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

29 June 2019

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

50 / 503 papers shown

Title
Meta-Transformer: A Unified Framework for Multimodal Learning Yiyuan Zhang Kaixiong Gong Kaipeng Zhang Hongsheng Li Yu Qiao Wanli Ouyang Xiangyu Yue 105 150 0 20 Jul 2023
Forecasting Early with Meta Learning Shayan Jawed Kiran Madhusudhanan Vijaya Krishna Yalavarthi Lars Schmidt-Thieme AI4TS 123 0 0 19 Jul 2023
U-shaped Transformer: Retain High Frequency Context in Time Series Analysis Qing-Hong Chen Y. Zhang AI4TS 74 1 0 18 Jul 2023
GBT: Two-stage transformer framework for non-stationary time series forecasting Li Shen Yuning Wei Yangzhu Wang AI4TS 90 24 0 17 Jul 2023
MPR-Net:Multi-Scale Pattern Reproduction Guided Universality Time Series Interpretable Forecasting Tianlong Zhao Xiang Ma Xue-mei Li Caiming Zhang AI4TS 33 2 0 13 Jul 2023
Transformers in Reinforcement Learning: A Survey Pranav Agarwal A. Rahman P. St-Charles Simon J. D. Prince Samira Ebrahimi Kahou OffRL 106 21 0 12 Jul 2023
GEANN: Scalable Graph Augmentations for Multi-Horizon Time Series Forecasting Sitan Yang Malcolm Wolff S. Ramasubramanian Vincent Quenneville-Belair Ronak Metha Michael W. Mahoney AI4TS AI4CE 62 1 0 07 Jul 2023
LongNet: Scaling Transformers to 1,000,000,000 Tokens Jiayu Ding Shuming Ma Li Dong Xingxing Zhang Shaohan Huang Wenhui Wang Nanning Zheng Furu Wei CLL 114 165 0 05 Jul 2023
SageFormer: Series-Aware Framework for Long-term Multivariate Time Series Forecasting Zhenwei Zhang Linghang Meng Yuantao Gu AI4TS 62 18 0 04 Jul 2023
Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting Zhenwei Zhang Xin Wang Jingyuan Xie Heling Zhang Yuantao Gu AI4TS 66 7 0 04 Jul 2023
STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction Xunlian Luo Chunjiang Zhu Detian Zhang Qing Li GNN AI4TS 109 7 0 02 Jul 2023
Transformers in Healthcare: A Survey Subhash Nerella S. Bandyopadhyay Jiaqing Zhang Miguel Contreras Scott Siegel ... Jessica Sena B. Shickel A. Bihorac Kia Khezeli Parisa Rashidi MedIm AI4CE 96 36 0 30 Jun 2023
Improving the Transferability of Time Series Forecasting with Decomposition Adaptation Yan-hong Gao Yan Wang Qiang Wang AI4TS 51 0 0 30 Jun 2023
Sparsity exploitation via discovering graphical models in multi-variate time-series forecasting Ngoc-Dung Do Truong-Son Hy D. Nguyen AI4TS 42 0 0 29 Jun 2023
Comparing Deep Learning Models for the Task of Volatility Prediction Using Multivariate Data Wenbo Ge Pooia Lalbakhsh Leigh Isai Artem Lenskiy Hanna Suominen OOD 27 3 0 20 Jun 2023
FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting Li Shen Yuning Wei Yangzhu Wang Huaxin Qiu OOD AI4TS 48 8 0 19 Jun 2023
DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection Yiyuan Yang Chaoli Zhang Tian Zhou Qingsong Wen Liang Sun AI4TS 185 133 0 17 Jun 2023
GCformer: An Efficient Framework for Accurate and Scalable Long-Term Multivariate Time Series Forecasting Yanjun Zhao Ziqing Ma Tian Zhou Liang Sun M. Ye Yi Qian AI4TS 128 23 0 14 Jun 2023
Robustness and Generalization Performance of Deep Learning Models on Cyber-Physical Systems: A Comparative Study Alexander Windmann Henrik S. Steude Oliver Niggemann OOD AI4TS AAML 59 3 0 13 Jun 2023
Localised Adaptive Spatial-Temporal Graph Neural Network Wenying Duan Xiaoxi He Zimu Zhou Lothar Thiele Hong Rao 66 18 0 12 Jun 2023
MPPN: Multi-Resolution Periodic Pattern Network For Long-Term Time Series Forecasting Xing Wang Zhendong Wang Kexin Yang Junlan Feng Zhi-yan Song Chao Deng Lin Zhu AI4TS 39 3 0 12 Jun 2023
QBSD: Quartile-Based Seasonality Decomposition for Cost-Effective Time Series Forecasting Ebenezer R. H. P. Isaac Bulbul Singh AI4TS 42 0 0 09 Jun 2023
Non-autoregressive Conditional Diffusion Models for Time Series Prediction Lifeng Shen James Kwok DiffM AI4CE 94 57 0 08 Jun 2023
Does Long-Term Series Forecasting Need Complex Attention and Extra Long Inputs? Daojun Liang Haixia Zhang Dongfeng Yuan Xiaoyan Ma Dongyang Li Minggao Zhang AI4TS 30 6 0 08 Jun 2023
