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Learning Functions to Study the Benefit of Multitask Learning., , и . CoRR, (2020)Task-Adaptive Pre-Training for Boosting Learning With Noisy Labels: A Study on Text Classification for African Languages., , , , и . CoRR, (2022)SoloFinger: Robust Microgestures while Grasping Everyday Objects., , , , , , , , и . CHI, стр. 744:1-744:15. ACM, (2021)Weak supervision and label noise handling for Natural language processing in low-resource scenarios.. Saarland University, Saarbrücken, Germany, (2022)Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels., , и . EMNLP/IJCNLP (1), стр. 3552-3557. Association for Computational Linguistics, (2019)SparseIMU: Computational Design of Sparse IMU Layouts for Sensing Fine-grained Finger Microgestures., , , , , , , и . ACM Trans. Comput. Hum. Interact., 30 (3): 39:1-39:40 (2023)Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling., , , и . NAACL-HLT (Student Research Workshop), стр. 29-34. Association for Computational Linguistics, (2019)Label-Descriptive Patterns and Their Application to Characterizing Classification Errors., , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 8691-8707. PMLR, (2022)A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios, , , , и . (23.10.2020)Estimating Formulas for Model Performance Under Noisy Labels Using Symbolic Regression., , , и . ESANN, (2021)