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Enhancing the Locality and Breaking the Memory Bottleneck of Transformer
  on Time Series Forecasting
v1v2v3 (latest)

Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting

29 June 2019
Shiyang Li
Xiaoyong Jin
Yao Xuan
Xiyou Zhou
Wenhu Chen
Yu Wang
Xifeng Yan
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting"

50 / 503 papers shown
Title
Monash Time Series Forecasting Archive
Monash Time Series Forecasting Archive
Rakshitha Godahewa
Christoph Bergmeir
Geoffrey I. Webb
Rob J. Hyndman
Pablo Montero-Manso
AI4TS
79
162
0
14 May 2021
Deep Time Series Forecasting with Shape and Temporal Criteria
Deep Time Series Forecasting with Shape and Temporal Criteria
Vincent Le Guen
Nicolas Thome
AI4TS
75
30
0
09 Apr 2021
Learnable Dynamic Temporal Pooling for Time Series Classification
Learnable Dynamic Temporal Pooling for Time Series Classification
Dongha Lee
Seonghyeon Lee
Hwanjo Yu
AI4TS
90
28
0
02 Apr 2021
DEALIO: Data-Efficient Adversarial Learning for Imitation from
  Observation
DEALIO: Data-Efficient Adversarial Learning for Imitation from Observation
F. Torabi
Garrett A. Warnell
Yufei Xu
89
5
0
31 Mar 2021
Causal Hidden Markov Model for Time Series Disease Forecasting
Causal Hidden Markov Model for Time Series Disease Forecasting
Jing Li
Botong Wu
Xinwei Sun
Yizhou Wang
CMLOOD
62
30
0
30 Mar 2021
Historical Inertia: A Neglected but Powerful Baseline for Long Sequence
  Time-series Forecasting
Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting
Yue Cui
Jiandong Xie
Kai Zheng
AI4TS
53
58
0
30 Mar 2021
A Practical Survey on Faster and Lighter Transformers
A Practical Survey on Faster and Lighter Transformers
Quentin Fournier
G. Caron
Daniel Aloise
137
104
0
26 Mar 2021
Gated Transformer Networks for Multivariate Time Series Classification
Gated Transformer Networks for Multivariate Time Series Classification
Minghao Liu
Shengqi Ren
Siyuan Ma
Jiahui Jiao
Yizhou Chen
Zhiguang Wang
Wei Song
AI4TS
70
137
0
26 Mar 2021
Random Feature Attention
Random Feature Attention
Hao Peng
Nikolaos Pappas
Dani Yogatama
Roy Schwartz
Noah A. Smith
Lingpeng Kong
136
362
0
03 Mar 2021
Improving Neural Networks for Time Series Forecasting using Data
  Augmentation and AutoML
Improving Neural Networks for Time Series Forecasting using Data Augmentation and AutoML
Indrajeet Javeri
Mohammadhossein Toutiaee
I. Arpinar
Tom W. Miller
John A. Miller
AI4TS
71
17
0
02 Mar 2021
Missing Value Imputation on Multidimensional Time Series
Missing Value Imputation on Multidimensional Time Series
Parikshit Bansal
Prathamesh Deshpande
Sunita Sarawagi
AI4TS
154
67
0
02 Mar 2021
SparseBERT: Rethinking the Importance Analysis in Self-attention
SparseBERT: Rethinking the Importance Analysis in Self-attention
Han Shi
Jiahui Gao
Xiaozhe Ren
Hang Xu
Xiaodan Liang
Zhenguo Li
James T. Kwok
97
54
0
25 Feb 2021
Evolving Attention with Residual Convolutions
Evolving Attention with Residual Convolutions
Yujing Wang
Yaming Yang
Jiangang Bai
Mingliang Zhang
Jing Bai
Jiahao Yu
Ce Zhang
Gao Huang
Yunhai Tong
ViT
112
34
0
20 Feb 2021
Domain Adaptation for Time Series Forecasting via Attention Sharing
Domain Adaptation for Time Series Forecasting via Attention Sharing
Xiaoyong Jin
Youngsuk Park
Danielle C. Maddix
Bernie Wang
Xifeng Yan
TTAOODAI4TS
183
78
0
13 Feb 2021
Feature Selection for Multivariate Time Series via Network Pruning
Feature Selection for Multivariate Time Series via Network Pruning
Kang Gu
Soroush Vosoughi
T. Prioleau
AI4TS
50
5
0
11 Feb 2021
NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting
Kai Chen
Guang Chen
Dan Xu
Lijun Zhang
Yuyao Huang
Alois C. Knoll
AI4TS
48
22
0
10 Feb 2021
Synergetic Learning of Heterogeneous Temporal Sequences for
  Multi-Horizon Probabilistic Forecasting
Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting
Longyuan Li
Jihai Zhang
