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Is Attention Better Than Matrix Decomposition?

Is Attention Better Than Matrix Decomposition?

9 September 2021
Zhengyang Geng
Meng-Hao Guo
Hongxu Chen
Xia Li
Ke Wei
Zhouchen Lin
ArXivPDFHTML

Papers citing "Is Attention Better Than Matrix Decomposition?"

36 / 36 papers shown
Title
You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling with Gradient Shortcuts
You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling with Gradient Shortcuts
Hongkun Dou
Zeyu Li
Xingyu Jiang
H. Li
Lijun Yang
Wen Yao
Yue Deng
DiffM
38
0
0
12 May 2025
Efficient and Robust Multidimensional Attention in Remote Physiological Sensing through Target Signal Constrained Factorization
Efficient and Robust Multidimensional Attention in Remote Physiological Sensing through Target Signal Constrained Factorization
Jitesh Joshi
Youngjun Cho
26
0
0
11 May 2025
SCSegamba: Lightweight Structure-Aware Vision Mamba for Crack Segmentation in Structures
SCSegamba: Lightweight Structure-Aware Vision Mamba for Crack Segmentation in Structures
Hui Liu
Chen Jia
Fan Shi
Xu Cheng
Shengyong Chen
Mamba
47
0
0
03 Mar 2025
SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic Segmentation
SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic Segmentation
Yunxiang Fu
Meng Lou
Yizhou Yu
115
1
0
16 Dec 2024
Heuristical Comparison of Vision Transformers Against Convolutional Neural Networks for Semantic Segmentation on Remote Sensing Imagery
Heuristical Comparison of Vision Transformers Against Convolutional Neural Networks for Semantic Segmentation on Remote Sensing Imagery
Ashim Dahal
Saydul Akbar Murad
Nick Rahimi
ViT
34
1
0
14 Nov 2024
FactorizePhys: Matrix Factorization for Multidimensional Attention in
  Remote Physiological Sensing
FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing
Jitesh Joshi
Sos S. Agaian
Youngjun Cho
AI4TS
41
1
0
03 Nov 2024
Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling
Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling
Jinghan Li
Zhicheng Sun
Fei Li
102
1
0
02 Oct 2024
Staircase Cascaded Fusion of Lightweight Local Pattern Recognition and Long-Range Dependencies for Structural Crack Segmentation
Staircase Cascaded Fusion of Lightweight Local Pattern Recognition and Long-Range Dependencies for Structural Crack Segmentation
Hui Liu
Chen Jia
Fan Shi
Xu Cheng
Mianzhao Wang
Shengyong Chen
43
1
0
23 Aug 2024
HSVLT: Hierarchical Scale-Aware Vision-Language Transformer for
  Multi-Label Image Classification
HSVLT: Hierarchical Scale-Aware Vision-Language Transformer for Multi-Label Image Classification
Shuyi Ouyang
Hongyi Wang
Ziwei Niu
Zhenjia Bai
Shiao Xie
Yingying Xu
Ruofeng Tong
Yen-Wei Chen
Lanfen Lin
VLM
33
1
0
23 Jul 2024
MeMSVD: Long-Range Temporal Structure Capturing Using Incremental SVD
MeMSVD: Long-Range Temporal Structure Capturing Using Incremental SVD
Ioanna Ntinou
Enrique Sanchez
Georgios Tzimiropoulos
42
0
0
11 Jun 2024
MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis Attention
MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis Attention
Hao Shao
Quansheng Zeng
Qibin Hou
Jufeng Yang
51
13
0
14 Dec 2023
TorchDEQ: A Library for Deep Equilibrium Models
TorchDEQ: A Library for Deep Equilibrium Models
Zhengyang Geng
J. Zico Kolter
VLM
54
12
0
28 Oct 2023
Real-time Automatic M-mode Echocardiography Measurement with Panel
  Attention from Local-to-Global Pixels
Real-time Automatic M-mode Echocardiography Measurement with Panel Attention from Local-to-Global Pixels
Ching-Hsun Tseng
S. Chien
Po-Shen Wang
Shin-Jye Lee
Wei-Huan Hu
Bin Pu
Xiaojun Zeng
24
1
0
15 Aug 2023
MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal
  and Channel Mixing
MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing
Zhe Li
Zhongwen Rao
Lujia Pan
Zenglin Xu
AI4TS
30
60
0
09 Feb 2023
Learning a Fourier Transform for Linear Relative Positional Encodings in
  Transformers
Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers
K. Choromanski
Shanda Li
Valerii Likhosherstov
Kumar Avinava Dubey
Shengjie Luo
Di He
Yiming Yang
Tamás Sarlós
Thomas Weingarten
Adrian Weller
34
8
0
03 Feb 2023
Orthogonal SVD Covariance Conditioning and Latent Disentanglement
Orthogonal SVD Covariance Conditioning and Latent Disentanglement