Cross-LKTCN: Modern Convolution Utilizing Cross-Variable Dependency for Multivariate Time Series Forecasting Dependency for Multivariate Time Series Forecasting Donghao Luo Xue Wang BDL AI4TS 82 2 0 04 Jun 2023
RITA: Group Attention is All You Need for Timeseries Analytics Jiaming Liang Lei Cao Samuel Madden Z. Ives Guoliang Li AI4TS 49 1 0 02 Jun 2023
An End-to-End Time Series Model for Simultaneous Imputation and Forecast Trang H. Tran Lam M. Nguyen K. Yeo Nam H. Nguyen Dzung Phan Roman Vaculin Jayant Kalagnanam SyDa BDL AI4TS 73 4 0 01 Jun 2023
Learning Gaussian Mixture Representations for Tensor Time Series Forecasting Jiewen Deng Jinliang Deng Renhe Jiang Xuan Song AI4TS 99 5 0 01 Jun 2023
Taylorformer: Probabilistic Predictions for Time Series and other Processes Omer Nivron R. Parthipan Damon J. Wischik BDL AI4TS 79 2 0 30 May 2023
Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting Jiaxin Gao Wenbo Hu Yuntian Chen AI4TS 81 13 0 30 May 2023
Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers Zahra Atashgahi Mykola Pechenizkiy Raymond N. J. Veldhuis Decebal Constantin Mocanu AI4TS AI4CE 55 1 0 28 May 2023
Stecformer: Spatio-temporal Encoding Cascaded Transformer for Multivariate Long-term Time Series Forecasting Zheng Sun Yi Wei Wenxiao Jia Long Yu AI4TS 56 0 0 25 May 2023
TLNets: Transformation Learning Networks for long-range time-series prediction Wen Wang Yang Liu Haoqin Sun AI4TS 72 3 0 25 May 2023
A Joint Time-frequency Domain Transformer for Multivariate Time Series Forecasting Yushu Chen Shengzhuo Liu Jinzhe Yang Hao Jing Wenlai Zhao Guang-Wu Yang AI4TS 50 22 0 24 May 2023
Deep Learning based Forecasting: a case study from the online fashion industry Manuel Kunz Stefan Birr Mones Raslan Lei Ma Zhuguo Li ... Armin Kekić Michael Narodovitch Kashif Rasul Julian Sieber Tim Januschowski 117 16 0 23 May 2023
Sequential Transfer Learning to Decode Heard and Imagined Timbre from fMRI Data S. Paulsen M. Casey MedIm 51 1 0 22 May 2023
Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting Jinliang Deng Xiusi Chen Renhe Jiang Du Yin Yezhou Yang Xuan Song Ivor W. Tsang BDL AI4TS 99 22 0 22 May 2023
Forecasting Irregularly Sampled Time Series using Graphs Vijaya Krishna Yalavarthi Kiran Madusudanan Randolf Scholz Nourhan Ahmed Johannes Burchert Shayan Jawed Stefan Born Lars Schmidt-Thieme AI4TS 42 2 0 22 May 2023
Stock and market index prediction using Informer network Yu-Hsin Lu Hailong Zhang Qiwen Guo AIFin AI4TS 125 5 0 22 May 2023
Temporal Fusion Transformers for Streamflow Prediction: Value of Combining Attention with Recurrence Sinan Rasiya Koya Tirthankar Roy AI4TS 28 28 0 21 May 2023
CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting Xue Wang Tian Zhou Qingsong Wen Jinyang Gao Bolin Ding Rong Jin AI4TS 83 44 0 20 May 2023
A Survey on Time-Series Pre-Trained Models Qianli Ma Ziqiang Liu Zhenjing Zheng Ziyang Huang Siying Zhu Zhongzhong Yu James T. Kwok AI4TS 103 55 0 18 May 2023
Self-Supervised Pretraining on Paired Sequences of fMRI Data for Transfer Learning to Brain Decoding Tasks S. Paulsen M. Casey MedIm AI4CE ViT 53 1 0 15 May 2023
HiPerformer: Hierarchically Permutation-Equivariant Transformer for Time Series Forecasting Ryo Umagami Yusuke Ono Yusuke Mukuta Tatsuya Harada AI4TS 80 3 0 14 May 2023
Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting Jimeng Shi Rukmangadh Myana Vitalii Stebliankin Azam Shirali Giri Narasimhan AI4TS 41 7 0 08 May 2023
Mlinear: Rethink the Linear Model for Time-series Forecasting Wei Li Xiangxu Meng Chuhao Chen Jianing Chen AI4TS 58 6 0 08 May 2023
Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems Andreas Look M. Kandemir Barbara Rakitsch Jan Peters BDL 65 6 0 02 May 2023
Multi-scale Transformer-based Network for Emotion Recognition from Multi Physiological Signals T. Vu V. Huynh Soo-Hyung Kim 62 7 0 01 May 2023
Contour Completion by Transformers and Its Application to Vector Font Data Yusuke Nagata Brian Kenji Iwana S. Uchida 88 1 0 27 Apr 2023
Long-term Forecasting with TiDE: Time-series Dense Encoder Abhimanyu Das Weihao Kong Andrew B. Leach Shaan Mathur Rajat Sen Rose Yu AI4TS 116 280 0 17 Apr 2023