Junchi Yan
Yaohui Jin
Yunhao Zhang
Yanjie Duan
Guangjian Tian
AI4TS
51
17
0
31 Jan 2021
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic
  Time Series Forecasting
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting
Kashif Rasul
Calvin Seward
Ingmar Schuster
Roland Vollgraf
DiffM
173
320
0
28 Jan 2021
Adjusting for Autocorrelated Errors in Neural Networks for Time Series
Adjusting for Autocorrelated Errors in Neural Networks for Time Series
Fan-Keng Sun
C. Lang
Duane S. Boning
OODAI4TS
107
28
0
28 Jan 2021
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate
  Time Series Forecasting
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting
Nam H. Nguyen
Brian Quanz
BDLAI4TS
209
71
0
25 Jan 2021
Multi-Task Time Series Forecasting With Shared Attention
Multi-Task Time Series Forecasting With Shared Attention
Zekai Chen
Jiaze E
Xiao Zhang
Hao Sheng
Xiuzhen Cheng
AI4TS
86
20
0
24 Jan 2021
Discrete Graph Structure Learning for Forecasting Multiple Time Series
Discrete Graph Structure Learning for Forecasting Multiple Time Series
Chao Shang
Jie Chen
J. Bi
CMLBDLAI4TS
178
242
0
18 Jan 2021
Series Saliency: Temporal Interpretation for Multivariate Time Series
  Forecasting
Series Saliency: Temporal Interpretation for Multivariate Time Series Forecasting
Qingyi Pan
Wenbo Hu
Jun Zhu
FAttAI4TS
43
7
0
16 Dec 2020
An Empirical Study of Explainable AI Techniques on Deep Learning Models
  For Time Series Tasks
An Empirical Study of Explainable AI Techniques on Deep Learning Models For Time Series Tasks
U. Schlegel
Daniela Oelke
Daniel A. Keim
Mennatallah El-Assady
AI4TS
26
14
0
08 Dec 2020
Detecting Video Game Player Burnout with the Use of Sensor Data and
  Machine Learning
Detecting Video Game Player Burnout with the Use of Sensor Data and Machine Learning
Anton Smerdov
A. Somov
Evgeny Burnaev
Bo Zhou
P. Lukowicz
23
19
0
29 Nov 2020
Explainable Multivariate Time Series Classification: A Deep Neural
  Network Which Learns To Attend To Important Variables As Well As Informative
  Time Intervals
Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals
Tsung-Yu Hsieh
Suhang Wang
Yiwei Sun
Vasant Honavar
BDLAI4TSFAtt
29
9
0
23 Nov 2020
Bridging Physics-based and Data-driven modeling for Learning Dynamical
  Systems
Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems
Rui Wang
Danielle C. Maddix
Christos Faloutsos
Bernie Wang
Rose Yu
OODAI4CE
53
53
0
20 Nov 2020
Hurricane Forecasting: A Novel Multimodal Machine Learning Framework
Hurricane Forecasting: A Novel Multimodal Machine Learning Framework
L. Boussioux
C. Zeng
Théo Guénais
Dimitris Bertsimas
64
40
0
11 Nov 2020
Peak Detection On Data Independent Acquisition Mass Spectrometry Data
  With Semisupervised Convolutional Transformers
Peak Detection On Data Independent Acquisition Mass Spectrometry Data With Semisupervised Convolutional Transformers
Leon L. Xu
H. Röst
19
1
0
26 Oct 2020
Inter-Series Attention Model for COVID-19 Forecasting
Inter-Series Attention Model for COVID-19 Forecasting
Xiaoyong Jin
Yu Wang
Xifeng Yan
AI4TS
63
38
0
25 Oct 2020
Probabilistic Time Series Forecasting with Structured Shape and Temporal
  Diversity
Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity
Vincent Le Guen
Nicolas Thome
AI4TS
87
27
0
14 Oct 2020
A Transformer-based Framework for Multivariate Time Series
  Representation Learning
A Transformer-based Framework for Multivariate Time Series Representation Learning
George Zerveas
Srideepika Jayaraman
Dhaval Patel
A. Bhamidipaty
Carsten Eickhoff
AI4TS
109
949
0
06 Oct 2020
Rank Position Forecasting in Car Racing
Rank Position Forecasting in Car Racing
Bo Peng
Jiayu Li
Selahattin Akkas
Fugang Wang
Takuya Araki
Ohno Yoshiyuki
J. Qiu
BDL
64
6
0
04 Oct 2020
MQTransformer: Multi-Horizon Forecasts with Context Dependent and
  Feedback-Aware Attention
MQTransformer: Multi-Horizon Forecasts with Context Dependent and Feedback-Aware Attention
