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@inproceedings{bb141662,
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        TITLE = "PnG: Micro-structured Prune-and-Grow Networks for Flexible Image
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        BOOKTITLE = NTIRE21,
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@inproceedings{bb141663,
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        TITLE = "Holistic Filter Pruning for Efficient Deep Neural Networks",
        BOOKTITLE = WACV21,
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@inproceedings{bb141664,
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        TITLE = "MINT: Deep Network Compression via Mutual Information-based Neuron
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        BOOKTITLE = ICPR21,
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@inproceedings{bb141665,
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        TITLE = "Slimming ResNet by Slimming Shortcut",
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@inproceedings{bb141666,
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@inproceedings{bb141667,
        AUTHOR = "Yu, F. and Han, C.Q. and Wang, P.C. and Huang, R. and Huang, X. and Cui, L.",
        TITLE = "HFP: Hardware-Aware Filter Pruning for Deep Convolutional Neural
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@inproceedings{bb141668,
        AUTHOR = "Shen, S.B. and Li, R.P. and Zhao, Z.F. and Zhang, H.G. and Zhou, Y.",
        TITLE = "Learning to Prune in Training via Dynamic Channel Propagation",
        BOOKTITLE = ICPR21,
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        PAGES = "939-945",
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@inproceedings{bb141669,
        AUTHOR = "Nguyen Meidine, L.T. and Granger, E. and Kiran, M. and Pedersoli, M. and Blais Morin, L.A.",
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Adaptation",
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@inproceedings{bb141670,
        AUTHOR = "Mitsuno, K. and Kurita, T.",
        TITLE = "Filter Pruning using Hierarchical Group Sparse Regularization for
Deep Convolutional Neural Networks",
        BOOKTITLE = ICPR21,
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        PAGES = "1089-1095",
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@inproceedings{bb141671,
        AUTHOR = "Soltani, M. and Wu, S. and Ding, J. and Ravier, R. and Tarokh, V.",
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Networks",
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@inproceedings{bb141672,
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@inproceedings{bb141673,
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Introducing Accelerated Iterative Magnitude Pruning",
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@inproceedings{bb141674,
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@inproceedings{bb141675,
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@inproceedings{bb141676,
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@inproceedings{bb141679,
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@inproceedings{bb141683,
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@inproceedings{bb141695,
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@inproceedings{bb141696,
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@inproceedings{bb141697,
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@inproceedings{bb141698,
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@inproceedings{bb141699,
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