Learning with Structured Sparsity

17 March 2009

Tong Zhang

Papers citing "Learning with Structured Sparsity"

50 / 129 papers shown

Title
SPP-SBL: Space-Power Prior Sparse Bayesian Learning for Block Sparse Recovery Yanhao Zhang Zhihan Zhu Yong Xia 29 0 0 13 May 2025
Adaptive Block Sparse Regularization under Arbitrary Linear Transform Takanobu Furuhashi H. Hontani Tatsuya Yokota 33 0 0 27 Jan 2024
A unified consensus-based parallel ADMM algorithm for high-dimensional regression with combined regularizations Xiaofei Wu Zhimin Zhang Zhenyu Cui 8 3 0 21 Nov 2023
A minimax optimal approach to high-dimensional double sparse linear regression Yanhang Zhang Zhifan Li J. Yin 21 4 0 07 May 2023
Learning Partial Correlation based Deep Visual Representation for Image Classification Saimunur Rahman Piotr Koniusz Lei Wang Luping Zhou Peyman Moghadam Changming Sun SSL 35 9 0 23 Apr 2023
Low Rank Optimization for Efficient Deep Learning: Making A Balance between Compact Architecture and Fast Training Xinwei Ou Zhangxin Chen Ce Zhu Yipeng Liu 36 4 0 22 Mar 2023
MGiaD: Multigrid in all dimensions. Efficiency and robustness by coarsening in resolution and channel dimensions Antonia van Betteray Matthias Rottmann Karsten Kahl 31 2 0 10 Nov 2022
Datamodels: Predicting Predictions from Training Data Andrew Ilyas Sung Min Park Logan Engstrom Guillaume Leclerc A. Madry TDI 47 131 0 01 Feb 2022
Exclusive Group Lasso for Structured Variable Selection D. Gregoratti Xavier Mestre Carlos Buelga 13 2 0 23 Aug 2021
Convex Latent Effect Logit Model via Sparse and Low-rank Decomposition Hongyuan Zhan Kamesh Madduri V. Shankar 10 0 0 22 Aug 2021
Attribute Guided Sparse Tensor-Based Model for Person Re-Identification Fariborz Taherkhani Ali Dabouei Sobhan Soleymani J. Dawson Nasser M. Nasrabadi CVBM 38 2 0 29 Jul 2021
Only Train Once: A One-Shot Neural Network Training And Pruning Framework Tianyi Chen Bo Ji Tianyu Ding Biyi Fang Guanyi Wang Zhihui Zhu Luming Liang Yixin Shi Sheng Yi Xiao Tu 24 102 0 15 Jul 2021
The Values Encoded in Machine Learning Research Abeba Birhane Pratyusha Kalluri Dallas Card William Agnew Ravit Dotan Michelle Bao 35 274 0 29 Jun 2021
Granger Causality: A Review and Recent Advances Ali Shojaie E. Fox CML AI4TS 32 259 0 05 May 2021
Modelling Heterogeneity Using Bayesian Structured Sparsity Max Goplerud CML 18 3 0 29 Mar 2021
Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior Zi Lin Jeremiah Zhe Liu Ziao Yang Nan Hua Dan Roth 27 46 0 05 Oct 2020
Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning Bingbing Li Zhenglun Kong Tianyun Zhang Ji Li Zechao Li Hang Liu Caiwen Ding VLM 32 64 0 17 Sep 2020
Making Neural Networks Interpretable with Attribution: Application to Implicit Signals Prediction Darius Afchar Romain Hennequin FAtt XAI 39 16 0 26 Aug 2020
Approximation Guarantees of Local Search Algorithms via Localizability of Set Functions K. Fujii 19 1 0 02 Jun 2020
When Dictionary Learning Meets Deep Learning: Deep Dictionary Learning and Coding Network for Image Recognition with Limited Data H. Tang Hong Liu Wei Xiao N. Sebe 21 73 0 21 May 2020
Sparse and redundant signal representations for x-ray computed tomography Davood Karimi MedIm 21 1 0 06 Dec 2019
SpaRCe: Improved Learning of Reservoir Computing Systems through Sparse Representations Luca Manneschi Andrew C. Lin Eleni Vasilaki 19 20 0 04 Dec 2019
Learning Sparse Distributions using Iterative Hard Thresholding Jacky Y. Zhang Rajiv Khanna Anastasios Kyrillidis Oluwasanmi Koyejo 16 4 0 29 Oct 2019
Learning sparsity in reservoir computing through a novel bio-inspired algorithm Luca Manneschi Andrew C. Lin Eleni Vasilaki 12 1 0 19 Jul 2019
