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Dataset Balancing Can Hurt Model Performance.

, , , , , и . ICASSP, стр. 1-5. IEEE, (2023)

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Frank Rodolfo Fonseca Fonseca

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Audiovisual Masked Autoencoders., , , , , и . ICCV, стр. 16098-16108. IEEE, (2023)Toward Interpretable Polyphonic Sound Event Detection with Attention Maps Based on Local Prototypes., , , , и . DCASE, стр. 50-54. (2021)What's all the Fuss about Free Universal Sound Separation Data?, , , , , , , , и . ICASSP, стр. 186-190. IEEE, (2021)Dataset Balancing Can Hurt Model Performance., , , , , и . ICASSP, стр. 1-5. IEEE, (2023)Learning Sound Event Classifiers from Web Audio with Noisy Labels., , , , , и . ICASSP, стр. 21-25. IEEE, (2019)Experimenting Middleware-Level Monitoring Facilities to Observe Component-based Applications., , и . SBCARS, стр. 96-106. SBC - Brazilian Computer Society, (2008)Model-Agnostic Approaches To Handling Noisy Labels When Training Sound Event Classifiers., , и . WASPAA, стр. 16-20. IEEE, (2019)Addressing Missing Labels in Large-scale Sound Event Recognition using a Teacher-student Framework with Loss Masking., , , , , , и . CoRR, (2020)Description and Analysis of Novelties Introduced in DCASE Task 4 2022 on the Baseline System., , , , , и . DCASE, Tampere University, (2022)HEAR: Holistic Evaluation of Audio Representations., , , , , , , , , и 13 other автор(ы). NeurIPS (Competition and Demos), том 176 из Proceedings of Machine Learning Research, стр. 125-145. PMLR, (2021)