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Domain Adaptation for Time Series Under Feature and Label Shifts
v1v2 (latest)

Domain Adaptation for Time Series Under Feature and Label Shifts

International Conference on Machine Learning (ICML), 2023
6 February 2023
Huan He
Owen Queen
Teddy Koker
Consuelo Cuevas
Theodoros Tsiligkaridis
Marinka Zitnik
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Domain Adaptation for Time Series Under Feature and Label Shifts"

27 / 27 papers shown
FaultDiffusion: Few-Shot Fault Time Series Generation with Diffusion Model
FaultDiffusion: Few-Shot Fault Time Series Generation with Diffusion Model
Yi Xu
Z. Chen
Rui Wang
Y. Li
Fengxiao Tang
Ming Zhao
Jiaqi Liu
DiffM
128
0
0
19 Nov 2025
Mitigating Negative Transfer via Reducing Environmental Disagreement
Mitigating Negative Transfer via Reducing Environmental Disagreement
Hui Sun
Zheng Xie
Hao He
Ming Li
114
0
0
28 Oct 2025
Resolution-Aware Retrieval Augmented Zero-Shot Forecasting
Resolution-Aware Retrieval Augmented Zero-Shot Forecasting
I. Deznabi
Peeyush Kumar
M. Fiterau
197
0
0
19 Oct 2025
MemPromptTSS: Persistent Prompt Memory for Iterative Multi-Granularity Time Series State Segmentation
MemPromptTSS: Persistent Prompt Memory for Iterative Multi-Granularity Time Series State Segmentation
Ching Chang
Ming-Chih Lo
Chiao-Tung Chan
Wen-Chih Peng
Tien-Fu Chen
AI4TS
72
0
0
11 Oct 2025
Multimodal Causal-Driven Representation Learning for Generalizable Medical Image Segmentation
Multimodal Causal-Driven Representation Learning for Generalizable Medical Image Segmentation
Xusheng Liang
Lihua Zhou
Nianxin Li
Miao Xu
Ziyang Song
Dong Yi
Jinlin Wu
Hongbin Liu
Jiebo Luo
Zhen Lei
111
0
0
07 Aug 2025
MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder
MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder
Seonyoung Kim
Dongil Kim
77
0
0
01 Aug 2025
From Entanglement to Alignment: Representation Space Decomposition for Unsupervised Time Series Domain Adaptation
From Entanglement to Alignment: Representation Space Decomposition for Unsupervised Time Series Domain Adaptation
Rongyao Cai
Ming Jin
Qingsong Wen
Kexin Zhang
285
0
0
28 Jul 2025
Multi-View Contrastive Learning for Robust Domain Adaptation in Medical Time Series Analysis
Multi-View Contrastive Learning for Robust Domain Adaptation in Medical Time Series AnalysisACM Conference on Health, Inference, and Learning (CHIL), 2025
YongKyung Oh
Alex Bui
OODAI4TS
136
0
0
27 Jun 2025
PromptTSS: A Prompting-Based Approach for Interactive Multi-Granularity Time Series Segmentation
PromptTSS: A Prompting-Based Approach for Interactive Multi-Granularity Time Series Segmentation
Ching Chang
Ming-Chih Lo
Wen-Chih Peng
Tien-Fu Chen
AI4TS
265
3
0
12 Jun 2025
Continuous Domain Generalization
Continuous Domain Generalization
Zekun Cai
Yiheng Yao
Guangji Bai
Renhe Jiang
Xuan Song
Ryosuke Shibasaki
Liang Zhao
OOD
587
0
0
17 May 2025
Bridging Distribution Gaps in Time Series Foundation Model Pretraining with Prototype-Guided Normalization
Bridging Distribution Gaps in Time Series Foundation Model Pretraining with Prototype-Guided Normalization
Peiliang Gong
Emadeldeen Eldele
Min Wu
Zhenghua Chen
Xiaoli Li
Daoqiang Zhang
AI4TSAI4CE
330
0
0
15 Apr 2025
Time Series Domain Adaptation via Latent Invariant Causal Mechanism
Time Series Domain Adaptation via Latent Invariant Causal Mechanism
Ruichu Cai
Junxian Huang
Zhenhui Yang
Zijian Li
Emadeldeen Eldele
Min Wu
Gang Hua
