Keyword

structured sparsity

Description: A statistical and machine-learning approach that promotes sparse solutions while encoding relationships or groupings among variables or model parameters.

Primary topic: Sparse and Compressive Sensing Techniques (23%)

OpenAlex ID: keywords/structured-sparsity

Learning Structured Sparsity in Deep Neural Networks

2016 · Wen, Wei, Wu, Chunpeng, et al. · arXiv (Cornell University) · 1,861

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Block-Sparse Signals: Uncertainty Relations and Efficient Recovery

2010 · Yonina C. Eldar, Patrick Kuppinger, et al. · IEEE Transactions on Signal Processing · 1,313

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Revisiting Frank-Wolfe: Projection-Free Sparse Convex Optimization

2013 · Martin Jaggi · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · 865

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Optimization with Sparsity-Inducing Penalties

2012 · Bach Francis, Rodolphe Jenatton, et al. · Foundations and Trends® in Machine Learning · 759

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Structured Pruning of Deep Convolutional Neural Networks

2017 · Sajid Anwar, Kyuyeon Hwang, et al. · ACM Journal on Emerging Technologies in Computing Systems · 708

Optimization with Sparsity-Inducing Penalties

2011 · Francis Bach · now publishers, Inc. eBooks · 608

Compressive Sensing via Nonlocal Low-Rank Regularization

2014 · Weisheng Dong, Guangming Shi, et al. · IEEE Transactions on Image Processing · 598

Solving Inverse Problems With Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity

2011 · Guoshen Yu, G. Sapiro, et al. · IEEE Transactions on Image Processing · 564

Structured Variable Selection with Sparsity-Inducing Norms

2009 · Jenatton, Rodolphe, Audibert, Jean-Yves, et al. · arXiv (Cornell University) · 499

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Sums of Squares and Semidefinite Program Relaxations for Polynomial Optimization Problems with Structured Sparsity

2006 · Hayato Waki, Sunyoung Kim, et al. · SIAM Journal on Optimization · 439

Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity

2018 · Kim, Seyoung, P. Xing, Eric · Figshare · 374

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Feature Selection Based on Structured Sparsity: A Comprehensive Study

2016 · Jie Gui, Zhenan Sun, et al. · IEEE Transactions on Neural Networks and Learning Systems · 335

Structured Sparsity through Convex Optimization

2012 · Francis Bach, Rodolphe Jenatton, et al. · Statistical Science · 323

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Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers

2018 · Ye, Jianbo, Lu, Xin, et al. · arXiv (Cornell University) · 310

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Learning the Number of Neurons in Deep Networks

2016 · Alvarez, Jose M, Salzmann, Mathieu · arXiv (Cornell University) · 302

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Grant-Free Massive MTC-Enabled Massive MIMO: A Compressive Sensing Approach

2018 · Kamil Senel, Erik G. Larsson · IEEE Transactions on Communications · 296

Pattern-Coupled Sparse Bayesian Learning for Recovery of Block-Sparse Signals

2014 · Jun Fang, Yanning Shen, et al. · IEEE Transactions on Signal Processing · 295

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Learning with Structured Sparsity

2009 · Huang, Junzhou, Zhang, Tong, et al. · arXiv (Cornell University) · 275

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Multi-View Clustering and Feature Learning via Structured Sparsity

2013 · Hua Wang, Feiping Nie, et al. · 274

Sparse regression using mixed norms

2009 · Matthieu Kowalski · Applied and Computational Harmonic Analysis · 267

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Background Subtraction Based on Low-Rank and Structured Sparse Decomposition

2015 · Xin Liu, Guoying Zhao, et al. · IEEE Transactions on Image Processing · 246

Beyond spatial pyramids: Receptive field learning for pooled image features

2012 · Yangqing Jia, Chang Huang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 238

Exploring the Regularity of Sparse Structure in Convolutional Neural Networks

2017 · Mao, Huizi, Han, Song, et al. · arXiv (Cornell University) · 219

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Multilayer Sparsity-Based Tensor Decomposition for Low-Rank Tensor Completion

2021 · Jize Xue, Yongqiang Zhao, et al. · IEEE Transactions on Neural Networks and Learning Systems · 210

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Image Restoration via Simultaneous Sparse Coding: Where Structured Sparsity Meets Gaussian Scale Mixture

2015 · Weisheng Dong, Guangming Shi, et al. · International Journal of Computer Vision · 206

Works count: 1,755

Citation count: 32,390