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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
CLeaRForecast: Contrastive Learning of High-Purity Representations for Time Series Forecasting Jiaxin Gao Yuxiao Hu Qinglong Cao Siqi Dai Yuntian Chen AI4TS 34 0 0 10 Dec 2023
Adaptive Dependency Learning Graph Neural Networks Abishek Sriramulu Nicolas Fourrier Christoph Bergmeir AI4TS AI4CE 67 21 0 06 Dec 2023
MultiResFormer: Transformer with Adaptive Multi-Resolution Modeling for General Time Series Forecasting Linfeng Du Ji Xin Alex Labach S. Zuberi M. Volkovs Rahul G. Krishnan AI4TS 31 0 0 30 Nov 2023
TransNAS-TSAD: Harnessing Transformers for Multi-Objective Neural Architecture Search in Time Series Anomaly Detection Ijazul Haq Byung Suk Lee Donna M. Rizzo AI4TS 52 7 0 29 Nov 2023
Hierarchical Joint Graph Learning and Multivariate Time Series Forecasting Juhyeon Kim Hyungeun Lee Seungwon Yu Ung Hwang Wooyeol Jung Miseon Park Kijung Yoon AI4TS 39 2 0 21 Nov 2023
Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey Yunpeng Huang Jingwei Xu Junyu Lai Zixu Jiang Taolue Chen ... Xiaoxing Ma Lijuan Yang Zhou Xin Shupeng Li Penghao Zhao LLMAG KELM 100 66 0 21 Nov 2023
A Supervised Contrastive Learning Pretrain-Finetune Approach for Time Series Trang H. Tran Lam M. Nguyen Kyongmin Yeo Nam H. Nguyen Roman Vaculin AI4TS 57 0 0 21 Nov 2023
Correlated Attention in Transformers for Multivariate Time Series Quang Minh Nguyen Lam M. Nguyen Subhro Das AI4TS 37 1 0 20 Nov 2023
Self-Distilled Representation Learning for Time Series Felix Pieper Konstantin Ditschuneit Martin Genzel Alexandra Lindt Johannes Otterbach AI4TS 62 1 0 19 Nov 2023
TimeSQL: Improving Multivariate Time Series Forecasting with Multi-Scale Patching and Smooth Quadratic Loss Site Mo Haoxin Wang Bixiong Li Songhai Fan Yuankai Wu Xianggen Liu AI4TS 48 13 0 19 Nov 2023
Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations S. Lim Jaehyeon Park Seojin Kim Hyowon Wi Haksoo Lim Jinsung Jeon Jeongwhan Choi Noseong Park AI4TS AI4CE 78 2 0 08 Nov 2023
Multi-resolution Time-Series Transformer for Long-term Forecasting Yitian Zhang Liheng Ma Soumyasundar Pal Yingxue Zhang Mark Coates AI4TS 86 35 0 07 Nov 2023
Ego-Network Transformer for Subsequence Classification in Time Series Data Chin-Chia Michael Yeh Huiyuan Chen Yujie Fan Xin Dai Yan Zheng ... Junpeng Wang Zhongfang Zhuang Liang Wang Wei Zhang Eamonn J. Keogh 85 5 0 05 Nov 2023
Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights Chin-Chia Michael Yeh Huiyuan Chen Xin Dai Yan Zheng Yujie Fan ... Junpeng Wang Audrey Der Zhongfang Zhuang Liang Wang Wei Zhang 49 1 0 05 Nov 2023
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis Zelin Ni Hang Yu Shizhan Liu Jianguo Li Weiyao Lin AI4TS 82 37 0 31 Oct 2023
A Systematic Review for Transformer-based Long-term Series Forecasting Liyilei Su Xumin Zuo Rui Li Xin Wang Heng Zhao Bingding Huang AI4TS 78 12 0 31 Oct 2023
GraphTransformers for Geospatial Forecasting of Hurricane Trajectories P. Banerjee Satyaki Chakraborty AI4TS 23 0 0 31 Oct 2023
AMLNet: Adversarial Mutual Learning Neural Network for Non-AutoRegressive Multi-Horizon Time Series Forecasting Yang Lin AI4TS 66 0 0 30 Oct 2023
Detecting Intentional AIS Shutdown in Open Sea Maritime Surveillance Using Self-Supervised Deep Learning Pierre Bernabé Arnaud Gotlieb B. Legeard D. Marijan F. Sem-Jacobsen Helge Spieker 38 16 0 24 Oct 2023
Graph Deep Learning for Time Series Forecasting Andrea Cini Ivan Marisca Daniele Zambon Cesare Alippi AI4TS AI4CE 126 16 0 24 Oct 2023
SigFormer: Signature Transformers for Deep Hedging Anh Tong Thanh Nguyen-Tang Dongeun Lee Toan M. Tran Jaesik Choi AIFin 153 5 0 20 Oct 2023
Hierarchical Forecasting at Scale O. Sprangers Wander S. Wadman Sebastian Schelter Maarten de Rijke AI4TS 21 2 0 19 Oct 2023
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting Xu Liu Junfeng Hu Yuan N. Li Shizhe Diao Yuxuan Liang Bryan Hooi Roger Zimmermann AI4TS 117 89 0 15 Oct 2023
ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning Jiecheng Lu Xu Han Shihao Yang AI4TS 44 3 0 14 Oct 2023
Transport-Hub-Aware Spatial-Temporal Adaptive Graph Transformer for Traffic Flow Prediction Xiao Xu Lei Zhang Bailong Liu Zhi Liang Xuefei Zhang AI4TS 73 1 0 12 Oct 2023