Carson Eisenach
Yagna Patel
Dhruv Madeka
AI4TS
107
37
0
30 Sep 2020
N-BEATS neural network for mid-term electricity load forecasting
N-BEATS neural network for mid-term electricity load forecasting
Boris N. Oreshkin
Grzegorz Dudek
Paweł Pełka
Ekaterina Turkina
AI4TS
50
84
0
24 Sep 2020
Neural Rough Differential Equations for Long Time Series
Neural Rough Differential Equations for Long Time Series
James Morrill
C. Salvi
Patrick Kidger
James Foster
Terry Lyons
AI4TS
90
133
0
17 Sep 2020
Deep Switching Auto-Regressive Factorization:Application to Time Series
  Forecasting
Deep Switching Auto-Regressive Factorization:Application to Time Series Forecasting
Amirreza Farnoosh
Bahar Azari
Sarah Ostadabbas
BDLAI4TS
73
22
0
10 Sep 2020
FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal
  Traffic Forecasting
FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting
Boris N. Oreshkin
A. Amini
Lucy Coyle
Mark Coates
AI4TS
110
101
0
30 Jul 2020
Dynamic Relational Inference in Multi-Agent Trajectories
Dynamic Relational Inference in Multi-Agent Trajectories
Ruichao Xiao
Manish Kumar Singh
Rose Yu
125
2
0
16 Jul 2020
The Monte Carlo Transformer: a stochastic self-attention model for
  sequence prediction
The Monte Carlo Transformer: a stochastic self-attention model for sequence prediction
Alice Martin
Charles Ollion
Florian Strub
Sylvain Le Corff
Olivier Pietquin
55
6
0
15 Jul 2020
Deep Contextual Clinical Prediction with Reverse Distillation
Deep Contextual Clinical Prediction with Reverse Distillation
Rohan Kodialam
Rebecca Boiarsky
Justin Lim
Neil Dixit
Aditya Sai
David Sontag
60
25
0
10 Jul 2020
Low-Rank Autoregressive Tensor Completion for Multivariate Time Series
  Forecasting
Low-Rank Autoregressive Tensor Completion for Multivariate Time Series Forecasting
Xinyu Chen
Lijun Sun
AI4TS
63
21
0
18 Jun 2020
The Effectiveness of Discretization in Forecasting: An Empirical Study
  on Neural Time Series Models
The Effectiveness of Discretization in Forecasting: An Empirical Study on Neural Time Series Models
Stephan Rabanser
Tim Januschowski
Valentin Flunkert
David Salinas
Jan Gasthaus
BDLAI4TS
80
20
0
20 May 2020
Time Series Forecasting With Deep Learning: A Survey
Time Series Forecasting With Deep Learning: A Survey
Bryan Lim
S. Zohren
AI4TSAI4CE
128
1,254
0
28 Apr 2020
Correlation-aware Unsupervised Change-point Detection via Graph Neural
  Networks
Correlation-aware Unsupervised Change-point Detection via Graph Neural Networks
Ruohong Zhang
Yu Hao
Donghan Yu
Wei-Cheng Chang
Guokun Lai
Yiming Yang
45
1
0
24 Apr 2020
Deep Learning for Time Series Forecasting: Tutorial and Literature
  Survey
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey
Konstantinos Benidis
Syama Sundar Rangapuram
Valentin Flunkert
Bernie Wang
Danielle C. Maddix
...
David Salinas
Lorenzo Stella
François-Xavier Aubet
Laurent Callot
Tim Januschowski
AI4TS
99
201
0
21 Apr 2020
TraDE: Transformers for Density Estimation
TraDE: Transformers for Density Estimation
Rasool Fakoor
Pratik Chaudhari
Jonas W. Mueller
Alex Smola
86
30
0
06 Apr 2020
Multivariate Probabilistic Time Series Forecasting via Conditioned
  Normalizing Flows
Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows
Kashif Rasul
Abdul-Saboor Sheikh
Ingmar Schuster
Urs M. Bergmann
Roland Vollgraf
BDLAI4TSAI4CE
137
187
0
14 Feb 2020
ForecastNet: A Time-Variant Deep Feed-Forward Neural Network
  Architecture for Multi-Step-Ahead Time-Series Forecasting
ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting
J. Dabrowski
Yifan Zhang
Ashfaqur Rahman
AI4TS
33
36
0
11 Feb 2020
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series
  Forecasting
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting
Bryan Lim
Sercan O. Arik
Nicolas Loeff
Tomas Pfister
AI4TS
147
1,499
0
19 Dec 2019
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