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Sparse Learning

Papers

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Showing 101–125 of 185 papers

TitleStatusHype
Learning High Order Feature Interactions with Fine Control Kernels—0
On Newton Screening—0
Optimal Stochastic and Online Learning with Individual Iterates—0
A Discriminative Gaussian Mixture Model with Sparsity—0
Collaborative Preference Embedding against Sparse LabelsCode0
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
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
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
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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