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting Kashif Rasul Arjun Ashok Andrew Robert Williams Hena Ghonia Rishika Bhagwatkar ... Nicolas Chapados Alexandre Drouin Valentina Zantedeschi Yuriy Nevmyvaka Irina Rish AI4TS BDL 90 50 0 12 Oct 2023
Counterfactual Explanations for Time Series Forecasting Zhendong Wang Ioanna Miliou Isak Samsten P. Papapetrou BDL AI4TS OOD 75 5 0 12 Oct 2023
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis Zezhi Shao Fei Wang Yongjun Xu Wei Wei Chengqing Yu ... Guangyin Jin Xin Cao Gao Cong Christian S. Jensen Xueqi Cheng AI4TS 77 76 0 09 Oct 2023
Twin Graph-based Anomaly Detection via Attentive Multi-Modal Learning for Microservice System Jun Huang Yang Yang Hang Yu Jianguo Li Xiao Zheng AI4TS 33 14 0 07 Oct 2023
An Efficient Content-based Time Series Retrieval System Chin-Chia Michael Yeh Huiyuan Chen Xin Dai Yan Zheng Junpeng Wang ... Audrey Der Zhongfang Zhuang Liang Wang Wei Zhang Jeff M. Phillips 68 6 0 05 Oct 2023
Toward a Foundation Model for Time Series Data Chin-Chia Michael Yeh Xin Dai Huiyuan Chen Yan Zheng Yujie Fan ... Vivian Lai Zhongfang Zhuang Junpeng Wang Liang Wang Wei Zhang AI4TS AI4CE 159 26 0 05 Oct 2023
A Study of Quantisation-aware Training on Time Series Transformer Models for Resource-constrained FPGAs Tianheng Ling Chao Qian Lukas Einhaus Gregor Schiele 31 1 0 04 Oct 2023
TempoNet: Empowering long-term Knee Joint Angle Prediction with Dynamic Temporal Attention in Exoskeleton Control L. Saad Saoud Irfan Hussain 55 3 0 03 Oct 2023
Perceiver-based CDF Modeling for Time Series Forecasting Cat P. Le Chris Cannella Ali Hasan Yuting Ng Vahid Tarokh AI4TS 122 1 0 03 Oct 2023
Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data Zhichao Chen Leilei Ding Zhixuan Chu Yucheng Qi Jia-Bin Huang Hao Wang AI4TS 55 12 0 23 Sep 2023
Transformers versus LSTMs for electronic trading Paul Bilokon Yitao Qiu AI4TS AIFin 51 15 0 20 Sep 2023
Learning and DiSentangling Patient Static Information from Time-series Electronic HEalth Record (STEER) Wei-Duen Liao J. Voldman OOD CML 34 0 0 20 Sep 2023
TFBEST: Dual-Aspect Transformer with Learnable Positional Encoding for Failure Prediction Rohan Mohapatra Saptarshi Sengupta 52 3 0 06 Sep 2023
Encoding Seasonal Climate Predictions for Demand Forecasting with Modular Neural Network S. Marvaniya Jitendra Singh Nicolas Galichet Fred Ochieng Otieno Geeth de Mel Kommy Weldemariam AI4TS 117 0 0 05 Sep 2023
iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence Preservation Siwei Zhang Yun Xiong Yao Zhang Xixi Wu Yiheng Sun Jiawei Zhang AI4TS 76 4 0 05 Sep 2023
Business Metric-Aware Forecasting for Inventory Management Helen Zhou Sercan O. Arik Jingtao Wang AI4TS 62 4 0 24 Aug 2023
Multi-scale Transformer Pyramid Networks for Multivariate Time Series Forecasting Yifan Zhang Rui Wu S. Dascalu F. Harris AI4TS 47 18 0 23 Aug 2023
Learning Bottleneck Transformer for Event Image-Voxel Feature Fusion based Classification Chengguo Yuan Yu Jin Zong-Yao Wu Fanting Wei Yangzirui Wang Langlang Chen Tianlin Li ViT 144 7 0 23 Aug 2023
SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting Shengsheng Lin Weiwei Lin Wentai Wu Feiyu Zhao Ruichao Mo Haotong Zhang AI4TS 80 62 0 22 Aug 2023
ST-RAP: A Spatio-Temporal Framework for Real Estate Appraisal Hojoon Lee Hawon Jeong ByungKun Lee Kyungyup Lee Jaegul Choo AI4TS 53 7 0 21 Aug 2023
PETformer: Long-term Time Series Forecasting via Placeholder-enhanced Transformer Shengsheng Lin Weiwei Lin Wentai Wu Song Wang Yongxiang Wang AI4TS 77 21 0 09 Aug 2023
Sparse Binary Transformers for Multivariate Time Series Modeling Matt Gorbett Hossein Shirazi I. Ray AI4TS 88 14 0 09 Aug 2023
DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction Chengqing Yu Fei Wang Zezhi Shao Tao Sun Lin Wu Yongjun Xu AI4TS 80 89 0 07 Aug 2023
DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization Wang Lu Jindong Wang Xinwei Sun Yiqiang Chen Xiangyang Ji Qiang Yang Xingxu Xie OODD AI4TS 118 18 0 04 Aug 2023
HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting Zezhi Shao Fei Wang Zhao Zhang Yuchen Fang G. Jin Yongjun Xu ViT AI4TS 44 5 0 27 Jul 2023