The paper claims a transfer-learning model with adversarial alignment and pseudo-labels outperforms four existing methods for cloud fault root cause identification, but the experiments are not reproducible.
Anomaly Detection in Microservice Environments via Conditional Multiscale GANs and Adaptive Temporal Autoencoders,
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Domain-Adversarial Transfer Learning for Fault Root Cause Identification in Cloud Computing Systems
The paper claims a transfer-learning model with adversarial alignment and pseudo-labels outperforms four existing methods for cloud fault root cause identification, but the experiments are not reproducible.