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Self-training with Noisy Student improves ImageNet classification, , , and . (2019)cite arxiv:1911.04252.Multi-Source Test-Time Adaptation as Dueling Bandits for Extractive Question Answering., , and . ACL (1), page 9647-9660. Association for Computational Linguistics, (2023)Meta Pseudo Labels., , , and . CVPR, page 11557-11568. Computer Vision Foundation / IEEE, (2021)Self-Training With Noisy Student Improves ImageNet Classification., , , and . CVPR, page 10684-10695. Computer Vision Foundation / IEEE, (2020)Large-scale Cloze Test Dataset Created by Teachers., , , and . EMNLP, page 2344-2356. Association for Computational Linguistics, (2018)Unsupervised Data Augmentation for Consistency Training., , , , and . NeurIPS, (2020)An Interpretable Knowledge Transfer Model for Knowledge Base Completion., , , and . ACL (1), page 950-962. Association for Computational Linguistics, (2017)Recurrent Polynomial Network for Dialogue State Tracking., , and . D&D, 7 (3): 65-88 (2016)Meta Pseudo Labels., , , and . CoRR, (2020)Towards Data-Efficient Machine Learning.. Carnegie Mellon University, USA, (2021)