TSAD-papers

This repository mainly contains summaries and interpretations of the papers on time series anomaly detection shared by our team

All summaries and interpertations of papers listed below can be found in the sharers' directory

TSAD + Transfer Learning

• 《Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data》 KDD 2020 shared by HuGanghui paper link

• 《Cross-dataset Time Series Anomaly Detection for Cloud Systems》USENIX ATC 2019 Microsoft Research Team shared by HuGanghui paper link

TSAD + Active Learning

• 《Cross-dataset Time Series Anomaly Detection for Cloud Systems》USENIX ATC 2019 Microsoft Research Team shared by HuGanghui paper link

TSAD + Representation Learning

• 《UNSUPERVISED REPRESENTATION LEARNING BY PREDICTING RANDOM DISTANCES》IJCAI 2020 shared by HuGanghui paper link