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Sparse Learning

Papers

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Showing 51–100 of 185 papers

TitleStatusHype
ssProp: Energy-Efficient Training for Convolutional Neural Networks with Scheduled Sparse Back PropagationCode0
Lottery Aware Sparsity Hunting: Enabling Federated Learning on Resource-Limited EdgeCode0
From safe screening rules to working sets for faster Lasso-type solversCode0
Homotopy Parametric Simplex Method for Sparse Learning—0
HONOR: Hybrid Optimization for NOn-convex Regularized problems—0
Implicit Discourse Relation Recognition using Neural Tensor Network with Interactive Attention and Sparse Learning—0
Improving Sequential Recommendation Consistency with Self-Supervised Imitation—0
Approximate Post-Selective Inference for Regression with the Group LASSO—0
Infinite-dimensional optimization and Bayesian nonparametric learning of stochastic differential equations—0
Infinite-Dimensional Sparse Learning in Linear System Identification—0
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks—0
Learning Cluster Structured Sparsity by Reweighting—0
Learning governing physics from output only measurements—0
Learning High Order Feature Interactions with Fine Control Kernels—0
Learning on Hypergraphs with Sparsity—0
Learning sparse auto-encoders for green AI image coding—0
Learning Sparsity for Effective and Efficient Music Performance Question Answering—0
Learning where to learn—0
Locally Convex Sparse Learning over Networks—0
Local Region Sparse Learning for Image-on-Scalar Regression—0
Low-Rank Matrix Regression via Least-Angle Regression—0
Multi-SIGATnet: A multimodal schizophrenia MRI classification algorithm using sparse interaction mechanisms and graph attention networks—0
Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor Segmentation—0
Multi-task Sparse Learning with Beta Process Prior for Action Recognition—0
Multivariate Dyadic Regression Trees for Sparse Learning Problems—0
Nonconvex Sparse Learning via Stochastic Optimization with Progressive Variance Reduction—0
Nonparametric Greedy Algorithms for the Sparse Learning Problem—0
Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels—0
Nonparametric Sparse Online Learning of the Koopman Operator—0
Nonsparse learning with latent variables—0
Online Unsupervised Multi-view Feature Selection—0
On Newton Screening—0
On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning—0
On Quadratic Convergence of DC Proximal Newton Algorithm for Nonconvex Sparse Learning in High Dimensions—0
On the exact recovery of sparse signals via conic relaxations—0
On The Projection Operator to A Three-view Cardinality Constrained Set—0
Optimizing Hard Thresholding for Sparse Model Discovery—0
Parametric Maxflows for Structured Sparse Learning with Convex Relaxations of Submodular Functions—0
Parametric Simplex Method for Sparse Learning—0
Partial Occlusion Handling for Visual Tracking via Robust Part Matching—0
Pathwise Coordinate Optimization for Sparse Learning: Algorithm and Theory—0
Proximal SCOPE for Distributed Sparse Learning: Better Data Partition Implies Faster Convergence Rate—0
Proximal SCOPE for Distributed Sparse Learning—0
Pushing the Limits of Sparsity: A Bag of Tricks for Extreme Pruning—0
Quasi-potential and drift decomposition in stochastic systems by sparse identification—0
Bayesian data-driven discovery of partial differential equations with variable coefficients—0
SAFARI: Sparsity enabled Federated Learning with Limited and Unreliable Communications—0
Safe Active Feature Selection for Sparse Learning—0
Safe and Efficient Screening For Sparse Support Vector Machine—0
Safe Element Screening for Submodular Function Minimization—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