Deep Individual Active Learning: Safeguarding against Out-of-Distribution Challenges in Neural Networks.
Shachar ShayovitzKoby BibasMeir FederPublished in: Entropy (2024)
Keyphrases
- active learning
- neural network
- lessons learned
- pattern recognition
- artificial neural networks
- expected loss
- information retrieval
- fuzzy logic
- semi supervised
- random sampling
- learning strategies
- transfer learning
- technical challenges
- spatial distribution
- gaussian distribution
- neural network model
- genetic algorithm
- machine learning
- real world
- back propagation
- multilayer perceptron
- cost sensitive
- associative memory
- semi supervised learning
- supervised learning
- fuzzy systems
- experimental design
- input pattern