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Spectral Propagation Graph Network for Few-shot Time Series
  Classification
v1v2v3 (latest)

Spectral Propagation Graph Network for Few-shot Time Series Classification

8 February 2022
Ling Yang
linda Qiao
Luxia Zhang
ArXiv (abs)PDFHTML

Papers citing "Spectral Propagation Graph Network for Few-shot Time Series Classification"

33 / 33 papers shown
Title
CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse
  Transformers
CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers
Runsheng Xu
Zhengzhong Tu
Hao Xiang
Wei Shao
Bolei Zhou
Jiaqi Ma
108
223
0
05 Jul 2022
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph
  Representation Learning
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning
Ling Yang
linda Qiao
110
12
0
31 May 2022
V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision
  Transformer
V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer
Runsheng Xu
Hao Xiang
Zhengzhong Tu
Xin Xia
Ming-Hsuan Yang
Jiaqi Ma
ViT
207
377
0
20 Mar 2022
Unsupervised Time-Series Representation Learning with Iterative Bilinear
  Temporal-Spectral Fusion
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion
Ling Yang
linda Qiao
AI4TS
75
123
0
08 Feb 2022
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in
  Intensive Care Units
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units
linda Qiao
Yanbo Xu
Alind Khare
Satria Priambada
K. Maher
Alaa Aljiffry
Jimeng Sun
Alexey Tumanov
OOD
55
88
0
10 Aug 2020
DPGN: Distribution Propagation Graph Network for Few-shot Learning
DPGN: Distribution Propagation Graph Network for Few-shot Learning
Ling Yang
Liang Li
Zilun Zhang
Xinyu Zhou
Erjin Zhou
Yu Liu
73
208
0
31 Mar 2020
Revisiting Fine-tuning for Few-shot Learning
Revisiting Fine-tuning for Few-shot Learning
Akihiro Nakamura
Tatsuya Harada
96
54
0
01 Oct 2019
Meta-Learning for Few-Shot Time Series Classification
Meta-Learning for Few-Shot Time Series Classification
Jyoti Narwariya
Pankaj Malhotra
Lovekesh Vig
Gautam M. Shroff
T. Vishnu
128
60
0
13 Sep 2019
Edge-labeling Graph Neural Network for Few-shot Learning
Edge-labeling Graph Neural Network for Few-shot Learning
Jongmin Kim
Taesup Kim
Sungwoong Kim
Chang D. Yoo
94
457
0
04 May 2019
ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time
  Series Classification
ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification
Kathan Kashiparekh
Jyoti Narwariya
Pankaj Malhotra
Lovekesh Vig
Gautam M. Shroff
AI4TS
68
70
0
29 Apr 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning
Generalizing from a Few Examples: A Survey on Few-Shot Learning
Yaqing Wang
Quanming Yao
James T. Kwok
L. Ni
90
1,816
0
10 Apr 2019
A Closer Look at Few-shot Classification
A Closer Look at Few-shot Classification
Wei-Yu Chen
Yen-Cheng Liu
Z. Kira
Y. Wang
Jia-Bin Huang
116
1,768
0
08 Apr 2019
Transfer learning for time series classification
Transfer learning for time series classification
Hassan Ismail Fawaz
Germain Forestier
J. Weber
L. Idoumghar
Pierre-Alain Muller
AI4TS
65
264
0
05 Nov 2018
The UCR Time Series Archive
The UCR Time Series Archive
Hoang Anh Dau
A. Bagnall
Kaveh Kamgar
Chin-Chia Michael Yeh
Yan Zhu
Shaghayegh Gharghabi
C. Ratanamahatana
Eamonn Keogh
66
832
0
17 Oct 2018
Deep learning for time series classification: a review
Deep learning for time series classification: a review
Hassan Ismail Fawaz
Germain Forestier
J. Weber
L. Idoumghar
Pierre-Alain Muller
AI4TSAI4CE
339
2,702
0
12 Sep 2018
Learning to Propagate Labels: Transductive Propagation Network for
  Few-shot Learning
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning
Yanbin Liu
Juho Lee
Minseop Park
Saehoon Kim
Eunho Yang
Sung Ju Hwang
Yi Yang
108
668
0
25 May 2018
Towards a universal neural network encoder for time series
Towards a universal neural network encoder for time series
Joan Serrà
Santiago Pascual
Alexandros Karatzoglou
AI4TS
71
122
0
10 May 2018
Deep Learning using Rectified Linear Units (ReLU)
Deep Learning using Rectified Linear Units (ReLU)
Abien Fred Agarap
78
3,236
0
22 Mar 2018
Scalable and accurate deep learning for electronic health records
Scalable and accurate deep learning for electronic health records
A. Rajkomar
Eyal Oren
Kai Chen
Andrew M. Dai
Nissan Hajaj
...
A. Butte
M. Howell
Claire Cui
Greg S. Corrado
Jeffrey Dean
OODBDL
177
2,149
0
24 Jan 2018
Learning to Compare: Relation Network for Few-Shot Learning
Learning to Compare: Relation Network for Few-Shot Learning
Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Philip Torr
Timothy M. Hospedales
308
4,049
0
16 Nov 2017
Few-Shot Learning with Graph Neural Networks
Few-Shot Learning with Graph Neural Networks
Victor Garcia Satorras
Joan Bruna
GNN
174
1,240
0
10 Nov 2017
Classification of Time-Series Images Using Deep Convolutional Neural
  Networks
Classification of Time-Series Images Using Deep Convolutional Neural Networks
Nima Hatami
Y. Gavet
J. Debayle
57
328
0
02 Oct 2017
TimeNet: Pre-trained deep recurrent neural network for time series
  classification
TimeNet: Pre-trained deep recurrent neural network for time series classification
Pankaj Malhotra
T. Vishnu
Lovekesh Vig
Puneet Agarwal
Gautam M. Shroff
AI4TS
46
174
0
23 Jun 2017
Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
305
8,150
0
15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
829
11,943
0
09 Mar 2017
Time Series Classification from Scratch with Deep Neural Networks: A
  Strong Baseline
Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline
Zhiguang Wang
Weizhong Yan
Tim Oates
AI4TS
78
1,658
0
20 Nov 2016
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
378
7,333
0
13 Jun 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,426
0
10 Dec 2015
Spatially Encoding Temporal Correlations to Classify Temporal Data Using
  Convolutional Neural Networks
Spatially Encoding Temporal Correlations to Classify Temporal Data Using Convolutional Neural Networks
Zhiguang Wang
Tim Oates
28
40
0
24 Sep 2015
Imaging Time-Series to Improve Classification and Imputation
Imaging Time-Series to Improve Classification and Imputation
Zhiguang Wang
Tim Oates
AI4TS
127
678
0
01 Jun 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
389
13,145
0
12 Mar 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
465
43,341
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,312
0
22 Dec 2014
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