Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations.
Oliver RippelArnav ChavanChucai LeiDorit MerhofPublished in: IMPROVE (2022)
Keyphrases
- anomaly detection
- transfer learning
- fine tuning
- knowledge transfer
- learning tasks
- intrusion detection
- labeled data
- anomalous behavior
- detecting anomalies
- network intrusion detection
- active learning
- cross domain
- machine learning
- intrusion detection system
- text classification
- reinforcement learning
- collaborative filtering
- network traffic
- activity recognition
- unsupervised learning
- one class support vector machines
- detect anomalies
- text categorization
- semi supervised learning
- machine learning algorithms
- databases
- network anomaly detection
- transfer knowledge
- domain adaptation
- semi supervised
- target domain
- unlabeled data
- decision trees
- feature selection
- computer vision
- training data
- learning algorithm
- supervised learning
- maximum likelihood
- data points
- negative selection algorithm