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Online learning in online auctions., , , и . Theor. Comput. Sci., 324 (2-3): 137-146 (2004)Revisiting Few-sample BERT Fine-tuning, , , , и . (2020)cite arxiv:2006.05987Comment: Code available at https://github.com/asappresearch/revisit-bert-finetuning.Simplifying Graph Convolutional Networks, , , , , и . Proceedings of the 36th International Conference on Machine Learning, том 97 из Proceedings of Machine Learning Research, стр. 6861--6871. PMLR, (09--15 Jun 2019)On Feature Normalization and Data Augmentation., , , , и . CVPR, стр. 12383-12392. Computer Vision Foundation / IEEE, (2021)SLUE Phase-2: A Benchmark Suite of Diverse Spoken Language Understanding Tasks., , , , , , , , , и . ACL (1), стр. 8906-8937. Association for Computational Linguistics, (2023)SLUE: New Benchmark Tasks For Spoken Language Understanding Evaluation on Natural Speech., , , , , , и . ICASSP, стр. 7927-7931. IEEE, (2022)Wav2Seq: Pre-Training Speech-to-Text Encoder-Decoder Models Using Pseudo Languages., , , , , , и . ICASSP, стр. 1-5. IEEE, (2023)Structured Pruning of Self-Supervised Pre-Trained Models for Speech Recognition and Understanding., , , , и . ICASSP, стр. 1-5. IEEE, (2023)Simplifying Graph Convolutional Networks., , , , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 6861-6871. PMLR, (2019)A Comparative Study on E-Branchformer vs Conformer in Speech Recognition, Translation, and Understanding Tasks., , , , , , , , , и . INTERSPEECH, стр. 2208-2212. ISCA, (2023)