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Not specified
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a combination of datasets from the scikit-learn library and the UCI machine... -
Select-by-Distinctive-Margin
Select-by-Distinctive-Margin (SDM) is a simple yet effective active learning method for active domain adaptation. -
SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup
Active learning is an important technique for low-resource sequence labeling tasks. However, current active sequence labeling methods use the queried samples alone in each... -
Generative Adversarial Active Learning
Generative Adversarial Active Learning (GAAL) algorithm using Generative Adversarial Networks (GAN) for active learning by query synthesis. -
Tumor Dataset
The proposed semi-automatic tract segmentation method is tested on a dataset containing tumor cases. -
Human Connectome Project
Modeling the behavior of coupled networks is challenging due to their intricate dynamics. For example in neuroscience, it is of critical importance to understand the...