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        TITLE = "FFCV: Accelerating Training by Removing Data Bottlenecks",
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        AUTHOR = "Sarfi, A.M. and Karimpour, Z. and Chaudhary, M. and Khalid, N.M. and Ravanelli, M. and Mudur, S. and Belilovsky, E.",
        TITLE = "Simulated Annealing in Early Layers Leads to Better Generalization",
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@inproceedings{bb141602,
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        TITLE = "SimDE: A Simple Domain Expansion Approach for Single-source Domain
Generalization",
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@inproceedings{bb141603,
        AUTHOR = "Chen, J. and Gao, Z. and Wu, X.X. and Luo, J.B.",
        TITLE = "Meta-Causal Learning for Single Domain Generalization",
        BOOKTITLE = CVPR23,
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@inproceedings{bb141604,
        AUTHOR = "Choi, S. and Das, D. and Choi, S. and Yang, S. and Park, H. and Yun, S.",
        TITLE = "Progressive Random Convolutions for Single Domain Generalization",
        BOOKTITLE = CVPR23,
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@inproceedings{bb141605,
        AUTHOR = "Lee, S. and Bae, J. and Kim, H.Y.",
        TITLE = "Decompose, Adjust, Compose: Effective Normalization by Playing with
Frequency for Domain Generalization",
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@inproceedings{bb141606,
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        TITLE = "Deep Frequency Filtering for Domain Generalization",
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@inproceedings{bb141607,
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        TITLE = "NICO++: Towards Better Benchmarking for Domain Generalization",
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@inproceedings{bb141608,
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        TITLE = "DART: Diversify-Aggregate-Repeat Training Improves Generalization of
Neural Networks",
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@inproceedings{bb141609,
        AUTHOR = "Guo, J.T. and Wang, N. and Qi, L. and Shi, Y.H.",
        TITLE = "ALOFT: A Lightweight MLP-Like Architecture with Dynamic Low-Frequency
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@inproceedings{bb141610,
        AUTHOR = "Qu, S.Q. and Pan, Y.W. and Chen, G. and Yao, T. and Jiang, C.J. and Mei, T.",
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@inproceedings{bb141611,
        AUTHOR = "Wang, P.F. and Zhang, Z.X. and Lei, Z. and Zhang, L.",
        TITLE = "Sharpness-Aware Gradient Matching for Domain Generalization",
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@inproceedings{bb141612,
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        TITLE = "Crossing the Gap: Domain Generalization for Image Captioning",
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@inproceedings{bb141613,
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Domain Permutation and Domain Augmentation",
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@inproceedings{bb141615,
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@inproceedings{bb141616,
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@inproceedings{bb141648,
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@inproceedings{bb141649,
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@inproceedings{bb141650,
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@inproceedings{bb141651,
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@inproceedings{bb141652,
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@inproceedings{bb141654,
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@inproceedings{bb141655,
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@inproceedings{bb141656,
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@article{bb141697,
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