Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty.
Changbin LiKangshuo LiYuzhe OuLance M. KaplanAudun JøsangJin-Hee ChoDong Hyun JeongFeng ChenPublished in: ICLR (2024)
Keyphrases
- deep learning
- unsupervised learning
- restricted boltzmann machine
- machine learning
- pattern recognition
- support vector
- decision trees
- image classification
- text classification
- unsupervised feature learning
- feature selection
- input image
- deep architectures
- weakly supervised
- belief functions
- higher order
- information extraction
- support vector machine
- active learning
- pairwise
- learning algorithm