Error Analysis on Graph Laplacian Regularized Estimator Kaige Yang Xiaowen Dong Laura Toni 14 1 0 11 Feb 2019
Knowledge-Based Regularization in Generative Modeling Naoya Takeishi Yoshinobu Kawahara GAN 22 0 0 06 Feb 2019
Gradient Boosted Feature Selection Z. Xu Gao Huang Kilian Q. Weinberger A. Zheng 11 172 0 13 Jan 2019
From biological vision to unsupervised hierarchical sparse coding Victor Boutin Angelo Franciosini F. Ruffier Laurent Udo Perrinet MedIm 10 0 0 04 Dec 2018
FLOPs as a Direct Optimization Objective for Learning Sparse Neural Networks Gautam Bhattacharya Ashutosh Adhikari Md. Jahangir Alam 15 33 0 07 Nov 2018
SNIP: Single-shot Network Pruning based on Connection Sensitivity Namhoon Lee Thalaiyasingam Ajanthan Philip Torr VLM 14 1,171 0 04 Oct 2018
Fast greedy algorithms for dictionary selection with generalized sparsity constraints K. Fujii Tasuku Soma 9 6 0 07 Sep 2018
Blind Community Detection from Low-rank Excitations of a Graph Filter Hoi-To Wai Santiago Segarra Asuman E. Ozdaglar Anna Scaglione Ali Jadbabaie 11 44 0 05 Sep 2018
Group-sparse SVD Models and Their Applications in Biological Data Wenwen Min Juan Liu Shihua Zhang 18 3 0 28 Jul 2018
Knowledge-Based Distant Regularization in Learning Probabilistic Models Naoya Takeishi Kosuke Akimoto 11 5 0 29 Jun 2018
Neural Granger Causality Alex Tank Ian Covert N. Foti Ali Shojaie E. Fox CML 18 100 0 16 Feb 2018
Graph-Sparse Logistic Regression A. LeNail Ludwig Schmidt Johnathan Li T. Ehrenberger K. Sachs Stefanie Jegelka E. Fraenkel 18 2 0 15 Dec 2017
Learning Sparse Neural Networks through $L_0$ Regularization Christos Louizos Max Welling Diederik P. Kingma 31 1,129 0 04 Dec 2017
Dependent relevance determination for smooth and structured sparse regression Anqi Wu Oluwasanmi Koyejo Jonathan W. Pillow 24 8 0 28 Nov 2017
Complex Structure Leads to Overfitting: A Structure Regularization Decoding Method for Natural Language Processing Xu Sun Weiwei Sun Shuming Ma Xuancheng Ren Wenjie Qu Wenjie Li Houfeng Wang 22 7 0 25 Nov 2017
Color Face Recognition using High-Dimension Quaternion-based Adaptive Representation Q. Feng Yicong Zhou CVBM 16 1 0 19 Nov 2017
Combinatorial Penalties: Which structures are preserved by convex relaxations? Marwa El Halabi Francis R. Bach V. Cevher 21 16 0 17 Oct 2017
Robust Online Matrix Factorization for Dynamic Background Subtraction Hongwei Yong Deyu Meng W. Zuo Lei Zhang 16 164 0 28 May 2017
Best-Choice Edge Grafting for Efficient Structure Learning of Markov Random Fields W. Chaabene Bert Huang 13 0 0 25 May 2017
Sample-Efficient Algorithms for Recovering Structured Signals from Magnitude-Only Measurements Gauri Jagatap C. Hegde 11 4 0 18 May 2017
On the Global-Local Dichotomy in Sparsity Modeling Dmitry Batenkov Yaniv Romano Michael Elad 24 15 0 11 Feb 2017
Technical Report: A Generalized Matching Pursuit Approach for Graph-Structured Sparsity F. Chen Baojian Zhou 22 16 0 11 Dec 2016
Two-Level Structural Sparsity Regularization for Identifying Lattices and Defects in Noisy Images Xin Li A. Belianinov Ondrej Dyck S. Jesse Chiwoo Park 26 5 0 24 Nov 2016
Exploiting Structure Sparsity for Covariance-based Visual Representation Jianjia Zhang Lei Wang Luping Zhou Wanqing Li CML 18 4 0 27 Oct 2016
Technical Report: Graph-Structured Sparse Optimization for Connected Subgraph Detection Baojian Zhou F. Chen 26 14 0 30 Sep 2016
Multi-dimensional signal approximation with sparse structured priors using split Bregman iterations Yoann Isaac Quentin Barthélemy Cédric Gouy-Pailler Michèle Sebag Jamal Atif 33 8 0 29 Sep 2016