Wei
Huaxia Xia
Chunhua Shen
ViT
84
1,026
0
28 Apr 2021
Escaping the Big Data Paradigm with Compact Transformers
Escaping the Big Data Paradigm with Compact Transformers
Ali Hassani
Steven Walton
Nikhil Shah
Abulikemu Abuduweili
Jiachen Li
Humphrey Shi
120
463
0
12 Apr 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction
  without Convolutions
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
533
3,734
0
24 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
167
500
0
08 Feb 2021
Pre-Trained Image Processing Transformer
Pre-Trained Image Processing Transformer
Hanting Chen
Yunhe Wang
Tianyu Guo
Chang Xu
Yiping Deng
Zhenhua Liu
Siwei Ma
Chunjing Xu
Chao Xu
Wen Gao
VLMViT
143
1,677
0
01 Dec 2020
LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and
  Efficient Spatiotemporal Information Processing
LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing
Zhenzhi Wu
Hehui Zhang
Yihan Lin
Guoqi Li
Meng Wang
Ye Tang
AI4TS
52
104
0
12 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
69
527
0
29 Oct 2020
Deformable DETR: Deformable Transformers for End-to-End Object Detection
Deformable DETR: Deformable Transformers for End-to-End Object Detection
Xizhou Zhu
Weijie Su
Lewei Lu
Bin Li
Xiaogang Wang
Jifeng Dai
ViT
240
5,098
0
08 Oct 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
81
135
0
09 Aug 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
155
530
0
11 Jul 2020
Long Short-Term Memory Spiking Networks and Their Applications
Long Short-Term Memory Spiking Networks and Their Applications
Ali Lotfi-Rezaabad
S. Vishwanath
74
62
0
09 Jul 2020
Transformers are RNNs: Fast Autoregressive Transformers with Linear
  Attention
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention
Angelos Katharopoulos
Apoorv Vyas
Nikolaos Pappas
Franccois Fleuret
201
1,786
0
29 Jun 2020
End-to-End Object Detection with Transformers
End-to-End Object Detection with Transformers
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT3DVPINN
434
13,108
0
26 May 2020
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
166
303
0
04 May 2020
RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper
  High-Accuracy and Low-Latency Spiking Neural Network
RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network
Bing Han
G. Srinivasan
Kaushik Roy
72
317
0
25 Feb 2020
Temporal Spike Sequence Learning via Backpropagation for Deep Spiking
  Neural Networks
Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks
Wenrui Zhang
Peng Li
71
221
0
24 Feb 2020
Surrogate Gradient Learning in Spiking Neural Networks
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
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
Spatio-Temporal Backpropagation for Training High-performance Spiking
  Neural Networks
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
Training Deep Spiking Neural Networks using Backpropagation
Training Deep Spiking Neural Networks using Backpropagation
Junhaeng Lee
T. Delbruck
Michael Pfeiffer
92
946
0
31 Aug 2016
Spiking Deep Networks with LIF Neurons
Spiking Deep Networks with LIF Neurons
Eric Hunsberger
C. Eliasmith
61
277
0
29 Oct 2015
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