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CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting
3 February 2022
Gerald Woo
Chenghao Liu
Doyen Sahoo
Akshat Kumar
Steven C. H. Hoi
AI4TS
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Papers citing
"CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting"
24 / 24 papers shown
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Full Scaling Automation for Sustainable Development of Green Data Centers
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A Survey on Deep Learning based Time Series Analysis with Frequency Transformation
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LongBing Cao
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Guodong Long
Liang Hu
Hui He
ZhenDong Niu
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Hui Xiong
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142
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04 Feb 2023
A Robust and Efficient Multi-Scale Seasonal-Trend Decomposition
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Qingsong Wen
Bo Yang
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18 Sep 2021
Time-Series Representation Learning via Temporal and Contextual Contrasting
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Mohamed Ragab
Zhenghua Chen
Min-man Wu
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Cuntai Guan
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26 Jun 2021
TS2Vec: Towards Universal Representation of Time Series
Zhihan Yue
Yujing Wang
Juanyong Duan
Tianmeng Yang
Congrui Huang
Yu Tong
Bixiong Xu
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19 Jun 2021
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding
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01 Jun 2021
FastMoE: A Fast Mixture-of-Expert Training System
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Representation Learning via Invariant Causal Mechanisms
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A Transformer-based Framework for Multivariate Time Series Representation Learning
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Momentum Contrast for Unsupervised Visual Representation Learning
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Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
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Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting
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Xiaoyong Jin
Yao Xuan
Xiyou Zhou
Wenhu Chen
Yu Wang
Xifeng Yan
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121
1,429
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29 Jun 2019
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
Boris N. Oreshkin
Dmitri Carpov
Nicolas Chapados
Yoshua Bengio
AI4TS
127
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24 May 2019
Unsupervised Scalable Representation Learning for Multivariate Time Series
Jean-Yves Franceschi
Aymeric Dieuleveut
Martin Jaggi
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59
456
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30 Jan 2019
RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series
Qingsong Wen
Jing Gao
Xiaomin Song
Liang Sun
Huan Xu
Shenghuo Zhu
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211
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05 Dec 2018
Representation Learning with Contrastive Predictive Coding
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Yazhe Li
Oriol Vinyals
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351
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10 Jul 2018
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
Shaojie Bai
J. Zico Kolter
V. Koltun
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99
4,851
0
04 Mar 2018
Multivariate Bayesian Structural Time Series Model
S. Jammalamadaka
Jinwen Qiu
Ning Ning
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34
62
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Learning Independent Causal Mechanisms
Giambattista Parascandolo
Niki Kilbertus
Mateo Rojas-Carulla
Bernhard Schölkopf
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62
182
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04 Dec 2017
A Multi-Horizon Quantile Recurrent Forecaster
Ruofeng Wen
Kari Torkkola
Balakrishnan Narayanaswamy
Dhruv Madeka
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63
433
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Neural Decomposition of Time-Series Data for Effective Generalization
Luke B. Godfrey
Michael S. Gashler
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57
62
0
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Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks
Guokun Lai
Wei-Cheng Chang
Yiming Yang
Hanxiao Liu
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115
2,025
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Representation Learning: A Review and New Perspectives
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Aaron Courville
Pascal Vincent
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286
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24 Jun 2012
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