Transfer Learning Gaussian Anomaly Detection by Fine-Tuning Representations.
Oliver RippelArnav ChavanChucai LeiDorit MerhofPublished in: CoRR (2021)
Keyphrases
- anomaly detection
- transfer learning
- fine tuning
- learning tasks
- intrusion detection
- knowledge transfer
- cross domain
- machine learning
- reinforcement learning
- active learning
- anomalous behavior
- labeled data
- semi supervised learning
- detecting anomalies
- network intrusion detection
- network traffic
- intrusion detection system
- one class support vector machines
- transfer knowledge
- text classification
- domain adaptation
- unsupervised learning
- detect anomalies
- network anomaly detection
- collaborative filtering
- machine learning algorithms
- target domain
- multi task
- activity recognition
- maximum likelihood
- text mining
- training data
- neural network
- unlabeled data
- supervised learning
- data points
- real world