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Sparse Learning

Papers

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Showing 101–150 of 185 papers

TitleStatusHype
Learning Cluster Structured Sparsity by Reweighting—0
A Knowledge Transfer Framework for Differentially Private Sparse Learning—0
A Bayesian Lasso based Sparse Learning Model—0
The Tradeoff Between Privacy and Accuracy in Anomaly Detection Using Federated XGBoostCode0
Sparse Networks from Scratch: Faster Training without Losing PerformanceCode1
A unified approach to mixed-integer optimization problems with logical constraints—0
RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend FilteringCode0
Optimal approximation for unconstrained non-submodular minimizationCode0
forgeNet: A graph deep neural network model using tree-based ensemble classifiers for feature extraction—0
Concise Fuzzy System Modeling Integrating Soft Subspace Clustering and Sparse Learning—0
Sparse Learning for Variable Selection with Structures and Nonlinearities—0
The State of Sparsity in Deep Neural NetworksCode1
Structure learning via unstructured kernel-based M-regression—0
Proximal SCOPE for Distributed Sparse Learning—0
Dantzig Selector with an Approximately Optimal Denoising Matrix and its Application to Reinforcement Learning—0
Cross-Modal Ranking with Soft Consistency and Noisy Labels for Robust RGB-T TrackingCode0
Implicit Discourse Relation Recognition using Neural Tensor Network with Interactive Attention and Sparse Learning—0
Sparse Range-constrained Learning and Its Application for Medical Image Grading—0
Safe Active Feature Selection for Sparse Learning—0
Safe Element Screening for Submodular Function Minimization—0
Structure-preserving Guided Retinal Image Filtering and Its Application for Optic Disc Analysis—0
Learning on Hypergraphs with Sparsity—0
Locally Convex Sparse Learning over Networks—0
Proximal SCOPE for Distributed Sparse Learning: Better Data Partition Implies Faster Convergence Rate—0
Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization AlgorithmsCode1
A graph-embedded deep feedforward network for disease outcome classification and feature selection using gene expression dataCode0
Graph Autoencoder-Based Unsupervised Feature Selection with Broad and Local Data Structure Preservation—0
Strongly Hierarchical Factorization Machines and ANOVA Kernel Regression—0
A New Data-Driven Sparse-Learning Approach to Study Chemical Reaction Networks—0
Super-sparse Learning in Similarity Spaces—0
A Data-Driven Sparse-Learning Approach to Model Reduction in Chemical Reaction Networks—0
Sparse learning of stochastic dynamic equationsCode0
Parametric Simplex Method for Sparse Learning—0
On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning—0
Nonsparse learning with latent variables—0
Communication-efficient Algorithm for Distributed Sparse Learning via Two-way Truncation—0
Subset Selection with Shrinkage: Sparse Linear Modeling when the SNR is lowCode0
Scalable Training of Artificial Neural Networks with Adaptive Sparse Connectivity inspired by Network ScienceCode1
On Quadratic Convergence of DC Proximal Newton Algorithm for Nonconvex Sparse Learning in High Dimensions—0
Automatically Redundant Features Removal for Unsupervised Feature Selection via Sparse Feature Graph—0
Learning task structure via sparsity grouped multitask learningCode0
Homotopy Parametric Simplex Method for Sparse Learning—0
From safe screening rules to working sets for faster Lasso-type solversCode0
On The Projection Operator to A Three-view Cardinality Constrained Set—0
Variational Dropout Sparsifies Deep Neural NetworksCode1
Decentralized Frank-Wolfe Algorithm for Convex and Non-convex Problems—0
Simultaneous Clustering and Estimation of Heterogeneous Graphical Models—0
Fast Learning with Nonconvex L1-2 Regularization—0
Online Unsupervised Multi-view Feature Selection—0
Local Region Sparse Learning for Image-on-Scalar Regression—0
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All datasetsImageNetCINIC-10ImageNet32

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Resnet-50: 80% SparseTop-1 Accuracy77.1—Unverified
2Resnet-50: 90% SparseTop-1 Accuracy76.4—Unverified
3Resnet-50: 80% Sparse 100 epochsTop-1 Accuracy76—Unverified
4Resnet-50: 80% Sparse 100 epochsTop-1 Accuracy75.84—Unverified
5Resnet-50: 90% Sparse 100 epochsTop-1 Accuracy74.5—Unverified
6Resnet-50: 90% Sparse 100 epochsTop-1 Accuracy73.82—Unverified
7MobileNet-v1: 75% SparseTop-1 Accuracy71.9—Unverified
8MobileNet-v1: 90% SparseTop-1 Accuracy68.1—Unverified
9SINDyTop-1 Accuracy6—Unverified
#ModelMetricClaimedVerifiedStatus
1Resnet18Sparsity92.43—Unverified
#ModelMetricClaimedVerifiedStatus
1Resnet18Sparsity93.63—Unverified