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CALDA: Improving Multi-Source Time Series Domain Adaptation with
  Contrastive Adversarial Learning

CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial Learning

30 September 2021
Garrett Wilson
J. Doppa
D. Cook
ArXivPDFHTML

Papers citing "CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial Learning"

5 / 5 papers shown
Title
VaCDA: Variational Contrastive Alignment-based Scalable Human Activity Recognition
VaCDA: Variational Contrastive Alignment-based Scalable Human Activity Recognition
Soham Khisa
Avijoy Chakma
51
0
0
08 May 2025
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
56
0
0
01 May 2025
Source-Free Domain Adaptation with Temporal Imputation for Time Series
  Data
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
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by
  Aggregation
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation
Marius-Constantin Dinu
Markus Holzleitner
M. Beck
Hoan Duc Nguyen
Andrea Huber
Hamid Eghbalzadeh
Bernhard A. Moser
S. Pereverzyev
Sepp Hochreiter
Werner Zellinger
36
11
0
02 May 2023
Contrastive Learning for Unsupervised Domain Adaptation of Time Series
Contrastive Learning for Unsupervised Domain Adaptation of Time Series
Yilmazcan Ozyurt
Stefan Feuerriegel
Ce Zhang
AI4TS
26
45
0
13 Jun 2022
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