ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2109.14778
  4. Cited By
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"

3 / 3 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
36
0
0
01 May 2025
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
31
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
21
44
0
13 Jun 2022
1