SOTAVerified

Sparse Learning

Papers

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Showing 76–100 of 185 papers

TitleStatusHype
ERNIE-SPARSE: Learning Hierarchical Efficient Transformer Through Regularized Self-Attention—0
SL-CycleGAN: Blind Motion Deblurring in Cycles using Sparse LearningCode0
Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor Segmentation—0
High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data—0
Towards Low-Latency Energy-Efficient Deep SNNs via Attention-Guided Compression—0
Improving Sequential Recommendation Consistency with Self-Supervised Imitation—0
Surrogate assisted active subspace and active subspace assisted surrogate -- A new paradigm for high dimensional structural reliability analysis—0
Grouped Variable Selection with Discrete Optimization: Computational and Statistical PerspectivesCode0
Learning where to learn—0
Bayesian data-driven discovery of partial differential equations with variable coefficients—0
Approximate Post-Selective Inference for Regression with the Group LASSO—0
Federated Nonconvex Sparse Learning—0
Similarity Preserving Unsupervised Feature Selection based on Sparse LearningCode0
KNN Classification with One-step ComputationCode0
Thunder: a Fast Coordinate Selection Solver for Sparse LearningCode0
Accelerated Gradient Methods for Sparse Statistical Learning with Nonconvex PenaltiesCode0
Effective Proximal Methods for Non-convex Non-smooth Regularized Learning—0
Adaptive support driven Bayesian reweighted algorithm for sparse signal recovery—0
Bayesian Sparse learning with preconditioned stochastic gradient MCMC and its applications—0
Fast OSCAR and OWL Regression via Safe Screening RulesCode0
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
Classification of Chinese Handwritten Numbers with Labeled Projective Dictionary Pair Learning—0
Adaptive Neural Connections for Sparsity Learning—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