OODCMLBDLAI4TS
326
0
0
23 Feb 2025
UniTrans: A Unified Vertical Federated Knowledge Transfer Framework for Enhancing Cross-Hospital Collaboration
UniTrans: A Unified Vertical Federated Knowledge Transfer Framework for Enhancing Cross-Hospital Collaboration
Chung-ju Huang
Yuanpeng He
Xiao Han
Wenpin Jiao
Zhi Jin
Leye Wang
FedML
283
6
0
20 Jan 2025
Neural Network Prediction of Strong Lensing Systems with Domain Adaptation and Uncertainty Quantification
Neural Network Prediction of Strong Lensing Systems with Domain Adaptation and Uncertainty Quantification
Shrihan Agarwal
A. Ćiprijanović
Brian D. Nord
OOD
470
3
0
08 Jan 2025
Time and Frequency Synergy for Source-Free Time-Series Domain
  Adaptations
Time and Frequency Synergy for Source-Free Time-Series Domain Adaptations
Muhammad Furqon
Mahardhika Pratama
Ary Mazharuddin Shiddiqi
Lin Liu
Habibullah Habibullah
K. Doğançay
TTAAI4TS
242
3
0
23 Oct 2024
Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement
Efficient Source-Free Time-Series Adaptation via Parameter Subspace DisentanglementInternational Conference on Learning Representations (ICLR), 2024
Gaurav Patel
Christopher Sandino
Behrooz Mahasseni
Ellen L. Zippi
Erdrin Azemi
Ali Moin
Juri Minxha
TTAAI4TS
385
6
0
03 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
OODAI4TS
367
2
0
02 Oct 2024
Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptation
Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptation
Yucheng Wang
Peiliang Gong
Ruibing Jin
Felix Ott
Xiaoli Li
Lihua Xie
Zhenghua Chen
TTA
409
5
0
29 Sep 2024
Geodesic Optimization for Predictive Shift Adaptation on EEG data
Geodesic Optimization for Predictive Shift Adaptation on EEG data
Apolline Mellot
Antoine Collas
Sylvain Chevallier
Alexandre Gramfort
Denis A. Engemann
OOD
225
10
0
04 Jul 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
254
3
0
05 Feb 2024
Zero-shot Microclimate Prediction with Deep Learning
Zero-shot Microclimate Prediction with Deep Learning
I. Deznabi
Peeyush Kumar
M. Fiterau
211
0
0
05 Jan 2024
POND: Multi-Source Time Series Domain Adaptation with Information-Aware
  Prompt Tuning
POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning
Junxiang Wang
Guangji Bai
Wei Cheng
Zhengzhang Chen
Bo Pan
Haifeng Chen
AI4TS
370
10
0
19 Dec 2023
Deep Unsupervised Domain Adaptation for Time Series Classification: a Benchmark
Deep Unsupervised Domain Adaptation for Time Series Classification: a BenchmarkData mining and knowledge discovery (DMKD), 2023
Hassan Ismail Fawaz
Ganesh Del Grosso
Tanguy Kerdoncuff
Aurélie Boisbunon
Illyyne Saffar
AI4TS
329
2
0
15 Dec 2023
Phase Matching for Out-of-Distribution Generalization
Phase Matching for Out-of-Distribution Generalization
Chengming Hu
Ye Du
Rui Wang
Hao Chen
OOD
433
0
0
24 Jul 2023
Label-efficient Time Series Representation Learning: A Review
Label-efficient Time Series Representation Learning: A ReviewIEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
Emadeldeen Eldele
Mohamed Ragab
Zhenghua Chen
Ruibing Jin
C. Kwoh
Xiaoli Li
AI4TS
418
27
0
13 Feb 2023
CALDA: Improving Multi-Source Time Series Domain Adaptation with
  Contrastive Adversarial Learning
CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial Learning
Garrett Wilson
J. Doppa
D. Cook
200
53
0
30 Sep 2021
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2017
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GANOOD
1.1K
5,048
0
17 Feb 2017
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