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        TITLE = "EfficientTrain: Exploring Generalized Curriculum Learning for
Training Visual Backbones",
        BOOKTITLE = ICCV23,
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@inproceedings{bb144701,
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@inproceedings{bb144702,
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@inproceedings{bb144703,
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        TITLE = "Deep Incubation: Training Large Models by Divide-and-Conquering",
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@inproceedings{bb144704,
        AUTHOR = "Park, H. and Noh, J. and Oh, Y. and Baek, D. and Ham, B.",
        TITLE = "ACLS: Adaptive and Conditional Label Smoothing for Network
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@inproceedings{bb144705,
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        TITLE = "Studying How to Efficiently and Effectively Guide Models with
Explanations",
        BOOKTITLE = ICCV23,
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@inproceedings{bb144706,
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Reducing Mistake Severity",
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@inproceedings{bb144707,
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@inproceedings{bb144708,
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        TITLE = "Using Diffusion Models for Dataset Generation:
Prompt Engineering vs. Fine-tuning",
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        PAGES = "I:142-152",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652det4.html#TT140688"}

@inproceedings{bb144709,
        AUTHOR = "Spatafora, M.A.N. and Ortis, A. and Battiato, S.",
        TITLE = "GLR: Gradient-based Learning Rate Scheduler",
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@inproceedings{bb144710,
        AUTHOR = "Liang, K.M. and Wang, X.R. and Wei, T. and Chen, W. and Ma, Z.Y. and Guo, J.",
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@inproceedings{bb144711,
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        TITLE = "Dodging the Double Descent in Deep Neural Networks",
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@inproceedings{bb144712,
        AUTHOR = "Kleinman, M. and Achille, A. and Soatto, S.",
        TITLE = "Critical Learning Periods for Multisensory Integration in Deep
Networks",
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@inproceedings{bb144713,
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@inproceedings{bb144714,
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@inproceedings{bb144715,
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@inproceedings{bb144716,
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@inproceedings{bb144717,
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@inproceedings{bb144718,
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@inproceedings{bb144720,
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@inproceedings{bb144722,
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@inproceedings{bb144751,
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@inproceedings{bb144752,
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@inproceedings{bb144753,
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@inproceedings{bb144754,
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@inproceedings{bb144755,
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@inproceedings{bb144756,
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@inproceedings{bb144757,
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@inproceedings{bb144758,
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@inproceedings{bb144759,
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@inproceedings{bb144760,
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@inproceedings{bb144763,
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@inproceedings{bb144770,
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@inproceedings{bb144776,
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