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The compression of deep neural networks (DNNs) to reduce inference cost becomes increasingly important to meet realistic deployment requirements of various applications.
Regression shrinkage and selection via the lasso
Robert Tibshirani · 1996
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Tianyi Chen, Tianyu Ding, Bo Ji, Guanyi Wang, Yixin Shi, Sheng Yi, Xiao Tu, and Zhihui Zhu · 2004
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Model compression
Cristian Buciluǎ, Rich Caruana, and Alexandru Niculescu-Mizil · 2006
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The group-lasso for generalized linear models: uniqueness of solutions and efficient algorithms
Volker Roth and Bernd Fischer · 2008
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A fast iterative shrinkage-thresholding algorithm for linear inverse problems
Amir Beck and Marc Teboulle · 2009
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A half-space stochastic projected gradient method for group-sparsity regularization
Tianyi Chen, Guanyi Wang, Tianyu Ding, Bo Ji, Sheng Yi, and Zhihui Zhu · 2009
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Learning multiple layers of features from tiny images
A. Krizhevsky and G. Hinton · 2009
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Dual averaging methods for regularized stochastic learning and online optimization
Lin Xiao · 2010
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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A proximal stochastic gradient method with progressive variance reduction
Lin Xiao and Tong Zhang · 2014
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Distilling the knowledge in a neural network
Geoffrey Hinton, Oriol Vinyals, and Jeff Dean · 2015
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A second-order method for convex ℓ 1 \ell_{1} -regularized optimization with active set prediction
Nitish Shirish Keskar, Jorge Nocedal, Figen Oztoprak, and Andreas Waechter · 2015
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Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Network trimming: A data-driven neuron pruning approach towards efficient deep architectures
Hengyuan Hu, Rui Peng, Yu-Wing Tai, and Chi-Keung Tang · 2016
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Pruning filters for efficient convnets. arxiv 2016
H Li, A Kadav, I Durdanovic, H Samet, and HP Graf · 2016
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Thinet: A filter level pruning method for deep neural network compression
Jian-Hao Luo, Jianxin Wu, and Weiyao Lin · 2017
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Structured bayesian pruning via log-normal multiplicative noise
Kirill Neklyudov, Dmitry Molchanov, Arsenii Ashukha, and Dmitry P Vetrov · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
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A Fast Reduced-Space Algorithmic Framework for Sparse Optimization
Tianyi Chen · 2018
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Quantization and training of neural networks for efficient integer-arithmetic-only inference
Benoit Jacob, Skirmantas Kligys, Bo Chen, Menglong Zhu, Matthew Tang, Andrew Howard, Hartwig Adam, and Dmitry Kalenichenko · 2018
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Pruning filters for efficient convnets
Hao Li, Asim Kadav, Igor Durdanovic, Hanan Samet, and Hans Peter Graf · 2016
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Learning structured sparsity in deep neural networks
Wei Wen, Chunpeng Wu, Yandan Wang, Yiran Chen, and Hai Li · 2016
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Quantized convolutional neural networks for mobile devices
Jiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu, and Jian Cheng · 2016
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Dorefa-net: Training low bitwidth convolutional neural networks with low bitwidth gradients
Shuchang Zhou, Yuxin Wu, Zekun Ni, Xinyu Zhou, He Wen, and Yuheng Zou · 2016
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A reduced-space algorithm for minimizing ℓ 1 \ell_{1} -regularized convex functions
Tianyi Chen, Frank E Curtis, and Daniel P Robinson · 2017
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Bayesian compression for deep learning
Christos Louizos, Karen Ullrich, and Max Welling · 2017
Cited alongside, same era.
Soft filter pruning for accelerating deep convolutional neural networks
Yang He, Guoliang Kang, Xuanyi Dong, Yanwei Fu, and Yi Yang
Cited in the paper.
Antonio Polino, Razvan Pascanu, and Dan Alistarh · 2018
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The state of sparsity in deep neural networks
Trevor Gale, Erich Elsen, and Sara Hooker · 2019
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Exploiting kernel sparsity and entropy for interpretable cnn compression
Yuchao Li, Shaohui Lin, Baochang Zhang, Jianzhuang Liu, David Doermann, Yongjian Wu, Feiyue Huang, and Rongrong Ji · 2019
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Toward compact convnets via structure-sparsity regularized filter pruning
Shaohui Lin, Rongrong Ji, Yuchao Li, Cheng Deng, and Xuelong Li · 2019
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Accelerate cnn via recursive bayesian pruning
Yuefu Zhou, Ya Zhang, Yanfeng Wang, and Qi Tian · 2019
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Object detection and segmentation for inking applications, September 24 2020
Yixin Shi, Aman Orazaev, Tianyi Chen, and Sheng YI · 2020
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