A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection
in Industrial Time Series: Methods, Applications, and Directions

A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions

11 July 2023

Ahmed Abdulkadir

Paul-Philipp Luley

Matthias Rosenthal

Gerrit A. Schatte

Thilo Stadelmann

Papers citing "A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions"

12 / 12 papers shown

Title
Learning Actionable World Models for Industrial Process Control Peng Yan Ahmed Abdulkadir Gerrit A. Schatte Giulia Anguzzi Joonsu Gha Nikola Pascher Matthias Rosenthal Yunlong Gao Benjamin Grewe Thilo Stadelmann DRL AI4CE 49 0 0 03 Mar 2025
Continuous Test-time Domain Adaptation for Efficient Fault Detection under Evolving Operating Conditions Han Sun Kevin Ammann Stylianos Giannoulakis Olga Fink TTA 24 1 0 06 Jun 2024
MST-GAT: A Multimodal Spatial-Temporal Graph Attention Network for Time Series Anomaly Detection Chaoyue Ding Shiliang Sun Jing Zhao AI4TS 21 139 0 17 Oct 2023
DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection Yiyuan Yang Chaoli Zhang Tian Zhou Qingsong Wen Liang Sun AI4TS 95 114 0 17 Jun 2023
Multilingual Translation via Grafting Pre-trained Language Models Zewei Sun Mingxuan Wang Lei Li AI4CE 181 22 0 11 Sep 2021
Fine-tuning GPT-3 for Russian Text Summarization Alexandr Nikolich Arina Puchkova 36 24 0 07 Aug 2021
Regularization-based Continual Learning for Anomaly Detection in Discrete Manufacturing Benjamin Maschler T. Pham M. Weyrich 22 31 0 02 Jan 2021
Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning Tailai Wen Roy Keyes AI4TS 28 124 0 31 May 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning Weifeng Ge Yizhou Yu 86 232 0 28 Feb 2017
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 149 9,300 0 28 May 2015
SMOTE: Synthetic Minority Over-sampling Technique Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 160 25,150 0 09 Jun 2011