Domain Adaptation for Time Series Forecasting via Attention Sharing

Domain Adaptation for Time Series Forecasting via Attention Sharing

13 February 2021

Danielle C. Maddix

Papers citing "Domain Adaptation for Time Series Forecasting via Attention Sharing"

19 / 19 papers shown

Title
CICADA: Cross-Domain Interpretable Coding for Anomaly Detection and Adaptation in Multivariate Time Series Tian-Shing Lan Yifei Gao Yimeng Lu Chen Zhang 56 0 0 01 May 2025
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data Ege Onur Taga M. E. Ildiz Samet Oymak AI4TS 55 2 0 22 Feb 2025
Forecasting with Hyper-Trees Alexander März Kashif Rasul 44 0 0 13 May 2024
Pyramidal Hidden Markov Model For Multivariate Time Series Forecasting YeXin Huang AI4TS 25 0 0 22 Oct 2023
Source-Free Domain Adaptation with Temporal Imputation for Time Series Data Mohamed Ragab Emadeldeen Eldele Min-man Wu Chuan-Sheng Foo Xiaoli Li Zhenghua Chen TTA AI4TS 19 18 0 14 Jul 2023
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors Yong Liu Chenyu Li Jianmin Wang Mingsheng Long AI4TS 28 101 0 30 May 2023
Feature-aligned N-BEATS with Sinkhorn divergence Joon-Young Lee Myeongho Jeon Myung-joo Kang Kyung-soon Park AI4TS 22 0 0 24 May 2023
Label-efficient Time Series Representation Learning: A Review Emadeldeen Eldele Mohamed Ragab Zhenghua Chen Min-man Wu C. Kwoh Xiaoli Li AI4TS 27 13 0 13 Feb 2023
Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts Rui Wang Yihe Dong Sercan Ö. Arik Rose Yu AI4TS 31 22 0 07 Oct 2022
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection Navid Ghassemi E. F. Ersi AAML OODD 20 4 0 26 Sep 2022
Intrinsic Anomaly Detection for Multi-Variate Time Series Stephan Rabanser Tim Januschowski Kashif Rasul Oliver Borchert Richard Kurle Jan Gasthaus Michael Bohlke-Schneider Nicolas Papernot Valentin Flunkert AI4TS 28 4 0 29 Jun 2022
Contrastive Learning for Unsupervised Domain Adaptation of Time Series Yilmazcan Ozyurt Stefan Feuerriegel Ce Zhang AI4TS 26 45 0 13 Jun 2022
Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift Felix Ott David Rügamer Lucas Heublein Bernd Bischl Christopher Mutschler OOD TTA AI4TS 33 31 0 07 Apr 2022
Robust Probabilistic Time Series Forecasting Taeho Yoon Youngsuk Park Ernest K. Ryu Yuyang Wang AAML AI4TS 18 18 0 24 Feb 2022
Multivariate Quantile Function Forecaster Kelvin K. Kan Franccois-Xavier Aubet Tim Januschowski Youngsuk Park Konstantinos Benidis Lars Ruthotto Jan Gasthaus AI4TS 37 22 0 23 Feb 2022
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 91 37 0 12 Nov 2021
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 169 3,876 0 14 Dec 2020
Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories Ian Fox Lynn Ang M. Jaiswal R. Pop-Busui Jenna Wiens OOD AI4TS 62 77 0 14 Jun 2018
Soft-DTW: a Differentiable Loss Function for Time-Series Marco Cuturi Mathieu Blondel AI4TS 141 611 0 05 Mar 2017