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Toward Optimal Probabilistic Active Learning Using a Bayesian Approach, , , , , и . arXiv e-prints, (2020)dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans., , , и . CoRR, (2024)Fast Bayesian Updates for Deep Learning with a Use Case in Active Learning, , , , , и . arXiv e-prints, (2022)Annot-Mix: Learning with Noisy Class Labels from Multiple Annotators via a Mixup Extension., , , и . ECAI, том 392 из Frontiers in Artificial Intelligence and Applications, стр. 2910-2918. IOS Press, (2024)A Concept for Automated Polarized Web Content Annotation based on Multimodal Active Learning., , , , и . IAL@PKDD/ECML, том 3259 из CEUR Workshop Proceedings, стр. 1-6. CEUR-WS.org, (2022)Separation of Aleatoric and Epistemic Uncertainty in Deterministic Deep Neural Networks., , , и . ICPR, стр. 9172-9179. IEEE, (2020)Active Learning with Fast Model Updates and Class-Balanced Selection for Imbalanced Datasets., , , , и . IAL@PKDD/ECML, том 3470 из CEUR Workshop Proceedings, стр. 25-45. CEUR-WS.org, (2023)Role of Hyperparameters in Deep Active Learning., , , и . IAL@PKDD/ECML, том 3470 из CEUR Workshop Proceedings, стр. 19-24. CEUR-WS.org, (2023)ActiveGLAE: A Benchmark for Deep Active Learning with Transformers., , , , , и . ECML/PKDD (1), том 14169 из Lecture Notes in Computer Science, стр. 55-74. Springer, (2023)A Review of Uncertainty Calibration in Pretrained Object Detectors, , , и . arXiv e-prints, (2022)