Concept
AdaBoost
Publications associées (95)
Enabling Uncertainty Estimation in Iterative Neural Networks
Pascal Fua, Nikita Durasov, Doruk Oner, Minh Hieu Lê
Turning pass-through network architectures into iterative ones, which use their own output as input, is a well-known approach for boosting performance. In this paper, we argue that such architectures offer an additional benefit: The convergence rate of the ...
2024GANDALF: Graph-based transformer and Data Augmentation Active Learning Framework with interpretable features for multi-label chest Xray classification
Informative sample selection in an active learning (AL) setting helps a machine learning system attain optimum performance with minimum labeled samples, thus reducing annotation costs and boosting performance of computer-aided diagnosis systems in the pres ...
Amsterdam2024