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Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations., , , , , , , , и . CoRR, (2023)Efficient and fully scalable encryption for MPEG-4 FGS., , , , и . ISCAS (2), стр. 620-623. IEEE, (2003)Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution., , , , , и . CoRR, (2022)Margin Calibration for Long-Tailed Visual Recognition., , , , , и . ACML, том 189 из Proceedings of Machine Learning Research, стр. 1101-1116. PMLR, (2022)A Survey on Evaluation of Large Language Models., , , , , , , , , и 6 other автор(ы). ACM Trans. Intell. Syst. Technol., 15 (3): 39:1-39:45 (июня 2024)Exploiting Adapters for Cross-lingual Low-resource Speech Recognition., , , , , , и . CoRR, (2021)Exploiting Adapters for Cross-Lingual Low-Resource Speech Recognition., , , , , , и . IEEE ACM Trans. Audio Speech Lang. Process., (2022)Supervised Knowledge Makes Large Language Models Better In-context Learners., , , , , , , , , и 1 other автор(ы). CoRR, (2023)PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts., , , , , , , , , и 1 other автор(ы). CoRR, (2023)PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization., , , , , , , , , и 3 other автор(ы). CoRR, (2023)