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Multi-annotator Deep Learning: A Probabilistic Framework for Classification

, , and . Transactions on Machine Learning Research, (2023)

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Collaborative Interactive Learning -- A clarification of terms and a differentiation from other research fields, , , , , , , , , and 1 other author(s). arXiv e-prints, (2019)Fast Bayesian Updates for Deep Learning with a Use Case in Active Learning., , , , , and . CoRR, (2022)Toward Optimal Probabilistic Active Learning Using a Bayesian Approach, , , , , and . arXiv e-prints, (2020)A Concept for Highly Automated Pre-Labeling via Cross-Domain Label Transfer for Perception in Autonomous Driving, , , and . Workshop on Interactive Adaptive Learning (IAL), ECML PKDD, (2021)(accepted).Exploring the Potential of Optimal Active Learning via a Non-myopic Oracle Policy., , , and . DS, volume 14276 of Lecture Notes in Computer Science, page 265-276. Springer, (2023)scikit-activeml: A Library and Toolbox for Active Learning Algorithms, , , , , , , and . Preprints, (2021)A Concept for Automated Polarized Web Content Annotation based on Multimodal Active Learning., , , , and . IAL@PKDD/ECML, volume 3259 of CEUR Workshop Proceedings, page 1-6. CEUR-WS.org, (2022)Separation of Aleatoric and Epistemic Uncertainty in Deterministic Deep Neural Networks., , , and . ICPR, page 9172-9179. IEEE, (2020)Active Learning with Fast Model Updates and Class-Balanced Selection for Imbalanced Datasets., , , , and . IAL@PKDD/ECML, volume 3470 of CEUR Workshop Proceedings, page 25-45. CEUR-WS.org, (2023)Role of Hyperparameters in Deep Active Learning., , , and . IAL@PKDD/ECML, volume 3470 of CEUR Workshop Proceedings, page 19-24. CEUR-WS.org, (2023)