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Out-of-Distribution Representation Learning for Time Series
  Classification

Out-of-Distribution Representation Learning for Time Series Classification

15 September 2022
Wang Lu
Jindong Wang
Xinwei Sun
Yiqiang Chen
Xingxu Xie
    OODD
    OOD
ArXivPDFHTML

Papers citing "Out-of-Distribution Representation Learning for Time Series Classification"

21 / 21 papers shown
Title
HAR-DoReMi: Optimizing Data Mixture for Self-Supervised Human Activity Recognition Across Heterogeneous IMU Datasets
HAR-DoReMi: Optimizing Data Mixture for Self-Supervised Human Activity Recognition Across Heterogeneous IMU Datasets
Lulu Ban
Tao Zhu
Xiangqing Lu
Qi Qiu
Wenyong Han
Shuangjian Li
L. Chen
Kevin I-Kai Wang
Mingxing Nie
Yaping Wan
59
0
0
16 Mar 2025
Simulations of Common Unsupervised Domain Adaptation Algorithms for Image Classification
A. Chaddad
Yihang Wu
Yuchen Jiang
Ahmed Bouridane
Christian Desrosiers
68
2
0
15 Feb 2025
Learning Latent Spaces for Domain Generalization in Time Series
  Forecasting
Learning Latent Spaces for Domain Generalization in Time Series Forecasting
Songgaojun Deng
Maarten de Rijke
CML
AI4TS
OOD
BDL
68
0
0
15 Dec 2024
Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series
  OOD Generalization
Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series OOD Generalization
Chengtao Jian
Kai Yang
Yang Jiao
AI4TS
31
3
0
09 Oct 2024
Evaluating the Generalization Ability of Spatiotemporal Model in Urban
  Scenario
Evaluating the Generalization Ability of Spatiotemporal Model in Urban Scenario
Hongjun Wang
Jiyuan Chen
Tong Pan
Zheng Dong
Lingyu Zhang
Renhe Jiang
Xuan Song
OOD
76
2
0
07 Oct 2024
FredNormer: Frequency Domain Normalization for Non-stationary Time
  Series Forecasting
FredNormer: Frequency Domain Normalization for Non-stationary Time Series Forecasting
Xihao Piao
Zheng Chen
Yushun Dong
Yasuko Matsubara
Yasushi Sakurai
OOD
AI4TS
21
0
0
02 Oct 2024
Towards Multimodal Open-Set Domain Generalization and Adaptation through
  Self-supervision
Towards Multimodal Open-Set Domain Generalization and Adaptation through Self-supervision
Hao Dong
Eleni Chatzi
Olga Fink
31
3
0
01 Jul 2024
Time-Series Forecasting for Out-of-Distribution Generalization Using
  Invariant Learning
Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning
Haoxin Liu
Harshavardhan Kamarthi
Lingkai Kong
Zhiyuan Zhao
Chao Zhang
B. Aditya Prakash
OODD
OOD
AI4TS
46
8
0
13 Jun 2024
Anole: Adapting Diverse Compressed Models For Cross-Scene Prediction On
  Mobile Devices
Anole: Adapting Diverse Compressed Models For Cross-Scene Prediction On Mobile Devices
Yunzhe Li
Hongzi Zhu
Zhuohong Deng
Yunlong Cheng
Liang Zhang
Shan Chang
Minyi Guo
23
0
0
09 May 2024
Elevator, Escalator or Neither? Classifying Pedestrian Conveyor State
  Using Inertial Navigation System
Elevator, Escalator or Neither? Classifying Pedestrian Conveyor State Using Inertial Navigation System
Tianlang He
Zhiqiu Xia
S.-H. Gary Chan
34
0
0
06 May 2024
Cross-user activity recognition using deep domain adaptation with
  temporal relation information
Cross-user activity recognition using deep domain adaptation with temporal relation information
Xiaozhou Ye
Waleed H. Abdulla
Nirmal Nair
Kevin I-Kai Wang
32
2
0
12 Mar 2024
UNITS: A Unified Multi-Task Time Series Model
UNITS: A Unified Multi-Task Time Series Model
Shanghua Gao
Teddy Koker
Owen Queen
Thomas Hartvigsen
Theodoros Tsiligkaridis
Marinka Zitnik
AI4TS
38
15
0
29 Feb 2024
Phase-driven Domain Generalizable Learning for Nonstationary Time Series
Phase-driven Domain Generalizable Learning for Nonstationary Time Series
Payal Mohapatra
Lixu Wang
Qi Zhu
AI4TS
27
2
0
05 Feb 2024
Target-agnostic Source-free Domain Adaptation for Regression Tasks
Target-agnostic Source-free Domain Adaptation for Regression Tasks
Tianlang He
Zhiqiu Xia
Jierun Chen
Haoliang Li
S.-H. Gary Chan
38
4
0
01 Dec 2023
SimMMDG: A Simple and Effective Framework for Multi-modal Domain
  Generalization
SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization
Hao Dong
Ismail Nejjar
Han Sun
Eleni Chatzi
Olga Fink
26
18
0
30 Oct 2023
Continuous Invariance Learning
Continuous Invariance Learning
Yong Lin
Fan Zhou
Lu Tan
Lintao Ma
Jiameng Liu
...
Yuan Yuan
Yu Liu
James Y. Zhang
Yujiu Yang
Hao Wang
CLL
OOD
39
3
0
09 Oct 2023
Unsupervised Representation Learning for Time Series: A Review
Unsupervised Representation Learning for Time Series: A Review
Qianwen Meng
Hangwei Qian
Yong Liu
Yonghui Xu
Zhiqi Shen
Li-zhen Cui
AI4TS
30
17
0
03 Aug 2023
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
Jean-Christophe Gagnon-Audet
Kartik Ahuja
Mohammad Javad Darvishi Bayazi
Pooneh Mousavi
G. Dumas
Irina Rish
OOD
CML
AI4TS
26
29
0
18 Mar 2022
Provable Domain Generalization via Invariant-Feature Subspace Recovery
Provable Domain Generalization via Invariant-Feature Subspace Recovery
Haoxiang Wang
Haozhe Si
Bo-wen Li
Han Zhao
OOD
60
32
0
30 Jan 2022
Robust Domain-Free Domain Generalization with Class-aware Alignment
Robust Domain-Free Domain Generalization with Class-aware Alignment
Wenyu Zhang
Mohamed Ragab
Ramón Sagarna
OOD
33
9
0
17 Feb 2021
Out-of-Distribution Generalization via Risk Extrapolation (REx)
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David M. Krueger
Ethan Caballero
J. Jacobsen
Amy Zhang
Jonathan Binas
Dinghuai Zhang
Rémi Le Priol
Aaron Courville
OOD
215
901
0
02 Mar 2020
1