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        TITLE = "Self-Guidance: Improve Deep Neural Network Generalization via
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        TITLE = "Dataset Distillation: A Comprehensive Review",
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        TITLE = "A Comprehensive Survey of Dataset Distillation",
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@article{bb134707,
        AUTHOR = "Jin, H.D. and Kim, E.",
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@article{bb134708,
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        TITLE = "DD-RobustBench: An Adversarial Robustness Benchmark for Dataset
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@article{bb134709,
        AUTHOR = "Ma, Z.H. and Cao, A. and Yang, F. and Gong, Y.H. and Wei, X.",
        TITLE = "Curriculum Dataset Distillation",
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@article{bb134710,
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        TITLE = "Drop2Sparse: Improving Dataset Distillation via Sparse Model",
        JOURNAL = CirSysVideo,
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        YEAR = "2025",
        NUMBER = "8",
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        TITLE = "OPTICAL: Leveraging Optimal Transport for Contribution Allocation in
Dataset Distillation",
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Pre-Trained Models",
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@article{bb134762,
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        AUTHOR = "Pang, S. and He, X. and Hao, W.Y. and Long, Y.",
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        JOURNAL = CVIU,
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        YEAR = "2023",
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        TITLE = "Context-Aware Robust Fine-Tuning",
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@article{bb134765,
        AUTHOR = "Zhu, H. and Gao, Z. and Wang, J.Y. and Zhou, Y. and Li, C.Q.",
        TITLE = "Few-Shot Fine-Grained Image Classification via Multi-Frequency
Neighborhood and Double-Cross Modulation",
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@article{bb134766,
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        TITLE = "EVA: Enabling Video Attributes With Hierarchical Prompt Tuning for
Action Recognition",
        JOURNAL = SPLetters,
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        PAGES = "971-975",
        BIBSOURCE = "http://www.visionbib.com/bibliography/match600fitu4.html#TT130783"}

@article{bb134767,
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        TITLE = "TA-MSA: A Fine-Tuning Framework for Few-Shot Remote Sensing Scene
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@article{bb134768,
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        TITLE = "A Novel Adaptive Fine-Tuning Algorithm for Multimodal Models:
Self-Optimizing Classification and Selection of High-Quality Datasets
in Remote Sensing",
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        NUMBER = "10",
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        AUTHOR = "Peng, Z.L. and Xu, Z.Q. and Zeng, Z.L. and Wen, C.S. and Huang, Y. and Yang, M.L. and Tang, F.L. and Shen, W.",
        TITLE = "Understanding Fine-tuning CLIP for Open-vocabulary Semantic
Segmentation in Hyperbolic Space",
        BOOKTITLE = CVPR25,
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        PAGES = "4562-4572",
        BIBSOURCE = "http://www.visionbib.com/bibliography/match600fitu4.html#TT130786"}

@inproceedings{bb134770,
        AUTHOR = "Peng, Z.L. and Xu, Z.Q. and Zeng, Z.L. and Huang, Y. and Wang, Y.M. and Shen, W.",
        TITLE = "Parameter-efficient Fine-tuning in Hyperspherical Space for
Open-vocabulary Semantic Segmentation",
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        YEAR = "2025",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/match600fitu4.html#TT130787"}

@article{bb134771,
        AUTHOR = "Zhang, F. and Zhou, T.F. and Yao, J.C. and Zhang, Y. and Tsang, I.W. and Wang, Y.F.",
        TITLE = "Decouple Before Align: Visual Disentanglement Enhances Prompt Tuning",
        JOURNAL = PAMI,
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        MONTH = "November",
        PAGES = "10619-10632",
        BIBSOURCE = "http://www.visionbib.com/bibliography/match600fitu4.html#TT130788"}

@article{bb134772,
        AUTHOR = "Fu, M.H. and Zhu, K. and Ding, Z.H. and Wu, J.X.",
        TITLE = "DTL: Parameter- and Memory-Efficient Disentangled Vision Learning",
        JOURNAL = PAMI,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/match600fitu4.html#TT130789"}

