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Challenges of Reliable, Realistic and Comparable Active Learning Evaluation.

, , , , and . IAL@PKDD/ECML, volume 1924 of CEUR Workshop Proceedings, page 2-14. CEUR-WS.org, (2017)

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Toward Optimal Probabilistic Active Learning Using a Bayesian Approach, , , , , and . arXiv e-prints, (2020)Fast Bayesian Updates for Deep Learning with a Use Case in Active Learning., , , , , and . CoRR, (2022)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)Separation of Aleatoric and Epistemic Uncertainty in Deterministic Deep Neural Networks., , , and . ICPR, page 9172-9179. IEEE, (2020)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)Who knows best? A Case Study on Intelligent Crowdworker Selection via Deep Learning, , , , and . International Workshop & Tutorial on Interactive Adaptive Learning (IAL), Torino, Italy, (2023)A Review of Uncertainty Calibration in Pretrained Object Detectors., , , and . CoRR, (2022)Active Label Refinement for Semantic Segmentation of Satellite Images., , , , , , , and . CoRR, (2023)Multi-annotator Deep Learning: A Probabilistic Framework for Classification., , and . CoRR, (2023)