Yue Song
N. Sebe
Wei Wang
26
6
0
11 Dec 2022
Computational Imaging for Machine Perception: Transferring Semantic
  Segmentation beyond Aberrations
Computational Imaging for Machine Perception: Transferring Semantic Segmentation beyond Aberrations
Qi Jiang
Haowen Shi
Shaohua Gao
Jiaming Zhang
Kailun Yang
Lei Sun
Huajian Ni
Kaiwei Wang
26
5
0
21 Nov 2022
Deep Equilibrium Approaches to Diffusion Models
Deep Equilibrium Approaches to Diffusion Models
Ashwini Pokle
Zhengyang Geng
Zico Kolter
DiffM
30
39
0
23 Oct 2022
Eliminating Gradient Conflict in Reference-based Line-Art Colorization
Eliminating Gradient Conflict in Reference-based Line-Art Colorization
Zekun Li
Zhengyang Geng
Zhao Kang
Wenyu Chen
Yibo Yang
21
35
0
13 Jul 2022
Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality
Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality
Yue Song
N. Sebe
Wei Wang
16
8
0
05 Jul 2022
Deep Equilibrium Optical Flow Estimation
Deep Equilibrium Optical Flow Estimation
Shaojie Bai
Zhengyang Geng
Yash Savani
J. Zico Kolter
27
67
0
18 Apr 2022
Parameter-Efficient Tuning by Manipulating Hidden States of Pretrained
  Language Models For Classification Tasks
Parameter-Efficient Tuning by Manipulating Hidden States of Pretrained Language Models For Classification Tasks
Haoran Yang
Piji Li
Wai Lam
23
2
0
10 Apr 2022
Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and
  Semi-Supervised Semantic Segmentation
Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation
Junwen Pan
Pengfei Zhu
Kaihua Zhang
Bing Cao
Yu Wang
Dingwen Zhang
Junwei Han
Q. Hu
18
60
0
19 Mar 2022
Factorizer: A Scalable Interpretable Approach to Context Modeling for
  Medical Image Segmentation
Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image Segmentation
Pooya Ashtari
Diana Sima
L. De Lathauwer
D. Sappey-Marinier
F. Maes
Sabine Van Huffel
ViT
MedIm
26
35
0
24 Feb 2022
Visual Attention Network
Visual Attention Network
Meng-Hao Guo
Chengrou Lu
Zheng-Ning Liu
Ming-Ming Cheng
Shiyong Hu
ViT
VLM
24
637
0
20 Feb 2022
On Training Implicit Models
On Training Implicit Models
Zhengyang Geng
Xinyu Zhang
Shaojie Bai
Yisen Wang
Zhouchen Lin
59
69
0
09 Nov 2021
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using
  Vector Quantization
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization
Mucong Ding
Kezhi Kong
Jingling Li
Chen Zhu
John P. Dickerson
Furong Huang
Tom Goldstein
GNN
MQ
33
47
0
27 Oct 2021
SOFT: Softmax-free Transformer with Linear Complexity
SOFT: Softmax-free Transformer with Linear Complexity
Jiachen Lu
Jinghan Yao
Junge Zhang
Martin Danelljan
Hang Xu
Weiguo Gao
Chunjing Xu
Thomas B. Schon
Li Zhang
18
161
0
22 Oct 2021
Beyond Self-attention: External Attention using Two Linear Layers for
  Visual Tasks
Beyond Self-attention: External Attention using Two Linear Layers for Visual Tasks
Meng-Hao Guo
Zheng-Ning Liu
Tai-Jiang Mu
Shimin Hu
20
473
0
05 May 2021
JFB: Jacobian-Free Backpropagation for Implicit Networks
JFB: Jacobian-Free Backpropagation for Implicit Networks
Samy Wu Fung
Howard Heaton
Qiuwei Li
Daniel McKenzie
Stanley Osher
W. Yin
FedML
35
84
0
23 Mar 2021
Graph Neural Networks Inspired by Classical Iterative Algorithms
Graph Neural Networks Inspired by Classical Iterative Algorithms
Yongyi Yang
T. Liu
Yangkun Wang
Jinjing Zhou
Quan Gan
Zhewei Wei
Zheng-Wei Zhang
Zengfeng Huang
David Wipf
33
83
0
10 Mar 2021
Video Transformer Network
Video Transformer Network
Daniel Neimark
Omri Bar
Maya Zohar
Dotan Asselmann
ViT
198
422
0
01 Feb 2021
Spatial Pyramid Based Graph Reasoning for Semantic Segmentation
Spatial Pyramid Based Graph Reasoning for Semantic Segmentation
Xia Li
Yibo Yang
Qijie Zhao
Tiancheng Shen
Zhouchen Lin
Hong Liu
SSeg
GNN
109
161
0
23 Mar 2020
Graph-Based Global Reasoning Networks
Graph-Based Global Reasoning Networks
Yunpeng Chen
Marcus Rohrbach
Zhicheng Yan
Shuicheng Yan
Jiashi Feng
Yannis Kalantidis
GNN
NAI
268
457
0
30 Nov 2018
A Decomposable Attention Model for Natural Language Inference
A Decomposable Attention Model for Natural Language Inference
Ankur P. Parikh
Oscar Täckström
Dipanjan Das
Jakob Uszkoreit
201
1,367
0
06 Jun 2016
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,926
0
17 Aug 2015
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