@inproceedings{bb134773,
        AUTHOR = "Chen, X. and Li, W. and Liu, C.X. and Xie, C. and Hu, X.Y. and Ma, C.Q. and Zhu, F. and Zhao, R.",
        TITLE = "On the Suitability of Reinforcement Fine-Tuning to Visual Tasks",
        BOOKTITLE = FGVC25,
        YEAR = "2025",
        PAGES = "3348-3352",
        BIBSOURCE = "http://www.visionbib.com/bibliography/match600fitu4.html#TT130790"}

@inproceedings{bb134774,
        AUTHOR = "Luo, X. and Lu, X.M. and Jiang, Z.H. and Zhou, S.K.",
        TITLE = "ICP: Immediate Compensation Pruning for Mid-to-high Sparsity",
        BOOKTITLE = CVPR25,
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@inproceedings{bb134775,
        AUTHOR = "Chen, T.R. and Chen, J.R. and Zhang, B.Q. and Yu, Z.H. and Chen, S.D. and Ye, R. and Li, X. and Ye, Y.M.",
        TITLE = "Sensitivity-Aware Efficient Fine-Tuning via Compact Dynamic-Rank
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@inproceedings{bb134776,
        AUTHOR = "Sami, H.U. and Sen, S. and Roy Chowdhury, A.K. and Krishnamurthy, S.V. and Guler, B.",
        TITLE = "Gradient Inversion Attacks on Parameter-Efficient Fine-Tuning",
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@inproceedings{bb134777,
        AUTHOR = "Liu, T. and Zhang, H.X. and Parashar, S. and Kong, S.",
        TITLE = "Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning",
        BOOKTITLE = CVPR25,
        YEAR = "2025",
        PAGES = "15086-15097",
        BIBSOURCE = "http://www.visionbib.com/bibliography/match600fitu4.html#TT130794"}

@inproceedings{bb134778,
        AUTHOR = "Mai, Z. and Zhang, P. and Tu, C.H. and Chen, H.Y. and Nguyen, Q.H. and Zhang, L. and Chao, W.L.",
        TITLE = "Lessons and Insights from a Unifying Study of Parameter-Efficient
Fine-Tuning (PEFT) in Visual Recognition",
        BOOKTITLE = CVPR25,
        YEAR = "2025",
        PAGES = "14845-14857",
        BIBSOURCE = "http://www.visionbib.com/bibliography/match600fitu4.html#TT130795"}

@inproceedings{bb134779,
        AUTHOR = "Cai, X. and Pan, R.J. and Yang, H.",
        TITLE = "LoKi: Low-dimensional KAN for Efficient Fine-tuning Image Models",
        BOOKTITLE = CVPR25,
        YEAR = "2025",
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@inproceedings{bb134780,
        AUTHOR = "Lei, C. and Li, A. and Yao, H. and Zhu, C. and Zhang, L.",
        TITLE = "Rethinking Token Reduction with Parameter-Efficient Fine-Tuning in
ViT for Pixel-Level Tasks",
        BOOKTITLE = CVPR25,
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        PAGES = "14954-14964",
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@inproceedings{bb134781,
        AUTHOR = "Han, X. and Tang, Y. and Xu, J.F. and Li, X.Z.",
        TITLE = "MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning",
        BOOKTITLE = CVPR25,
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@inproceedings{bb134782,
        AUTHOR = "Yao, D.",
        TITLE = "Towards Privacy-Preserving Split Learning for ControlNet",
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        AUTHOR = "Fang, Z.Y. and Wang, Y. and Yi, R. and Ma, L.Z.",
        TITLE = "Dropout Mixture Low-rank Adaptation for Visual Parameters-efficient
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        BOOKTITLE = ECCV24,
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@inproceedings{bb134784,
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@inproceedings{bb134786,
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@inproceedings{bb134787,
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@inproceedings{bb134788,
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@inproceedings{bb134790,
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@inproceedings{bb134791,
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@inproceedings{bb134796,
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@inproceedings{bb134797,
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@inproceedings{bb134798,
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@inproceedings{bb134799,
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