Out-of-Distribution Detection in Deep Learning Models: A Feature Space-Based Approach.
Thiago M. CarvalhoMarley M. B. R. VellascoJosé F. M. do AmaralPublished in: IJCNN (2023)
Keyphrases
- learning models
- feature space
- loss function
- machine learning
- learning algorithm
- semi supervised learning
- learning problems
- learning tasks
- machine learning algorithms
- machine learning models
- conditional random fields
- classification models
- high dimensional
- feature vectors
- classification accuracy
- prior knowledge
- higher order
- kernel function
- data points
- evolutionary algorithm
- training data
- decision trees
- feature selection
- computer vision
- information retrieval