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Domain Adaptation for Time Series Forecasting via Attention Sharing

Domain Adaptation for Time Series Forecasting via Attention Sharing

13 February 2021
Xiaoyong Jin
Youngsuk Park
Danielle C. Maddix
Bernie Wang
Xifeng Yan
    TTA
    OOD
    AI4TS
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Papers citing "Domain Adaptation for Time Series Forecasting via Attention Sharing"

5 / 5 papers shown
Title
CICADA: Cross-Domain Interpretable Coding for Anomaly Detection and Adaptation in Multivariate Time Series
CICADA: Cross-Domain Interpretable Coding for Anomaly Detection and Adaptation in Multivariate Time Series
Tian-Shing Lan
Yifei Gao
Yimeng Lu
Chen Zhang
16
0
0
01 May 2025
Learning Quantile Functions without Quantile Crossing for
  Distribution-free Time Series Forecasting
Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting
Youngsuk Park
Danielle C. Maddix
Franccois-Xavier Aubet
Kelvin K. Kan
Jan Gasthaus
Yuyang Wang
UQCV
AI4TS
56
31
0
12 Nov 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series
  Forecasting
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Haoyi Zhou
Shanghang Zhang
J. Peng
Shuai Zhang
Jianxin Li
Hui Xiong
Wan Zhang
AI4TS
139
2,327
0
14 Dec 2020
Deep Multi-Output Forecasting: Learning to Accurately Predict Blood
  Glucose Trajectories
Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories
Ian Fox
Lynn Ang
M. Jaiswal
R. Pop-Busui
Jenna Wiens
OOD
AI4TS
31
70
0
14 Jun 2018
Soft-DTW: a Differentiable Loss Function for Time-Series
Soft-DTW: a Differentiable Loss Function for Time-Series
Marco Cuturi
Mathieu Blondel
AI4TS
98
520
0
05 Mar 2017
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