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random pruning",
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@inproceedings{bb120164,
        AUTHOR = "Mittal, D. and Bhardwaj, S. and Khapra, M.M. and Ravindran, B.",
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@inproceedings{bb120165,
        AUTHOR = "Bhardwaj, S. and Srinivasan, M. and Khapra, M.M.",
        TITLE = "Efficient Video Classification Using Fewer Frames",
        BOOKTITLE = CVPR19,
        YEAR = "2019",
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@article{bb120166,
        AUTHOR = "Yang, W.Z. and Jin, L.L. and Wang, S. and Cu, Z.C. and Chen, X.Y. and Chen, L.P.",
        TITLE = "Thinning of convolutional neural network with mixed pruning",
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@article{bb120167,
        AUTHOR = "Luo, J.H. and Zhang, H. and Zhou, H.Y. and Xie, C.W. and Wu, J.X. and Lin, W.Y.",
        TITLE = "ThiNet: Pruning CNN Filters for a Thinner Net",
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@article{bb120168,
        AUTHOR = "Ide, H. and Kobayashi, T. and Watanabe, K. and Kurita, T.",
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@article{bb120169,
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        TITLE = "Accelerator-Aware Pruning for Convolutional Neural Networks",
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@article{bb120170,
        AUTHOR = "Tsai, C.Y. and Gao, D.Q. and Ruan, S.J.",
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surveillance videos",
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@article{bb120171,
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@article{bb120172,
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        TITLE = "AutoPruner: An end-to-end trainable filter pruning method for
efficient deep model inference",
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@article{bb120173,
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        TITLE = "Where to Prune: Using LSTM to Guide Data-Dependent Soft Pruning",
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@article{bb120174,
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        TITLE = "Task dependent deep LDA pruning of neural networks",
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@article{bb120175,
        AUTHOR = "Tian, G. and Chen, J. and Zeng, X. and Liu, Y.",
        TITLE = "Pruning by Training: A Novel Deep Neural Network Compression
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@article{bb120176,
        AUTHOR = "Guo, J.Y. and Zhang, W.C. and Ouyang, W.L. and Xu, D.",
        TITLE = "Model Compression Using Progressive Channel Pruning",
        JOURNAL = CirSysVideo,
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@article{bb120177,
        AUTHOR = "Alqahtani, A. and Xie, X.H. and Jones, M.W. and Essa, E.",
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representations",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652nnp2.html#TT116407"}

@inproceedings{bb120178,
        AUTHOR = "Alqahtani, A. and Xie, X.H. and Essa, E. and Jones, M.W.",
        TITLE = "Neuron-based Network Pruning Based on Majority Voting",
        BOOKTITLE = ICPR21,
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@article{bb120179,
        AUTHOR = "Wang, Y. and Park, H. and Lee, J.",
        TITLE = "Memory-Free Stochastic Weight Averaging by One-Way Variational
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@article{bb120180,
        AUTHOR = "Li, G. and Xu, G.",
        TITLE = "Providing clear pruning threshold: A novel CNN pruning method via L0
regularisation",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652nnp2.html#TT116410"}

@article{bb120181,
        AUTHOR = "Liu, Y.X. and Guo, Y. and Guo, J.X. and Jiang, L. and Chen, J.",
        TITLE = "Conditional Automated Channel Pruning for Deep Neural Networks",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652nnp2.html#TT116411"}

@article{bb120182,
        AUTHOR = "Osaku, D. and Gomes, J.F. and Falcao, A.X.",
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@inproceedings{bb120184,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern652nnp2.html#TT116414"}

@inproceedings{bb120185,
        AUTHOR = "Jiang, W. and Wang, W. and Liu, S. and Li, S.",
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        BOOKTITLE = NTIRE21,
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@inproceedings{bb120186,
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        TITLE = "Holistic Filter Pruning for Efficient Deep Neural Networks",
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        YEAR = "2021",
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@inproceedings{bb120187,
        AUTHOR = "Ganesh, M.R. and Corso, J.J. and Sekeh, S.Y.",
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        BOOKTITLE = ICPR21,
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@inproceedings{bb120188,
        AUTHOR = "Joo, D.G. and Kim, D. and Kim, J.",
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@inproceedings{bb120189,
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@inproceedings{bb120190,
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@inproceedings{bb120191,
        AUTHOR = "Shen, S. and Li, R. and Zhao, Z. and Zhang, H.G. and Zhou, Y.",
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@inproceedings{bb120192,
        AUTHOR = "Nguyen Meidine, L.T. and Granger, E. and Kiran, M. and Pedersoli, M. and Blais Morin, L.A.",
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@inproceedings{bb120193,
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Deep Convolutional Neural Networks",
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@inproceedings{bb120194,
        AUTHOR = "Soltani, M. and Wu, S. and Ding, J. and Ravier, R. and Tarokh, V.",
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@inproceedings{bb120195,
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@inproceedings{bb120196,
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@inproceedings{bb120197,
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@inproceedings{bb120198,
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@inproceedings{bb120199,
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