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Sparse Learning

Papers

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Showing 81–90 of 185 papers

TitleStatusHype
Effective Proximal Methods for Non-convex Non-smooth Regularized Learning—0
Block-wise Minimization-Majorization algorithm for Huber's criterion: sparse learning and applicationsCode1
Adaptive support driven Bayesian reweighted algorithm for sparse signal recovery—0
Event Enhanced High-Quality Image RecoveryCode1
Fast OSCAR and OWL Regression via Safe Screening RulesCode0
Bayesian Sparse learning with preconditioned stochastic gradient MCMC and its applications—0
Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and PythonCode1
SWAG: A Wrapper Method for Sparse Learning—0
Sparse learning with CART—0
A Sparse Learning Approach to the Design of Radar Tunable Architectures with Enhanced Selectivity Properties—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